24 lines
601 B
Python
24 lines
601 B
Python
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# Author: Guillaume Lemaitre <g.lemaitre58@gmail.com>
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# License: BSD 3 clause
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import pytest
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import numpy as np
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from sklearn.mixture import GaussianMixture
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from sklearn.mixture import BayesianGaussianMixture
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@pytest.mark.parametrize(
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"estimator",
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[GaussianMixture(),
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BayesianGaussianMixture()]
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)
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def test_gaussian_mixture_n_iter(estimator):
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# check that n_iter is the number of iteration performed.
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rng = np.random.RandomState(0)
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X = rng.rand(10, 5)
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max_iter = 1
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estimator.set_params(max_iter=max_iter)
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estimator.fit(X)
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assert estimator.n_iter_ == max_iter
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