sklearn.naive_bayes#
Naive Bayes algorithms.
These are supervised learning methods based on applying Bayes’ theorem with strong (naive) feature independence assumptions.
User guide. See the Naive Bayes section for further details.
Naive Bayes classifier for multivariate Bernoulli models. |
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Naive Bayes classifier for categorical features. |
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The Complement Naive Bayes classifier described in Rennie et al. (2003). |
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Gaussian Naive Bayes (GaussianNB). |
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Naive Bayes classifier for multinomial models. |