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- Model:
- batch_size: 64
- dropout_rate: 0.2
- epoch: 50
- hidden_size: 64
- learning_rate: 0.001
- lstm_layers: 2
- patience: 5
- random_seed: 42
- time_step: 16
- add_train: false
- cap: 50
- continue_flag: 'xiushui'
- data_format:
- cdq: cdq.csv
- dq: dq.csv
- test: xiushui_test.csv
- envir: envir.xlsx
- nwp: xiushui_train.csv
- rp: rp.xlsx
- rp1: power.csv
- debug_model: false
- debug_num: 500
- do_continue_train: false
- do_figure_save: false
- do_log_print_to_screen: true
- do_log_save_to_file: true
- do_predict: true
- do_train: true
- do_train_visualized: true
- electricType: E1
- envir_columns: 16
- excel_data_path: ./data/xiushui/xiushui15/
- figure_save_path: ./figure/
- formulaType: DAY_SHORT_ACCURACY
- is_continuous_predict: true
- is_photovoltaic: true
- log_save_path: ./log/
- model_postfix:
- keras: .h5
- pytorch: .pthc
- tensorflow: .ckpt
- predict_point: 0
- province: E13
- save_frame: lstm
- shuffle_train_data: false
- stationCode: J00301
- train_data_path: ./data/
- train_data_rate: 0.9
- use_cuda: false
- used_frame: keras
- valid_data_rate: 0.15
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