From ded771df921f7a19546d9ef4fcad93ac18b551f8 Mon Sep 17 00:00:00 2001 From: Kensuke Arai Date: Wed, 1 May 2019 23:09:08 -0400 Subject: [PATCH] Fixed documentation for mean_precision_prior. Smaller->Larger --- sklearn/mixture/bayesian_mixture.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/sklearn/mixture/bayesian_mixture.py b/sklearn/mixture/bayesian_mixture.py index 6f13f63e3fcd9..88c0ab66ae20a 100644 --- a/sklearn/mixture/bayesian_mixture.py +++ b/sklearn/mixture/bayesian_mixture.py @@ -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,)