From ad0165fed977e36f617e555f2711255c94257a44 Mon Sep 17 00:00:00 2001 From: jmq19950824 Date: Fri, 8 Jul 2022 09:34:52 +0800 Subject: [PATCH] update demo --- .../run_customized-checkpoint.ipynb | 9708 ----------------- README.md | 8 +- run_customized.ipynb | 5271 --------- 3 files changed, 5 insertions(+), 14982 deletions(-) delete mode 100644 .ipynb_checkpoints/run_customized-checkpoint.ipynb delete mode 100644 run_customized.ipynb diff --git a/.ipynb_checkpoints/run_customized-checkpoint.ipynb b/.ipynb_checkpoints/run_customized-checkpoint.ipynb deleted file mode 100644 index 2a558a7..0000000 --- a/.ipynb_checkpoints/run_customized-checkpoint.ipynb +++ /dev/null @@ -1,9708 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Run the customized algorithms by ADBench\n", - "- Here we provide an example for testing 3 AD algorithms on 4 datasets, and any customized algorithm could be evaluated in ADBench.\n", - "- For reproducing the complete experiment results in ADBench, please run the code in the run.py file." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:35: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " eps=np.finfo(np.float).eps,\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:597: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " eps=np.finfo(np.float).eps, copy_X=True, fit_path=True,\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:836: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " eps=np.finfo(np.float).eps, copy_X=True, fit_path=True,\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:862: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " eps=np.finfo(np.float).eps, positive=False):\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:1097: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps,\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:1344: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps,\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\linear_model\\least_angle.py:1480: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " eps=np.finfo(np.float).eps, copy_X=True, positive=False):\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\linear_model\\randomized_l1.py:152: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " precompute=False, eps=np.finfo(np.float).eps,\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\linear_model\\randomized_l1.py:320: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " eps=np.finfo(np.float).eps, random_state=None,\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\linear_model\\randomized_l1.py:580: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " eps=4 * np.finfo(np.float).eps, n_jobs=None,\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\decomposition\\online_lda.py:31: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " EPS = np.finfo(np.float).eps\n" - ] - } - ], - "source": [ - "import pandas as pd\n", - "\n", - "import warnings\n", - "warnings.filterwarnings(\"ignore\")\n", - "\n", - "# import the necessary package\n", - "from data_generator import DataGenerator\n", - "from myutils import Utils\n", - "\n", - "datagenerator = DataGenerator()\n", - "utils = Utils()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- 3 algorithms: unsupervised IForest, semi-supervised DevNet and fully-supervised CatB\n", - "- 4 datasets: cardio, musk, optdigits and vowels" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\feature_extraction\\image.py:167: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " dtype=np.int):\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\gradient_boosting.py:34: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " from ._gradient_boosting import predict_stages\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\gradient_boosting.py:34: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " from ._gradient_boosting import predict_stages\n", - "Using TensorFlow backend.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "DeepSVDD runs only with TensorFlow 2.0+\n" - ] - } - ], - "source": [ - "from baseline.PyOD import PYOD\n", - "from baseline.DevNet.run import DevNet\n", - "from baseline.Supervised import supervised\n", - "\n", - "# dataset and model list / dict\n", - "dataset_list = ['cardio', 'musk', 'optdigits', 'speech', 'vowels']\n", - "model_dict = {'IForest': PYOD, 'DevNet': DevNet, 'CatB': supervised}\n", - "\n", - "# save the results\n", - "df_AUCROC = pd.DataFrame(data=None, index=dataset_list, columns = model_dict.keys())\n", - "df_AUCPR = pd.DataFrame(data=None, index=dataset_list, columns = model_dict.keys())" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:From D:\\Jiang\\Research_Anomaly Detection\\ADBench\\myutils.py:38: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.\n", - "\n", - "WARNING:tensorflow:From D:\\Jiang\\Research_Anomaly Detection\\ADBench\\myutils.py:39: The name tf.random.set_random_seed is deprecated. Please use tf.compat.v1.random.set_random_seed instead.\n", - "\n", - "current noise type: None\n", - "{'Samples': 1831, 'Features': 21, 'Anomalies': 176, 'Anomalies Ratio(%)': 9.61}\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\model_selection\\_split.py:1609: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " return floored.astype(np.int)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\model_selection\\_split.py:1609: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " return floored.astype(np.int)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "best param: None\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\pyod\\models\\base.py:413: UserWarning: y should not be presented in unsupervised learning.\n", - " \"y should not be presented in unsupervised learning.\")\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:313: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " elif isinstance(self.max_features, np.float):\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\base.py:158: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " dtype=np.int)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Training size: 1281, No. outliers: 12\n", - "WARNING:tensorflow:From C:\\Users\\HP\\AppData\\Roaming\\Python\\Python37\\site-packages\\tensorflow_core\\python\\ops\\resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "If using Keras pass *_constraint arguments to layers.\n", - "WARNING:tensorflow:From C:\\Users\\HP\\AppData\\Roaming\\Python\\Python37\\site-packages\\tensorflow_core\\python\\ops\\math_grad.py:1424: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n", - "Instructions for updating:\n", - "Use tf.where in 2.0, which has the same broadcast rule as np.where\n", - "WARNING:tensorflow:From D:\\Anaconda37\\lib\\site-packages\\keras\\backend\\tensorflow_backend.py:422: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.\n", - "\n", - "Epoch 1/50\n", - "20/20 [==============================] - ETA: 1s - loss: 2.863 - ETA: 0s - loss: 2.743 - ETA: 0s - loss: 2.723 - 0s 11ms/step - loss: 2.7206\n", - "Epoch 2/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.640 - ETA: 0s - loss: 2.634 - ETA: 0s - loss: 2.624 - ETA: 0s - loss: 2.612 - 0s 10ms/step - loss: 2.6061\n", - "Epoch 3/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.560 - ETA: 0s - loss: 2.547 - ETA: 0s - loss: 2.540 - ETA: 0s - loss: 2.529 - 0s 11ms/step - loss: 2.5232\n", - "Epoch 4/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.490 - ETA: 0s - loss: 2.472 - ETA: 0s - loss: 2.462 - ETA: 0s - loss: 2.451 - 0s 11ms/step - loss: 2.4435\n", - "Epoch 5/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.406 - ETA: 0s - loss: 2.397 - ETA: 0s - loss: 2.385 - ETA: 0s - loss: 2.374 - 0s 11ms/step - loss: 2.3679\n", - "Epoch 6/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.334 - ETA: 0s - loss: 2.318 - ETA: 0s - loss: 2.309 - ETA: 0s - loss: 2.301 - 0s 11ms/step - loss: 2.2966\n", - "Epoch 7/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.264 - ETA: 0s - loss: 2.250 - ETA: 0s - loss: 2.230 - ETA: 0s - loss: 2.214 - 0s 11ms/step - loss: 2.2051\n", - "Epoch 8/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.152 - ETA: 0s - loss: 2.147 - ETA: 0s - loss: 2.143 - ETA: 0s - loss: 2.132 - 0s 11ms/step - loss: 2.1240\n", - "Epoch 9/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.085 - ETA: 0s - loss: 2.078 - ETA: 0s - loss: 2.059 - ETA: 0s - loss: 2.041 - 0s 11ms/step - loss: 2.0308\n", - "Epoch 10/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.008 - ETA: 0s - loss: 1.973 - ETA: 0s - loss: 1.958 - ETA: 0s - loss: 1.944 - 0s 11ms/step - loss: 1.9379\n", - "Epoch 11/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.950 - ETA: 0s - loss: 1.888 - ETA: 0s - loss: 1.873 - ETA: 0s - loss: 1.864 - 0s 11ms/step - loss: 1.8522\n", - "Epoch 12/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.803 - ETA: 0s - loss: 1.782 - ETA: 0s - loss: 1.774 - ETA: 0s - loss: 1.764 - 0s 11ms/step - loss: 1.7588\n", - "Epoch 13/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.770 - ETA: 0s - loss: 1.713 - ETA: 0s - loss: 1.678 - ETA: 0s - loss: 1.653 - 0s 11ms/step - loss: 1.6431\n", - "Epoch 14/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.605 - ETA: 0s - loss: 1.584 - ETA: 0s - loss: 1.581 - ETA: 0s - loss: 1.565 - 0s 11ms/step - loss: 1.5557\n", - "Epoch 15/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.502 - ETA: 0s - loss: 1.452 - ETA: 0s - loss: 1.464 - ETA: 0s - loss: 1.453 - 0s 11ms/step - loss: 1.4414\n", - "Epoch 16/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.393 - ETA: 0s - loss: 1.381 - ETA: 0s - loss: 1.365 - ETA: 0s - loss: 1.357 - 0s 11ms/step - loss: 1.3574\n", - "Epoch 17/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.294 - ETA: 0s - loss: 1.304 - ETA: 0s - loss: 1.317 - ETA: 0s - loss: 1.313 - 0s 11ms/step - loss: 1.3041\n", - "Epoch 18/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.292 - ETA: 0s - loss: 1.237 - ETA: 0s - loss: 1.224 - ETA: 0s - loss: 1.223 - 0s 11ms/step - loss: 1.2193\n", - "Epoch 19/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.091 - ETA: 0s - loss: 1.198 - ETA: 0s - loss: 1.191 - ETA: 0s - loss: 1.186 - 0s 11ms/step - loss: 1.1803\n", - "Epoch 20/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.173 - ETA: 0s - loss: 1.145 - ETA: 0s - loss: 1.151 - ETA: 0s - loss: 1.139 - 0s 11ms/step - loss: 1.1333\n", - "Epoch 21/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.169 - ETA: 0s - loss: 1.132 - ETA: 0s - loss: 1.104 - ETA: 0s - loss: 1.103 - 0s 11ms/step - loss: 1.1006\n", - "Epoch 22/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.176 - ETA: 0s - loss: 1.130 - ETA: 0s - loss: 1.122 - ETA: 0s - loss: 1.101 - 0s 11ms/step - loss: 1.0918\n", - "Epoch 23/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.102 - ETA: 0s - loss: 1.072 - ETA: 0s - loss: 1.052 - ETA: 0s - loss: 1.064 - 0s 11ms/step - loss: 1.0621\n", - "Epoch 24/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.100 - ETA: 0s - loss: 1.029 - ETA: 0s - loss: 1.028 - ETA: 0s - loss: 1.029 - 0s 11ms/step - loss: 1.0271\n", - "Epoch 25/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.068 - ETA: 0s - loss: 1.039 - ETA: 0s - loss: 1.037 - ETA: 0s - loss: 1.027 - 0s 11ms/step - loss: 1.0251\n", - "Epoch 26/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.000 - ETA: 0s - loss: 1.007 - ETA: 0s - loss: 1.019 - ETA: 0s - loss: 1.007 - 0s 11ms/step - loss: 1.0177\n", - "Epoch 27/50\n", - "20/20 [==============================] - 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"979:\tlearn: 0.0036918\ttotal: 2.07s\tremaining: 42.2ms\n", - "980:\tlearn: 0.0036856\ttotal: 2.07s\tremaining: 40.1ms\n", - "981:\tlearn: 0.0036792\ttotal: 2.07s\tremaining: 38ms\n", - "982:\tlearn: 0.0036756\ttotal: 2.07s\tremaining: 35.9ms\n", - "983:\tlearn: 0.0036723\ttotal: 2.08s\tremaining: 33.7ms\n", - "984:\tlearn: 0.0036662\ttotal: 2.08s\tremaining: 31.6ms\n", - "985:\tlearn: 0.0036597\ttotal: 2.08s\tremaining: 29.5ms\n", - "986:\tlearn: 0.0036535\ttotal: 2.08s\tremaining: 27.4ms\n", - "987:\tlearn: 0.0036503\ttotal: 2.08s\tremaining: 25.3ms\n", - "988:\tlearn: 0.0036440\ttotal: 2.08s\tremaining: 23.2ms\n", - "989:\tlearn: 0.0036414\ttotal: 2.09s\tremaining: 21.1ms\n", - "990:\tlearn: 0.0036358\ttotal: 2.09s\tremaining: 19ms\n", - "991:\tlearn: 0.0036299\ttotal: 2.09s\tremaining: 16.9ms\n", - "992:\tlearn: 0.0036265\ttotal: 2.09s\tremaining: 14.8ms\n", - "993:\tlearn: 0.0036183\ttotal: 2.09s\tremaining: 12.6ms\n", - "994:\tlearn: 0.0036123\ttotal: 2.1s\tremaining: 10.5ms\n", - "995:\tlearn: 0.0036064\ttotal: 2.1s\tremaining: 8.43ms\n", - "996:\tlearn: 0.0036031\ttotal: 2.1s\tremaining: 6.32ms\n", - "997:\tlearn: 0.0035998\ttotal: 2.1s\tremaining: 4.21ms\n", - "998:\tlearn: 0.0035980\ttotal: 2.1s\tremaining: 2.11ms\n", - "999:\tlearn: 0.0035922\ttotal: 2.11s\tremaining: 0us\n", - "current noise type: None\n", - "{'Samples': 3062, 'Features': 166, 'Anomalies': 97, 'Anomalies Ratio(%)': 3.17}\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\model_selection\\_split.py:1609: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " return floored.astype(np.int)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\model_selection\\_split.py:1609: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " return floored.astype(np.int)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "best param: None\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\pyod\\models\\base.py:413: UserWarning: y should not be presented in unsupervised learning.\n", - " \"y should not be presented in unsupervised learning.\")\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:313: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " elif isinstance(self.max_features, np.float):\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\base.py:158: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " dtype=np.int)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Training size: 2143, No. outliers: 6\n", - "Epoch 1/50\n", - "20/20 [==============================] - ETA: 1s - loss: 3.466 - ETA: 0s - loss: 2.495 - ETA: 0s - loss: 2.310 - 0s 12ms/step - loss: 2.2440\n", - "Epoch 2/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.553 - ETA: 0s - loss: 1.374 - ETA: 0s - loss: 1.251 - ETA: 0s - loss: 1.130 - 0s 10ms/step - loss: 1.0896\n", - "Epoch 3/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.713 - ETA: 0s - loss: 0.659 - ETA: 0s - loss: 0.647 - ETA: 0s - loss: 0.635 - ETA: 0s - loss: 0.629 - 0s 12ms/step - loss: 0.6278\n", - "Epoch 4/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.614 - ETA: 0s - loss: 0.599 - ETA: 0s - loss: 0.590 - ETA: 0s - loss: 0.590 - 0s 11ms/step - loss: 0.5849\n", - "Epoch 5/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.529 - ETA: 0s - loss: 0.553 - ETA: 0s - loss: 0.556 - ETA: 0s - loss: 0.548 - 0s 11ms/step - loss: 0.5462\n", - "Epoch 6/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.519 - ETA: 0s - loss: 0.525 - ETA: 0s - loss: 0.524 - ETA: 0s - loss: 0.519 - 0s 11ms/step - loss: 0.5177\n", - "Epoch 7/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.537 - ETA: 0s - loss: 0.516 - ETA: 0s - loss: 0.518 - ETA: 0s - loss: 0.511 - 0s 11ms/step - loss: 0.5041\n", - "Epoch 8/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.500 - ETA: 0s - loss: 0.489 - ETA: 0s - loss: 0.493 - ETA: 0s - loss: 0.489 - 0s 11ms/step - loss: 0.4926\n", - "Epoch 9/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.492 - ETA: 0s - loss: 0.484 - ETA: 0s - loss: 0.482 - ETA: 0s - loss: 0.490 - ETA: 0s - loss: 0.493 - 0s 11ms/step - loss: 0.4915\n", - "Epoch 10/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.534 - ETA: 0s - loss: 0.482 - ETA: 0s - loss: 0.477 - ETA: 0s - loss: 0.471 - 0s 11ms/step - loss: 0.4672\n", - "Epoch 11/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.456 - ETA: 0s - loss: 0.436 - ETA: 0s - loss: 0.443 - ETA: 0s - loss: 0.444 - 0s 12ms/step - loss: 0.4439\n", - "Epoch 12/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.448 - ETA: 0s - loss: 0.446 - ETA: 0s - loss: 0.443 - ETA: 0s - loss: 0.441 - 0s 12ms/step - loss: 0.4432\n", - "Epoch 13/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.435 - ETA: 0s - loss: 0.440 - ETA: 0s - loss: 0.441 - ETA: 0s - loss: 0.441 - 0s 12ms/step - loss: 0.4383\n", - "Epoch 14/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.432 - ETA: 0s - loss: 0.413 - ETA: 0s - loss: 0.416 - ETA: 0s - 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loss: 0.3870\n", - "Epoch 20/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.407 - ETA: 0s - loss: 0.398 - ETA: 0s - loss: 0.394 - ETA: 0s - loss: 0.383 - 0s 11ms/step - loss: 0.3867\n", - "Epoch 21/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.363 - ETA: 0s - loss: 0.385 - ETA: 0s - loss: 0.388 - ETA: 0s - loss: 0.385 - 0s 11ms/step - loss: 0.3823\n", - "Epoch 22/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.414 - ETA: 0s - loss: 0.369 - ETA: 0s - loss: 0.361 - ETA: 0s - loss: 0.367 - 0s 12ms/step - loss: 0.3701\n", - "Epoch 23/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.417 - ETA: 0s - loss: 0.383 - ETA: 0s - loss: 0.380 - ETA: 0s - loss: 0.380 - 0s 11ms/step - loss: 0.3733\n", - "Epoch 24/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.375 - ETA: 0s - loss: 0.376 - ETA: 0s - loss: 0.370 - ETA: 0s - loss: 0.363 - 0s 12ms/step - loss: 0.3678\n", - "Epoch 25/50\n", - "20/20 [==============================] - 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"Epoch 41/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.378 - ETA: 0s - loss: 0.323 - ETA: 0s - loss: 0.320 - ETA: 0s - loss: 0.318 - 0s 11ms/step - loss: 0.3140\n", - "Epoch 42/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.348 - ETA: 0s - loss: 0.323 - ETA: 0s - loss: 0.310 - ETA: 0s - loss: 0.307 - 0s 11ms/step - loss: 0.3050\n", - "Epoch 43/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.341 - ETA: 0s - loss: 0.320 - ETA: 0s - loss: 0.313 - ETA: 0s - loss: 0.310 - 0s 12ms/step - loss: 0.3071\n", - "Epoch 44/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.352 - ETA: 0s - loss: 0.305 - ETA: 0s - loss: 0.313 - ETA: 0s - loss: 0.310 - 0s 12ms/step - loss: 0.3126\n", - "Epoch 45/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.352 - ETA: 0s - loss: 0.321 - ETA: 0s - loss: 0.310 - ETA: 0s - loss: 0.314 - 0s 11ms/step - loss: 0.3112\n", - "Epoch 46/50\n" - ] - }, - { - "name": "stdout", - 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"995:\tlearn: 0.0001805\ttotal: 11s\tremaining: 44.2ms\n", - "996:\tlearn: 0.0001802\ttotal: 11s\tremaining: 33.1ms\n", - "997:\tlearn: 0.0001800\ttotal: 11s\tremaining: 22.1ms\n", - "998:\tlearn: 0.0001797\ttotal: 11s\tremaining: 11ms\n", - "999:\tlearn: 0.0001795\ttotal: 11s\tremaining: 0us\n", - "current noise type: None\n", - "{'Samples': 5216, 'Features': 64, 'Anomalies': 150, 'Anomalies Ratio(%)': 2.88}\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\model_selection\\_split.py:1609: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " return floored.astype(np.int)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\model_selection\\_split.py:1609: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " return floored.astype(np.int)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "best param: None\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\pyod\\models\\base.py:413: UserWarning: y should not be presented in unsupervised learning.\n", - " \"y should not be presented in unsupervised learning.\")\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:313: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " elif isinstance(self.max_features, np.float):\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\base.py:158: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " dtype=np.int)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Training size: 3651, No. outliers: 10\n", - "Epoch 1/50\n", - "20/20 [==============================] - ETA: 1s - loss: 3.097 - ETA: 0s - loss: 2.591 - 0s 11ms/step - loss: 2.5174\n", - "Epoch 2/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.242 - ETA: 0s - loss: 2.162 - ETA: 0s - loss: 2.110 - ETA: 0s - loss: 2.068 - 0s 10ms/step - loss: 2.0522\n", - "Epoch 3/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.816 - ETA: 0s - loss: 1.810 - ETA: 0s - loss: 1.764 - ETA: 0s - loss: 1.722 - 0s 11ms/step - loss: 1.6936\n", - "Epoch 4/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.564 - ETA: 0s - loss: 1.473 - ETA: 0s - loss: 1.432 - ETA: 0s - loss: 1.382 - 0s 11ms/step - loss: 1.3423\n", - "Epoch 5/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.169 - ETA: 0s - loss: 1.074 - ETA: 0s - loss: 1.052 - ETA: 0s - loss: 1.021 - 0s 11ms/step - loss: 1.0032\n", - "Epoch 6/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.931 - ETA: 0s - loss: 0.918 - ETA: 0s - loss: 0.897 - ETA: 0s - loss: 0.881 - 0s 11ms/step - loss: 0.8730\n", - "Epoch 7/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.854 - ETA: 0s - loss: 0.817 - ETA: 0s - loss: 0.799 - ETA: 0s - loss: 0.788 - 0s 11ms/step - loss: 0.7809\n", - "Epoch 8/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.765 - ETA: 0s - loss: 0.719 - ETA: 0s - loss: 0.710 - ETA: 0s - loss: 0.711 - 0s 11ms/step - loss: 0.7093\n", - "Epoch 9/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.654 - ETA: 0s - loss: 0.685 - ETA: 0s - loss: 0.672 - ETA: 0s - loss: 0.664 - 0s 11ms/step - loss: 0.6630\n", - "Epoch 10/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.703 - ETA: 0s - loss: 0.642 - ETA: 0s - loss: 0.642 - ETA: 0s - loss: 0.635 - 0s 11ms/step - loss: 0.6298\n", - "Epoch 11/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.580 - ETA: 0s - loss: 0.581 - ETA: 0s - loss: 0.586 - ETA: 0s - loss: 0.590 - ETA: 0s - loss: 0.604 - ETA: 0s - loss: 0.603 - 0s 18ms/step - loss: 0.5967\n", - "Epoch 12/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.584 - ETA: 0s - loss: 0.589 - ETA: 0s - loss: 0.577 - ETA: 0s - loss: 0.573 - 0s 11ms/step - loss: 0.5654\n", - "Epoch 13/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.595 - ETA: 0s - loss: 0.573 - ETA: 0s - loss: 0.566 - ETA: 0s - loss: 0.564 - 0s 11ms/step - loss: 0.5599\n", - "Epoch 14/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.555 - ETA: 0s - loss: 0.575 - ETA: 0s - loss: 0.567 - ETA: 0s - loss: 0.555 - 0s 11ms/step - loss: 0.5505\n", - "Epoch 15/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.573 - ETA: 0s - loss: 0.557 - ETA: 0s - loss: 0.535 - ETA: 0s - loss: 0.538 - 0s 11ms/step - loss: 0.5413\n", - "Epoch 16/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.537 - ETA: 0s - loss: 0.512 - ETA: 0s - loss: 0.524 - ETA: 0s - loss: 0.520 - 0s 11ms/step - loss: 0.5209\n", - "Epoch 17/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.499 - ETA: 0s - loss: 0.532 - ETA: 0s - loss: 0.531 - ETA: 0s - loss: 0.523 - 0s 11ms/step - loss: 0.5199\n", - "Epoch 18/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.498 - ETA: 0s - loss: 0.506 - ETA: 0s - loss: 0.515 - ETA: 0s - loss: 0.513 - 0s 11ms/step - loss: 0.5081\n", - "Epoch 19/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.530 - ETA: 0s - loss: 0.506 - ETA: 0s - loss: 0.495 - ETA: 0s - loss: 0.497 - 0s 11ms/step - loss: 0.4946\n", - "Epoch 20/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.487 - ETA: 0s - loss: 0.473 - ETA: 0s - loss: 0.486 - ETA: 0s - loss: 0.485 - 0s 11ms/step - loss: 0.4847\n", - "Epoch 21/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.491 - ETA: 0s - loss: 0.469 - ETA: 0s - loss: 0.466 - ETA: 0s - loss: 0.465 - 0s 11ms/step - loss: 0.4629\n", - "Epoch 22/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.508 - ETA: 0s - loss: 0.472 - ETA: 0s - loss: 0.470 - ETA: 0s - loss: 0.464 - 0s 11ms/step - loss: 0.4660\n", - "Epoch 23/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.462 - ETA: 0s - loss: 0.458 - ETA: 0s - loss: 0.459 - ETA: 0s - loss: 0.461 - 0s 11ms/step - loss: 0.4608\n", - "Epoch 24/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.458 - ETA: 0s - loss: 0.449 - ETA: 0s - loss: 0.442 - ETA: 0s - loss: 0.446 - 0s 11ms/step - loss: 0.4461\n", - "Epoch 25/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.466 - ETA: 0s - loss: 0.446 - ETA: 0s - loss: 0.445 - ETA: 0s - loss: 0.448 - 0s 10ms/step - loss: 0.4454\n", - "Epoch 26/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.433 - ETA: 0s - loss: 0.442 - ETA: 0s - loss: 0.447 - ETA: 0s - loss: 0.440 - 0s 11ms/step - loss: 0.4423\n", - "Epoch 27/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.426 - ETA: 0s - loss: 0.430 - ETA: 0s - loss: 0.432 - ETA: 0s - loss: 0.430 - 0s 10ms/step - loss: 0.4320\n", - "Epoch 28/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.470 - ETA: 0s - loss: 0.451 - ETA: 0s - loss: 0.445 - ETA: 0s - loss: 0.443 - 0s 11ms/step - loss: 0.4399\n", - "Epoch 29/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.405 - ETA: 0s - loss: 0.412 - ETA: 0s - loss: 0.418 - ETA: 0s - loss: 0.423 - 0s 11ms/step - loss: 0.4196\n", - "Epoch 30/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.409 - ETA: 0s - loss: 0.418 - ETA: 0s - loss: 0.423 - ETA: 0s - loss: 0.426 - 0s 11ms/step - loss: 0.4172\n", - "Epoch 31/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.417 - ETA: 0s - loss: 0.423 - ETA: 0s - loss: 0.412 - ETA: 0s - loss: 0.415 - 0s 11ms/step - loss: 0.4168\n", - "Epoch 32/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.386 - ETA: 0s - loss: 0.391 - ETA: 0s - loss: 0.391 - ETA: 0s - loss: 0.392 - 0s 11ms/step - loss: 0.3931\n", - "Epoch 33/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.434 - ETA: 0s - loss: 0.426 - ETA: 0s - loss: 0.420 - ETA: 0s - loss: 0.418 - 0s 11ms/step - loss: 0.4124\n", - "Epoch 34/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.390 - ETA: 0s - loss: 0.386 - ETA: 0s - loss: 0.396 - ETA: 0s - loss: 0.392 - 0s 11ms/step - loss: 0.3946\n", - "Epoch 35/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.399 - ETA: 0s - loss: 0.392 - ETA: 0s - loss: 0.390 - ETA: 0s - loss: 0.390 - 0s 11ms/step - loss: 0.3946\n", - "Epoch 36/50\n", - 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To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " return floored.astype(np.int)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\model_selection\\_split.py:1609: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " return floored.astype(np.int)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "best param: None\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\pyod\\models\\base.py:413: UserWarning: y should not be presented in unsupervised learning.\n", - " \"y should not be presented in unsupervised learning.\")\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:313: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " elif isinstance(self.max_features, np.float):\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\base.py:158: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " dtype=np.int)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Training size: 2580, No. outliers: 4\n", - "Epoch 1/50\n", - "20/20 [==============================] - ETA: 2s - loss: 2.932 - ETA: 0s - loss: 2.600 - ETA: 0s - loss: 2.487 - 0s 13ms/step - loss: 2.4670\n", - "Epoch 2/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.037 - ETA: 0s - loss: 1.852 - ETA: 0s - loss: 1.752 - 0s 9ms/step - loss: 1.6555\n", - "Epoch 3/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.197 - ETA: 0s - loss: 1.243 - ETA: 0s - loss: 1.198 - ETA: 0s - loss: 1.153 - ETA: 0s - loss: 1.103 - 0s 12ms/step - loss: 1.0947\n", - "Epoch 4/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.949 - ETA: 0s - loss: 0.908 - ETA: 0s - loss: 0.893 - ETA: 0s - loss: 0.886 - ETA: 0s - loss: 0.876 - 0s 13ms/step - loss: 0.8696\n", - "Epoch 5/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.801 - ETA: 0s - loss: 0.823 - ETA: 0s - loss: 0.807 - ETA: 0s - loss: 0.811 - ETA: 0s - loss: 0.813 - 0s 13ms/step - loss: 0.8116\n", - "Epoch 6/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.717 - ETA: 0s - loss: 0.784 - ETA: 0s - loss: 0.775 - ETA: 0s - loss: 0.779 - ETA: 0s - loss: 0.778 - 0s 14ms/step - loss: 0.7821\n", - "Epoch 7/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.665 - ETA: 0s - loss: 0.751 - ETA: 0s - loss: 0.759 - ETA: 0s - loss: 0.759 - ETA: 0s - loss: 0.759 - 0s 13ms/step - loss: 0.7686\n", - "Epoch 8/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.604 - ETA: 0s - loss: 0.769 - ETA: 0s - loss: 0.771 - ETA: 0s - loss: 0.756 - ETA: 0s - loss: 0.763 - 0s 13ms/step - loss: 0.7752\n", - "Epoch 9/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.567 - ETA: 0s - loss: 0.730 - ETA: 0s - loss: 0.771 - ETA: 0s - loss: 0.767 - ETA: 0s - loss: 0.770 - 0s 13ms/step - loss: 0.7706\n", - "Epoch 10/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.538 - ETA: 0s - loss: 0.710 - ETA: 0s - loss: 0.732 - ETA: 0s - loss: 0.762 - ETA: 0s - loss: 0.763 - 0s 13ms/step - loss: 0.7614\n", - "Epoch 11/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.561 - ETA: 0s - loss: 0.754 - ETA: 0s - loss: 0.737 - ETA: 0s - loss: 0.743 - ETA: 0s - loss: 0.746 - 0s 13ms/step - loss: 0.7591\n", - "Epoch 12/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.505 - ETA: 0s - loss: 0.710 - ETA: 0s - loss: 0.731 - ETA: 0s - loss: 0.753 - ETA: 0s - loss: 0.740 - 0s 12ms/step - loss: 0.7525\n", - "Epoch 13/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.558 - ETA: 0s - loss: 0.743 - ETA: 0s - loss: 0.738 - ETA: 0s - loss: 0.734 - ETA: 0s - loss: 0.737 - 0s 13ms/step - loss: 0.7387\n", - "Epoch 14/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.535 - ETA: 0s - loss: 0.734 - ETA: 0s - loss: 0.730 - ETA: 0s - loss: 0.735 - ETA: 0s - loss: 0.735 - 0s 12ms/step - loss: 0.7366\n", - "Epoch 15/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.534 - ETA: 0s - loss: 0.721 - ETA: 0s - loss: 0.722 - ETA: 0s - loss: 0.710 - 0s 12ms/step - loss: 0.7207\n", - "Epoch 16/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.512 - ETA: 0s - loss: 0.723 - ETA: 0s - loss: 0.708 - ETA: 0s - loss: 0.728 - 0s 12ms/step - loss: 0.7251\n", - "Epoch 17/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.507 - ETA: 0s - loss: 0.678 - ETA: 0s - loss: 0.698 - ETA: 0s - loss: 0.721 - ETA: 0s - loss: 0.720 - 0s 13ms/step - loss: 0.7186\n", - "Epoch 18/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.497 - ETA: 0s - loss: 0.670 - ETA: 0s - loss: 0.707 - ETA: 0s - loss: 0.706 - ETA: 0s - loss: 0.699 - 0s 13ms/step - loss: 0.7077\n", - "Epoch 19/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.502 - ETA: 0s - loss: 0.679 - ETA: 0s - loss: 0.693 - ETA: 0s - loss: 0.692 - ETA: 0s - loss: 0.706 - 0s 13ms/step - loss: 0.7054\n", - "Epoch 20/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.511 - ETA: 0s - loss: 0.668 - ETA: 0s - loss: 0.680 - ETA: 0s - loss: 0.717 - ETA: 0s - loss: 0.731 - 0s 13ms/step - loss: 0.7499\n", - "Epoch 21/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.523 - ETA: 0s - loss: 0.702 - ETA: 0s - loss: 0.749 - ETA: 0s - loss: 0.749 - ETA: 0s - loss: 0.730 - 0s 12ms/step - loss: 0.7434\n", - "Epoch 22/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.493 - ETA: 0s - loss: 0.730 - ETA: 0s - loss: 0.705 - ETA: 0s - loss: 0.708 - 0s 12ms/step - loss: 0.7232\n", - "Epoch 23/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.480 - ETA: 0s - loss: 0.724 - ETA: 0s - loss: 0.699 - ETA: 0s - loss: 0.717 - 0s 12ms/step - loss: 0.7126\n", - "Epoch 24/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.480 - ETA: 0s - loss: 0.701 - ETA: 0s - loss: 0.693 - ETA: 0s - loss: 0.703 - 0s 12ms/step - loss: 0.7022\n", - "Epoch 25/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.534 - ETA: 0s - loss: 0.660 - ETA: 0s - loss: 0.689 - ETA: 0s - loss: 0.689 - ETA: 0s - loss: 0.692 - 0s 13ms/step - loss: 0.6937\n", - "Epoch 26/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.497 - ETA: 0s - loss: 0.684 - ETA: 0s - loss: 0.664 - ETA: 0s - loss: 0.671 - ETA: 0s - loss: 0.672 - 0s 13ms/step - loss: 0.6810\n", - "Epoch 27/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.529 - ETA: 0s - loss: 0.675 - ETA: 0s - loss: 0.667 - ETA: 0s - loss: 0.673 - ETA: 0s - loss: 0.674 - 0s 12ms/step - loss: 0.6825\n", - "Epoch 28/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.506 - ETA: 0s - loss: 0.681 - ETA: 0s - loss: 0.673 - ETA: 0s - loss: 0.690 - 0s 12ms/step - loss: 0.6861\n", - "Epoch 29/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.507 - ETA: 0s - loss: 0.677 - ETA: 0s - loss: 0.671 - ETA: 0s - loss: 0.660 - 0s 12ms/step - loss: 0.6751\n", - "Epoch 30/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.494 - ETA: 0s - loss: 0.705 - ETA: 0s - loss: 0.685 - ETA: 0s - loss: 0.703 - 0s 12ms/step - loss: 0.7021\n", - "Epoch 31/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.506 - ETA: 0s - loss: 0.640 - ETA: 0s - loss: 0.696 - ETA: 0s - loss: 0.683 - 0s 12ms/step - loss: 0.6986\n", - "Epoch 32/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.487 - ETA: 0s - loss: 0.690 - ETA: 0s - loss: 0.672 - ETA: 0s - loss: 0.676 - 0s 12ms/step - loss: 0.6873\n", - "Epoch 33/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.492 - ETA: 0s - loss: 0.683 - ETA: 0s - loss: 0.667 - ETA: 0s - loss: 0.686 - 0s 13ms/step - loss: 0.6859\n", - "Epoch 34/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.489 - ETA: 0s - loss: 0.675 - ETA: 0s - loss: 0.666 - ETA: 0s - loss: 0.677 - 0s 12ms/step - loss: 0.6757\n", - "Epoch 35/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.478 - ETA: 0s - loss: 0.624 - ETA: 0s - loss: 0.639 - ETA: 0s - loss: 0.664 - ETA: 0s - loss: 0.656 - 0s 13ms/step - loss: 0.6661\n", - "Epoch 36/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.496 - ETA: 0s - loss: 0.630 - ETA: 0s - loss: 0.663 - ETA: 0s - loss: 0.650 - 0s 12ms/step - loss: 0.6606\n", - "Epoch 37/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.466 - ETA: 0s - loss: 0.643 - ETA: 0s - loss: 0.627 - ETA: 0s - loss: 0.630 - 0s 12ms/step - loss: 0.6428\n", - "Epoch 38/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.486 - ETA: 0s - loss: 0.648 - ETA: 0s - loss: 0.633 - ETA: 0s - loss: 0.633 - ETA: 0s - loss: 0.633 - 0s 13ms/step - loss: 0.6430\n", - "Epoch 39/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.484 - ETA: 0s - loss: 0.613 - ETA: 0s - loss: 0.649 - ETA: 0s - loss: 0.638 - ETA: 0s - loss: 0.629 - 0s 14ms/step - loss: 0.6306\n", - "Epoch 40/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.458 - ETA: 0s - loss: 0.601 - ETA: 0s - loss: 0.595 - ETA: 0s - loss: 0.597 - ETA: 0s - loss: 0.608 - ETA: 0s - loss: 0.598 - 0s 16ms/step - loss: 0.6058\n", - "Epoch 41/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.478 - ETA: 0s - loss: 0.593 - ETA: 0s - loss: 0.654 - ETA: 0s - loss: 0.656 - ETA: 0s - loss: 0.651 - ETA: 0s - loss: 0.640 - 0s 19ms/step - loss: 0.6483\n", - "Epoch 42/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.463 - ETA: 0s - loss: 0.602 - ETA: 0s - loss: 0.613 - ETA: 0s - loss: 0.613 - ETA: 0s - loss: 0.614 - 0s 13ms/step - loss: 0.6238\n", - "Epoch 43/50\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "20/20 [==============================] - ETA: 0s - loss: 0.461 - ETA: 0s - loss: 0.584 - ETA: 0s - loss: 0.596 - ETA: 0s - loss: 0.605 - ETA: 0s - loss: 0.605 - 0s 13ms/step - loss: 0.6131\n", - "Epoch 44/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.460 - ETA: 0s - loss: 0.571 - ETA: 0s - loss: 0.588 - ETA: 0s - loss: 0.594 - ETA: 0s - loss: 0.592 - 0s 14ms/step - loss: 0.6002\n", - "Epoch 45/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.469 - ETA: 0s - loss: 0.576 - ETA: 0s - loss: 0.579 - ETA: 0s - loss: 0.582 - ETA: 0s - loss: 0.581 - 0s 14ms/step - loss: 0.5910\n", - "Epoch 46/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.465 - ETA: 0s - loss: 0.562 - ETA: 0s - loss: 0.579 - ETA: 0s - loss: 0.580 - ETA: 0s - loss: 0.583 - 0s 13ms/step - loss: 0.5913\n", - "Epoch 47/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.456 - ETA: 0s - loss: 0.549 - ETA: 0s - loss: 0.570 - ETA: 0s - loss: 0.577 - ETA: 0s - loss: 0.591 - ETA: 0s - loss: 0.583 - 0s 16ms/step - loss: 0.5894\n", - "Epoch 48/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.433 - ETA: 0s - loss: 0.597 - ETA: 0s - loss: 0.578 - ETA: 0s - loss: 0.592 - ETA: 0s - loss: 0.585 - ETA: 0s - loss: 0.592 - ETA: 0s - loss: 0.583 - 0s 19ms/step - loss: 0.5897\n", - "Epoch 49/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.455 - ETA: 0s - loss: 0.585 - ETA: 0s - loss: 0.625 - ETA: 0s - loss: 0.608 - ETA: 0s - loss: 0.612 - ETA: 0s - loss: 0.614 - 0s 17ms/step - loss: 0.6234\n", - "Epoch 50/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.424 - ETA: 0s - loss: 0.580 - ETA: 0s - loss: 0.612 - ETA: 0s - loss: 0.598 - ETA: 0s - loss: 0.608 - ETA: 0s - loss: 0.599 - 0s 21ms/step - loss: 0.6080\n", - "Learning rate set to 0.015442\n", - "0:\tlearn: 0.6519800\ttotal: 32.9ms\tremaining: 32.8s\n", - "1:\tlearn: 0.6141763\ttotal: 61.2ms\tremaining: 30.5s\n", - 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To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " return floored.astype(np.int)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\model_selection\\_split.py:1609: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " return floored.astype(np.int)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "best param: None\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\pyod\\models\\base.py:413: UserWarning: y should not be presented in unsupervised learning.\n", - " \"y should not be presented in unsupervised learning.\")\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:313: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " elif isinstance(self.max_features, np.float):\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\base.py:158: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " dtype=np.int)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\ensemble\\bagging.py:42: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " random_state=random_state)\n", - "D:\\Anaconda37\\lib\\site-packages\\sklearn\\utils\\__init__.py:563: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " mask = np.zeros(mask_length, dtype=np.bool)\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Training size: 1019, No. outliers: 3\n", - "Epoch 1/50\n", - "20/20 [==============================] - ETA: 2s - loss: 2.828 - ETA: 0s - loss: 2.629 - 0s 13ms/step - loss: 2.6081\n", - "Epoch 2/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.510 - ETA: 0s - loss: 2.487 - ETA: 0s - loss: 2.474 - 0s 8ms/step - loss: 2.4632\n", - "Epoch 3/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.421 - ETA: 0s - loss: 2.408 - ETA: 0s - loss: 2.398 - ETA: 0s - loss: 2.389 - 0s 11ms/step - loss: 2.3817\n", - "Epoch 4/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.340 - ETA: 0s - loss: 2.334 - ETA: 0s - loss: 2.326 - ETA: 0s - loss: 2.316 - 0s 11ms/step - loss: 2.3094\n", - "Epoch 5/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.270 - ETA: 0s - loss: 2.256 - ETA: 0s - loss: 2.244 - ETA: 0s - loss: 2.231 - 0s 11ms/step - loss: 2.2251\n", - "Epoch 6/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.200 - ETA: 0s - loss: 2.176 - ETA: 0s - loss: 2.161 - ETA: 0s - loss: 2.150 - 0s 11ms/step - loss: 2.1415\n", - "Epoch 7/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.100 - ETA: 0s - loss: 2.090 - ETA: 0s - loss: 2.079 - ETA: 0s - loss: 2.068 - 0s 11ms/step - loss: 2.0579\n", - "Epoch 8/50\n", - "20/20 [==============================] - ETA: 0s - loss: 2.009 - ETA: 0s - loss: 1.994 - ETA: 0s - loss: 1.984 - ETA: 0s - loss: 1.971 - 0s 12ms/step - loss: 1.9658\n", - "Epoch 9/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.938 - ETA: 0s - loss: 1.906 - ETA: 0s - loss: 1.890 - ETA: 0s - loss: 1.881 - 0s 12ms/step - loss: 1.8710\n", - "Epoch 10/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.845 - ETA: 0s - loss: 1.812 - ETA: 0s - loss: 1.807 - ETA: 0s - loss: 1.798 - ETA: 0s - loss: 1.794 - ETA: 0s - loss: 1.786 - ETA: 0s - loss: 1.779 - 0s 20ms/step - loss: 1.7730\n", - "Epoch 11/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.724 - ETA: 0s - loss: 1.699 - ETA: 0s - loss: 1.699 - ETA: 0s - loss: 1.690 - ETA: 0s - loss: 1.682 - ETA: 0s - loss: 1.677 - 0s 17ms/step - loss: 1.6733\n", - "Epoch 12/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.583 - ETA: 0s - loss: 1.602 - ETA: 0s - loss: 1.579 - ETA: 0s - loss: 1.572 - ETA: 0s - loss: 1.561 - 0s 14ms/step - loss: 1.5605\n", - "Epoch 13/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.484 - ETA: 0s - loss: 1.482 - ETA: 0s - loss: 1.475 - ETA: 0s - loss: 1.461 - ETA: 0s - loss: 1.459 - ETA: 0s - loss: 1.463 - 0s 20ms/step - loss: 1.4582\n", - "Epoch 14/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.357 - ETA: 0s - loss: 1.369 - ETA: 0s - loss: 1.375 - ETA: 0s - loss: 1.369 - ETA: 0s - loss: 1.362 - ETA: 0s - loss: 1.359 - 0s 17ms/step - loss: 1.3433\n", - "Epoch 15/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.265 - ETA: 0s - loss: 1.249 - ETA: 0s - loss: 1.236 - ETA: 0s - loss: 1.228 - 0s 12ms/step - loss: 1.2160\n", - "Epoch 16/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.190 - ETA: 0s - loss: 1.171 - ETA: 0s - loss: 1.166 - ETA: 0s - loss: 1.163 - ETA: 0s - loss: 1.158 - 0s 13ms/step - loss: 1.1535\n", - "Epoch 17/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.083 - ETA: 0s - loss: 1.090 - ETA: 0s - loss: 1.102 - ETA: 0s - loss: 1.099 - ETA: 0s - loss: 1.089 - 0s 15ms/step - loss: 1.0786\n", - "Epoch 18/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.103 - ETA: 0s - loss: 1.081 - ETA: 0s - loss: 1.055 - ETA: 0s - loss: 1.053 - ETA: 0s - loss: 1.050 - 0s 14ms/step - loss: 1.0395\n", - "Epoch 19/50\n", - "20/20 [==============================] - ETA: 0s - loss: 1.006 - ETA: 0s - loss: 1.005 - ETA: 0s - loss: 1.000 - ETA: 0s - loss: 0.992 - ETA: 0s - loss: 0.986 - 0s 14ms/step - loss: 0.9867\n", - "Epoch 20/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.957 - ETA: 0s - loss: 0.959 - ETA: 0s - loss: 0.959 - ETA: 0s - loss: 0.952 - ETA: 0s - loss: 0.944 - 0s 13ms/step - loss: 0.9419\n", - "Epoch 21/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.874 - ETA: 0s - loss: 0.916 - ETA: 0s - loss: 0.923 - ETA: 0s - loss: 0.921 - ETA: 0s - loss: 0.922 - 0s 13ms/step - loss: 0.9241\n", - "Epoch 22/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.892 - ETA: 0s - loss: 0.903 - ETA: 0s - loss: 0.896 - ETA: 0s - loss: 0.894 - ETA: 0s - loss: 0.892 - 0s 14ms/step - loss: 0.8910\n", - "Epoch 23/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.876 - ETA: 0s - loss: 0.870 - ETA: 0s - loss: 0.875 - ETA: 0s - loss: 0.870 - ETA: 0s - loss: 0.863 - ETA: 0s - loss: 0.861 - 0s 15ms/step - loss: 0.8591\n", - "Epoch 24/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.888 - ETA: 0s - loss: 0.873 - ETA: 0s - loss: 0.861 - ETA: 0s - loss: 0.859 - ETA: 0s - loss: 0.861 - ETA: 0s - loss: 0.851 - 0s 15ms/step - loss: 0.8507\n", - "Epoch 25/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.820 - ETA: 0s - loss: 0.842 - ETA: 0s - loss: 0.835 - ETA: 0s - loss: 0.827 - ETA: 0s - loss: 0.824 - 0s 13ms/step - loss: 0.8253\n", - "Epoch 26/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.828 - ETA: 0s - loss: 0.831 - ETA: 0s - loss: 0.818 - ETA: 0s - loss: 0.807 - ETA: 0s - loss: 0.806 - 0s 13ms/step - loss: 0.8049\n", - "Epoch 27/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.795 - ETA: 0s - loss: 0.777 - ETA: 0s - loss: 0.786 - ETA: 0s - loss: 0.781 - ETA: 0s - loss: 0.782 - 0s 13ms/step - loss: 0.7815\n", - "Epoch 28/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.793 - ETA: 0s - loss: 0.774 - ETA: 0s - loss: 0.770 - ETA: 0s - loss: 0.771 - ETA: 0s - loss: 0.772 - 0s 13ms/step - loss: 0.7711\n", - "Epoch 29/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.738 - ETA: 0s - loss: 0.750 - ETA: 0s - loss: 0.750 - ETA: 0s - loss: 0.750 - ETA: 0s - loss: 0.746 - 0s 14ms/step - loss: 0.7449\n", - "Epoch 30/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.716 - ETA: 0s - loss: 0.731 - ETA: 0s - loss: 0.734 - ETA: 0s - loss: 0.724 - ETA: 0s - loss: 0.721 - 0s 13ms/step - loss: 0.7191\n", - "Epoch 31/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.701 - ETA: 0s - loss: 0.703 - ETA: 0s - loss: 0.699 - ETA: 0s - loss: 0.700 - ETA: 0s - loss: 0.700 - 0s 13ms/step - loss: 0.7004\n", - "Epoch 32/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.713 - ETA: 0s - loss: 0.705 - ETA: 0s - loss: 0.696 - ETA: 0s - loss: 0.696 - 0s 12ms/step - loss: 0.7023\n", - "Epoch 33/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.670 - ETA: 0s - loss: 0.696 - ETA: 0s - loss: 0.699 - ETA: 0s - loss: 0.699 - ETA: 0s - loss: 0.693 - 0s 12ms/step - loss: 0.6922\n", - "Epoch 34/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.640 - ETA: 0s - loss: 0.654 - ETA: 0s - loss: 0.661 - ETA: 0s - loss: 0.665 - ETA: 0s - loss: 0.672 - ETA: 0s - loss: 0.675 - ETA: 0s - loss: 0.676 - ETA: 0s - loss: 0.675 - ETA: 0s - loss: 0.675 - 0s 25ms/step - loss: 0.6762\n", - "Epoch 35/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.677 - ETA: 0s - loss: 0.691 - ETA: 0s - loss: 0.683 - ETA: 0s - loss: 0.682 - ETA: 0s - loss: 0.678 - ETA: 0s - loss: 0.674 - ETA: 0s - loss: 0.667 - 0s 22ms/step - loss: 0.6694\n", - "Epoch 36/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.662 - ETA: 0s - loss: 0.670 - ETA: 0s - loss: 0.670 - ETA: 0s - loss: 0.665 - ETA: 0s - loss: 0.665 - ETA: 0s - loss: 0.664 - ETA: 0s - loss: 0.664 - ETA: 0s - loss: 0.666 - 0s 24ms/step - loss: 0.6669\n", - "Epoch 37/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.684 - ETA: 0s - loss: 0.675 - ETA: 0s - loss: 0.669 - ETA: 0s - loss: 0.668 - ETA: 0s - loss: 0.669 - ETA: 0s - loss: 0.663 - ETA: 0s - loss: 0.663 - 0s 23ms/step - loss: 0.6628\n", - "Epoch 38/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.685 - ETA: 0s - loss: 0.658 - ETA: 0s - loss: 0.671 - ETA: 0s - loss: 0.674 - ETA: 0s - loss: 0.668 - ETA: 0s - loss: 0.668 - ETA: 0s - loss: 0.672 - ETA: 0s - loss: 0.676 - 0s 23ms/step - loss: 0.6756\n", - "Epoch 39/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.685 - ETA: 0s - loss: 0.671 - ETA: 0s - loss: 0.660 - ETA: 0s - loss: 0.673 - ETA: 0s - loss: 0.672 - ETA: 0s - loss: 0.669 - ETA: 0s - loss: 0.670 - ETA: 0s - loss: 0.665 - 0s 24ms/step - loss: 0.6644\n", - "Epoch 40/50\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "20/20 [==============================] - ETA: 0s - loss: 0.652 - ETA: 0s - loss: 0.648 - ETA: 0s - loss: 0.653 - ETA: 0s - loss: 0.648 - ETA: 0s - loss: 0.647 - ETA: 0s - loss: 0.650 - ETA: 0s - loss: 0.649 - 0s 21ms/step - loss: 0.6493\n", - "Epoch 41/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.711 - ETA: 0s - loss: 0.673 - ETA: 0s - loss: 0.657 - ETA: 0s - loss: 0.655 - ETA: 0s - loss: 0.655 - ETA: 0s - loss: 0.660 - ETA: 0s - loss: 0.654 - ETA: 0s - loss: 0.654 - 0s 24ms/step - loss: 0.6538\n", - "Epoch 42/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.648 - ETA: 0s - loss: 0.648 - ETA: 0s - loss: 0.650 - ETA: 0s - loss: 0.643 - ETA: 0s - loss: 0.641 - 0s 15ms/step - loss: 0.6408\n", - "Epoch 43/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.607 - ETA: 0s - loss: 0.629 - ETA: 0s - loss: 0.641 - ETA: 0s - loss: 0.637 - ETA: 0s - loss: 0.644 - 0s 13ms/step - loss: 0.6461\n", - "Epoch 44/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.708 - ETA: 0s - loss: 0.662 - ETA: 0s - loss: 0.658 - ETA: 0s - loss: 0.645 - ETA: 0s - loss: 0.642 - 0s 12ms/step - loss: 0.6419\n", - "Epoch 45/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.628 - ETA: 0s - loss: 0.617 - ETA: 0s - loss: 0.628 - ETA: 0s - loss: 0.633 - 0s 12ms/step - loss: 0.6308\n", - "Epoch 46/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.613 - ETA: 0s - loss: 0.632 - ETA: 0s - loss: 0.630 - ETA: 0s - loss: 0.627 - ETA: 0s - loss: 0.628 - 0s 14ms/step - loss: 0.6299\n", - "Epoch 47/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.642 - ETA: 0s - loss: 0.628 - ETA: 0s - loss: 0.630 - ETA: 0s - loss: 0.636 - ETA: 0s - loss: 0.638 - 0s 14ms/step - loss: 0.6397\n", - "Epoch 48/50\n", - "20/20 [==============================] - ETA: 0s - loss: 0.630 - ETA: 0s - loss: 0.625 - ETA: 0s - loss: 0.629 - ETA: 0s - loss: 0.629 - ETA: 0s - loss: 0.630 - 0s 13ms/step - loss: 0.6277\n", - "Epoch 49/50\n", - "20/20 [==============================] - 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" '''\n", - " la: ratio of labeled anomalies, from 0.0 to 1.0\n", - " realistic_synthetic_mode: types of anomalies, can be local, global, dependency or cluster\n", - " noise_type: data noises for testing model robustness, can be duplicated_anomalies, irrelevant_features or label_contamination\n", - " '''\n", - " \n", - " # import the dataset\n", - " datagenerator.dataset = dataset # specify the dataset name\n", - " data = datagenerator.generator(la=0.1, realistic_synthetic_mode=None, noise_type=None)\n", - " \n", - " for name, clf in model_dict.items():\n", - " # model initialization\n", - " if name == 'DevNet':\n", - " clf = clf(seed=seed, model_name=name, save_suffix='test') # DevNet use early stopping to save the model parameter\n", - " else:\n", - " clf = clf(seed=seed, model_name=name)\n", - " \n", - " # training, for unsupervised models the y label should be discarded\n", - " clf = clf.fit(X_train=data['X_train'], y_train=data['y_train'])\n", - " \n", - " # prediction\n", - " score = clf.predict_score(data['X_test'])\n", - "\n", - " # evaluation\n", - " result = utils.metric(y_true=data['y_test'], y_score=score)\n", - " \n", - " # save results\n", - " df_AUCROC.loc[dataset, name] = result['aucroc']\n", - " df_AUCPR.loc[dataset, name] = result['aucpr']" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " IForest DevNet CatB\n", - "cardio 0.617388 0.946268 0.909086\n", - "musk 0.997662 1.0 1.0\n", - "optdigits 0.061997 1.0 0.895495\n", - "speech 0.01541 0.084266 0.022035\n", - "vowels 0.250843 0.611893 0.533293" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_AUCPR" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.3" - }, - "toc": { - "base_numbering": 1, - "nav_menu": {}, - "number_sections": true, - "sideBar": true, - "skip_h1_title": false, - "title_cell": "Table of Contents", - "title_sidebar": "Contents", - "toc_cell": false, - "toc_position": {}, - "toc_section_display": true, - "toc_window_display": false - }, - "varInspector": { - "cols": { - "lenName": 16, - "lenType": 16, - "lenVar": 40 - }, - "kernels_config": { - "python": { - "delete_cmd_postfix": "", - "delete_cmd_prefix": "del ", - "library": "var_list.py", - "varRefreshCmd": "print(var_dic_list())" - }, - "r": { - "delete_cmd_postfix": ") ", - "delete_cmd_prefix": "rm(", - "library": "var_list.r", - "varRefreshCmd": "cat(var_dic_list()) " - } - }, - "types_to_exclude": [ - "module", - "function", - "builtin_function_or_method", - "instance", - "_Feature" - ], - "window_display": false - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/README.md b/README.md index 1a79637..818d5e7 100644 --- a/README.md +++ b/README.md @@ -62,14 +62,16 @@ We envision three primary usages of ADBench: ### Dependency The experiment code is written in Python 3 and built on a number of Python packages: -- catboost (required for running catboost) -- copulas (required for running anomaly type analysis) - scikit-learn==0.20.3 - pyod==0.9.8 - Keras==2.3.0 - tensorflow==2.8.0 - torch==1.9.0 - rtdl==0.0.13 +- lightgbm +- xgboost +- catboost +- copulas ### Quickly implement ADBench for benchmarking AD algorithms. We present the following example for quickly implementing ADBench in _three different Angles_ illustrated @@ -124,7 +126,7 @@ data_generator = DataGenerator(dataset='1_abalone.npz') data = data_generator.generator(noise_type='duplicated_anomalies') ``` -- We also provide an example for quickly implementing ADBench, as shown in [notebook](run_customized.ipynb). +- We also provide an example for quickly implementing ADBench, as shown in [notebook](demo.ipynb). - For **complete results** of ADBench, please refer to our [paper](https://arxiv.org/abs/2206.09426). - For **reproduce** experiment results of ADBench, please run the [code](run.py). diff --git a/run_customized.ipynb b/run_customized.ipynb deleted file mode 100644 index a427e02..0000000 --- a/run_customized.ipynb +++ /dev/null @@ -1,5271 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "pycharm": { - "name": "#%% md\n" - } - }, - "source": [ - "# Run the customized algorithms by ADBench\n", - "- Here we provide an example for testing 3 AD algorithms on 4 datasets, and any customized algorithm could be evaluated in ADBench.\n", - "- For reproducing the complete experiment results in ADBench, please run the code in the run.py file." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "import pandas as pd\n", - "\n", - "import warnings\n", - "warnings.filterwarnings(\"ignore\")\n", - "\n", - "# import the necessary package\n", - "from data_generator import DataGenerator\n", - "from myutils import Utils\n", - "\n", - "datagenerator = DataGenerator()\n", - "utils = Utils()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "pycharm": { - "name": "#%% md\n" - } - }, - "source": [ - "- 3 algorithms: unsupervised IForest, semi-supervised DevNet and fully-supervised CatB\n", - "- 4 datasets: cardio, musk, optdigits and vowels" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [], - "source": [ - "from baseline.PyOD import PYOD\n", - "from baseline.DevNet.run import DevNet\n", - "from baseline.Supervised import supervised\n", - "\n", - "# dataset and model list / dict\n", - "dataset_list = ['6_cardio', '25_musk', '26_optdigits', '37_speech', '41_vowels']\n", - "# model_dict = {'IForest': PYOD, 'DevNet': DevNet, 'CatB': supervised}\n", - "model_dict = {'IForest': PYOD, 'CatB': supervised}\n", - "\n", - "# save the results\n", - "df_AUCROC = pd.DataFrame(data=None, index=dataset_list, columns = model_dict.keys())\n", - "df_AUCPR = pd.DataFrame(data=None, index=dataset_list, columns = model_dict.keys())" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true, - "pycharm": { - "name": "#%%\n" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "current noise type: None\n", - "{'Samples': 1831, 'Features': 21, 'Anomalies': 176, 'Anomalies Ratio(%)': 9.61}\n", - "best param: None\n", - "Learning rate set to 0.011451\n", - "0:\tlearn: 0.6660661\ttotal: 144ms\tremaining: 2m 23s\n", - "1:\tlearn: 0.6366402\ttotal: 145ms\tremaining: 1m 12s\n", - 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"best param: None\n", - "Learning rate set to 0.01791\n", - "0:\tlearn: 0.6461960\ttotal: 2.04ms\tremaining: 2.04s\n", - "1:\tlearn: 0.5951044\ttotal: 4.08ms\tremaining: 2.03s\n", - "2:\tlearn: 0.5548989\ttotal: 5.99ms\tremaining: 1.99s\n", - "3:\tlearn: 0.5162108\ttotal: 7.94ms\tremaining: 1.98s\n", - "4:\tlearn: 0.4803226\ttotal: 9.87ms\tremaining: 1.96s\n", - "5:\tlearn: 0.4444905\ttotal: 11.8ms\tremaining: 1.95s\n", - "6:\tlearn: 0.4134824\ttotal: 13.6ms\tremaining: 1.93s\n", - "7:\tlearn: 0.3821685\ttotal: 15.5ms\tremaining: 1.92s\n", - "8:\tlearn: 0.3554561\ttotal: 17.4ms\tremaining: 1.92s\n", - "9:\tlearn: 0.3288217\ttotal: 19.3ms\tremaining: 1.91s\n", - "10:\tlearn: 0.3058881\ttotal: 21.2ms\tremaining: 1.91s\n", - "11:\tlearn: 0.2847490\ttotal: 23ms\tremaining: 1.9s\n", - "12:\tlearn: 0.2655436\ttotal: 24.9ms\tremaining: 1.89s\n", - "13:\tlearn: 0.2448813\ttotal: 26.8ms\tremaining: 1.89s\n", - "14:\tlearn: 0.2296891\ttotal: 28.9ms\tremaining: 1.9s\n", - "15:\tlearn: 0.2146703\ttotal: 30.9ms\tremaining: 1.9s\n", - 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"999:\tlearn: 0.0001934\ttotal: 14.8s\tremaining: 0us\n", - "current noise type: None\n", - "{'Samples': 1456, 'Features': 12, 'Anomalies': 50, 'Anomalies Ratio(%)': 3.43}\n", - "best param: None\n", - "Learning rate set to 0.010385\n", - "0:\tlearn: 0.6682491\ttotal: 1.96ms\tremaining: 1.96s\n", - "1:\tlearn: 0.6424510\ttotal: 3.42ms\tremaining: 1.71s\n", - "2:\tlearn: 0.6195386\ttotal: 6.01ms\tremaining: 2s\n", - "3:\tlearn: 0.5978639\ttotal: 7.69ms\tremaining: 1.91s\n", - "4:\tlearn: 0.5745751\ttotal: 9.36ms\tremaining: 1.86s\n", - "5:\tlearn: 0.5547097\ttotal: 10.8ms\tremaining: 1.78s\n", - "6:\tlearn: 0.5335425\ttotal: 12.1ms\tremaining: 1.72s\n", - "7:\tlearn: 0.5151326\ttotal: 13.7ms\tremaining: 1.69s\n", - "8:\tlearn: 0.4990550\ttotal: 15.1ms\tremaining: 1.67s\n", - "9:\tlearn: 0.4808300\ttotal: 16.6ms\tremaining: 1.65s\n", - "10:\tlearn: 0.4639267\ttotal: 18.1ms\tremaining: 1.63s\n", - "11:\tlearn: 0.4471963\ttotal: 19.5ms\tremaining: 1.6s\n", - "12:\tlearn: 0.4327069\ttotal: 20.9ms\tremaining: 1.59s\n", - 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