config.yaml

# Copyright (c) 2022 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.

# global settings 

runner:
  train_data_dir: "data/trainlite"
  train_reader_path: "reader" # importlib format
  use_gpu: False
  use_auc: True
  train_batch_size: 10
  epochs: 1
  print_interval: 10
  # model_init_path: "output_model_all_fgcnn/1" # init model
  model_save_path: "output_model_sample_fgcnn"
  test_data_dir: "data/testlite"
  infer_reader_path: "reader" # importlib format
  infer_batch_size: 10
  infer_load_path: "output_model_sample_fgcnn"
  infer_start_epoch: 0
  infer_end_epoch: 1

# hyper parameters of user-defined network
hyper_parameters:
  # optimizer config
  optimizer:
    class: Adam
    learning_rate: 0.001
  sparse_inputs_slots: 26
  sparse_feature_size: 1000000
  feature_name: ['I1','I2','I3','I4','I5','I6','I7','I8','I9','I10','I11','I12','I13','C1','C2','C3','C4','C5','C6','C7','C8','C9','C10','C11','C12','C13','C14','C15','C16','C17', 'C18','C19', 'C20', 'C21', 'C22','C23', 'C24', 'C25', 'C26']
  dense_inputs_slots: 13
  feature_dim: 5
  conv_kernel_width: [ 3, 3, 3]
  conv_filters: [10, 12, 14]
  new_maps: [3, 3, 3]
  pooling_width: [2, 2, 2]
  stride: [1, 1]
  dnn_hidden_units: [3, 3, 3]
  dnn_dropout: 0.0