analyticalmindsltd/smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
Jupyter NotebookMIT
Issues
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I got this error when I used polynom_fit_SMOTE.
#86 opened by YanYes - 0
Can smote_variants deal with 3_class data?
#82 opened by autogluonisgod - 0
Remove warnings
#80 opened by gykovacs - 2
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Support for python 3.11
#78 opened by detrin - 2
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How do I use this package with image data?
#13 opened by apatra9 - 3
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Question: Combining these with Undersampling
#59 opened by BradKML - 0
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Why I get this error when I use smote_variants?
#43 opened by ppleumyy - 1
Categorical Variables
#41 opened by khanwa - 0
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Integration with imbalanced-learn
#14 opened by glemaitre - 0
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when use SOMO,Why did the two types of samples not reach a balance and the number did not change
#39 opened by leaphan - 1
Minimum number of rows in a class
#35 opened by RyanMetz - 3
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Citation format
#33 opened by sakethbachu - 8
Comparison of some SMOTE Variants without considering the entire dataset
#23 opened by shwetashrmgithub - 3
how smote_variants work with incremental classifier with large amount of data
#17 opened by arjunpuri7 - 2
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evaluation metrics
#15 opened by arjunpuri7 - 4
overflow encountered in double_scalars
#11 opened by iYuqinL - 5
How do I use it along sklearn's Pipeline?
#8 opened by roperi - 10
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