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

Before Change

            numerator = mean_xy - mean_x * mean_y

            denumerator = np.dot(W2D.T, numerator)
            denumerator = np.diag(denumerator)
            A = safe_divide(numerator, denumerator[:, None])

        // update length
        //norm = np.diag(np.dot(W2D.T, A))[np.newaxis]

After Change

        EyEy = mean_y * mean_y
        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))
            print("pattern_check", W.shape, tmp.min(), tmp.max())

        return A.reshape(W.shape)

Instances