In practice, fractional counts such as tf-idf may also work. Multinomial distribution normally requires integer feature counts. The multinomial Naive Bayes classifier is suitable for classification withĭiscrete features (e.g., word counts for text classification). Naive Bayes classifier for multinomial models. MultinomialNB ( *, alpha = 1.0, fit_prior = True, class_prior = None ) ¶ Sklearn.naive_bayes.MultinomialNB ¶ class sklearn.naive_bayes.
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