def test_sigmoid():
a = np.arange(30) / 29.
expected = np.array([
0.4378235, 0.44207164, 0.44632827, 0.45059279, 0.45486458, 0.45914303,
0.4634275, 0.46771738, 0.47201205, 0.47631085, 0.48061317, 0.48491837,
0.48922581, 0.49353484, 0.49784484, 0.50215516, 0.50646516, 0.51077419,
0.51508163, 0.51938683, 0.52368915, 0.52798795, 0.53228262, 0.5365725,
0.54085697, 0.54513542, 0.54940721, 0.55367173, 0.55792836, 0.5621765
])
test = sigmoid(a, 0.5)
assert_allclose(test, expected)
def test_sigmoid():
a = np.arange(30) / 29.
expected = np.array(
[ 0.4378235 , 0.44207164, 0.44632827, 0.45059279, 0.45486458,
0.45914303, 0.4634275 , 0.46771738, 0.47201205, 0.47631085,
0.48061317, 0.48491837, 0.48922581, 0.49353484, 0.49784484,
0.50215516, 0.50646516, 0.51077419, 0.51508163, 0.51938683,
0.52368915, 0.52798795, 0.53228262, 0.5365725 , 0.54085697,
0.54513542, 0.54940721, 0.55367173, 0.55792836, 0.5621765 ])
test = sigmoid(a, 0.5)
assert_allclose(test, expected)