Hello Sir/Madam,
I am going through the incremental learning algorithm in Scikit-learn.
SGD in sci-kit learn is such a kind of algorithm that allows learning
incrementally by passing chunks/batches. Now my question is: does
sci-kit learn keeps all the batches for training data in memory? Or it
keeps chunks/batches in memory up to a certain amount of size? Or it
keeps only one chunk/batch while training in memory and removes the
other trained chunks/batches after training? Does that mean it suffers
from catastrophic forgetting?
Thanks!
--
Regards,
Farzana Anowar
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