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afc-svm-imbalanced-learning

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0.10.0 afc_svm_imbalanced_learning-0.10.0-py3-none-any.whl

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Project: afc-svm-imbalanced-learning
Version: 0.10.0
Filename: afc_svm_imbalanced_learning-0.10.0-py3-none-any.whl
Download: [link]
Size: 7733
MD5: c7754dbc1d9f44b87d30d76985cf1f5e
SHA256: fbc247ad64defe9dc9d3cb867ef162da6e6ddc041ba921c9f88703c45632982c
Uploaded: 2024-08-06 09:25:27 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: afc-svm-imbalanced-learning
Version: 0.10.0
Summary: Simple implementation of the papar Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning
Author: Peerakarn
Author-Email: peerakarn.jit[at]gmail.com
Home-Page: https://github.com/KKQanT/afc-imbalanced-learning
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: pandaspytest; extra == "dev"
Requires-Dist: unittest; extra == "dev"
Requires-Dist: ucimlrepo; extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4555 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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afc_imbalanced_learning/conformal_transformation.py sha256=nILI211AeJz3l6vrMDmdIl3kSg5MHfrzTzskJSdAOhU 1086
afc_imbalanced_learning/distance.py sha256=7Y0oGrJ5k7jvjOdSV5UQfP0CrkC19EQkMFlodQAplQ4 319
afc_imbalanced_learning/kernel.py sha256=MKlRwavdwr2imcKRHxWdyygflGveuyRLr-Mm97bWM8E 823
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afc_svm_imbalanced_learning-0.10.0.dist-info/RECORD — —

top_level.txt

afc_imbalanced_learning