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Pushing the docs to dev/ for branch: master, commit d5bd4e6a58a846992eb24524ad013dfa573b9342
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dev/_downloads/7ee55c12f8d3eb1dd8d2005d9dd7b6f1/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

dev/_downloads/c101b602d0b3510ef47dd19d64a4a92b/plot_release_highlights_0_22_0.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"New plotting API\n----------------\n\nA new plotting API is available for creating visualizations. This new API\nallows for quickly adjusting the visuals of a plot without involving any\nrecomputation. It is also possible to add different plots to the same\nfigure. See more examples in the `User Guide <visualizations>`.\n\n"
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"New plotting API\n----------------\n\nA new plotting API is available for creating visualizations. This new API\nallows for quickly adjusting the visuals of a plot without involving any\nrecomputation. It is also possible to add different plots to the same\nfigure. The following example illustrates :class:`~metrics.plot_roc_curve`,\nbut other plots utilities are supported like\n:class:`~inspection.plot_partial_dependence`,\n:class:`~metrics.plot_precision_recall_curve`, and\n:class:`~metrics.plot_confusion_matrix`. Read more about this new API in the\n`User Guide <visualizations>`.\n\n"
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]
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},
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{
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dev/_downloads/scikit-learn-docs.pdf

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dev/_images/iris.png

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