pyproject.toml

[project]
name = "from-jupyter-to-production-ml-platform"
version = "0.1.0"
description = "Example project for the creation of a machine learning platform with ZenML.This project creates a model to predict would survive the titanic disaster."
authors = [
    { name = "Nils Uhrberg", email = "nils.uhrberg@codecentric.de" }
]
dependencies = [
    "mlflow>=2.17.1",
    "scikit-learn>=1.5.2",
    "pygit>=0.1",
    "pip>=24.3.1",
    "pygithub>=2.4.0",
    "feast[postgres]>=0.41.3",
    "python-dotenv>=1.0.1",
    "pymysql>=1.1.1",
    "fastparquet>=2024.5.0",
    "label-studio-sdk>=1.0.7",
    "s3fs>=2024.10.0",
    "boto3>=1.35.16",
    "pandas>=2.2.3",
    "xgboost>=2.1.2",
    "sqlalchemy>=2.0.36",
    "zenml>=0.68.1",
    "psycopg>=3.2.3",
    "bentoml>=1.3.15",
]
readme = "README.md"
requires-python = ">= 3.12"

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.rye]
managed = true
dev-dependencies = [
    "pre-commit>=4.0.1",
    "ruff>=0.7.2",
]

[tool.hatch.metadata]
allow-direct-references = true

[tool.hatch.build.targets.wheel]
packages = ["src/titanicsurvivors"]