[scikit-learn] transfer learning doubt

[Praneet Singh]

 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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