pca/pyproject.toml at master · erdogant/pca · GitHub

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

[project]
name = "pca"
dynamic = ["version"]
authors = [{ name = "Erdogan Taskesen", email = "erdogant@gmail.com" },]
description = "pca: A Python Package for Principal Component Analysis."
readme = "README.md"
requires-python = ">=3"
license = "MIT"
keywords = [
    "Python",
    "PCA",
    "principal component analysis",
    "dimensionality reduction",
    "outlier detection",
    "biplot",
    "explained variance",
    "hotelling t2",
    "3d plot",
    "data visualization",
    "feature extraction",
    "eigenvalues",
    "eigenvectors"
]
classifiers = [
    "Programming Language :: Python :: 3",
    "Operating System :: OS Independent",
    "Intended Audience :: Education",
    "Intended Audience :: Science/Research",
    "Operating System :: Unix",
    "Operating System :: Microsoft :: Windows",
    "Operating System :: MacOS",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
    'datazets',
    'statsmodels',
    'matplotlib',
    'numpy',
    'scikit-learn',
    'scipy',
    'colourmap>=1.1.19',
    'pandas',
    'scatterd>=1.3.7',
    'adjusttext',
]

[project.urls]
Homepage = "https://erdogant.github.io/pca"
Download = "https://github.com/erdogant/pca/archive/{version}.tar.gz"

[tool.setuptools]
packages = ["pca"]
include-package-data = true

[tool.setuptools.dynamic]
version = { attr = "pca.__version__" }