Metadata-Version: 2.1
Name: bayesian-classifier
Version: 1.0.1
Summary: Python library for training and testing Bayesian classifiers
Project-URL: Homepage, https://github.com/mathbarc/bayesian-classifier
Keywords: bayesian,classifier
Requires-Python: >=3.8
Description-Content-Type: text/x-rst
Requires-Dist: click (>=8.1.3)
Requires-Dist: numpy (>=1.23.5)
Provides-Extra: dev
Requires-Dist: pylint (>=2.10) ; extra == 'dev'
Requires-Dist: black (>=23.3.0) ; extra == 'dev'
Provides-Extra: docs
Requires-Dist: sphinx (>=5.0.1) ; extra == 'docs'
Requires-Dist: sphinx-markdown-builder ; extra == 'docs'
Requires-Dist: sphinx-rtd-theme (>=1.0.0) ; extra == 'docs'
Provides-Extra: tests
Requires-Dist: pytest (>=7.3.1) ; extra == 'tests'
Requires-Dist: pytest-cov (>=4.0.0) ; extra == 'tests'

===================
Bayesian Classifier
===================

The bayesian classifier utilizes Bayes Theorem to implement a categorical classifier. The current package contains classes that implement both Full Bayes classifier and Naïve Bayes Classifier, providing a CLI interface as well.

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Runing Bayes Classifier on your data
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.. code-block:: bash

    bayesian_classifier full_bayes train resource/iristrain3.txt --sep ","

.. code-block:: bash

    bayesian_classifier full_bayes test full_bayes.model resource/iristest3.txt
