Metadata-Version: 2.1
Name: pyflagr
Version: 1.0.7
Summary: PyFLAGR is a Python package for aggregating ranked preference lists from multiple sources.
Home-page: https://github.com/lakritidis/FLAGR
Author: Leonidas Akritidis
Author-email: lakritidis@ihu.gr
Maintainer: Leonidas Akritidis
Maintainer-email: lakritidis@ihu.gr
License: Apache
Keywords: rank aggregation,rank fusion,data fusion,unsupervised learning,information retrieval,metasearch,metasearch engines,borda count,condorcet,kendall,spearman
Platform: UNKNOWN
Description-Content-Type: text/markdown

The fusion of multiple ranked lists of elements into a single aggregate list is a well-studied research field with numerous applications in Bioinformatics, recommendation systems, collaborative filtering, election systems and metasearch engines.

FLAGR is a high performance, modular, open source library for rank aggregation problems. It implements baseline and recent state-of-the-art aggregation algorithms that accept ranked preference lists and generate a single consensus list of elements. A portion of these methods apply exploratory analysis techniques and belong to the broad family of unsupervised learning techniques.

PyFLAGR is a Python library built on top of FLAGR library core. It can be easily installed with pip and used in standard Python programs and Jupyter notebooks.


FLAGR Website: [https://flagr.site/](https://flagr.site/)

GitHub repository: [https://github.com/lakritidis/FLAGR](https://github.com/lakritidis/FLAGR)



