[scikit-learn] transfer learning doubt

[Farzana Anowar]

On 2020-03-19 00:11, Praneet Singh wrote:
> I am training a SGD Classifier with some training dataset which is
> temporary and will be lost after sometime. So I am planning to save
> the model in pickle file and reuse it and train again with some
> another dataset that arrives. But It forgets the previously learned
> data.
> 
> As far as I researched in google, tensorflow model allows transfer
> learning and not forgetting the previous learning but is there any
> other way with sklearn model to achieve this??
> any help would be appreciated
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Did you use incremental estimator and partial _fit? If not, try to use 
them. Should work.

Another option is to us deep learning and store the weights for the 
first model and initialize the second model with that weight and keep 
doing it for the rest of the models.
-- 
Best Regards,

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