Related Issues (20)
- DEAGO : negative values for categorical features inside the data HOT 3
- Minimum number of rows in a class HOT 1
- when use SOMO,Why did the two types of samples not reach a balance and the number did not change HOT 2
- provided out is the wrong size for the reduction
- Categorical Variables HOT 1
- How to vary the "proportion" parameter - MulticlassOversampling class
- Why I get this error when I use smote_variants? HOT 9
- Question HOT 2
- Question: Combining these with Undersampling HOT 3
- Question: Regarding time complexity of Oversamplers and "Noise Filters" HOT 1
- GridSearchCV classifier parameters: int vs list HOT 3
- Implement 'verbose' parameter (feature request) HOT 2
- sv.MulticlassOversampling error for getattr() function HOT 2
- Error: Dimension of X_train and y_train is not the same ! HOT 2
- OversamplingClassifier does not work with probability-based metrics HOT 3
- Support for python 3.11 HOT 1
- Remove warnings
- Can smote_variants deal with 3_class data?
- I got this error when I used polynom_fit_SMOTE.
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from smote_variants.