Metadata-Version: 2.1
Name: sklearn-kmedoids-on-string
Version: 0.3.0.dev0
Summary: A set of tools for scikit-learn.
Home-page: https://github.com/mln-wave/scikit-learn-extra
License: new BSD
Download-URL: https://github.com/mln-wave/scikit-learn-extra
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
Provides-Extra: tests
Provides-Extra: docs
License-File: LICENSE

.. -*- mode: rst -*-



sklearn-kmedoids-string
=======================================================================

This repo is forked from scikit-learn-extra, and removed validations to make kmedoids to work with string data for custom callable distance metric.

.. _scikit-learn: https://scikit-learn.org

scikit-learn-extra is a Python module for machine learning that extends scikit-learn. It includes algorithms that are useful but do not satisfy the scikit-learn `inclusion criteria <https://scikit-learn.org/stable/faq.html#what-are-the-inclusion-criteria-for-new-algorithms>`_, for instance due to their novelty or lower citation number.

This repo forked from scikit-learn-extra, and removed validations to make kmedoids to workd with string data for custom callable distance metric.

Installation
------------

Dependencies
^^^^^^^^^^^^

sklearn-kmedoids-string requires,

- Python (>=3.7)
- scikit-learn (>=0.24), and its dependencies


Installation
^^^^^^^^^^^^


Install from PyPi with,

.. code::

   pip install sklearn-kmedoids-on-string==0.3.0.dev0





