f881e65761acfc3ee3ef8eae6db13bf00db14faa,GPy/kern/product_orthogonal.py,product_orthogonal,K,#product_orthogonal#Any#Any#Any#,40

Before Change

    def K(self,X,X2,target):
        Compute the covariance matrix between X and X2.
        if X2 is None: X2 = X
        target1 = np.zeros((X.shape[0],X2.shape[0]))
        target2 = np.zeros((X.shape[0],X2.shape[0]))
        self.k1.K(X[:,:self.k1.D],X2[:,:self.k1.D],target1)
        self.k2.K(X[:,self.k1.D:],X2[:,self.k1.D:],target2)
        target += target1 * target2

After Change

    def K(self,X,X2,target):
        Compute the covariance matrix between X and X2.
        if X2 is None: X2 = X
        target1 = np.zeros_like(target)
        target2 = np.zeros_like(target)
        self.k1.K(X[:,:self.k1.D],X2[:,:self.k1.D],target1)
        self.k2.K(X[:,self.k1.D:],X2[:,self.k1.D:],target2)
        target += target1 * target2

Instances