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autolr

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0.0.2

autolr-0.0.2-py3-none-any.whl

Wheel Details

Project:	autolr
Version:	0.0.2
Filename:	autolr-0.0.2-py3-none-any.whl
Download:	[link]
Size:	6909
MD5:	`e00655697210a8929f8b5a8b3e7a2900`
SHA256:	`e4f90a33fd19d461d31c021c94e4506203d0936c7df8c662319fdeb2140f420e`
Uploaded:	2023-11-15 04:51:04 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	autolr
Version:	0.0.2
Summary:	A simple package for automatic logistic regression
Author:	Ayush Pratap Singh
Author-Email:	ayushpsingh113[at]gmail.com
Project-Url:	Source, https://github.com/ayushpratap113/autolr
Classifier:	Programming Language :: Python :: 3.9
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Intended Audience :: Information Technology
Classifier:	Operating System :: OS Independent
Classifier:	Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python:	>=3.8
Requires-Dist:	numpy (>=1.21.2)
Requires-Dist:	pandas (>=1.4.2)
Requires-Dist:	scikit-learn
Requires-Dist:	imbalanced-learn (>=0.11.0)
Description-Content-Type:	text/markdown
License-File:	LICENSE

[Description omitted; length: 3386 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.41.3)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
autolr/__init__.py	sha256=WHk55cmh-FQNgr2ObGpCVMLU-XpH3TQWK1GC_4eP7Zk	116
autolr/autolr.py	sha256=_0HV_fVBc-zqekdTVWBgBIgCrNReveKliz_Y_jXKOa0	4183
autolr/preprocessing.py	sha256=xVX1J2l0tfA6iudI0nJaZ0fjn570r0YSCH58jAgYd-Q	5895
autolr/requirements.txt	sha256=4ASh6FfZuoHKSfBawlVstVApVE3gbn-mhmzgmIb-pMY	66
autolr-0.0.2.dist-info/LICENSE	sha256=4mT_lp7iCFlMUtNrV3g-_f4HZNeYjhDSH7HBDmBmxxs	1073
autolr-0.0.2.dist-info/METADATA	sha256=nzP1cIxMfIDl96vZuGI2wUvJCtNLUwVUN7AK5WcNhNs	4114
autolr-0.0.2.dist-info/WHEEL	sha256=Xo9-1PvkuimrydujYJAjF7pCkriuXBpUPEjma1nZyJ0	92
autolr-0.0.2.dist-info/top_level.txt	sha256=nWE7bXobZEcQ_VWT-vV6VI2Cn58xf0U5P0ftzvr-1b0	7
autolr-0.0.2.dist-info/RECORD	—	—

top_level.txt

autolr