[scikit-learn] Questions about partial_fit and the Incremental library in Sci-kit learn

[Farzana Anowar]

Hello Sir/Madam,

I subscribed to the link you sent me.


I am posting my question again:

This Is Farzana Anowar, a Ph.D. candidate in University of Regina. 
Currently, I'm working to develop a model that learns incrementally from 
non-stationary data. I have come across an Incremental library in 
sci-kit learn that actually allows to do that using partial_fit. I have 
searched a lot for the detailed information about this 'incremental' 
library and 'partial_fit', however, I couldn't find any.

It would be great if you could provide me with some detailed information 
about these two regarding how they actually work. For example, If we 
take SGD as a classifier, the incremental library will allow me to take 
chunks/batches of data. My question is: Do this incremental library 
train (using parial_fit) the whole batch at a time and then produce a 
classification performance or it takes a batch and trains each instance 
at a time from the batch.

Thanks in advance!

-- 
Regards,

Farzana Anowar