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Fixed documentation for mean_precision_prior. Smaller->Larger #13764

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May 5, 2019
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Fixed documentation for mean_precision_prior. Smaller->Larger #13764

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4 changes: 2 additions & 2 deletions sklearn/mixture/bayesian_mixture.py
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Expand Up @@ -140,7 +140,7 @@ class BayesianGaussianMixture(BaseMixture):

mean_precision_prior : float | None, optional.
The precision prior on the mean distribution (Gaussian).
Controls the extend to where means can be placed. Smaller
Controls the extend to where means can be placed. Larger
values concentrate the means of each clusters around `mean_prior`.
The value of the parameter must be greater than 0.
If it is None, it's set to 1.
Expand Down Expand Up @@ -260,7 +260,7 @@ class BayesianGaussianMixture(BaseMixture):
mean_precision_prior : float
The precision prior on the mean distribution (Gaussian).
Controls the extend to where means can be placed.
Smaller values concentrate the means of each clusters around
Larger values concentrate the means of each clusters around
`mean_prior`.

mean_precision_ : array-like, shape (n_components,)
Expand Down