covfunc.py 文件源码

def K(self, X, Xstar):
        """
        Computes covariance function values over `X` and `Xstar`.

        Parameters
        ----------
        X: np.ndarray, shape=((n, nfeatures))
            Instances
        Xstar: np.ndarray, shape=((n, nfeatures))
            Instances

        Returns
        -------
        np.ndarray
            Computed covariance matrix.
        """
        r = l2norm_(X, Xstar)
        return self.sigmaf * (np.exp(-(r / self.l) ** self.gamma)) + \
               self.sigman * kronDelta(X, Xstar)