Add new data to model sklearn: SGD
Do you think it has other way to do a first learning and then add new data more important for the model? Keras?
Thanks guys
I made models with sklearn, something like this:
clf = SGDClassifier(loss="log")
clf.fit(X, Y)
And then now I would like to add data to learn for this model, but with more important weight. I tried to use partial_fit with sample_weight bigger but not working. Maybe I don't use fit and partial_fit as good, sorry I'm beginner...
If someone know how to add new data I could be happy to know it :)
Thanks for help.