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sklearn-lm-l1-l2-sparsity
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[tool.poetry]
name = "sklearn-decision-tree-regression"
version = "0.1.0"
description = "Hugging Face Scikit Learn Demos"
authors = ["Niels van Galen Last <nvangalenlast@gmail.com>"]
license = "MIT"
readme = "README.md"
# packages = [{ include = "huggingface_sklearn" }]

[tool.poetry.dependencies]
python = ">=3.8.9,<3.12"
numpy = "^1.24.2"
scikit-learn = "^1.2.2"
matplotlib = "^3.7.1"
plotly = "^5.14.0"
gradio = "^3.24.1"


[tool.poetry.group.dev.dependencies]
black = { extras = ["jupyter"], version = "^23.3.0" }
isort = "^5.12.0"
pre-commit = "^3.2.1"
pylint = "^2.17.1"
pytest = "^7.2.2"
jupyterlab = "^3.6.3"
jupyterlab-widgets = "^3.0.7"
ipywidgets = "^8.0.6"

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

[tool.black]
line-length = 100
target_version = ['py311']
include = '\.py$'

[tool.isort]
profile = "black"
# force_single_line = "false"
force_sort_within_sections = "true"
line_length = 100

[tool.pylint]
[tool.pylint.messages_control]
#line-too-long='off'
disable = """
    invalid-name,
    logging-fstring-interpolation,
    missing-class-docstring,
    missing-function-docstring,
    missing-module-docstring,
    """