GP prediction score

GP_score.py

    def score(self, X_test, y_test):
        """Calculate root mean squared error
        
        Input
        -----
        X_test: test set, array of shape (n_samples, n_features)
        y_test: test labels, array of shape (n_samples, )
        
        Output
        ------
        RMSE: the root mean square error"""
        
        y_pred, SSqr = self.predict(X_test)
        RMSE = np.sqrt(np.mean((y_pred-y_test)**2))
        
        return RMSE