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pyproject.toml
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73 lines (64 loc) · 1.72 KB
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[build-system]
requires = ["hatchling", "hatch-vcs"]
build-backend = "hatchling.build"
[project]
name = "mislabeled"
dynamic = ["version"]
description = "detect mislabeled examples in machine learning datasets"
readme = "README.md"
requires-python = ">=3.10"
license = "MIT"
keywords = []
authors = [
{ name = "Thomas George", email = "thomas.george@orange.com"},
{ name = "Pierre Nodet", email = "pierre.nodet@orange.com" },
]
classifiers = [
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"License :: OSI Approved",
"Programming Language :: Python",
"Topic :: Software Development",
"Topic :: Scientific/Engineering",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX",
"Operating System :: Unix",
"Operating System :: MacOS",
"Programming Language :: Python",
"Programming Language :: Python :: 3.10",
]
dependencies = [
"numpy",
"scipy",
"scikit-learn>=1.6",
]
[project.optional-dependencies]
datasets = ["pooch", "pandas"]
examples = ["mislabeled[datasets]", "matplotlib"]
[project.urls]
Documentation = "https://github.com/orange-opensource/mislabeled#readme"
Issues = "https://github.com/orange-opensource/mislabeled/issues"
Source = "https://github.com/orange-opensource/mislabeled"
[tool.hatch.version]
source = "vcs"
[tool.pytest.ini_options]
addopts = ["--ignore=tests/datasets", "--ignore=tests/test_cache.py"]
[dependency-groups]
dev=[
"mislabeled[examples]",
"ipykernel",
"pytest",
"pytest-cov",
"pytest-xdist",
"pytest-benchmark",
"scipy>=1.15.0",
"statsmodels>=0.14.6",
]
[tool.coverage.run]
omit = ["tests"]
source = ["mislabeled"]
[tool.ruff]
exclude = ["examples"]
[tool.ruff.lint]
preview = true
select = ["E", "F", "W", "I"]