f669d0124b125f359e98f74dc860afb2e6bde3ec,GPy/likelihoods/gaussian.py,Gaussian,predictive_values,#Gaussian#Any#Any#Any#,83

Before Change

    def predictive_values(self, mu, var, full_cov=False):
        if full_cov:
            low, up = mu - np.diag(var)[:,None], mu + np.diag(var)[:,None]
        else:
            low, up = mu - var, mu + var
        return mu, var, low, up

After Change

    def predictive_values(self, mu, var, full_cov=False):
        if full_cov:
            var += np.eye(var.shape[0])*self.variance
            d = 2*np.sqrt(np.diag(var))
            low, up = mu - d, mu + d
        else:
            var += self.variance
            d = 2*np.sqrt(var)

Instances