DOC change from 'means_prior' to 'mean_prior' in BayesianGaussianMixt…

…ure (#13090)
scikit-learn · Feb 19, 2019 · adfc044 · adfc044
1 parent 2594d91
commit adfc044
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diff --git a/sklearn/mixture/bayesian_mixture.py b/sklearn/mixture/bayesian_mixture.py
@@ -266,7 +266,7 @@ class BayesianGaussianMixture(BaseMixture):
     mean_precision_ : array-like, shape (n_components,)
         The precision of each components on the mean distribution (Gaussian).
 
-    means_prior_ : array-like, shape (n_features,)
+    mean_prior_ : array-like, shape (n_features,)
         The prior on the mean distribution (Gaussian).
 
     degrees_of_freedom_prior_ : float

diff --git a/sklearn/mixture/tests/test_bayesian_mixture.py b/sklearn/mixture/tests/test_bayesian_mixture.py
@@ -118,7 +118,7 @@ def test_bayesian_mixture_weights_prior_initialisation():
     assert_almost_equal(1. / n_components, bgmm.weight_concentration_prior_)
 
 
-def test_bayesian_mixture_means_prior_initialisation():
+def test_bayesian_mixture_mean_prior_initialisation():
     rng = np.random.RandomState(0)
     n_samples, n_components, n_features = 10, 3, 2
     X = rng.rand(n_samples, n_features)