scikit-learn · OmarManzoor · Jul 9, 2024 · Feb 21, 2024 · Feb 21, 2024 · Feb 21, 2024
diff --git a/doc/metadata_routing.rst b/doc/metadata_routing.rst
@@ -315,6 +315,7 @@ Meta-estimators and functions supporting metadata routing:
 - :class:`sklearn.multioutput.RegressorChain`
 - :class:`sklearn.pipeline.FeatureUnion`
 - :class:`sklearn.pipeline.Pipeline`
+- :class:`sklearn.semi_supervised.SelfTrainingClassifier`
 
 Meta-estimators and tools not supporting metadata routing yet:
 
@@ -324,4 +325,3 @@ Meta-estimators and tools not supporting metadata routing yet:
 - :class:`sklearn.feature_selection.RFECV`
 - :class:`sklearn.feature_selection.SequentialFeatureSelector`
 - :class:`sklearn.model_selection.permutation_test_score`
-- :class:`sklearn.semi_supervised.SelfTrainingClassifier`
diff --git a/doc/whats_new/v1.6.rst b/doc/whats_new/v1.6.rst
@@ -71,7 +71,7 @@ more details.
   :class:`ensemble.StackingRegressor` now support metadata routing and pass
   ``**fit_params`` to the underlying estimators via their `fit` methods.
   :pr:`28701` by :user:`Stefanie Senger <StefanieSenger>`.
-
+  
 - |Feature| :class:`compose.TransformedTargetRegressor` now supports metadata
   routing in its `fit` and `predict` methods and routes the corresponding
   params to the underlying regressor.
@@ -81,6 +81,14 @@ more details.
   the `fit` method of its estimator and for its underlying CV splitter and scorer.
   :pr:`29329` by :user:`Stefanie Senger <StefanieSenger>`.
 
+- |Feature| :class:`semi_supervised.SelfTrainingClassifier`
+  now supports metadata routing. The fit method now accepts ``**fit_params``
+  which are passed to the underlying estimators via their `fit` methods.
+  In addition, the `predict`, `predict_proba`, `predict_log_proba`, `score`
+  and `decision_function` methods also accept ``**params`` which are
+  passed to the underlying estimators via their respective methods.
+  :pr:`28494` by :user:`Adam Li <adam2392>`.
+
 Dropping official support for PyPy
 ----------------------------------
 
@@ -189,6 +197,13 @@ Changelog
   when duplicate values in the training data lead to inaccurate outlier detection.
   :pr:`28773` by :user:`Henrique Caroço <HenriqueProj>`.
 
+:mod:`sklearn.semi_supervised`
+..............................
+
+- |API| :class:`semi_supervised.SelfTrainingClassifier`
+  deprecated the `base_estimator` parameter in favor of `estimator`.
+  :pr:`28494` by :user:`Adam Li <adam2392>`.
+
 Thanks to everyone who has contributed to the maintenance and improvement of
 the project since version 1.5, including: