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take-icusecases

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0.0.3 take_icusecases-0.0.3-py3-none-any.whl

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Project: take-icusecases
Version: 0.0.3
Filename: take_icusecases-0.0.3-py3-none-any.whl
Download: [link]
Size: 13720
MD5: 5dc3ee3a1e68e3f1d836ee23f402b79b
SHA256: 930b9f1af77ccc643a8bd238f2c69c788314b58e679c74178cd2950b4a3e5a80
Uploaded: 2022-08-16 15:27:35 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: take-icusecases
Version: 0.0.3
Summary: A clustering based approach to inferring the use case of an intelligent contact. Developed by A3Data, packaged by D&A Research - Take Blip.
Author: A3Data / Data & Analytics Research
Author-Email: <analytics.dar[at]take.net>
Maintainer: daresearch
License: MIT License
Keywords: take blip,intelligent contact,use cases,clustering
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Requires-Dist: datetime
Requires-Dist: gensim (==3.8.3)
Requires-Dist: joblib
Requires-Dist: mlflow
Requires-Dist: numpy (==1.19.2)
Requires-Dist: pandas
Requires-Dist: pathlib2
Requires-Dist: requests
Requires-Dist: scipy
Requires-Dist: seaborn
Requires-Dist: spacy
Requires-Dist: statsmodels
Requires-Dist: tqdm
Requires-Dist: TakeSentenceTokenizer (==1.0.2)
Requires-Dist: scikit-learn (==0.24.1)
Description-Content-Type: text/markdown
[Description omitted; length: 160 characters]

WHEEL

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

RECORD

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takeusecases/ml/model/wrapper.py sha256=EhqRW0i1p1_MTbXn76wvxBQhxlt1F2go-NCxlpkbydU 8616
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takeusecases/ml/preprocessing/text_vectorizer.py sha256=DisZN2AMln16VMFOwKP3TJzOalI2K4eQwKEDjs5TMaQ 7091
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take_icusecases-0.0.3.dist-info/RECORD — —

top_level.txt

takeusecases