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Pushing the docs to dev/ for branch: main, commit 8ad8593ae171b933263754c6381e35736aed2bab
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dev/.buildinfo

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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: 4be72e05f1057aa7aa2df1c6d74c9eaa
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config: 98f80686770ccc4ae1b4560577c24427
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tags: 645f666f9bcd5a90fca523b33c5a78b7
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dev/_downloads/7aa7f72ae5f3350402429f7a9851b596/plot_mahalanobis_distances.py

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# MCD based Mahalanobis distances fit the inlier black points much better,
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# whereas the MLE based distances are more influenced by the outlier
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# red points.
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import matplotlib.lines as mlines
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fig, ax = plt.subplots(figsize=(10, 5))
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# Plot data set
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# Add legend
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ax.legend(
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[
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emp_cov_contour.collections[1],
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robust_contour.collections[1],
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mlines.Line2D([], [], color="tab:blue", linestyle="dashed"),
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mlines.Line2D([], [], color="tab:orange", linestyle="dotted"),
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inlier_plot,
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outlier_plot,
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],

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