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lylayang/ltsm_result.py

Created March 15, 2020 06:30
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ltsm_result.py
train_predict = model.predict(trainX)
test_predict = model.predict(testX)
# invert predictions
train_predict = scaler.inverse_transform(train_predict)
trainY = scaler.inverse_transform([trainY])
test_predict = scaler.inverse_transform(test_predict)
testY = scaler.inverse_transform([testY])
print('Train Root Mean Squared Error(RMSE): %.2f; Train Mean Absolute Error(MAE) : %.2f '% (np.sqrt(mean_squared_error(trainY[0], train_predict[:,0])),(mean_absolute_error(trainY[0], train_predict[:,0]))))
print('Test Root Mean Squared Error(RMSE): %.2f; Test Mean Absolute Error(MAE) : %.2f '% (np.sqrt(mean_squared_error(testY[0], test_predict[:,0])),(mean_absolute_error(testY[0], test_predict[:,0]))))
model_loss(history)
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