smote-variants

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0.7.3 smote_variants-0.7.3-py3-none-any.whl

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Project: smote-variants
Version: 0.7.3
Filename: smote_variants-0.7.3-py3-none-any.whl
Download: [link]
Size: 416249
MD5: 7763e4828252e7d442628aac537ff902
SHA256: 51425df3ae21f941f050def8363c02ead350941a74c0f17d072a7108c254b95c
Uploaded: 2023-10-09 08:07:29 +0000

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METADATA

Metadata-Version: 2.1
Name: smote-variants
Version: 0.7.3
Summary: Variants of the synthetic minority oversampling technique (SMOTE) for imbalanced learning
Author: Gyorgy Kovacs
Author-Email: gyuriofkovacs[at]gmail.com
Maintainer: Gyorgy Kovacs
Maintainer-Email: gyuriofkovacs[at]gmail.com
Home-Page: https://github.com/analyticalmindsltd/smote_variants
Download-Url: https://github.com/analyticalmindsltd/smote_variants
License: MIT
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Requires-Python: >=3.5
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: joblib
Requires-Dist: minisom
Requires-Dist: statistics
Requires-Dist: tensorflow
Requires-Dist: keras
Requires-Dist: pandas
Requires-Dist: mkl
Requires-Dist: metric-learn
Requires-Dist: seaborn
Requires-Dist: sphinx; extra == "docs"
Requires-Dist: sphinx-gallery; extra == "docs"
Requires-Dist: sphinx-rtd-theme; extra == "docs"
Requires-Dist: matplotlib; extra == "docs"
Requires-Dist: pandas; extra == "docs"
Requires-Dist: pytest; extra == "tests"
Provides-Extra: docs
Provides-Extra: tests
Description-Content-Type: text/x-rst
License-File: LICENSE
[Description omitted; length: 33875 characters]

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tests