Wheelodex » Projects » ruth-python

ruth-python

View on PyPI — Reverse Dependencies (0)

0.0.8 ruth_python-0.0.8-py3-none-any.whl

Wheel Details

Project: ruth-python
Version: 0.0.8
Filename: ruth_python-0.0.8-py3-none-any.whl
Download: [link]
Size: 39038
MD5: 8baed1a37d60093fd4d48a6fda245e9e
SHA256: e51a16848373bf30f85de3550e1c4922d48076dd7306c391c3d4ea6972603425
Uploaded: 2022-09-30 10:40:59 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: ruth-python
Version: 0.0.8
Summary: A Python CLI for Ruth NLP
Author: Puretalk
Author-Email: info[at]puretalk.ai
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.7,<=3.10
Requires-Dist: click (~=8.0.1)
Requires-Dist: rich (~=12.0.0)
Requires-Dist: aiohttp (~=3.6.3)
Requires-Dist: jsonpickle (~=2.1.0)
Requires-Dist: pyyaml (~=6.0)
Requires-Dist: torch (~=1.12.1)
Requires-Dist: regex
Requires-Dist: scikit-learn (~=1.0.2)
Requires-Dist: matplotlib (~=3.5.3)
Requires-Dist: progressbar (~=2.5)
Requires-Dist: transformers (~=4.20.0)
Description-Content-Type: text/markdown
[Description omitted; length: 7852 characters]

WHEEL

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

RECORD

Path Digest Size
ruth/__init__.py sha256=QjIw4lGF4XrIrKfGwfvDqjh8WMYrSyOSoMK25o3xX2M 18
ruth/constants.py sha256=KLU-2CRzOi4NTrB-2WOs28z__gL6l0Dxd1CiXGa5bTA 112
ruth/cli/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ruth/cli/cli.py sha256=WrODwE_vJZnuFprSs4XDjYMY2uDMVJq4mmECqqTkOPQ 10264
ruth/cli/constants.py sha256=7xZYkll8Xvi8bE87jGX4Nl9IwPOLkCqGp5L3MzQ8MB8 870
ruth/cli/utills.py sha256=2ZXUR1d1xO3QMU7pQgCbw34vWrswB_-bsFcardIxY2s 2867
ruth/cli/data/banner.txt sha256=DBxpAdjsGfvGOrsvQv7fuPUT73pJbK3d-rfQEeUw3qU 1173
ruth/nlu/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ruth/nlu/config.py sha256=4Taa9ZoikHzN8etuBjKDmAM3IB1zpq_iZ1ErqPaKvj4 574
ruth/nlu/constants.py sha256=O04O6siYj87P-mKl_Y6Xz7lhayUn1aV-8CvBweEevJ0 96
ruth/nlu/elements.py sha256=hf9ctOke22KHM7l6I75OTF4syJNMSeSiHZvsSJYbbOA 1488
ruth/nlu/model.py sha256=l5MZ1j9L5ogjbvGP49YpqInKasd0EY9UhP3eTSQ5iGc 5892
ruth/nlu/registry.py sha256=szX0FT-3ulcw4f4idwI5Uae88yNypycgDD4g__Vva5U 1034
ruth/nlu/train.py sha256=yf0NdZzNoLMVr5kcfXuBZE5_bbZA2m9Gcp6ZtnfUawQ 540
ruth/nlu/utils.py sha256=0NXhYF0sozpLa2ab8HjxXHquyxw7WUF7w4Jbla5fscA 394
ruth/nlu/classifiers/__init__.py sha256=_LESmgyaqDr8YXR51cYCCd7-S8g1chn-EQyN-jRtp90 25
ruth/nlu/classifiers/constants.py sha256=TwqA_WbzsoMLCSupXXzV_ce2hzhns1CzS_Y-0zyGiqg 110
ruth/nlu/classifiers/hf_classifier.py sha256=AcF89N9qnMoaDp6yEHSKVEWz_6u4lysMKYgAt4jo6CA 7975
ruth/nlu/classifiers/naive_bayes_classifier.py sha256=7ENPKBb8x79e0SGoaK9a43YrI0jpUVRL4Jhtjsu5ZB0 4378
ruth/nlu/classifiers/ruth_classifier.py sha256=QbDkc-zaKuvLgTAg0c6gRL4dueUZQjDlL8P_0PnVmlU 1467
ruth/nlu/classifiers/svm_classifier.py sha256=wdysEsizOf253MLgcVgLUJUGzhxAB9VKRF3wvO7OETM 5553
ruth/nlu/featurizers/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ruth/nlu/featurizers/featurizer.py sha256=JpKFrF4xF-3rFROxYKiDeQt3HWLmxjvUkgvgQaoViFg 164
ruth/nlu/featurizers/dense_featurizers/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ruth/nlu/featurizers/dense_featurizers/dense_featurizer.py sha256=d7nUjqDQ8Xxva3s_k4HhlSFS4y2OyuRtdFPNQCJMmiQ 459
ruth/nlu/featurizers/dense_featurizers/fast_text.py sha256=Gri6ezmsbJ1eetAOWrMw6RP8DvnPjtzzInZsHSsInEo 4907
ruth/nlu/featurizers/sparse_featurizers/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ruth/nlu/featurizers/sparse_featurizers/constants.py sha256=IsID6NDyEGIa2gDfmWv5kPiLLxxBaMcTLBH47jYkYuo 40
ruth/nlu/featurizers/sparse_featurizers/count_vector_featurizer.py sha256=98BchyrT2YsJJUMogEalOf15oEZJupqWYxSnG-wD0YA 5852
ruth/nlu/featurizers/sparse_featurizers/sparse_featurizer.py sha256=qKza2d1QBs3OWZtcu9ZdIwvoOOF8UNQgiynbqtfOwtg 874
ruth/nlu/featurizers/sparse_featurizers/tfidf_vector_featurizer.py sha256=VL1Q_F04IHkzbKyOqgXjmKICwrwvxnWahoSGb5bUctQ 5711
ruth/nlu/tokenizer/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ruth/nlu/tokenizer/constants.py sha256=xjRgUoDaGI4wsA7mUEEYJ8LnR6YjWW0VAx62_o5sB7M 44
ruth/nlu/tokenizer/hf_tokenizer.py sha256=1_QsuIYOYXBPeMAKmQb9qErnhmI1rdbGm8tnZdzpn0Q 3383
ruth/nlu/tokenizer/tokenizer.py sha256=tQHUi5Q6AoehH6h5R75q7Gg9p-if_OFVeyX3q0nXkO0 1827
ruth/nlu/tokenizer/whitespace_tokenizer.py sha256=o3Fl_wNYTFQPyYjcUSPAQIbWm8mK6b8PQ_--7OeYqps 1017
ruth/shared/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ruth/shared/constants.py sha256=ImQk_M0207AYraM5LsAiT8qRKHGGU3G4QXHLuPc4qgw 637
ruth/shared/utils.py sha256=SM28Fd4SbcAYzPO-gXbWgrV4Pn4nawbsGmEcb1YCOWY 1695
ruth/shared/nlu/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ruth/shared/nlu/training_data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ruth/shared/nlu/training_data/collections.py sha256=tEGQyiej8ki4SqPp0flSQ9v5ycWhqr33pEBauIWLq_o 1525
ruth/shared/nlu/training_data/feature.py sha256=cUuztvvRE37aome-lmI950JR7fqw0pft2feIu1XhTtQ 2108
ruth/shared/nlu/training_data/ruth_config.py sha256=J4VToGZSrmOyd2UjC4w2nt1qvIjoM5K_rFXAXHibYn0 1323
ruth/shared/nlu/training_data/ruth_data.py sha256=jUKvhCSNIMwRKGZJLI14wwfVtqoKlM-agvyYyoflaJc 1869
ruth/shared/nlu/training_data/tokens.py sha256=nz7eY2gC95bb96U2wId7OrU6WenQC7I-MZs8ACsK3P8 364
ruth/shared/nlu/training_data/utils.py sha256=lGWsgNWekmu1wJzhFEIoIt_fRzsG5BMyBwW2V8GKUJc 494
ruth_python-0.0.8.dist-info/METADATA sha256=mSq1-ZrJyyFGejAWRd5s7Jx0a_GJQifiIZ-kSzLkXNE 8685
ruth_python-0.0.8.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
ruth_python-0.0.8.dist-info/entry_points.txt sha256=HGSXES20A3b0T9oX7xHvKh4gt9LtlyQppCKJQSo0Vx4 49
ruth_python-0.0.8.dist-info/top_level.txt sha256=sjBmPIXGhxLRlM60n_SiqNe5LyFt44zzZ9ZlN6pQf_A 5
ruth_python-0.0.8.dist-info/RECORD — —

top_level.txt

ruth

entry_points.txt

[console_scripts]
ruth = ruth.cli.cli:entrypoint