Multinomial Naive Bayes Classifier. Multivariate bernoulli event model. For class j word i at a word frequency of f.
Multinomialnb alpha 1 0 fit prior true class prior none source. Multivariate bernoulli event model. Multinomial naive bayes classifier combining probability distribution of p with fraction of documents belonging to each class.
Multivariate bernoulli event model.
The multivariate event model is referred to as multinomial naive bayes. The features predictors used by the classifier are the frequency of the words present in the document. The multinomial naive bayes classifier is suitable for classification with discrete features e g word counts for text classification. For class j word i at a word frequency of f.
