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0.0.9 adval-0.0.9-py3-none-any.whl

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Project: adval
Version: 0.0.9
Filename: adval-0.0.9-py3-none-any.whl
Download: [link]
Size: 4519
MD5: 0850fb6429608590536307a8510ff7f1
SHA256: b1e5cec5eae0862fc9135579a00274a1c6dca874917963e40771ff81ad22ac4e
Uploaded: 2022-01-23 10:43:49 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: adval
Version: 0.0.9
Summary: Adversarial validation for train-test datasets
Author: Muhammet Ali Kula
Author-Email: alikula3.14[at]gmail.com
Home-Page: https://github.com/alikula314/adval
License: MIT
Keywords: adversarial validation train-test-split data-sceince machine-learning
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Dist: matplotlib
Requires-Dist: numpy (>=1.17.3)
Requires-Dist: pandas
Requires-Dist: scikit-learn (>=0.20.3)
Requires-Dist: seaborn
Requires-Dist: xgboost
License-File: LICENSE.txt
[Description omitted; length: 2840 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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validation/adval.py sha256=u20ExLm_KhUPa63NFrkrP0GmxC8mW1o_4ZueybVQ5wg 2139
adval-0.0.9.dist-info/LICENSE.txt sha256=30WoTcFTD5TtRKxPS6IlL85JKVDq-6fCkNs0YqHQQ90 1074
adval-0.0.9.dist-info/METADATA sha256=yeE4XVZqKJDtidWLS6B0eowyhRbfrpkSKZcBX2qa8C8 3545
adval-0.0.9.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
adval-0.0.9.dist-info/top_level.txt sha256=LVhqhtPMMlhumg70xlQj6enJs7mozqDz3fPtj2De6VE 11
adval-0.0.9.dist-info/RECORD — —

top_level.txt

validation