@@ -128,13 +128,6 @@ Support for Python 3.4 and below has been officially dropped.
128
128
:class: `ensemble.AdaBoostClassifier ` and :class: `ensemble.AdaBoostRegressor `
129
129
:issue: `13174 ` by :user: `Christos Aridas <chkoar> `.
130
130
131
- - |Fix | Fixed a bug in :class: `ensemble.GradientBoostingClassifier ` and
132
- :class: `ensemble.GradientBoostingRegressor `, which didn't support
133
- scikit-learn estimators as the initial estimator. Also added support of
134
- initial estimator which does not support sample weights. :issue: `12436 ` by
135
- :user: `Jérémie du Boisberranger <jeremiedbb> ` and :issue: `12983 ` by
136
- :user: `Nicolas Hug<NicolasHug> `.
137
-
138
131
- |Fix | Fixed the output of the average path length computed in
139
132
:class: `ensemble.IsolationForest ` when the input is either 0, 1 or 2.
140
133
:issue: `13251 ` by :user: `Albert Thomas <albertcthomas> `
@@ -144,11 +137,6 @@ Support for Python 3.4 and below has been officially dropped.
144
137
the gradients would be incorrectly computed in multiclass classification
145
138
problems. :issue: `12715 ` by :user: `Nicolas Hug<NicolasHug> `.
146
139
147
- - |Fix | Fixed a bug in :class: `ensemble.GradientBoostingClassifier ` where
148
- the default initial prediction of a multiclass classifier would predict the
149
- classes priors instead of the log of the priors. :issue: `12983 ` by
150
- :user: `Nicolas Hug<NicolasHug> `.
151
-
152
140
- |Fix | Fixed a bug in :mod: `ensemble ` where the ``predict `` method would
153
141
error for multiclass multioutput forests models if any targets were strings.
154
142
:issue: `12834 ` by :user: `Elizabeth Sander <elsander> `.
0 commit comments