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Limiting number of features for BayesClassifier?
What is the correct way to limit the number features? Sort of similar to the max_features in SciKit's CountVectorizer. I was looking at the API for the BayesClassifier and it only takes stemmer and smoothing as parameters.
i found that its unstable after 1000