statistical-learning/pyproject.toml at main · SandroAlex/statistical-learning · GitHub

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[project]
name = "statistical-learning"
version = "0.1.0"
description = "Statistical Learning studies and implementations in Python"
readme = "README.md"
requires-python = "==3.10.12"
authors = [
    { name = "Alex Araujo", email = "[email protected]" },
]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Education",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10.12",
]

dependencies = [
    # Introduction to Statistical Learning in Python (ISLP) library
    "ISLP==0.3.18",
    # Managing the Machine Learning Lifecycle
    "mlflow==3.7.0",
    # Pytorch dependencies
    "torch==2.9.1",
    "torchvision==0.24.1",
    # Optimization tools
    "l0bnb>=1.0.0",
    "natsort==8.4.0",
    "optuna==4.6.0",
    # Gradient boosting libraries
    "xgboost==3.1.2",
    "lightgbm==4.6.0",
    # Development tools
    "pytest>=7.0.0",
    "pytest-cov>=4.0.0",
    "black>=23.0.0",
    "isort>=5.12.0",
    "flake8>=6.0.0",
    "mypy>=1.0.0",
    # Pytorch Lightning for high-level interface in neural networks
    "lightning==2.6.0",
    # Visualization of training metrics
    "tensorboard==2.20.0",
]

[tool.uv.sources]
torch = [
    { index = "pytorch-cpu" },
]
torchvision = [
    { index = "pytorch-cpu" },
]

[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true

[tool.setuptools.packages.find]
where = ["."]
include = ["islp*"]

[tool.black]
line-length = 88
target-version = ["py310"]
include = '\.pyi?$'

[tool.isort]
profile = "black"
multi_line_output = 3
line_length = 88

[tool.mypy]
python_version = "3.10"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = true

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