scikit-bayes#
Date: Feb 19, 2026 Version: 0.1.4
Useful links: Source Repository | Issues & Ideas |
scikit-bayes is a Python package that extends scikit-learn with a suite of
Bayesian Network Classifiers. The primary goal is to provide robust,
scikit-learn-compatible implementations of advanced Bayesian classifiers that
are not available in the core library.
Key Features:
MixedNB: Naive Bayes for mixed data types (Gaussian, Categorical, Bernoulli)
AnDE Family: Averaged n-Dependence Estimators that relax the independence assumption
Hybrid Models: ALR and WeightedAnDE for discriminative learning
Information about installation and basic usage of scikit-bayes.
Learn how to create your own scikit-learn compatible estimators.
Complete reference documentation for all estimators and utilities.
Gallery of examples demonstrating AnDE, MixedNB, and more.