My data doesn't fit into memory can I do :
model=my_modelfor i in range(20) model.fit(X_i,Y_i)
for i in range(20)
This will delete the first 19 fit. and keep only the last one. How can I avoid this? Can I retrain a model saved and loaded? Thank you
Some models have a "warm_start" parameter, where it can initialize model parameters with the previous solution from fit().
See for instance SGDClassifier
Hope this answer helps you! For more details, Scikit Learn Algorithm Cheat Sheet.