本文介绍了RandomUnderSampler'对象没有属性'fit_resample'的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我正在使用imblearn中的RandomUnderSampler，但是出现以下错误.有任何想法吗?谢谢
I am using RandomUnderSampler from imblearn, but I get the following error. Any ideas? Thanks
from imblearn.under_sampling import RandomUnderSampler
print('Initial dataset shape %s' % Counter(y.values.squeeze()))
rus = RandomUnderSampler(random_state=42)
X_undersampled, y_undersampled = rus.fit_resample(X, y)
y_undersampled = y_undersampled.squeeze()
输出:
Initial dataset shape Counter({0: 2499739, 1: 1558})
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-18-4fe9dcfbd68e> in <module>
1 print('Initial dataset shape %s' % Counter(y.values.squeeze()))
2 rus = RandomUnderSampler(random_state=42)
----> 3 X_undersampled, y_undersampled = rus.fit_resample(X, y)
4 y_undersampled = y_undersampled.squeeze()
5
AttributeError: 'RandomUnderSampler' object has no attribute 'fit_resample'
我正在使用的主要库:
imbalanced-learn==0.3.3
pandas==0.24.2
numpy==1.15.4
scikit-learn==0.19.2
推荐答案
方法fit_resample最近被引入到imbalanced-learn API中.更新imbalanced-learn或改用fit_sample.
The method fit_resample was introduced lately to imbalanced-learn API. Either update imbalanced-learn or use fit_sample instead.
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