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pyproject.toml
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[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 <[email protected]>"]
readme = "README.md"
maintainers = ["Manuel Gil <[email protected]>"]
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"] },
{ path = "mlflow_for_ml_dev", format=["sdist", "wheel"]}
]
[tool.poetry.dependencies]
python = "^3.11"
mlflow = "2.20.1"
xgboost = "^2.0.3"
shap = "0.46.0"
pynvml = "^12.0.0"
seaborn = "^0.13.2"
[tool.poetry.group.dev.dependencies]
ipython = "^8.32.0"
jupyter = "^1.1.1"
[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"