3452cdbe9f0a964f22c5c4ea6aeb8c026af040d3,pynndescent/sparse.py,,sparse_alternative_hellinger,#Any#Any#Any#Any#,541

Before Change

    elif result <= 0:
        return FLOAT32_MAX
    else:
        return 0.5 * (np.log(l1_norm_x) + np.log(l1_norm_y)) - np.log(result)


@numba.vectorize(fastmath=True, cache=True)
def sparse_correct_alternative_hellinger(d):

After Change

    elif result <= 0:
        return FLOAT32_MAX
    else:
        result = np.sqrt(l1_norm_x * l1_norm_y) / result
        return np.log2(result)


@numba.vectorize(fastmath=True, cache=True)
def sparse_correct_alternative_hellinger(d):

Instances