Python log_squared_euclidean_distance示例

示例#1

def test_log_squared_euclidean_distance():
    x = np.asarray([1, 2])
    y = np.asarray([3, 4])

    dist = distance.log_squared_euclidean_distance(x, y)

    assert dist == 219722.45773362197

示例#2

def test_log_squared_euclidean_distance():
    x = np.asarray([5.1, 3.5, 1.4, 0.3])
    y = np.asarray([5.4, 3.4, 1.7, 0.2])

    dist = distance.log_squared_euclidean_distance(x, y)

    assert dist == 18232.155679395495