sklearn-crfsuite
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Multicore Training
Is it possible to use multiple cores while training to speed up the training time. I imagine there must exist some optimisation for the numerical algorithms that can run on multiple cores. Is there of using Wapiti https://github.com/adsva/python-wapiti to speed up training?
I've run this into a similar use case, where parallelization will be useful. Not sure, if there's a solution yet.