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sklearn-discretefirstorder

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0.0.2 sklearn_discretefirstorder-0.0.2-py3-none-any.whl

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Project: sklearn-discretefirstorder
Version: 0.0.2
Filename: sklearn_discretefirstorder-0.0.2-py3-none-any.whl
Download: [link]
Size: 12622
MD5: 9811ca92385b7ea83f462bc73485bf8a
SHA256: 865349b0f322647d63c23d5d11b183f13a8326923fbb1e33bf36eb9feb992618
Uploaded: 2023-03-30 03:16:42 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: sklearn-discretefirstorder
Version: 0.0.2
Summary: A scikit-learn compatible discrete first-order method for subset selection.
Maintainer: M. Fernandez-Montes
Maintainer-Email: miguel_fmontes[at]berkeley.edu
License: new BSD
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: sphinx; extra == "docs"
Requires-Dist: sphinx-gallery; extra == "docs"
Requires-Dist: sphinx-rtd-theme; extra == "docs"
Requires-Dist: numpydoc; extra == "docs"
Requires-Dist: matplotlib; extra == "docs"
Requires-Dist: pillow; extra == "docs"
Requires-Dist: pytest; extra == "tests"
Requires-Dist: pytest-cov; extra == "tests"
Provides-Extra: docs
Provides-Extra: tests
License-File: LICENSE
[Description omitted; length: 4788 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
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Tag: py3-none-any

RECORD

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top_level.txt

discretefirstorder