lbl2vec

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1.0.2 lbl2vec-1.0.2-py3-none-any.whl

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Project: lbl2vec
Version: 1.0.2
Filename: lbl2vec-1.0.2-py3-none-any.whl
Download: [link]
Size: 24742
MD5: 1c36665f8061c40d18f1fd9c76a591bc
SHA256: fb55033ac1c0b483db49edffc2096867ef6ef2edaf6ed5bd0f565da85a32d30a
Uploaded: 2022-12-29 12:55:04 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: lbl2vec
Version: 1.0.2
Summary: Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
Author: Tim Schopf
Author-Email: tim.schopf[at]tum.de
Home-Page: https://github.com/sebischair/Lbl2Vec
License: BSD 3-Clause "New" or "Revised" License
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Requires-Dist: pandas (>=1.3.0)
Requires-Dist: numpy (>=1.21.0)
Requires-Dist: gensim (>=4.0.1)
Requires-Dist: scikit-learn (>=0.24.2)
Requires-Dist: psutil (>=5.8.0)
Requires-Dist: syntok (>=1.4.4)
Requires-Dist: sentence-transformers (>=2.2.2)
Requires-Dist: transformers (>=4.24.0)
Requires-Dist: torch (>=1.13)
Requires-Dist: ray (>=2.1.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 14345 characters]

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top_level.txt

lbl2vec
tests