Comments (4)
Thank you for your interest! You can find the bibtex file for both papers about the project by scrolling down the front page of the repo, or alternatively in the README.rst
file. Let me know if you need further information!
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Sorry, I just see that with the latest edit twondays ago I meneged to revert the README.srt,this is why you could not find the citation information, let me fix this, and coming back to you in a couple of hours.
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Please find the citation information on the fixed README page.
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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
- 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
- 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?
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