def test_logistic_mixture_normalization():
scale = Scale(-50, 50)
scalex2 = Scale(-100, 100)
mixture = LogisticMixture(
components=[Logistic(-40, 1, scale),
Logistic(50, 10, scale)],
probs=[0.5, 0.5],
)
mixturex2 = LogisticMixture(
components=[Logistic(-80, 2, scalex2),
Logistic(100, 20, scalex2)],
probs=[0.5, 0.5],
)
assert mixturex2 == mixture.normalize().denormalize(scalex2)
assert mixture == mixturex2.normalize().denormalize(scale)
normalized = (mixture.normalize()
) # not necessary to normalize but here for readability
assert normalized == LogisticMixture(
[Logistic(0.1, 0.01, Scale(0, 1)),
Logistic(1, 0.1, Scale(0, 1))],
[0.5, 0.5],
)
def test_logistic_mixture_normalization():
mixture = LogisticMixture([Logistic(-40, 1), Logistic(50, 10)], [0.5, 0.5])
for scale_min, scale_max in [(0, 10), (10, 100), (-10, 10), (-100, -10)]:
assert (mixture.normalize(scale_min,
scale_max).denormalize(scale_min,
scale_max) == mixture)
normalized = mixture.normalize(-50, 50)
assert normalized == LogisticMixture(
[Logistic(0.1, 0.01), Logistic(1, 0.1)], [0.5, 0.5])
