8000 DOC fix versionadded in forest (#21890) · scikit-learn/scikit-learn@b290da7 · GitHub
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DOC fix versionadded in forest (#21890)
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sklearn/ensemble/_forest.py

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@@ -1309,6 +1309,7 @@ class labels (multi-output problem).
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feature_names_in_ : ndarray of shape (`n_features_in_`,)
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Names of features seen during :term:`fit`. Defined only when `X`
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has feature names that are all strings.
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.. versionadded:: 1.0
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n_outputs_ : int
@@ -1650,6 +1651,7 @@ class RandomForestRegressor(ForestRegressor):
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feature_names_in_ : ndarray of shape (`n_features_in_`,)
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Names of features seen during :term:`fit`. Defined only when `X`
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has feature names that are all strings.
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.. versionadded:: 1.0
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n_outputs_ : int
@@ -1992,6 +1994,7 @@ class labels (multi-output problem).
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feature_names_in_ : ndarray of shape (`n_features_in_`,)
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Names of features seen during :term:`fit`. Defined only when `X`
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has feature names that are all strings.
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.. versionadded:: 1.0
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n_outputs_ : int
@@ -2309,6 +2312,7 @@ class ExtraTreesRegressor(ForestRegressor):
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feature_names_in_ : ndarray of shape (`n_features_in_`,)
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Names of features seen during :term:`fit`. Defined only when `X`
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has feature names that are all strings.
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.. versionadded:: 1.0
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n_outputs_ : int
@@ -2546,6 +2550,7 @@ class RandomTreesEmbedding(BaseForest):
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feature_names_in_ : ndarray of shape (`n_features_in_`,)
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Names of features seen during :term:`fit`. Defined only when `X`
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has feature names that are all strings.
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.. versionadded:: 1.0
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n_outputs_ : int

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