Metadata-Version: 2.1
Name: repliclust
Version: 0.0.3
Summary: Generate synthetic data with clusters.
Project-URL: Homepage, https://repliclust.org
Project-URL: Source, https://github.com/mzelling/repliclust
Project-URL: Bug Tracker, https://github.com/mzelling/repliclust/issues
Author-email: Mike Zellinger <mike.j.zellinger@gmail.com>
License-File: LICENSE.txt
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.9
Description-Content-Type: text/markdown

[![Tests](https://github.com/mzelling/repliclust/actions/workflows/tests.yml/badge.svg)](https://github.com/mzelling/repliclust/actions/workflows/tests.yml)
![Coverage](https://img.shields.io/endpoint?url=https://gist.githubusercontent.com/mzelling/7c9e8b5cc4b5124352fb58b0c753f79f/raw/bfe0b3e29f0f92f8acad677c47e864148fecefec/repliclust__heads_dev.json)

**repliclust** (pronounced *rep*-*lee*-*clust*, from *repli*cate and *clust*er)
is a Python package for generating synthetic data sets with clusters. 

The package is based on *data set archetypes*, high-level geometric
descriptions of whole classes of data sets. Our framework allows you to
generate similar but distinct data sets, making benchmarks more
informative and reproducible; **repliclust** builds upon SciPy and NumPy
and is meant to complement scikit-learn.

For a full documentation, visit the project website: [https://repliclust.org](https://repliclust.org).
