Hello Farzana, You might want to check out scikit-multiflow <https://scikit-multiflow.github.io/> and creme <https://creme-ml.github.io/> (I'm the author).
Kind regards. On Tue, 14 Jan 2020 at 16:59, Farzana Anowar <fad...@uregina.ca> wrote: > Hello, > > This is Farzana. I am trying to understand the attribute incremental > learning ( or virtual concept drift) which is every time when a new > feature will be available for a real-time dataset (i.e. any online > auction dataset) a classifier will add that new feature with the > existing features in a dataset and classify the new dataset (with > previous features and new features) incrementally. I know that we can > convert a static classifier to an incremental classifier in > scikit-learn. However, I could not find any library or function for > attribute incremental learning or any detail information. It would be > great if anyone could give me some insight on this. > > Thanks! > -- > Best Regards, > > Farzana Anowar, > PhD Candidate > Department of Computer Science > University of Regina > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > -- Max Halford +336 28 25 13 38
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