dill

What are the pitfalls of using Dill to serialise scikit-learn/statsmodels models?

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I’m the dill author. dill was built to do exactly what you are doing… (to persist numerical fits within class instances for statistics) where these objects can then be distributed to different resources and run in an embarrassingly parallel fashion. So, the answer is yes — I have run code like yours, using mystic and/or … Read more

What can multiprocessing and dill do together?

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multiprocessing makes some bad choices about pickling. Don’t get me wrong, it makes some good choices that enable it to pickle certain types so they can be used in a pool’s map function. However, since we have dill that can do the pickling, multiprocessing’s own pickling becomes a bit limiting. Actually, if multiprocessing were to … Read more

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