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partial_fit method?

Open graus opened this issue 11 years ago • 4 comments

I consider this a point or matter of discussion, debate, or dispute: the implementation of a partial_fit method for incremental learning.

graus avatar Aug 07 '13 14:08 graus

Ack. Patches are appreciated.

larsmans avatar Aug 07 '13 14:08 larsmans

FYI: https://github.com/larsmans/seqlearn/pull/10 aims to implement something similar to partial_fit, but with a very different API. What should partial_fit method do exactly? Should it learn on partial data or should it do a "warm start", or both?

kmike avatar Aug 11 '13 21:08 kmike

partial_fit is a method that some scikit-learn estimators have (traditionally SGDClassifier and MiniBatchKMeans, since 0.14 also Naive Bayes). They allow incremental learning: after each partial_fit, you have a functioning estimator/model, which the next partial fit will adjust. (Similar to warm starts.)

larsmans avatar Aug 12 '13 08:08 larsmans

hello,can i ask u one question that how to speed up the learning and predicting precess... or can you recommend a production version of supervised hmm sequence learning model~ like mahout's hmm~~~~ thanks a lot!!!

bboalimoe avatar Apr 19 '15 08:04 bboalimoe