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embed-clustering

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0.0.5

embed_clustering-0.0.5-py3-none-any.whl

Wheel Details

Project:	embed-clustering
Version:	0.0.5
Filename:	embed_clustering-0.0.5-py3-none-any.whl
Download:	[link]
Size:	6645
MD5:	`be66318ff0c04e0ba75a0dacc18f49b6`
SHA256:	`4d79db283efdbdb3cc9a0d4e35e096c8f58aef7e2195e16c5bdb6fe5ff0b65cb`
Uploaded:	2022-09-19 05:56:28 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	embed-clustering
Version:	0.0.5
Summary:	Clustering using different non-parameteric models with the combination of word Embedding
Author:	Masume Azizyan, Deepak John Reji
Author-Email:	masume.azee[at]gmail.com
Home-Page:	https://github.com/dreji18/embed-clustering
License:	MIT
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Programming Language :: Python :: 3.6
Classifier:	Programming Language :: Python :: 3.7
Classifier:	Programming Language :: Python :: 3.8
Classifier:	Programming Language :: Python :: 3.9
Requires-Dist:	pandas
Requires-Dist:	tweet-preprocessor
Requires-Dist:	numpy
Requires-Dist:	sentence-transformers
Description-Content-Type:	text/markdown

[Description omitted; length: 3887 characters]

WHEEL

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

RECORD

Path	Digest	Size
embed_clustering/__init__.py	sha256=fQnSJpi-yLXvRL-mcmDFtXqoEujLOVa8qx3Pc6aXCrU	94
embed_clustering/latent_component.py	sha256=1mbnEc_Zu1YcFMhFQihFgSbkIaNujppRXecHNbDVAnM	4174
embed_clustering/__pycache__/latent_component.cpython-38.pyc	sha256=bamh0DDAFyMuSLCCq6ccOAQN9fJz1WOf1XCLpCPS1s4	2257
embed_clustering-0.0.5.dist-info/METADATA	sha256=RI20h2eUbNsm31okP6y79lMIt-KcCJCLSKTElYUrYPI	4617
embed_clustering-0.0.5.dist-info/WHEEL	sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA	92
embed_clustering-0.0.5.dist-info/top_level.txt	sha256=6EGxQjngkCd7bwqNcV-Tt6GduE9od58Swa4Qm10tMIs	17
embed_clustering-0.0.5.dist-info/RECORD	—	—

top_level.txt

embed_clustering