DOC Handling of NaNs in preprocessing is an enhancement
@@ -88,9 +88,6 @@ Preprocessing
:issue:`10210` by :user:`Eric Chang <ericchang00>` and
:user:`Maniteja Nandana <maniteja123>`.
-- :class:`preprocessing.QuantileTransformer` handles and ignores NaN values.
- :issue:`10404` by :user:`Guillaume Lemaitre <glemaitre>`.
-
- Added the :class:`compose.TransformedTargetRegressor` which transforms
the target y before fitting a regression model. The predictions are mapped
back to the original space via an inverse transform. :issue:`9041` by
@@ -101,9 +98,6 @@ Preprocessing
other features in a round-robin fashion. :issue:`8478` by
:user:`Sergey Feldman <sergeyf>`.
-- Updated :class:`preprocessing.MinMaxScaler` to pass through NaN values. :issue:`10404`
- by :user:`Lucija Gregov <LucijaGregov>`.
-
Model evaluation
- Added the :func:`metrics.cluster.davies_bouldin_index` metric for unsupervised
@@ -218,6 +212,12 @@ Preprocessing
classes found which are ignored.
:issue:`10913` by :user:`Rodrigo Agundez <rragundez>`.
+- :class:`preprocessing.QuantileTransformer` handles and ignores NaN values.
+ :issue:`10404` by :user:`Guillaume Lemaitre <glemaitre>`.
+
+- Updated :class:`preprocessing.MinMaxScaler` to pass through NaN values.
+ :issue:`10404` by :user:`Lucija Gregov <LucijaGregov>`.
+
Model evaluation and meta-estimators
- A scorer based on :func:`metrics.brier_score_loss` is also available.
