DOC: see also pointing to ApplyToCols/Frame (#1750)

Author: GaelVaroquaux

skrub/_table_vectorizer.py

@@ -209,6 +209,14 @@ class Cleaner(TransformerMixin, BaseEstimator):
         types and representation of missing values. More informative columns (e.g.,
         categorical or datetime) are not converted.
 
+    ApplyToCols :
+        Apply a given transformer separately to each column in a selection of columns.
+        Useful to complement the default heuristics of the ``Cleaner``.
+
+    ApplyToFrame :
+        Apply a given transformer jointly to all columns in a selection of columns.
+        Useful to complement the default heuristics of the ``Cleaner``.
+
     Notes
     -----
     The ``Cleaner`` performs the following set of transformations on each column:
@@ -529,6 +537,14 @@ class TableVectorizer(TransformerMixin, BaseEstimator):
         Preprocesses each column of a dataframe with consistency checks and
         sanitization, e.g., of null values or dates.
 
+    ApplyToCols :
+        Apply a given transformer separately to each column in a selection of columns.
+        Useful to complement the default heuristics of the ``TableVectorizer``.
+
+    ApplyToFrame :
+        Apply a given transformer jointly to all columns in a selection of columns.
+        Useful to complement the default heuristics of the ``TableVectorizer``.
+
     Notes
     -----
     The TableVectorizer applies a different transformation to each of several kinds of columns: