ranked
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() # 1603.19
WIP
NoSkill2
Dota2 extracted matches
pip install ranked
Metadata
Release files for ranked 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| ranked-1.0.2.tar.gz | 20.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ranked-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 43.9 kB
Release files / ranked-1.0.2.tar.gz
| Download URL | ranked-1.0.2.tar.gz |
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| Size | 20.2 kB |
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| Size | 23.7 kB |
| Tags | Python 3 |
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