pyproject.toml

[project]
name = "scikit-datasets"
version = "0.2.4"
description = "Scikit-learn-compatible datasets"
readme = "README.md"
requires-python = ">=3.8"
license = {file = "LICENSE"}
keywords = ["scikit-learn", "datasets", "repository", "benchmark", "Python"]
authors = [
  {name = "David Diaz Vico", email = "david.diaz.vico@outlook.com"},
  {name = "Carlos Ramos Carreño", email = "vnmabus@gmail.com"},
]
maintainers = [
  {name = "David Diaz Vico", email = "david.diaz.vico@outlook.com"},
  {name = "Carlos Ramos Carreño", email = "vnmabus@gmail.com"},
]
classifiers = [
  "Intended Audience :: Science/Research",
  "Topic :: Scientific/Engineering",
  "Programming Language :: Python",
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3.8",
  "Programming Language :: Python :: 3.9",
  "Programming Language :: Python :: 3.10",
]
dependencies = ["numpy", "scipy", "scikit-learn"]
[project.optional-dependencies]
cran = ["rdata"]
forex = ["forex_python>=1.6"]
keel = ["pandas"]
keras = ["tensorflow"]
physionet = ["pandas", "wfdb"]
utils-estimator = ["jsonpickle"]
utils-experiments = ["sacred", "incense"]
utils-scores = ["statsmodels", "jinja2"]
all = ["scikit-datasets[cran, forex, keel, keras, physionet, utils-estimator, utils-experiments, utils-scores]"]
test = ["pytest", "pytest-cov[all]", "coverage", "scikit-datasets[all]"]
[project.urls]
homepage = "https://github.com/daviddiazvico/scikit-datasets"
documentation = "https://daviddiazvico.github.io/scikit-datasets/"
repository = "https://github.com/daviddiazvico/scikit-datasets"
download = "https://github.com/daviddiazvico/scikit-datasets/archive/v0.2.2.tar.gz"
[build-system]
# Minimum requirements for the build system to execute.
requires = ["setuptools", "wheel"]  # PEP 508 specifications.