(classify classifier bag-of-feats)
Tries to find the most likely class by computing each score for the given bag of features
Tries to find the most likely class by computing each score for the given bag of features
(train-classifier dataset)
Returns a Naive Bayes classifier. Accepts a dataset following: [[{:feat1 1 :feat2 4 :feat3 6} <class1>] [{:feat2 5 :feat3 1 :feat6 9} <class2>]] First, counts every occurrence of each feature for each class Then, aggregates these counts into probabilities
Returns a Naive Bayes classifier. Accepts a dataset following: [[{:feat1 1 :feat2 4 :feat3 6} <class1>] [{:feat2 5 :feat3 1 :feat6 9} <class2>]] First, counts every occurrence of each feature for each class Then, aggregates these counts into probabilities
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