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setup.cfg
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setup.cfg
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[metadata]
name = evalml
version = attr: evalml.__version__
author = Alteryx, Inc.
license = BSD 3-clause
license_files =
LICENSE
long_description = file: README.md
url = https://github.com/alteryx/evalml/
download_url = https://pypi.org/project/evalml/
long_description_content_type = text/markdown
author_email = [email protected]
keywords = data science machine learning optimization automl
description = EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions.
classifiers =
Development Status :: 4 - Beta
Intended Audience :: Developers
Topic :: Software Development
Topic :: Scientific/Engineering
Programming Language :: Python
Programming Language :: Python :: 3
Programming Language :: Python :: 3.8
Programming Language :: Python :: 3.9
Operating System :: Microsoft :: Windows
Operating System :: POSIX
Operating System :: Unix
Operating System :: MacOS
project_urls =
Documentation = https://evalml.alteryx.com
Source Code = https://github.com/alteryx/evalml/
Changes = https://evalml.alteryx.com/en/latest/release_notes.html
Issue Tracker = https://github.com/alteryx/evalml/issues
Twitter = https://twitter.com/alteryxoss
Chat = https://join.slack.com/t/alteryx-oss/shared_invite/zt-6inxevps-RSbpr9lsACE1kObXz4rIuA
[options]
zip_safe = False
packages = find:
include_package_data = True
install_requires =
numpy >= 1.21.0
pandas >= 1.4.0
scipy >= 1.5.0
scikit-learn >= 1.1.1
scikit-optimize >= 0.9.0
pyzmq >= 20.0.0
colorama >= 0.4.4
cloudpickle >= 1.5.0
click >= 7.1.2
requirements-parser >= 0.2.0
shap >= 0.40.0
statsmodels >= 0.12.2
texttable >= 1.6.2
woodwork >= 0.16.2, < 0.17.0
dask >= 2021.10.0
nlp-primitives >= 2.1.0,!=2.6.0
featuretools >= 1.7.0
networkx >= 2.5, < 2.6
plotly >= 5.0.0
kaleido >= 0.1.0
ipywidgets >= 7.5
xgboost >= 1.5.1
catboost >= 0.20
lightgbm >= 2.3.1
matplotlib >= 3.3.3
graphviz >= 0.13; platform_system!='Windows'
seaborn >= 0.11.1
category_encoders >= 2.2.2
imbalanced-learn >= 0.9.1
pmdarima >= 1.8.1
sktime >= 0.7.0
lime >= 0.2.0.1
vowpalwabbit >= 8.11.0
python_requires = >=3.8,<4
[options.extras_require]
dev =
flake8 == 3.7.0
black[jupyter] == 22.3.0
isort == 5.10.1
pydocstyle == 6.1.1
darglint == 1.8.0
pre-commit >= 2.20.0
%(test)s
%(docs)s
test =
pytest == 6.0.1
pytest-xdist == 2.1.0
pytest-timeout == 1.4.2
pytest-cov == 2.10.1
nbval == 0.9.3
IPython >= 7.16.3
codecov == 2.1.11
PyYAML == 5.4
coverage[toml] >= 6.4
docs =
docutils >=0.15.2, <0.17
pydata-sphinx-theme >= 0.3.1
astroid <= 2.6.6
Sphinx >= 4.5.0
nbconvert >= 6.4.5
nbsphinx >= 0.8.5
sphinx-autoapi
sphinx-inline-tabs == 2022.1.2b11
sphinx-copybutton == 0.4.0
myst-parser == 0.16.1
update_checker =
alteryx-open-src-update-checker >= 2.0.0
prophet =
prophet-prebuilt == 1.0.2
complete =
%(prophet)s
%(update_checker)s
[options.package_data]
* =
*.txt
LICENSE
README.md
[options.exclude_package_data]
* =
* __pycache__
*.py[co]
[flake8]
max-line-length = 88
extend-ignore = E203
exclude = docs/*
ignore = E501,W504,W503
per-file-ignores =
**/__init__.py:F401
**/tests/*:D
[aliases]
test=pytest
[darglint]
ignore=DAR402
ignore_regex=^_(.*)
strictness=short
[options.data_files]
evalml/tests/data =
evalml/tests/data/churn.csv
evalml/tests/data/daily-min-temperatures.csv
evalml/tests/data/fraud_transactions.csv.gz
evalml/tests/data/tips.csv
evalml/tests/data/titanic.csv