Fixed documentation for mean_precision_prior.  Smaller->Larger
@@ -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.
@@ -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,)
