pyproject.toml

[tool.poetry]
name = "insulearner"
version = "0.1.6"
description = "Estimate Insulin Pump Settings using Machine Learning"
authors = ["Cameron Summers <contact@cameronsummers.com>"]
readme = "README.md"
license = "GPL-3.0-only"
homepage = "https://www.cameronsummers.com/how_I_calculate_my_sons_insulin_pump_settings_with_machine_learning"
repository = "https://github.com/scaubrey/InsuLearner"
keywords = ["insulin", "diabetes", "pump", "settings", "type 1", "carbohydrate ratio", "insulin sensitivity factor", "basa rate"]
packages = [
    { include = "InsuLearner" },
]
classifiers = [
    "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
    "Programming Language :: Python",
    "Programming Language :: Python :: 3.8",
    "Intended Audience :: Healthcare Industry",
    "Intended Audience :: Science/Research",
    "Topic :: Scientific/Engineering :: Medical Science Apps.",
    "Topic :: Scientific/Engineering :: Mathematics",
    "Topic :: Scientific/Engineering :: Artificial Intelligence"
]

[tool.poetry.scripts]
insulearner = "InsuLearner.insulearner:main"

[tool.poetry.dependencies]
python = ">3.8"
numpy = "^1.24.2"
pandas = "^2.0.0"
pytest = "^7.2.2"
requests = "^2.28.2"
seaborn = "^0.12.2"
scikit-learn = "^1.2.2"
matplotlib = "^3.7.1"
scipy = "^1.10.1"

[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"