[scikit-learn] Attribute Incremental learning

[Farzana Anowar]

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