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model_set.json
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model_set.json
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{
"DAGMM": {
"data_path": "data/June30_mars_4min_an",
"weight_path": "weights/DAGMM/run.pth",
"predictions_path": "predictions/DAGMM/sc.txt",
"train_begin": 0,
"train_end": 10440,
"test_begin": 0,
"test_end": null,
"forecast_length": 15,
"skip_length": 0,
"training_params": {
"lambda_energy": 0.2,
"lr": 0.001,
"batch_size": 50,
"gmm_k": 3,
"num_epochs": 5,
"sequence_length": 20
}
},
"LSTM_DAGMM": {
"data_path": "data/June30_mars_4min_an",
"weight_path": "weights/LSTM_DAGMM/run.pth",
"predictions_path": "predictions/LSTM_DAGMM/sc.txt",
"train_begin": 0,
"train_end": 10440,
"test_begin": 0,
"test_end": null,
"forecast_length": 15,
"skip_length": 0,
"training_params": {
"lambda_energy": 0.2,
"lr": 0.001,
"batch_size": 50,
"gmm_k": 3,
"num_epochs": 2,
"sequence_length": 20
}
},
"LSTMED": {
"data_path": "data/June30_mars_4min_an",
"weight_path": "weights/LSTMED/run.pth",
"predictions_path": "predictions/LSTMED/sc.txt",
"train_begin": 0,
"train_end": 10440,
"test_begin": 0,
"test_end": null,
"forecast_length": 15,
"skip_length": 0,
"training_params": {
"num_epochs": 1,
"batch_size": 20,
"lr": 1e-3,
"hidden_size": 5,
"sequence_length": 30,
"train_gaussian_percentage": 0.25
}
},
"LSTMAD": {
"data_path": "data/June30_mars_4min_an",
"weight_path": "weights/LSTMAD/run.pth",
"predictions_path": "predictions/LSTMAD/sc.txt",
"train_begin": 0,
"train_end": 10440,
"test_begin": 0,
"test_end": null,
"forecast_length": 15,
"skip_length": 0,
"training_params": {
"len_in": 1,
"len_out": 10,
"num_epochs": 3,
"lr": 1e-3,
"batch_size": 1
}
},
"REBM": {
"data_path": "data/June30_mars_4min_an",
"weight_path": "weights/REBM/run.pth",
"predictions_path": "predictions/REBM/sc.txt",
"train_begin": 0,
"train_end": 10440,
"test_begin": 0,
"test_end": null,
"forecast_length": 15,
"skip_length": 0,
"training_params": {
"num_epochs": 100,
"n_hidden": 50,
"n_hidden_recurrent": 100,
"min_lr": 1e-3,
"batch_size": 10
}
},
"DONUT": {
"data_path": "data/June30_mars_4min_an",
"weight_path": "weights/DONUT/run.pth",
"predictions_path": "predictions/DONUT/sc.txt",
"train_begin": 0,
"train_end": 10440,
"test_begin": 0,
"test_end": null,
"forecast_length": 15,
"skip_length": 0,
"training_params": {
"num_epochs": 10,
"batch_size": 32,
"x_dims": 120
}
}
}