# 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.

train:
  epochs: 10
  engine: single
  workspace: "paddlerec.models.rank.dnn"

  trainer:
    # for cluster training
    strategy: "async"

  reader:
    batch_size: 2
    train_data_path: "{workspace}/data/slot_train_data"
    reader_debug_mode: False
    sparse_slots: "click 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26"
    dense_slots: "dense_var:13"

  model:
    models: "{workspace}/model.py"
    hyper_parameters:
      sparse_inputs_slots: 27
      sparse_feature_number: 1000001
      sparse_feature_dim: 9
      dense_input_dim: 13
      fc_sizes: [512, 256, 128, 32]
      learning_rate: 0.001
      optimizer: adam

  save:
    increment:
      dirname: "increment"
      epoch_interval: 2
      save_last: True
    inference:
      dirname: "inference"
      epoch_interval: 4
      save_last: True