bea74ac5231e47cce34170273771fd61a39e6b73,GPy/likelihoods/mixed_noise.py,MixedNoise,covariance_matrix,#MixedNoise#Any#Any#,53

Before Change

        assert all([isinstance(l, Gaussian) for l in self.likelihoods_list])
        ind = Y_metadata["output_index"].flatten()
        variance = np.zeros(Y.shape[0])
        for lik, j in zip(self.likelihoods_list, range(len(self.likelihoods_list))):
            variance[ind==j] = lik.variance
        return np.diag(variance)


    def samples(self, gp, Y_metadata):

After Change

        //for lik, j in zip(self.likelihoods_list, range(len(self.likelihoods_list))):
        //    variance[ind==j] = lik.variance
        //return np.diag(variance)
        return np.diag(self.gaussian_variance(Y_metadata).flatten())


    def samples(self, gp, Y_metadata):
        

Instances