Comments (1)
Yes, it has been just added. I couldn't create the 0.7.2 release yet as one of the dependencies (metric-learn) struggles with supporting the latest numpy, but it should work by cloning from this repo. As soon as metric-learn is fixed (as far as I know it already is, they just did not release to PyPI yet), I will also release 0.7.2 to PyPI.
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Related Issues (20)
- 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
- Could I apply this package to the time-series raw data?
- 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
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- OversamplingClassifier does not work with probability-based metrics HOT 3
- Remove warnings
- Can smote_variants deal with 3_class data?
- I got this error when I used polynom_fit_SMOTE.
- model hyperparameters be adjusted before and after oversampling?
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