DOC fix the strategy used for multiclass in IHT (scikit-learn-contrib…

…#1013)
mr-c · Jul 10, 2023 · a0d6fbf · a0d6fbf
1 parent 6622afb
commit a0d6fbf
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/imblearn/under_sampling/_prototype_selection/_instance_hardness_threshold.py b/imblearn/under_sampling/_prototype_selection/_instance_hardness_threshold.py
@@ -83,8 +83,8 @@ class InstanceHardnessThreshold(BaseUnderSampler):
     -----
     The method is based on [1]_.
 
-    Supports multi-class resampling. A one-vs.-rest scheme is used when
-    sampling a class as proposed in [1]_.
+    Supports multi-class resampling. We will go through each individual class to select
+    the samples with the highest probability to be correctly classified.
 
     References
     ----------