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EpistasisLab / tpot UNCLAIMED

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

0 0 1 Jupyter Notebook
[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