[scikit-learn] Attribute Incremental learning

Max Halford maxhalford25 at gmail.com
Thu Jan 16 09:36:33 EST 2020

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 <fad469 at 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
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> scikit-learn at python.org
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Max Halford
+336 28 25 13 38
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