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. | |
| Naive Bayes classifier for categorical features. | |
| The Complement Naive Bayes classifier described in Rennie et al. (2003). | |
| Gaussian Naive Bayes (GaussianNB). | |
| Naive Bayes classifier for multinomial models. | 
