Metadata-Version: 2.1
Name: sklearn-mlmlm
Version: 1.0.0
Summary: A python and sklearn compatible implementation of ML-MLM.
Author: Daniel E Fredriksen
Author-email: dfredriksen@quantyra.org
Requires-Python: >=3.10,<3.13
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
Requires-Dist: joblib (>=1.3.1,<2.0.0)
Requires-Dist: numpy (>=1.25.1,<2.0.0)
Requires-Dist: scikit-learn (>=1.3.0,<2.0.0)
Requires-Dist: scipy (>=1.11.1,<2.0.0)
Description-Content-Type: text/x-rst

.. -*- mode: rst -*-

.. |ReadTheDocs| image:: https://readthedocs.org/projects/scikit-mlmlm/badge/?version=latest
.. _ReadTheDocs: https://scikit-mlmlm.readthedocs.io/en/latest/?badge=latest

scikit-mlmlm - A python and sklearn compatible implementation of ML-MLM.
========================================================================

`scikit-mlmlm` is a Python and scikit-learn compatible implementation of Minimal Learning Machine - Multi Label Classifier, based on the Arxiv paper `Minimal Learning Machine for Multi-Label Learning <https://arxiv.org/abs/2305.05518>`_ and the GitHub repository https://github.com/jookriha/ml-mlm.

`Example Implementation: <https://colab.research.google.com/drive/1g5IpGNUSsZvE_bKCN3vXX8gxIRnjHmxC?usp=sharing>`_

A quick demo can be found in `ml_mlmlm_demo.py` at the root of the project.

