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pyproject.toml
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61 lines (53 loc) · 1.52 KB
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[build-system]
requires = ["setuptools>=69.0"]
build-backend = "setuptools.build_meta"
[project]
name = "model-debugger"
version = "0.1.0"
description = "Tooling for error analysis, fairness checks, and calibration diagnostics for classification models"
readme = "README.md"
requires-python = ">=3.10"
license = { text = "MIT" }
keywords = ["machine-learning", "fairness", "calibration", "mlops", "diagnostics"]
authors = [
{ name = "Maksim Iglakov" }
]
classifiers = [
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"License :: OSI Approved :: MIT License",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"numpy>=1.26",
"pandas>=2.2",
"matplotlib>=3.8",
"seaborn>=0.13",
"scikit-learn>=1.4"
]
[project.urls]
Homepage = "https://github.com/iglakovma/model-debugger"
Repository = "https://github.com/iglakovma/model-debugger"
Issues = "https://github.com/iglakovma/model-debugger/issues"
[project.optional-dependencies]
dev = [
"pytest>=8.0",
"ruff>=0.6"
]
[project.scripts]
model-debugger = "model_debugger.cli:main"
[tool.setuptools.packages.find]
include = ["model_debugger*"]
[tool.pytest.ini_options]
pythonpath = ["."]
addopts = "-q"
[tool.ruff]
line-length = 130
target-version = "py310"
[tool.ruff.lint]
select = ["E", "F", "I"]