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I have tried the Orange Framework for Naive Bayesian classification. The methods are extremely unintuitive, and the documentation is extremely unorganized. Does anyone here have another framework to recommend?

I use mostly NaiveBayesian for now. I was thinking of using nltk's NaiveClassification but then they don't think they can handle continuous variables.

What are my options?

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The scikit-learn library has an implementation of Gaussian naive Bayesian classifier. The goal of this library is to provide a good trade off between code that is easy to read and use, and efficiency. It’s a vast library with large number of function and classes.

Hope this answer helps.

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