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The :mod:`sklearn.covariance` module includes methods and algorithms to
robustly estimate the covariance of features given a set of points. The
precision matrix defined as the inverse of the covariance is also estimated.
Covariance estimation is closely related to the theory of Gaussian Graphical
Models.
   )EllipticEnvelope)EmpiricalCovarianceempirical_covariancelog_likelihood)GraphicalLassoGraphicalLassoCVgraphical_lasso)	MinCovDetfast_mcd)OAS
LedoitWolfShrunkCovarianceledoit_wolfledoit_wolf_shrinkageoasshrunk_covariance)r   r   r   r   r   r
   r   r   r   r   r	   r   r   r   r   r   N)__doc___elliptic_enveloper   _empirical_covariancer   r   r   _graph_lassor   r   r	   _robust_covariancer
   r   _shrunk_covariancer   r   r   r   r   r   r   __all__     ;lib/python3.12/site-packages/sklearn/covariance/__init__.py<module>r      s;    1 
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