kalyaniuniversity/MC4
An implementation of Markov Chain Type 4 Rank Aggregation algorithm in Python
This tool helps consolidate multiple ranked lists of items into a single, comprehensive ranking. You provide several lists where different criteria have been used to rank items (e.g., products, candidates, research papers), and it outputs one unified list showing the overall preferred order. This is for data scientists, machine learning practitioners, or researchers who need to combine diverse ranking perspectives into one.
No commits in the last 6 months. Available on PyPI.
Use this if you have multiple different rankings for the same set of items and need to create a single, consolidated, and authoritative ranking.
Not ideal if you only have one ranking list or if your goal is to compare rankings rather than merge them.
Stars
26
Forks
6
Language
Python
License
GPL-3.0
Category
Last pushed
Aug 28, 2020
Commits (30d)
0
Dependencies
2
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