

def K(self, X, X2, target):
    'Compute the covariance matrix between X and X2.'
    AX = np.dot(X, self.transform)
    if (X2 is None):
        X2 = X
        AX2 = AX
    else:
        AX2 = np.dot(X2, AX.transform)
    self.k.K(X, X2, target)
    self.k.K(AX, X2, target)
    self.k.K(X, AX2, target)
    self.k.K(AX, AX2, target)

dataset/ETHPy150Open SheffieldML/GPy/GPy/kern/src/todo/symmetric.py Symmetric.K/VarMisuse@61/85 `self`->`AX`