online.yaml

# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

hyper_parameters:
  optimizer:
    class: Adam
    learning_rate: 0.0001
    adam_lazy_mode: True
  sparse_inputs_slots: 27
  sparse_feature_number: 1000001
  sparse_feature_dim: 10
  dense_input_dim: 13
  fc_sizes: [400, 400, 400]

runner:
  train_data_dir: ["data/sample_data/train/"]
  days: "{20191225..20191227}"
  pass_per_day: 24

  train_batch_size: 12
  train_thread_num: 16
  geo_step: 400
  sync_mode: "async"  # sync / async /geo / heter

  pipe_command: "python benchmark_reader.py"
  print_interval: 100

  use_gpu: 0

  model_path: "static_model.py"
  dataset_debug: False
  model_save_path: "model"

  # knock-in and knock-out
  # create_num_threshold: 1      # knock-in
  # max_keep_days: 60            # knock-out