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[MRG] Correct default value of reg_covar in GaussianMixture. #8462

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Feb 27, 2017
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[MRG] Correct default value of reg_covar in GaussianMixture. #8462

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2 changes: 1 addition & 1 deletion sklearn/mixture/gaussian_mixture.py
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Expand Up @@ -463,7 +463,7 @@ class GaussianMixture(BaseMixture):
The convergence threshold. EM iterations will stop when the
lower bound average gain is below this threshold.

reg_covar : float, defaults to 0.
reg_covar : float, defaults to 1e-6.
Non-negative regularization added to the diagonal of covariance.
Allows to assure that the covariance matrices are all positive.

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