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ranpelta/step 9 - make predictions.py

Last active July 18, 2020 08:14
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step 9 - make predictions.py
X_test = test.drop(y_col,axis=1).copy()
scaled_X_test = Xscaler.transform(X_test)
test_generator = TimeseriesGenerator(scaled_X_test, np.zeros(len(X_test)), length=n_input, batch_size=b_size)
print(test_generator[0][0].shape)
>>> (32, 25, 3)
y_pred_scaled = model.predict(test_generator)
y_pred = Yscaler.inverse_transform(y_pred_scaled)
results = pd.DataFrame({'y_true':test[y_col].values[n_input:],'y_pred':y_pred.ravel()})
print(results)
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