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
_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
