| Name | Elo-MMR-Py JSON |
| Version |
1.0.3
JSON |
| download |
| home_page | |
| Summary | Python bindings for Elo-MRR |
| upload_time | 2024-02-18 12:01:29 |
| maintainer | |
| docs_url | None |
| author | Aleksey Ropan |
| requires_python | |
| license | MIT License Copyright (c) 2024 Aleksey Ropan Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
rating
competition
skill
mmr
elo
trueskill
endure
glicko
python
rust
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Elo-MMR-Py
Python bindings for [Elo-MRR](https://github.com/EbTech/Elo-MMR).
## Installation
You can install using pip. This is the easiest way to install the package and its dependencies.
### Install from PyPI
To install the latest released version from PyPI, run the following command:
```
pip install Elo-MMR-Py
```
This will download and install the latest version of Elo-MMR-Py from PyPI.
### Install from Source
To install Elo-MMR-Py directly from the source code using Git, run:
```
pip install git+https://github.com/aropan/Elo-MMR-Py.git
```
#### Usage
After installation, you can import and use Elo-MMR-Py in your Python projects:
```python
from elo_mmr_py import Contest, rate
contests = [
Contest(standings=[('player_1', 0, 0), ('player_2', 1, 1), ('player_3', 2, 2)]),
Contest(standings=[('player_1', 0, 1), ('player_2', 0, 1), ('player_3', 2, 2)]),
Contest(standings=[('player_1', 0, 0), ('player_2', 1, 2), ('player_3', 1, 2)]),
Contest(standings=[('player_4', 0, 0), ('player_1', 1, 1), ('player_2', 2, 2), ('player_3', 3, 3)]),
Contest(standings=[('player_4', 0, 0), ('player_1', 1, 1), ('player_2', 2, 2), ('player_3', 3, 3)]),
]
rate(contests)
```
Output for example above:
```python
{'player_1': Player(name='player_1',
rating=1675,
events=[PyPlayerEvent(contest_index=0, rating_mu=1705, rating_sig=171, perf_score=1744, place=0),
PyPlayerEvent(contest_index=1, rating_mu=1663, rating_sig=130, perf_score=1618, place=0),
PyPlayerEvent(contest_index=2, rating_mu=1686, rating_sig=111, perf_score=1728, place=0),
PyPlayerEvent(contest_index=3, rating_mu=1678, rating_sig=100, perf_score=1660, place=1),
PyPlayerEvent(contest_index=4, rating_mu=1675, rating_sig=94, perf_score=1666, place=1)]),
'player_2': Player(name='player_2',
rating=1483,
events=[PyPlayerEvent(contest_index=0, rating_mu=1500, rating_sig=171, perf_score=1500, place=1),
PyPlayerEvent(contest_index=1, rating_mu=1555, rating_sig=130, perf_score=1618, place=0),
PyPlayerEvent(contest_index=2, rating_mu=1500, rating_sig=111, perf_score=1393, place=1),
PyPlayerEvent(contest_index=3, rating_mu=1487, rating_sig=100, perf_score=1459, place=2),
PyPlayerEvent(contest_index=4, rating_mu=1483, rating_sig=94, perf_score=1471, place=2)]),
'player_3': Player(name='player_3',
rating=1279,
events=[PyPlayerEvent(contest_index=0, rating_mu=1295, rating_sig=171, perf_score=1256, place=2),
PyPlayerEvent(contest_index=1, rating_mu=1270, rating_sig=130, perf_score=1242, place=2),
PyPlayerEvent(contest_index=2, rating_mu=1312, rating_sig=111, perf_score=1393, place=1),
PyPlayerEvent(contest_index=3, rating_mu=1291, rating_sig=100, perf_score=1240, place=3),
PyPlayerEvent(contest_index=4, rating_mu=1279, rating_sig=94, perf_score=1247, place=3)]),
'player_4': Player(name='player_4',
rating=1809,
events=[PyPlayerEvent(contest_index=3, rating_mu=1767, rating_sig=171, perf_score=1819, place=0),
PyPlayerEvent(contest_index=4, rating_mu=1809, rating_sig=130, perf_score=1855, place=0)])}
```
### Contributing
Welcome contributions! If you would like to contribute to the project, please fork the repository and submit a pull request.
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"description": "# Elo-MMR-Py\n\nPython bindings for [Elo-MRR](https://github.com/EbTech/Elo-MMR).\n\n## Installation\n\nYou can install using pip. This is the easiest way to install the package and its dependencies.\n\n### Install from PyPI\n\nTo install the latest released version from PyPI, run the following command:\n\n```\npip install Elo-MMR-Py\n```\n\nThis will download and install the latest version of Elo-MMR-Py from PyPI.\n\n### Install from Source\n\nTo install Elo-MMR-Py directly from the source code using Git, run:\n\n\n```\npip install git+https://github.com/aropan/Elo-MMR-Py.git\n```\n\n#### Usage\n\nAfter installation, you can import and use Elo-MMR-Py in your Python projects:\n\n```python\nfrom elo_mmr_py import Contest, rate\n\ncontests = [\n Contest(standings=[('player_1', 0, 0), ('player_2', 1, 1), ('player_3', 2, 2)]),\n Contest(standings=[('player_1', 0, 1), ('player_2', 0, 1), ('player_3', 2, 2)]),\n Contest(standings=[('player_1', 0, 0), ('player_2', 1, 2), ('player_3', 1, 2)]),\n Contest(standings=[('player_4', 0, 0), ('player_1', 1, 1), ('player_2', 2, 2), ('player_3', 3, 3)]),\n Contest(standings=[('player_4', 0, 0), ('player_1', 1, 1), ('player_2', 2, 2), ('player_3', 3, 3)]),\n]\nrate(contests)\n```\n\nOutput for example above:\n\n```python\n{'player_1': Player(name='player_1',\n rating=1675,\n events=[PyPlayerEvent(contest_index=0, rating_mu=1705, rating_sig=171, perf_score=1744, place=0),\n PyPlayerEvent(contest_index=1, rating_mu=1663, rating_sig=130, perf_score=1618, place=0),\n PyPlayerEvent(contest_index=2, rating_mu=1686, rating_sig=111, perf_score=1728, place=0),\n PyPlayerEvent(contest_index=3, rating_mu=1678, rating_sig=100, perf_score=1660, place=1),\n PyPlayerEvent(contest_index=4, rating_mu=1675, rating_sig=94, perf_score=1666, place=1)]),\n 'player_2': Player(name='player_2',\n rating=1483,\n events=[PyPlayerEvent(contest_index=0, rating_mu=1500, rating_sig=171, perf_score=1500, place=1),\n PyPlayerEvent(contest_index=1, rating_mu=1555, rating_sig=130, perf_score=1618, place=0),\n PyPlayerEvent(contest_index=2, rating_mu=1500, rating_sig=111, perf_score=1393, place=1),\n PyPlayerEvent(contest_index=3, rating_mu=1487, rating_sig=100, perf_score=1459, place=2),\n PyPlayerEvent(contest_index=4, rating_mu=1483, rating_sig=94, perf_score=1471, place=2)]),\n 'player_3': Player(name='player_3',\n rating=1279,\n events=[PyPlayerEvent(contest_index=0, rating_mu=1295, rating_sig=171, perf_score=1256, place=2),\n PyPlayerEvent(contest_index=1, rating_mu=1270, rating_sig=130, perf_score=1242, place=2),\n PyPlayerEvent(contest_index=2, rating_mu=1312, rating_sig=111, perf_score=1393, place=1),\n PyPlayerEvent(contest_index=3, rating_mu=1291, rating_sig=100, perf_score=1240, place=3),\n PyPlayerEvent(contest_index=4, rating_mu=1279, rating_sig=94, perf_score=1247, place=3)]),\n 'player_4': Player(name='player_4',\n rating=1809,\n events=[PyPlayerEvent(contest_index=3, rating_mu=1767, rating_sig=171, perf_score=1819, place=0),\n PyPlayerEvent(contest_index=4, rating_mu=1809, rating_sig=130, perf_score=1855, place=0)])}\n```\n\n### Contributing\n\nWelcome contributions! If you would like to contribute to the project, please fork the repository and submit a pull request.\n",
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