pyproject.toml

[build-system]
requires = ["setuptools>=61.2.0", "wheel", "setuptools_scm[toml]>=3.4.3"]
build-backend = "setuptools.build_meta"

[project]
name = "AutoXGBoost"
authors = [{name = "KOLANICH"}]
description = "Semi-automatically trains, optimizes, converts and imports XGBoost models."
readme = "ReadMe.md"
keywords = ["xgboost", "data science", "machine learning"]
license = {text = "Unlicense"}
classifiers = [
	"Programming Language :: Python",
	"Programming Language :: Python :: 3",
	"Development Status :: 4 - Beta",
	"Environment :: Other Environment",
	"Intended Audience :: Developers",
	"License :: Public Domain",
	"Operating System :: OS Independent",
	"Topic :: Software Development :: Libraries :: Python Modules",
]
requires-python = ">=3.4"
dependencies = [
	"numpy",
	"scipy",
	"pandas",
	"scikit_learn",
	"tqdm", # @ git+https://github.com/tqdm/tqdm.git
	"lazily", # @ git+https://codeberg.org/KOLANICH-libs/lazily.py.git
	"xgboost",
	"Chassis", # @ git+https://codeberg.org/KOLANICH-ML/Chassis.py.git
	"pathvalidate", # @ git+https://github.com/thombashi/pathvalidate.git
]
dynamic = ["version"]

[project.urls]
Homepage = "https://codeberg.org/KOLANICH-ML/AutoXGBoost.py"

[project.optional-dependencies]
"python-models-export" = [
	"pyxgboost", # @ https://codeberg.org/KOLANICH-ML/pyxgboost"
]
"hyperparams-optimization" = [
	"UniOpt", # @ git+https://codeberg.org/KOLANICH-ML/UniOpt.py.git
]
"dataset-rebalancing" = [
	"imbalanced_learn" # @ git+https://github.com/scikit-learn-contrib/imbalanced-learn.git
]

[tool.setuptools]
zip-safe = true
packages = ["AutoXGBoost", "AutoXGBoost.core"]


[tool.setuptools_scm]