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
|
--- a/sklearn/decomposition/tests/test_fastica.py
+++ b/sklearn/decomposition/tests/test_fastica.py
@@ -104,21 +104,21 @@ def test_fastica(add_noise=False):
assert_almost_equal(np.dot(s2_, s2) / n_samples, 1, decimal=1)
# Test FastICA class
- ica = FastICA(fun=nl, algorithm=algo)
+ ica = FastICA(fun=nl, algorithm=algo, random_state=0)
ica.fit(m)
ica.get_mixing_matrix()
def test_fastica_nowhiten():
m = [[0, 1], [1, 0]]
- ica = FastICA(whiten=False)
+ ica = FastICA(whiten=False, random_state=0)
ica.fit(m)
ica.get_mixing_matrix()
# test for issue #697
with warnings.catch_warnings(record=True) as w:
warnings.simplefilter("always")
- ica = FastICA(n_components=1, whiten=False)
+ ica = FastICA(n_components=1, whiten=False, random_state=0)
ica.fit(m) # should raise warning
assert_true(len(w) == 1) # 1 warning should be raised
@@ -146,7 +146,7 @@ def test_non_square_fastica(add_noise=Fa
center_and_norm(m)
- k_, mixing_, s_ = fastica(m.T, n_components=2)
+ k_, mixing_, s_ = fastica(m.T, n_components=2, random_state=rng)
s_ = s_.T
# Check that the mixing model described in the docstring holds:
|
