8000 DOC: Added dropdowns to 4.1 PDPs by MikiPWata · Pull Request #27187 · scikit-learn/scikit-learn · GitHub
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DOC: Added dropdowns to 4.1 PDPs #27187

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Jan 18, 2024
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DOC: Added dropdowns to 4.1 PDPs #27187

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DOC: Added dropdowns to 4.1 PDPs
Aug 28, 2023
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Merge branch 'main' into feature/DOC-add_dropdown_pdp-26617
ArturoAmorQ Jan 17, 2024
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6 changes: 6 additions & 0 deletions doc/modules/partial_dependence.rst
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Expand Up @@ -79,6 +79,10 @@ parameter takes a list of indices, names of the categorical features or a boolea
mask. The graphical representation of partial dependence for categorical features is
a bar plot or a 2D heatmap.

|details-start|
**PDPs for multi-class classification**
|details-split|

For multi-class classification, you need to set the class label for which
the PDPs should be created via the ``target`` argument::

Expand All @@ -93,6 +97,8 @@ the PDPs should be created via the ``target`` argument::
The same parameter ``target`` is used to specify the target in multi-output
regression settings.

|details-end|

If you need the raw values of the partial dependence function rather than
the plots, you can use the
:func:`sklearn.inspection.partial_dependence` function::
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