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@ -48,7 +48,7 @@
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5
train.py
5
train.py
@ -106,8 +106,11 @@ def experiment(repeats, series, seed):
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train_trimmed = train_scaled[train_scaled.shape[0] - t1 * batch_size:, :]
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lstm_model = fit_lstm(train_trimmed, batch_size, 30, 4)
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# forecast the entire training dataset to build up state for forecasting
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print(train_trimmed)
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print(train_trimmed[:, 0])
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print(train_trimmed[:, :])
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if seed:
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train_reshaped = train_trimmed[:, 0].reshape(len(train_trimmed), 1, lag2)
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train_reshaped = train_trimmed[:, :].reshape(len(train_trimmed), 1, lag2)
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lstm_model.predict(train_reshaped, batch_size=batch_size)
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# forecast test dataset
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test_reshaped = test_scaled[:, 0:-1]
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