-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathtest.py
79 lines (70 loc) · 2.63 KB
/
test.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
import numpy as np
import scipy.stats
from util import check_marginals, align_sequences
from util import basic_hmm, cyclic_hmm, cyclic_hmm_dirichlet, cyclic_hmm_hdp
def test_sample_states_exact(n_samples=1000):
h = basic_hmm()
samples = []
for _ in range(n_samples):
h.sample_states_exact()
samples.append(np.array(h.states))
assert all(s in [0, 1] for sample in samples for s in sample)
check_marginals(samples, [0.1327, 0.1796, 0.6925, 0.1796, 0.1327])
def test_sample_states_slice(n_samples=1000):
h = basic_hmm()
h.sample_states_exact()
samples = []
for _ in range(n_samples):
h.sample_states_slice()
samples.append(np.array(h.states))
assert all(s in [0, 1] for sample in samples for s in sample)
check_marginals(samples, [0.1327, 0.1796, 0.6925, 0.1796, 0.1327])
def test_cyclic_hmm_fixed():
h = cyclic_hmm()
states = np.array(h.states)
h.sample_states_exact()
assert np.count_nonzero(states == h.states) > 750
def test_cyclic_hmm_dirichlet_stationary():
dh = cyclic_hmm_dirichlet()
h = dh.hmm
states = np.array(h.states)
dh.initialize_with_states(h.states)
for _ in range(10):
print(align_sequences(states, h.states))
dh.sample_gibbs(1)
assert align_sequences(states, h.states) > 750
def test_cyclic_hmm_dirichlet_convergence():
dh = cyclic_hmm_dirichlet()
h = dh.hmm
states = np.array(h.states)
dh.initialize_with_states(np.random.choice(range(4), size=states.size))
for _ in range(10):
print(align_sequences(states, h.states))
dh.sample_gibbs(50)
assert align_sequences(states, h.states) > 700
def test_cyclic_hmm_dir_slice_convergence():
dh = cyclic_hmm_dirichlet()
h = dh.hmm
states = np.array(h.states)
dh.initialize_with_states(np.random.choice(range(4), size=states.size))
for _ in range(10):
print(align_sequences(states, h.states))
dh.sample_gibbs(50, sample_states_method=h.sample_states_slice)
assert align_sequences(states, h.states) > 700
def test_cyclic_hmm_hdp_slice_stationary():
hdh = cyclic_hmm_hdp()
h = hdh.hmm
states = np.array(h.states)
hdh.initialize_with_states(h.states)
for _ in range(100):
print(align_sequences(states, h.states))
hdh.sample_gibbs(1)
def test_cyclic_hmm_hdp_slice_convergence():
hdh = cyclic_hmm_hdp()
h = hdh.hmm
states = np.array(h.states)
hdh.initialize_with_states(np.random.choice(range(1, 21), size=states.size))
for _ in range(10):
print(align_sequences(states, h.states))
hdh.sample_gibbs(50)
assert align_sequences(states, h.states) > 700