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examples/estimator/estimator_config_dnn.yaml

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+experiment:
+  name: estimator_example
+  observer_type: file_storage
+  mode: train
+
+model:
+    module_path: qlib.contrib.model.pytorch_nn
+    class: DNNModelPytorch
+    args:
+        loss: mse
+        input_dim: 158
+        output_dim: 1
+        lr: 0.002
+        lr_decay: 0.96
+        lr_decay_steps: 100
+        optimizer: 'adam'
+        max_steps: 8000
+        batch_size: 4096
+        GPU: '0'
+data:
+  class: QLibDataHandlerClose
+  args:
+    dropna_label: True
+    dropna_feature: True
+  filter:
+    market: csi300
+trainer:
+  class: StaticTrainer
+  args:
+    train_start_date: 2007-01-01
+    train_end_date: 2014-12-31
+    validate_start_date: 2015-01-01
+    validate_end_date: 2016-12-31
+    test_start_date: 2017-01-01
+    test_end_date: 2020-08-01
+strategy:
+  class: TopkDropoutStrategy
+  args:
+    topk: 50
+    n_drop: 5
+backtest:
+  normal_backtest_args:
+    verbose: False
+    limit_threshold: 0.095
+    account: 100000000
+    benchmark: SH000300
+    deal_price: close
+    open_cost: 0.0005
+    close_cost: 0.0015
+    min_cost: 5
+  long_short_backtest_args:
+    topk: 50
+
+qlib_data:
+  # when testing, please modify the following parameters according to the specific environment
+  provider_uri: "~/.qlib/qlib_data/cn_data"
+  region: "cn"