config.yaml 1.9 KB
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# 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.

# global settings 
debug: false
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workspace: "paddlerec.models.rank.linear_regression"
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dataset:
  - name: dataset_train
    type: QueueDataset
    batch_size: 1
    data_path: "{workspace}/data/train_data/"
    sparse_slots: "userid gender age occupation movieid title genres"
    dense_slots: "label:1"
  - name: dataset_infer
    type: QueueDataset
    batch_size: 1
    data_path: "{workspace}/data/test_data/"
    sparse_slots: "userid gender age occupation movieid title genres"
    dense_slots: "label:1"

hyper_parameters:
    optimizer:
        class: SGD
        learning_rate: 0.0001
    sparse_feature_number: 1000000
    sparse_feature_dim: 1
    reg: 0.001


mode: train_runner
# if infer, change mode to "infer_runner" and change phase to "infer_phase"

runner:
  - name: train_runner
    class: train
    epochs: 1
    device: cpu
    init_model_path: ""
    save_checkpoint_interval: 1
    save_inference_interval: 1
    save_checkpoint_path: "increment"
    save_inference_path: "inference"
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    print_interval: 1
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  - name: infer_runner
    class: infer
    device: cpu
    init_model_path: "increment/0"
    print_interval: 1
    

phase:
- name: phase1
  model: "{workspace}/model.py"
  dataset_name: dataset_train
  thread_num: 12
#- name: infer_phase
#  model: "{workspace}/model.py"
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#  dataset_name: dataset_infer
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#  thread_num: 1