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1 parent 194ccf0 commit 3960305Copy full SHA for 3960305
imblearn/under_sampling/_prototype_selection/_one_sided_selection.py
@@ -45,7 +45,10 @@ class OneSidedSelection(BaseCleaningSampler):
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be used.
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n_seeds_S : int, default=1
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- Number of samples to extract in order to build the set S.
+ Number of samples from the majority class to add randomly to the set
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+ with all minority observations before training the first KNN model. In
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+ the original implementation is 1, but more samples can be added with this
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+ parameter.
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{n_jobs}
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