d8151eee6170df7421d70c39d9e7a6513cf89012,GPy/kern/parts/linear.py,Linear,K,#Linear#Any#Any#Any#,68

Before Change

                XX2 = X2 * np.sqrt(self.variances)
                target += np.dot(XX, XX2.T)
        else:
            self._K_computations(X, X2)
            target += self.variances * self._dot_product

    def Kdiag(self, X, target):
        np.add(target, np.sum(self.variances * np.square(X), -1), target)

After Change

                XX2 = X2 * np.sqrt(self.variances)
                target += np.dot(XX, XX2.T)
        else:
            if X is not self._X or X2 is not None:
                self._K_computations(X, X2)
            target += self.variances * self._dot_product

    def Kdiag(self, X, target):
        np.add(target, np.sum(self.variances * np.square(X), -1), target)

Instances