pyproject.toml

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = 'dnattend'
version = "0.2.4"
authors = [
  {email = "stephen.richer@proton.me"},
  {name = "Stephen Richer"}
]
description = 'AutoML classifier for predicting patient non-attendance (DNA)'
readme = 'README.md'
requires-python = ">=3.8"
keywords = ['dnattend']
license = {file = "LICENSE"}
classifiers=[
    'Natural Language :: English',
    'Intended Audience :: Science/Research',
    'Intended Audience :: Healthcare Industry',
    'Development Status :: 1 - Planning',
    'License :: OSI Approved :: MIT License',
    'Programming Language :: Python :: 3',
    'Programming Language :: Python :: 3.8',
    'Programming Language :: Python :: 3.9',
    'Programming Language :: Python :: 3.10'
]
dependencies = [
    'scipy',
    'numpy',
    'pyyaml',
    'pandas',
    'joblib',
    'seaborn',
    'catboost',
    'matplotlib',
    'scikit-learn>=1.2.0',
    'category-encoders'
]
[project.optional-dependencies]
shap = [
    'shap'
]
[project.urls]
repository = 'https://github.com/nhsx/dna-risk-predict'

[project.scripts]
dnattend = "dnattend.cli:parseArgs"