bd1e9c04b48dd5ccca9619d5eaa2595a358bdb08,gpflow/kernels/misc.py,Coregion,K_diag,#Coregion#Any#Any#,152

Before Change

    def K_diag(self, X, presliced=False):
        X, _ = self.slice(X, None)
        X = tf.cast(X[:, 0], tf.int32)
        Bdiag = tf.reduce_sum(tf.square(self.W), 1) + self.kappa
        return tf.gather(Bdiag, X)

After Change

        theta = tf.acos(jitter + (1 - 2 * jitter) * cos_theta)

        return self.variance * (1. / np.pi) * self._J(theta) * \
               X_denominator[:, None] ** self.order * \
               X2_denominator[None, :] ** self.order

    def K_diag(self, X):
        X_product = self._weighted_product(X)
        const = tf.cast((1. / np.pi) * self._J(0.), default_float())
        return self.variance * const * X_product**self.order

Instances