galileo_framework_tf_python_supervised_Supervised.3.md

date	section	title
2021年 九月 1日 星期三	3	galileo.framework.tf.python.supervised.Supervised

NAME

galileo.framework.tf.python.supervised.Supervised - supervised model

SYNOPSIS

\

继承自 Model , 以及 galileo.framework.python.base_supervised.BaseSupervised .

Public 成员函数

def __init__ (self, loss_name=__default_loss, metric_names='categorical_accuracy', dense_input_dim=None, label_dim=None, num_classes=None, is_add_metrics=True, *args, **kwargs)\

def encoder (self, inputs)
supervised feature encoder

def dense_encoder (self, inputs)
a dense layer after encoder

def loss_and_metrics (self, labels, logits)\

def convert_ids_tensor (self, inputs)
convert ids tensor

def convert_features_tensor (self, inputs)
convert features tensor

def convert_labels_tensor (self, inputs)
convert labels tensor

def call (self, inputs)\

def get_config (self)\

Public 属性

loss_name\

loss_obj\

metric_names\

is_add_metrics\

metric_objs\

dense_layer\

dense_input_dim\

label_dim\

详细描述

supervised model

Methods that the subclass must implement: encoder

args:

参数

loss_name loss name
metric_names metric names, default is categorical_accuracy
dense_input_dim input dim for dense layer
label_dim label dim
num_classes num of class
is_add_metrics add loss and metrics layers for keras

成员函数说明

def galileo.framework.tf.python.supervised.Supervised.loss_and_metrics ( self, labels, logits)

返回

a dict of loss and metrics or y_true and y_pred

重载 galileo.framework.python.base_supervised.BaseSupervised .

作者

由 Doyxgen 通过分析 Galileo 的 源代码自动生成.