c61a48cc0bdc8c5f748495a7e2567789cb748cad,elfi/methods/bo/gpy_regression.py,GPyRegression,predictive_gradients,#GPyRegression#Any#,180

Before Change

                grad_var : np.array
                    with shape (x.shape[0], input_dim)
        
        x = self._check_input(x)
        if self._gp is None:
            // TODO: return from GP mean function if given
            return np.zeros((x.shape[0], self.input_dim)), \
                   np.zeros((x.shape[0], self.input_dim))

After Change

        

        // Ensure it"s 2d for GPy
        x = np.asanyarray(x).reshape((-1, self.input_dim))

        if self._gp is None:
            // TODO: return from GP mean function if given
            return np.zeros((x.shape[0], self.input_dim)), \

Instances