tpot/pyproject.toml at main · EpistasisLab/tpot · GitHub

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[build-system]
requires = ["setuptools>=61", "setuptools_scm>=7.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "TPOT"
description = "Tree-based Pipeline Optimization Tool"
readme = "README.md"
requires-python = ">=3.10,<3.14"
license = { text = "LGPL-3.0" }
authors = [
    { name = "Pedro Ribeiro" }
]
keywords = [
    "pipeline optimization",
    "hyperparameter optimization",
    "data science",
    "machine learning",
    "genetic programming",
    "evolutionary computation"
]
classifiers = [
    "Intended Audience :: Science/Research",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Topic :: Scientific/Engineering :: Artificial Intelligence"
]
dependencies = [
    "numpy>=1.26.4",
    "scipy>=1.3.1",
    "scikit-learn>=1.6",
    "update_checker>=0.16",
    "tqdm>=4.36.1",
    "stopit>=1.1.1",
    "pandas>=2.2.0",
    "joblib>=1.1.1",
    "xgboost>=3.0.0",
    "matplotlib>=3.6.2",
    "traitlets>=5.8.0",
    "lightgbm>=3.3.3",
    "optuna>=3.0.5",
    "networkx>=3.0",
    "dask>=2024.4.2",
    "distributed>=2024.4.2",
    "dask-expr>=1.0.12",
    "dask-jobqueue>=0.8.5",
    "func_timeout>=4.3.5",
    "configspace>=1.1.1",
    "dill>=0.3.9",
    "seaborn>=0.13.2",
]

dynamic = ["version"]

[project.optional-dependencies]
skrebate = ["skrebate>=0.3.4"]
mdr = ["scikit-mdr>=0.4.4"]
sklearnex = ["scikit-learn-intelex>=2023.2.1"]
amltk = ["amltk>=1.12.1"]
testing = [
    "pytest>=6.0",
    "pytest-cov>=2.0",
    "mypy>=0.910",
    "flake8>=3.9",
    "tox>=3.24"
]

[project.urls]
Homepage = "https://github.com/EpistasisLab/tpot"

[project.scripts]
tpot = "tpot:main"

[tool.setuptools]
packages = ["tpot"]
zip-safe = true

[tool.setuptools.package-data]
tpot = ["py.typed"]

[tool.flake8]
max-line-length = 120

[tool.setuptools_scm]
# setuptools_scm gets the version from Git tags, e.g git tag v1.1.0
# then python -m build embeds the version into the package