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Predicting mean and covariance on a test set, X_test, scale N**2, because we are constructing K(X_test, X_test). In case X_test is large, we would prefer to not calculate the covariance matrix, but just the standard deviation based on the diagonal (See gpfunctions.uncertainty)
The text was updated successfully, but these errors were encountered:
Predicting mean and covariance on a test set, X_test, scale N**2, because we are constructing K(X_test, X_test). In case X_test is large, we would prefer to not calculate the covariance matrix, but just the standard deviation based on the diagonal (See gpfunctions.uncertainty)
The text was updated successfully, but these errors were encountered: