2012/1/19 ert <[email protected]>
> I wanted to train a multinomialnb classifier on a training set containing
> 18k features each containing about 1.8M examples .. Unfortunately I do not
> have enough memory ( I have 4G) on my system to create such an array...Is
> there a sparse implementation of Naive Bayes which can be used? or is there
> any other way I could accomplish this task?
>
MultinomialNB supports scipy.sparse matrices out of the box, so that should
be no problem if your samples array is sparse enough.
--
Lars Buitinck
Scientific programmer, ILPS
University of Amsterdam
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