Player Ranking Algorithm benchmarks
Project description
Features
A common interface for ranking algorithms
Elo (Chess & Generic)
Glicko2
NoSkill (similar to Trueskill, i.e bayesian inference on a bipartite graph)
Synthetics benchmarks
Basic match maker
Matchup replay to calibrate and experiment on real data
Model calibration using black-box optimizer Orion
Examples
ranker = ChessElo()
p1 = ranker.new_player((1613 - sub) / div)
p2 = ranker.new_player((1609 - sub) / div)
m1 = Match((p1, 0), (p2, 1)), # p1 lost (lower score)
win_prob = ranker.win(m)
ranker.update(m)
# P1 lost so its skill got updated down
new_skill = p1.skill() # 1603.19WIP
NoSkill2
Dota2 extracted matches
pip install ranked
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