CITATION.cff

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "auto-bayesian: interpretable AutoML for Bayesian-network classifiers"
abstract: "A config-driven Python library and CLI that trains interpretable Bayesian-network classifiers from relational tabular data, with automatic candidate selection (Naive Bayes, TAN, Hill-Climb), deterministic preprocessing, and human-readable conditional probability tables."
type: software
version: 0.1.0
date-released: 2026-06-17
url: "https://github.com/SantanderAI/auto-bayesian"
repository-code: "https://github.com/SantanderAI/auto-bayesian"
license: Apache-2.0
authors:
  - name: "Santander AI Lab"
keywords:
  - bayesian-network
  - automl
  - interpretable-ml
  - explainable-ai
  - responsible-ai
  - tabular-data