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NicolasHugadrinjalali
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DOC mention other plotting utilities in highlights (#15569)
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examples/release_highlights/plot_release_highlights_0_22_0.py

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# A new plotting API is available for creating visualizations. This new API
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# allows for quickly adjusting the visuals of a plot without involving any
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# recomputation. It is also possible to add different plots to the same
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# figure. See more examples in the :ref:`User Guide <visualizations>`.
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# figure. The following example illustrates :class:`~metrics.plot_roc_curve`,
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# but other plots utilities are supported like
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# :class:`~inspection.plot_partial_dependence`,
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# :class:`~metrics.plot_precision_recall_curve`, and
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# :class:`~metrics.plot_confusion_matrix`. Read more about this new API in the
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# :ref:`User Guide <visualizations>`.
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from sklearn.model_selection import train_test_split
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from sklearn.svm import SVC

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