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1 parent c6628a0 commit 8ccd988Copy full SHA for 8ccd988
sklearn/ensemble/_iforest.py
@@ -85,7 +85,7 @@ class IsolationForest(OutlierMixin, BaseBagging):
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- If float, then draw `max(1, int(max_features * n_features_in_))` features.
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Note: using a float number less than 1.0 or integer less than number of
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- features will enable feature subsampling and leads to a longerr runtime.
+ features will enable feature subsampling and leads to a longer runtime.
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bootstrap : bool, default=False
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If True, individual trees are fit on random subsets of the training
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