DOC: Added dropdowns to 4.1 PDPs (#27187)

MikiPWata · glemaitre · commit d69d31be2ac5 · 2024-02-13T20:24:48.000+01:00
diff --git a/doc/modules/partial_dependence.rst b/doc/modules/partial_dependence.rst
@@ -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::
 
@@ -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::
