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Pushing the docs to dev/ for branch: master, commit 8529567507ad080c317d84f7289bfad5ae6023d9
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dev/_downloads/a4ab16c5452534a66bb87e6404a1d2a1/plot_release_highlights_0_23_0.py

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print(gbdt.score(X_test, y_test))
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##############################################################################
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# Rich HTML representation for estimators
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# ---------------------------------------
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# Estimators can now be rendered in html in notebooks by enabling the
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# `display='diagram'` option. This is particularly useful to visualize
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# pipelines and composite estimators. Click on the entries to expand and see
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# details.
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# Rich visual representation of estimators
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# -----------------------------------------
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# Estimators can now be visualized in notebooks by enabling the
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# `display='diagram'` option. This is particularly useful to summarise the
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# structure of pipelines and other composite estimators, with interactivity to
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# provide detail. Click on the example image below to expand Pipeline
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# elements. See :ref:`visualizing_composite_estimators` for how you can use
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# this feature.
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from sklearn import set_config
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from sklearn.pipeline import make_pipeline
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from sklearn.preprocessing import OneHotEncoder, StandardScaler

dev/_downloads/bf22717272b44c5d619a1e45d91c7ac1/plot_release_highlights_0_23_0.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Rich HTML representation for estimators\n---------------------------------------\nEstimators can now be rendered in html in notebooks by enabling the\n`display='diagram'` option. This is particularly useful to visualize\npipelines and composite estimators. Click on the entries to expand and see\ndetails.\n\n"
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"Rich visual representation of estimators\n-----------------------------------------\nEstimators can now be visualized in notebooks by enabling the\n`display='diagram'` option. This is particularly useful to summarise the\nstructure of pipelines and other composite estimators, with interactivity to\nprovide detail. Click on the example image below to expand Pipeline\nelements. See `visualizing_composite_estimators` for how you can use\nthis feature.\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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