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Abile

State-space model perspective on rating systems (pairwise comparisons).

Install / Use

/learn @SamDuffield/Abile
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

abile

abile, italian for skilful

Check out the accompanied paper, now published at JRSSSC: A State-Space Perspective on Modelling and Inference for Online Skill Rating.

Install

Clone the repo and then run

pip install .

from root to install abile. Or for editable mode use

pip install -e .

Data

Tennis data sourced from tennis-data.co.uk

Football data sourced from football-data.co.uk and github.com/martj42

Chess data from github.com/huffyhenry

Citation

@article{duffield2024statespace,
    author = {Duffield, Samuel and Power, Samuel and Rimella, Lorenzo},
    title = "{A state-space perspective on modelling and inference for online skill rating}",
    journal = {Journal of the Royal Statistical Society Series C: Applied Statistics},
    year = {2024},
    month = {08},
    issn = {0035-9254},
    doi = {10.1093/jrsssc/qlae035},
    url = {https://doi.org/10.1093/jrsssc/qlae035},
    eprint = {https://academic.oup.com/jrsssc/advance-article-pdf/doi/10.1093/jrsssc/qlae035/58837659/qlae035.pdf},
}

Related Skills

View on GitHub
GitHub Stars21
CategoryProduct
Updated2mo ago
Forks1

Languages

Python

Security Score

90/100

Audited on Jan 8, 2026

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