MemoryError SMOTENC

[DataSenseiAryan]

Hi,

Thanks for this wonderful package to handle class imbalance. I am trying to use SMOTENC but getting stuck in "memory error" during "fit_resample" method. I have already converted the dtypes and made them as small as possible even though this issue persist. On contrary if i use SMOTE it's working fine on the same data. I've 31 GB RAM and data shape is (98000,48), its around 6.5 MB on disk. I am using python 3.5 and imblearn version is '0.4.2'. can somebody suggest some hack to deal with issue. Thanks.

Originally posted by @atendra12 in #33 (comment)

Did you solved this sir? I am having same issue.

[glemaitre]

Basically, if you make SMOTE generate more samples that you have RAM, there is nothing that we can do. You might want to tune the sampling_strategy to limit the number of samples to create.