PyRanker

Rank aggregation library in Python. PyRanker have implemented 12 different rank aggregation algorithms.

The Rank Aggregation

The rank aggregation problem is to combine many different rank orderings on the same set of candidates, or alternatives, in order to obtain a “better” ordering.

Technical Pre-requisites

• Python 2.7

Rank Aggregation Algorithms

PyRanker have the following algorithms implemented:

• FootRule
• Borda
• Copeland
• Median Rank
• MScores
• Reciprocal
• CombANZ
• CombMAX
• CombMIN
• CombMED
• CombMNZ
• CombSUM

How to Install

In Linux/MacOS:

1. Install pip
2. Within a console, go to the PyRanker project folder.
3. Run: pip install -r requirements.txt

Examples

• Loading Ranks:

datasets = ['datasets/sample_1.txt', 'datasets/sample_2.txt', 'datasets/sample_3.txt']
rl = LoadFromFile.load_ranks(datasets)