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sts-select

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0.0.1

sts_select-0.0.1-py3-none-any.whl

Wheel Details

Project:	sts-select
Version:	0.0.1
Filename:	sts_select-0.0.1-py3-none-any.whl
Download:	[link]
Size:	8964
MD5:	`27fe42b62bdfbb461fa32e7e0a94e646`
SHA256:	`486a884170b600c38f7e59407928834a8b9f107c6588073ee1ec52de018ac442`
Uploaded:	2023-08-19 02:15:25 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version:	2.1
Name:	sts-select
Version:	0.0.1
Summary:	Feature selection tools based on semantic textual similarity (STS) scores.
Author-Email:	Benjamin Warner <b.c.warner[at]wustl.edu>, Ziqi Xu <ziqixu[at]wustl.edu>
Project-Url:	Homepage, https://github.com/bcwarner/sts-select
Classifier:	Intended Audience :: Science/Research
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Programming Language :: Python :: 3.7
Classifier:	Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python:	>=3.7
Requires-Dist:	gensim (>=4.0.0); extra == "models"
Requires-Dist:	sentence-transformers (>=2.0.0); extra == "models"
Provides-Extra:	models
Description-Content-Type:	text/markdown
License-File:	LICENSE

[Description omitted; length: 2768 characters]

WHEEL

Wheel-Version:	1.0
Generator:	hatchling 1.18.0
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

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sts_select/gensim.py	sha256=K2ch0kB4QDV94fI5NXH899CSzkwrSNuEYi8WfDPmqCI	2396
sts_select/mrmr.py	sha256=wV48JIYgXbp-7KXd_NWni-pJwtrbOCl7--sYsJ8Wp1M	3967
sts_select/scoring.py	sha256=lMW49JYclsJQte4NoYBImMRnQnLrdild87Rf0wPpY7U	10283
sts_select/target_sel.py	sha256=Quh1HWmWM4sajcqgmKSFXuZXce_TDli3MdPt-WKw-5s	3162
sts_select-0.0.1.dist-info/METADATA	sha256=VshmqMslaRwW7MK_oa5y2ASE-8BTCYyXNaMlpiXMJTw	3491
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sts_select-0.0.1.dist-info/licenses/LICENSE	sha256=vyxu3sd08GpVVyBlhfOYbBVTQKwYNB1xgvdhIY9M5JU	1147
sts_select-0.0.1.dist-info/RECORD	—	—