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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