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partial_fit method? #5

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graus opened this issue Aug 7, 2013 · 4 comments
Open

partial_fit method? #5

graus opened this issue Aug 7, 2013 · 4 comments
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@graus
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graus commented Aug 7, 2013

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

@ghost ghost assigned larsmans Aug 7, 2013
@larsmans
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larsmans commented Aug 7, 2013

Ack. Patches are appreciated.

@kmike
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kmike commented Aug 11, 2013

FYI: #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?

@larsmans
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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.)

@bboalimoe
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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!!!

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