de35f42a16796d9aab141dd944d79b1d97cec350,grakel/kernels/random_walk.py,RandomWalk,pairwise_operation,#RandomWalk#Any#Any#,200

Before Change

            if self.kernel_type == "geometric":
                return np.linalg.multi_dot(
                    (np.ones(s),
                     inv(Id - self.lamda*XY).T, np.ones(shape=(s))))
            elif self.kernel_type == "exponential":
                return np.linalg.multi_dot((np.ones(s),

After Change

            qj_Pj, wj = Y

            // calculate flanking factor
            ff = np.expand_dims(np.kron(qi_Pi, qj_Pj), axis=0)

            // calculate D based on the method
            Dij = np.kron(wi, wj)
            if self.p is not None:

Instances