From 047a059aa624d58e74fcecbbd809cf20ffdfe209 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Gy=C3=B6rgy=20Kov=C3=A1cs?= Date: Mon, 2 Oct 2023 23:14:12 +0200 Subject: [PATCH] Update examples.rst --- docs/examples.rst | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/docs/examples.rst b/docs/examples.rst index fa47fd8..2d095c6 100644 --- a/docs/examples.rst +++ b/docs/examples.rst @@ -73,8 +73,7 @@ Multiclass oversampling is highly ambiguous task, as balancing various classes m dataset= datasets.load_wine() - oversampler= sv.MulticlassOversampling(oversampler='distance_SMOTE', - oversampler_params={}) + oversampler= sv.MulticlassOversampling(oversampler='distance_SMOTE', oversampler_params={}) X_samp, y_samp= oversampler.sample(dataset['data'], dataset['target'])