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pyproject.toml
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30 lines (27 loc) · 857 Bytes
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[tool.poetry]
name = "machine-learning-in-chess"
version = "0.1.0"
description = "A final year project for the University of Exeter, using data mining and machine learning to understand patterns in chess games over the scale of millions of games (~350 GB). Ranked 1st in the cohort for overall grade (85%)."
authors = ["Isaac Cheng <47993930+IsaacCheng9@users.noreply.github.com>"]
readme = "README.md"
[tool.poetry.dependencies]
python = "~3.11.0"
chess = "1.9.4"
dask = "2023.2.0"
matplotlib = "3.7.0"
numpy = "1.24.2"
pandas = "1.5.3"
pexpect = "4.8.0"
scikit-learn = "1.5.0"
scipy = "1.10.1"
seaborn = "0.12.2"
stockfish = "3.28.0"
tqdm = "4.66.3"
ipykernel = "^6.29.4"
pyarrow = "^15.0.2"
[[tool.poetry.packages]]
include = "machine_learning_in_chess"
from = "src"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"