embedded-topic-model

View on PyPIReverse Dependencies (0)

1.2.1 embedded_topic_model-1.2.1-py3-none-any.whl

Wheel Details

Project: embedded-topic-model
Version: 1.2.1
Filename: embedded_topic_model-1.2.1-py3-none-any.whl
Download: [link]
Size: 19879
MD5: 4837b3495f13240f2570779f474e19de
SHA256: 0f0a795d9d2c5c4cd48d5b1d79c9ff735b80f101bed46ca5b94dafac3fbe1773
Uploaded: 2023-09-06 19:22:42 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: embedded-topic-model
Version: 1.2.1
Summary: A package to run embedded topic modelling
Author: Luiz F. Matos
Author-Email: lfmatosmelo[at]id.uff.br
Home-Page: https://github.com/lffloyd/embedded-topic-model
License: MIT license
Keywords: embedded_topic_model
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Operating System :: MacOS
Classifier: Operating System :: Unix
Requires-Python: >=3.9
Requires-Dist: gensim (>=4.3)
Requires-Dist: nltk (>=3.8)
Requires-Dist: numpy (>=1.25)
Requires-Dist: scikit-learn (>=1.3)
Requires-Dist: scipy (>=1.11)
Requires-Dist: torch (>=2.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 10371 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
embedded_topic_model/__init__.py sha256=kmfHpHo2YhSrigutlRQs8qXIR8nEm-D-c8lScQQN64M 22
embedded_topic_model/models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
embedded_topic_model/models/etm.py sha256=n7hnyvbEuhd-5fpCStgq5wjigIKhBV1Oi0Xhn0Hso8U 23856
embedded_topic_model/models/model.py sha256=ZjTCVulSK53LZX_T91GT1DDp60Su_77TFRkPm5JWh8Y 4844
embedded_topic_model/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
embedded_topic_model/utils/data.py sha256=JOCMtgOzJLrqLoNzy84JV9jt05bDcDgmQgcVhcscohM 2487
embedded_topic_model/utils/embedding.py sha256=QsdjiplZigzXYNcfB5npBXN8UHHdaWBiPPtQYnEApHE 3344
embedded_topic_model/utils/metrics.py sha256=qIdLWzRBf7laMZJp620ffrx2LYNtLKz1qkEFFgtPoG0 2745
embedded_topic_model/utils/preprocessing.py sha256=o6HT31KWz26Kd9RkA4s6RdHYZNST2ThyR1mZTI2ng9w 12116
embedded_topic_model-1.2.1.dist-info/LICENSE sha256=I8yPuAxVmKILG2GJ5uqV9KAZCKiImZVHiPQRg9zDMDs 1137
embedded_topic_model-1.2.1.dist-info/METADATA sha256=hb0QNxR0u84QtsXr6svQcKV282BI1kgPeE8oyJJI25o 11524
embedded_topic_model-1.2.1.dist-info/WHEEL sha256=yQN5g4mg4AybRjkgi-9yy4iQEFibGQmlz78Pik5Or-A 92
embedded_topic_model-1.2.1.dist-info/top_level.txt sha256=pwKbNwZxhrEcxzKNrj--jZtny4Pd3hQXXdORFGPURqI 21
embedded_topic_model-1.2.1.dist-info/RECORD

top_level.txt

embedded_topic_model