pyproject.toml

[build-system]
requires = ["setuptools>=45", "wheel", "setuptools-scm>=6.2"]
build-backend = "setuptools.build_meta"

[project]
name = "deeptlf"
version = "0.3.1"
description = "Deep Tabular Learning Framework"
readme = "README.md"
license = {file = "LICENSE"}
authors = [
    {name = "Vadim Borisov", email = "vadim@tabularis.ai"}
]
maintainers = [
    {name = "Vadim Borisov", email = "vadim@tabularis.ai"}
]
requires-python = ">=3.7"
keywords = ["deep-learning", "tabular-data", "machine-learning", "neural-networks"]
classifiers = [
    "Development Status :: 4 - Beta",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.7",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Topic :: Scientific/Engineering :: Artificial Intelligence"
]
dependencies = [
    "numpy>=1.19.0",
    "torch>=1.7.0",
    "scikit-learn>=0.24.0",
    "xgboost>=1.3.0",
    "tqdm>=4.50.0"
]

[project.optional-dependencies]
test = [
    "pytest>=7.0.0",
    "pytest-cov>=4.0.0",
]
examples = [
    "jupyter>=1.0.0",
    "matplotlib>=3.3.0",
]

[project.urls]
Homepage = "https://github.com/unnir/deeptlf"
Documentation = "https://github.com/unnir/deeptlf#readme"
Repository = "https://github.com/unnir/deeptlf.git"
Issues = "https://github.com/unnir/deeptlf/issues"

[tool.setuptools]
packages = ["deeptlf"]

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
addopts = "-v --cov=deeptlf --cov-report=term-missing"