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[MRG+2] BayesianGaussianMixture docstring change: weight_concentration_prior is commonly called gamma #9371

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Jul 15, 2017
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[MRG+2] BayesianGaussianMixture docstring change: weight_concentration_prior is commonly called gamma #9371

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3 changes: 2 additions & 1 deletion sklearn/mixture/bayesian_mixture.py
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Expand Up @@ -131,7 +131,8 @@ class BayesianGaussianMixture(BaseMixture):

weight_concentration_prior : float | None, optional.
The dirichlet concentration of each component on the weight
distribution (Dirichlet). The higher concentration puts more mass in
distribution (Dirichlet). This is commonly called gamma in the
literature. The higher concentration puts more mass in
the center and will lead to more components being active, while a lower
concentration parameter will lead to more mass at the edge of the
mixture weights simplex. The value of the parameter must be greater
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