如何从imblearn中的RandomUnderSampler获取样本索引 [英] How to get sample indices from RandomUnderSampler in imblearn

问题描述

有人通过imblearn的RandomUnderSampler进行欠采样后，是否知道如何/如何获得所选样本的索引?以前有一个参数"return_indices = True"，现在已为新版本删除了该参数，并假定已将其替换为属性"sample_indices_".但是，如果我尝试使用该属性，它将无法正常工作(请参见下面的代码).我正在使用imblearn 0.6.2.版.

Does anyone know if/how one can get the indices of the selected samples after undersampling with imblearn's RandomUnderSampler? There used to be the argument "return_indices=True" which was now removed for the new version and supposingly was replaced with an attribute "sample_indices_". However, if I try to use that attribute, it doesn't work (see code below). I'm using imblearn version 0.6.2.

russs = RandomUnderSampler(random_state=0,sampling_strategy={6: 600}).fit(X_train_point,y_train_point)
russs.sample_indices_

AttributeError                            Traceback (most recent call last)
<ipython-input-78-8397ba40f19b> in <module>
      1 russs = RandomUnderSampler(random_state=0,sampling_strategy={6: 600}).fit(X_train_point,y_train_point)
----> 2 russs.sample_indices

AttributeError: 'RandomUnderSampler' object has no attribute 'sample_indices'

推荐答案

也面临这一问题.自版本0.4起不推荐使用:return_indices不推荐使用.请使用属性sample_indices _.我恢复到0.5.0，并且能够使用旧的return_indices = True参数.

Also facing this.. Despite the fact that the docs say Deprecated since version 0.4: return_indices is deprecated. Use the attribute sample_indices_ instead. I reverted to 0.5.0 and am able to use the old return_indices=True argument.

pip install imbalanced-learn==0.5.0

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