pyproject.toml

[build-system]
requires = ["setuptools>=61", "wheel>=0.31.0", "setuptools_scm[toml]>=3.4"]
build-backend = "setuptools.build_meta"

[project]
name = "tabular_ml"
dynamic = ["version", "readme"]

description = "This library wraps popular tabular regression/classification model enabling rapid evaluation and optimization."
authors = [
    {name = "Xavier Nogueira", email = "xavier.rojas.nogueira@gmail.com"},
]

requires-python = ">=3.11"
keywords = [
    'machine-learning',
    'pipeline',
    'factory',
    'tabular',
    'regression',
    'classification',
]

classifiers = [
    "Development Status :: 5 - Production/Stable",
    "Intended Audience :: Science/Research",
    "Operating System :: OS Independent",
    "License :: OSI Approved :: BSD License",
    "Programming Language :: Python",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.11",
    "Topic :: Scientific/Engineering",
]

dependencies = [
    'pandas',
    'numpy',
    'scipy',
    'scikit-learn',
    'optuna',
    'xgboost',
    'catboost',
    'lightgbm',
]

[tool.setuptools.packages.find]
where = ["src"]
include = ["tabular_ml*"]

[tool.setuptools.dynamic]
version = {attr = "tabular_ml.__version__"}
readme = {file = "pypi_readme.md"}