.. _sphx_glr_auto_examples_covariance: .. _covariance_examples: Covariance estimation --------------------- Examples concerning the :mod:`sklearn.covariance` module. .. raw:: html <div class="sphx-glr-thumbnails"> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="The usual covariance maximum likelihood estimate can be regularized using shrinkage. Ledoit and..."> .. only:: html .. image:: /auto_examples/covariance/images/thumb/sphx_glr_plot_lw_vs_oas_thumb.png :alt: Ledoit-Wolf vs OAS estimation :ref:`sphx_glr_auto_examples_covariance_plot_lw_vs_oas.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Ledoit-Wolf vs OAS estimation</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="This example shows covariance estimation with Mahalanobis distances on Gaussian distributed dat..."> .. only:: html .. image:: /auto_examples/covariance/images/thumb/sphx_glr_plot_mahalanobis_distances_thumb.png :alt: Robust covariance estimation and Mahalanobis distances relevance :ref:`sphx_glr_auto_examples_covariance_plot_mahalanobis_distances.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Robust covariance estimation and Mahalanobis distances relevance</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="The usual covariance maximum likelihood estimate is very sensitive to the presence of outliers ..."> .. only:: html .. image:: /auto_examples/covariance/images/thumb/sphx_glr_plot_robust_vs_empirical_covariance_thumb.png :alt: Robust vs Empirical covariance estimate :ref:`sphx_glr_auto_examples_covariance_plot_robust_vs_empirical_covariance.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Robust vs Empirical covariance estimate</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="When working with covariance estimation, the usual approach is to use a maximum likelihood esti..."> .. only:: html .. image:: /auto_examples/covariance/images/thumb/sphx_glr_plot_covariance_estimation_thumb.png :alt: Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihood :ref:`sphx_glr_auto_examples_covariance_plot_covariance_estimation.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihood</div> </div> .. raw:: html <div class="sphx-glr-thumbcontainer" tooltip="Using the GraphicalLasso estimator to learn a covariance and sparse precision from a small numb..."> .. only:: html .. image:: /auto_examples/covariance/images/thumb/sphx_glr_plot_sparse_cov_thumb.png :alt: Sparse inverse covariance estimation :ref:`sphx_glr_auto_examples_covariance_plot_sparse_cov.py` .. raw:: html <div class="sphx-glr-thumbnail-title">Sparse inverse covariance estimation</div> </div> .. raw:: html </div> .. toctree:: :hidden: /auto_examples/covariance/plot_lw_vs_oas /auto_examples/covariance/plot_mahalanobis_distances /auto_examples/covariance/plot_robust_vs_empirical_covariance /auto_examples/covariance/plot_covariance_estimation /auto_examples/covariance/plot_sparse_cov