A newbie question: How should I formulate a classification problem using PyMC3?

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I have not seen an example of naive bayes with PyMC3, but that might also be a good approach here, right? The advantage (over, say, sklearn) would be having posterior estimates for each word. If you did not care about such estimates, then sklearn might be the right way to go.

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