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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