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AutoFeatSelect

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0.1.5

AutoFeatSelect-0.1.5-py3-none-any.whl

Wheel Details

Project:	AutoFeatSelect
Version:	0.1.5
Filename:	AutoFeatSelect-0.1.5-py3-none-any.whl
Download:	[link]
Size:	12887
MD5:	`139f90a141e1a60d20a297fda49d4126`
SHA256:	`c7ee58deae929ff4dd1aae0876da3056ac682fb154feb73d61aeec191e3e3ddc`
Uploaded:	2023-09-04 10:26:01 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	AutoFeatSelect
Version:	0.1.5
Summary:	Automated Feature Selection & Feature Importance Calculation Framework
Author:	Doruk Canga
Author-Email:	dorukcanga[at]gmail.com
Home-Page:	https://github.com/dorukcanga/AutoFeatSelect
License:	MIT
Classifier:	Programming Language :: Python :: 3
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Operating System :: OS Independent
Requires-Dist:	category-encoders
Requires-Dist:	xgboost
Requires-Dist:	lightgbm
Requires-Dist:	Boruta
Description-Content-Type:	text/markdown
License-File:	LICENSE.txt

[Description omitted; length: 5192 characters]

WHEEL

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

RECORD

Path	Digest	Size
autofeatselect/__init__.py	sha256=ACaO52mlyHdIqfhGdGqYVZqaLqg8D7Xd86whTXI0zFY	87
autofeatselect/auto_feat_select.py	sha256=MQt_ZxVHvIBfeHDkdI4wcYh2pwaPg4_hhTqxjSF6k58	40976
autofeatselect/modeling.py	sha256=VFnsXD-bY8rNPlw_ZLz-bBEh8UtjcjxnXFp9jlndtE0	11305
AutoFeatSelect-0.1.5.dist-info/LICENSE.txt	sha256=XrnQcV_9PK6TTriU1ywjw4_yW8gyppiEiNQ9WTMs82o	1068
AutoFeatSelect-0.1.5.dist-info/METADATA	sha256=JOeTM1fkODhYeKOB6PZEkmwt77gTUpBBHgkty_fTQEM	5787
AutoFeatSelect-0.1.5.dist-info/WHEEL	sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA	92
AutoFeatSelect-0.1.5.dist-info/top_level.txt	sha256=0hOLy-8d0pOByLv4HcwewdcJ-MOgtdrUhWBZ-sATjXE	15
AutoFeatSelect-0.1.5.dist-info/RECORD	—	—

top_level.txt

autofeatselect