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TST Fix Determinism in test_fit_csr_matrix (#15158)

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Thomas J Fan 2019-10-20 18:10:12 -04:00 committed by Roman Yurchak
parent ab4089edc9
commit 5a0043a87f
1 changed files with 3 additions and 3 deletions
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6
sklearn/manifold/tests/test_t_sne.py
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@ -265,9 +265,9 @@ def test_optimization_minimizes_kl_divergence():
@pytest.mark.parametrize('method', ['exact', 'barnes_hut'])
def test_fit_csr_matrix(method):
# X can be a sparse matrix.
random_state = check_random_state(0)
X = random_state.randn(50, 2)
X[(np.random.randint(0, 50, 25), np.random.randint(0, 2, 25))] = 0.0
rng = check_random_state(0)
X = rng.randn(50, 2)
X[(rng.randint(0, 50, 25), rng.randint(0, 2, 25))] = 0.0
X_csr = sp.csr_matrix(X)
tsne = TSNE(n_components=2, perplexity=10, learning_rate=100.0,
random_state=0, method=method, n_iter=750)