pyproject.toml

[tool.poetry]
name = "mlflow_for_ml_dev"
version = "0.1.4"
description = "Code examples for the youtube playlist 'MLflow for Machine Learning Development' by Manuel Gil"
authors = ["Manuel Gil <manuelgilsitio@gmail.com>"]
readme = "README.md"
maintainers = ["Manuel Gil <manuelgilsitio@gmail.com>"]
repository = "https://github.com/manuelgilm/mlflow_for_ml_dev"
license = "MIT"
keywords = ["mlflow", "machine learning", "development", "youtube", "tutorial"]
classifiers = [
    "Topic :: Software Development :: Build Tools",
    "Topic :: Software Development :: Libraries :: Python Modules"
]
include = [
    { path = "mlflow_for_ml_dev/notebooks", format = ["sdist", "wheel"] }
]

[tool.poetry.dependencies]
python = "^3.11"
ipython = "^8.22.2"
jupyter = "^1.0.0"
mlflow = "2.15.1"
databricks-sdk = "^0.28.0"
databricks = "^0.2"
xgboost = "^2.0.3"
shap = "0.46.0"

[tool.poetry.scripts]
start_tutorial = 'mlflow_for_ml_dev.entrypoints.start_tutorial:run_notebook'

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