8111b1a80dde0202f9ae96f7598441218066e2db,innvestigate/tools/pattern.py,LinearPattern,compute_pattern,#LinearPattern#,118

Before Change

        mean_x = self.mean_x.get_weights()[0]
        mean_y = self.mean_y.get_weights()[0]
        mean_xy = self.mean_xy.get_weights()[0]
        mean_yy = self.mean_yy.get_weights()[0]

        if True:
            ExEy = mean_x * mean_y
            EyEy = mean_y * mean_y

After Change

        cov_xy = mean_xy - ExEy

        w_cov_xy = np.diag(np.dot(W2D.T, cov_xy))
        A = safe_divide(cov_xy, w_cov_xy)

        // update length
        if True:
            norm = np.diag(np.dot(W2D.T, A))
            A = safe_divide(A, norm)

        // check pattern
        if False:
            tmp = np.diag(np.dot(W2D.T, A))

Instances