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In AirPollutionMultivariate.ipynb X, Y = to_supervised(scaled_dataset) X = np.array(X) Y = np.array(Y) print('Y' ,Y.shape) print('X' ,X.shape) Y (43796, 1) X (43796, 4, 8)
X which is the input to the model has 8 "features" (# of samples, window_size, # of features). Correct me if I'm wrong but isn't pollution the predictor variable thus it shouldn't be included in the training set.
The text was updated successfully, but these errors were encountered:
In AirPollutionMultivariate.ipynb
X, Y = to_supervised(scaled_dataset)
X = np.array(X)
Y = np.array(Y)
print('Y' ,Y.shape)
print('X' ,X.shape)
Y (43796, 1)
X (43796, 4, 8)
X which is the input to the model has 8 "features" (# of samples, window_size, # of features). Correct me if I'm wrong but isn't pollution the predictor variable thus it shouldn't be included in the training set.
The text was updated successfully, but these errors were encountered: