Created
August 9, 2021 16:46
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| from darts.models import RNNModel | |
| rnn_rain = RNNModel(input_chunk_length=30, | |
| training_length=40, | |
| n_rnn_layers=2) | |
| rnn_rain.fit(flow_train, | |
| future_covariates=rainfalls, | |
| epochs=100, | |
| verbose=True) | |
| eval_model(rnn_rain, | |
| future_covariates=rainfalls) |
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