Closed alessiobernardo closed 3 years ago
I also added two other techniques called RebalanceStream [2] and CSMOTE [3].
[2]: Alessio Bernardo, Albert Bifet, Emanuele Della Valle. Incremental Rebalancing Learning \on Evolving Data Streams. In ICDM Workshop, 2020, in press. [3]: Alessio Bernardo, Heitor Murilo Gomes, Jacob Montiel, Bernhard Pfharinger, Albert Bifet, Emanuele Della Valle. C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams. In BigData, IEEE, 2020, in press.
Thanks for the pull request!
As all classifiers are for imbalanced data, please put them into a new folder "imbalanced" inside "meta", to make this clear.
Please include only java files in the pull request. Please use clear names for the classifiers, for example "OnlineBoosting.java" is too generic.
Thanks!
Hi Albert!
I added the imbalanced folder and I changed the OnlineBoosting algorithm name in OnlineAdaBoost.
Thank you!
Thanks Alessio! Can you remove all the files that are not .java in the pull request? Can you add unit tests for the new classifiers?
Thanks, Albert
Sure! I did it!
The aim of the request is to add 6 new meta classifier introduced in [1]. They are: OnlineAdaC2, OnlineBoosting, OnlineCSB2, OnlineRUSBoost, OnlineSMOTEBagging and OnlineUnderOverBagging.
[1]: B. Wang and J. Pineau, "Online Bagging and Boosting for Imbalanced Data Streams," in IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 12, pp. 3353-3366, 1 Dec. 2016. doi: 10.1109/TKDE.2016.2609424