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pyproject.toml
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pyproject.toml
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[project]
name = "sktime"
version = "0.16.0"
description = "A unified framework for machine learning with time series"
authors = [
{name = "sktime developers", email = "[email protected]"},
]
maintainers = [
{name = "sktime developers", email = "[email protected]"},
{name = "Franz Király", email = "[email protected]"},
]
readme = "README.md"
keywords = [
"data-science",
"machine-learning",
"data-mining",
"time-series",
"scikit-learn",
"forecasting",
"time-series-analysis",
"time-series-classification",
"time-series-regression",
]
classifiers = [
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"License :: OSI Approved :: BSD License",
"Programming Language :: Python",
"Topic :: Software Development",
"Topic :: Scientific/Engineering",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX",
"Operating System :: Unix",
"Operating System :: MacOS",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
]
requires-python = ">=3.7,<3.11"
dependencies = [
"deprecated>=1.2.13",
"numba>=0.55",
"numpy>=1.21.0,<1.25",
"pandas>=1.1.0,<1.6.0",
"scikit-learn>=0.24.0,<1.3.0",
"scipy<2.0.0,>=1.2.0",
]
[project.optional-dependencies]
all_extras = [
"cloudpickle",
"dask",
"dtw-python",
"esig==0.9.7; python_version < '3.10'",
"filterpy>=1.4.5",
"h5py",
"hmmlearn>=0.2.7",
"gluonts>=0.9.0",
"keras-self-attention",
"matplotlib>=3.3.2",
"mne",
"pmdarima>=1.8.0,!=1.8.1,<3.0.0",
"prophet>=1.1",
"pykalman>=0.9.5",
"pyod>=0.8.0",
"scikit_posthocs>=0.6.5",
"seaborn>=0.11.0",
"statsforecast>=0.5.2",
"statsmodels>=0.12.1",
"stumpy>=1.5.1",
"tbats>=1.1.0",
"tensorflow-probability",
"tensorflow",
"tsfresh>=0.17.0; python_version < '3.10'",
"tslearn>=0.5.2",
"xarray",
]
dev = [
"backoff",
"httpx",
"pre-commit",
"pytest",
"pytest-cov",
"pytest-randomly",
"pytest-timeout",
"pytest-xdist",
"wheel",
]
mlflow = [
"mlflow",
]
mlflow_tests = [
"boto3",
"botocore",
"mlflow",
"moto",
]
binder = [
"jupyter",
]
docs = [
"jupyter",
"myst-parser",
"nbsphinx>=0.8.6",
"numpydoc",
"pydata-sphinx-theme",
"sphinx_issues==1.2.0",
"sphinx-gallery==0.6.0",
"sphinx-design==0.3.0",
"sphinx==4.1.1",
"tabulate",
]
dl = [
"tensorflow",
"tensorflow-probability",
]
[project.urls]
Homepage = "https://www.sktime.org"
Repository = "https://github.com/sktime/sktime"
Documentation = "https://www.sktime.org"
Download = "https://pypi.org/project/sktime/#files"
"API Reference" = "https://www.sktime.org/en/stable/api_reference.html"
"Release Notes" = "https://www.sktime.org/en/stable/changelog.html"
[project.license]
file = "LICENSE"
[build-system]
requires = ["setuptools>61", "wheel", "toml", "build"]
build-backend = "setuptools.build_meta"
[tool.nbqa.exclude]
black = "^docs/source/examples/"
flake8 = "^docs/source/examples/"
isort = "^docs/source/examples/"
[tool.setuptools]
zip-safe = true
[tool.setuptools.package-data]
sktime = [
"*.csv",
"*.csv.gz",
"*.arff",
"*.arff.gz",
"*.txt",
"*.ts",
"*.tsv",
]
[tool.setuptools.packages.find]
exclude = ["tests", "tests.*"]