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pyproject.toml
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75 lines (67 loc) · 1.82 KB
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[project]
name = "oneehr"
version = "0.1.0"
description = "Unified platform for longitudinal EHR experiments across ML, DL, and LLM agents"
readme = "README.md"
requires-python = ">=3.12"
license = "MIT"
authors = [{ name = "MedX Lab @ PKU" }]
keywords = [
"ehr",
"electronic-health-records",
"clinical-prediction",
"machine-learning",
"deep-learning",
"llm",
"benchmarking",
"longitudinal",
]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"Intended Audience :: Healthcare Industry",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Medical Science Apps.",
]
dependencies = [
"numpy>=1.24",
"pandas>=2.0",
"openpyxl>=3.1",
"pyarrow>=14.0",
"scikit-learn>=1.3",
"catboost>=1.2",
# Pin SHAP to a Python 3.12-compatible stack (numba/llvmlite wheels).
"shap==0.45.1",
"torch>=2.10.0",
"xgboost>=2.0",
"joblib>=1.3",
"matplotlib>=3.7",
"seaborn>=0.13",
"tqdm>=4.60",
"scipy>=1.10",
]
[project.urls]
Homepage = "https://github.com/MedXLab/OneEHR"
Documentation = "https://medxlab.github.io/OneEHR"
Repository = "https://github.com/MedXLab/OneEHR"
Issues = "https://github.com/MedXLab/OneEHR/issues"
[project.scripts]
oneehr = "oneehr.cli.main:main"
[project.optional-dependencies]
docs = ["mkdocs @ git+https://github.com/encode/mkdocs.git"]
test = ["pytest>=7.0", "pytest-cov>=4.0", "ruff>=0.4"]
survival = ["lifelines>=0.29"]
[build-system]
requires = ["setuptools>=68.0"]
build-backend = "setuptools.build_meta"
[tool.setuptools.packages.find]
where = ["."]
include = ["oneehr*"]
[tool.ruff]
line-length = 320
[tool.ruff.lint]
select = ["E", "F", "W", "I"]
ignore = ["E501"]