[scikit-learn] Attribute Incremental learning

[Farzana Anowar]

On 2020-01-16 08:36, Max Halford wrote:
> Hello Farzana,
> 
> You might want to check out scikit-multiflow [1] and creme [2] (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
>> https://mail.python.org/mailman/listinfo/scikit-learn
> 
> --
> 
> Max Halford
> 
> +336 28 25 13 38
> 
> Links:
> ------
> [1] https://scikit-multiflow.github.io/
> [2] https://creme-ml.github.io/
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> scikit-learn at python.org
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Hello Max,

Thanks a lot.
-- 
Best Regards,

Farzana Anowar,
PhD Candidate
Department of Computer Science
University of Regina