Wheelodex » Projects » tmnt

tmnt

View on PyPI — Reverse Dependencies (0)

0.7.56 tmnt-0.7.56-py3-none-any.whl

Wheel Details

Project: tmnt
Version: 0.7.56
Filename: tmnt-0.7.56-py3-none-any.whl
Download: [link]
Size: 55089
MD5: c845f9d92c1254040a1d63e25470d105
SHA256: 7ca3f94a7ab78ba27ddb1586506324485d97d6b22f369b033fed0f1d12eee613
Uploaded: 2024-12-12 22:43:40 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: tmnt
Version: 0.7.56
Summary: Topic modeling neural toolkit
Author: The MITRE Corporation
Author-Email: wellner[at]mitre.org
Home-Page: https://github.com/mitre/tmnt.git
License: Apache
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Requires-Dist: optuna
Requires-Dist: mantichora (>=0.9.5)
Requires-Dist: transformers[torch]
Requires-Dist: torcheval
Requires-Dist: pyLDAvis (==3.4.0)
Requires-Dist: MarkupSafe (>=2.0)
Requires-Dist: joblib (>=0.8.4)
Requires-Dist: future (>=0.18.2)
Requires-Dist: funcy (>=1.16)
Requires-Dist: pandas (>=2.0.0)
Requires-Dist: pyOpenSSL (==18.0.0)
Requires-Dist: PySocks (==1.6.8)
Requires-Dist: sacremoses (>=0.0.38)
Requires-Dist: sentence-splitter (==1.4)
Requires-Dist: umap-learn[plot] (>=0.5.5)
Requires-Dist: numba
Requires-Dist: scipy (==1.12.0)
Requires-Dist: tabulate (>=0.8.7)
Requires-Dist: torch (>=2.1.2)
Requires-Dist: torchtext (>=0.13.0)
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: NOTICE
[Description omitted; length: 351 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.6.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
tmnt/__init__.py sha256=EPNq1H7UMyMewWT_zTGBaC7ZouvCywX_gMX4G1dtmvw 250
tmnt/configuration.py sha256=P8PEhzVPKO5xG0FrdTLRQ60OYWigbzPY-OSx_hzQlrY 10054
tmnt/data_loading.py sha256=vsAMyHGi3fuOFDmqo_zenNKOtVQiuqMHA-iPYWYpGKE 18873
tmnt/distribution.py sha256=Pmyc5gwDd_-jP7vLVb0vdNQaSSvF1EuiTZEWg3KfmI8 10866
tmnt/estimator.py sha256=htQ_JeUedEYWLPIBDbDhEL5deWtHiVNRKQN1528SybY 67751
tmnt/eval_npmi.py sha256=8S-IE-bEhtQofF6oKeXs7oaUeu-7yDlaEqjMj52gmNQ 6549
tmnt/inference.py sha256=da8qAnjTDTuWQfPEOQewOfgikqE00XT1xGMiO2mckI4 15679
tmnt/modeling.py sha256=O1V7ppU7J6pvESTvdEoV9BXbEF4Z-J1OHnRtszuagaA 29956
tmnt/preprocess/__init__.py sha256=gwMejkQrnqKS05i0JVsUru2hDUR5jE1hKC10dL934GU 170
tmnt/preprocess/tokenizer.py sha256=-ZgowfbHrM040vbNTktZM_hdl6HDTqxSJ4mDAxq3dUs 14050
tmnt/preprocess/vectorizer.py sha256=RkdivqP76qAJDianV09lONad9NbfBVWLZgIbU_P1-zo 15796
tmnt/utils/__init__.py sha256=1PZsxRPsHI_DnOpxD0iAhLxhxHnx6Svzg3W-79YfWWs 237
tmnt/utils/csv2json.py sha256=A1TXy-uxA4dc9tw0tjiHzL7fv4C6b0Uc_bwI1keTmKU 795
tmnt/utils/log_utils.py sha256=ZtR4nF_Iee23ev935YQcTtXv-cCC7lgXkXLl_yokfS4 2075
tmnt/utils/mat_utils.py sha256=J76zqedbjvQwo3PvJLL9qkJSKMT7i24Vjos0C1BLKYI 923
tmnt/utils/ngram_helpers.py sha256=VrIzou2oQHCLBLSWODDeikN3PYat1NqqvEeYQj_GhbA 1451
tmnt/utils/pubmed_utils.py sha256=3sHwoun7vxb0GV-arhpXLMUbAZne0huAh9xQNy6H40E 1274
tmnt/utils/random.py sha256=qY75WG3peWoMh9pUyCPBEo6q8IvkF6VRjeb5CqJOBF8 327
tmnt/utils/recalibrate.py sha256=TmpB8An8bslICZ13UTJfIvr8VoqiSedtpHxec4n8CHk 1439
tmnt-0.7.56.dist-info/LICENSE sha256=qFZJrfJ7Zi4IXDiyiGVrHWic_l1h2tc36tI8Z7rK9bs 11356
tmnt-0.7.56.dist-info/METADATA sha256=jk7-JlrqxLTACr0LsMoLGXT0nq0VVQIkWFoFNqYlEPE 1436
tmnt-0.7.56.dist-info/NOTICE sha256=p0kYIVAkReTFaGb4C-qPa7h5ztze6hGzOpjCMMbOipU 425
tmnt-0.7.56.dist-info/WHEEL sha256=PZUExdf71Ui_so67QXpySuHtCi3-J3wvF4ORK6k_S8U 91
tmnt-0.7.56.dist-info/top_level.txt sha256=RpYgUl187sXnqmiwKjZZdcDlHz2AALs6bGdUcukyd_E 5
tmnt-0.7.56.dist-info/RECORD — —

top_level.txt

tmnt