YAO/YAO-optimizer
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Newnius 2020-05-02 10:55:56 +08:00
parent eacbd26a01
commit 1cbe0bf37b
1 changed files with 2 additions and 2 deletions
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train.py
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@ -108,9 +108,9 @@ def experiment(repeats, series, seed):
# forecast the entire training dataset to build up state for forecasting
print(train_trimmed)
print(train_trimmed[:, 0])
print(train_trimmed[:, :])
print(train_trimmed[:, :-2])
if seed:
train_reshaped = train_trimmed[:, :].reshape(len(train_trimmed), 1, lag2+1)
train_reshaped = train_trimmed[:, :-2].reshape(len(train_trimmed), 1, lag2)
lstm_model.predict(train_reshaped, batch_size=batch_size)
# forecast test dataset
test_reshaped = test_scaled[:, 0:-1]