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acryl-datahub-classify

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0.0.10 acryl_datahub_classify-0.0.10-py3-none-any.whl

Wheel Details

Project: acryl-datahub-classify
Version: 0.0.10
Filename: acryl_datahub_classify-0.0.10-py3-none-any.whl
Download: [link]
Size: 14139
MD5: 66a8ca83edffe74c35aa548b6e757692
SHA256: 9e7174d07eb4ecbe890e241aff3a3ec60c558b90e6e361c7e7c4cf280558a71e
Uploaded: 2024-03-12 20:31:44 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: acryl-datahub-classify
Version: 0.0.10
Summary: Library to predict info types for DataHub
Home-Page: https://datahubproject.io/
Project-Url: Documentation, https://datahubproject.io/docs/
Project-Url: Source, https://github.com/acryldata/datahub-classify
Project-Url: Changelog, https://github.com/acryldata/datahub-classify/releases
License: Apache License 2.0
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: Unix
Classifier: Operating System :: POSIX :: Linux
Classifier: Environment :: Console
Classifier: Environment :: MacOS X
Classifier: Topic :: Software Development
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Description-Content-Type: text/markdown
[Description omitted; length: 5699 characters]

WHEEL

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RECORD

Path Digest Size
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datahub_classify/constants.py sha256=DvzXalGHkwut3O4-2DhL2cseFM8O8JtL43jzXVbHxnQ 294
datahub_classify/helper_classes.py sha256=0PM_M66zLkyH2DTA7j6aRhWuIjFaVJV7kGPdLfm3inU 1004
datahub_classify/infotype_helper.py sha256=FNJfWr-XRykAxHdwn15o1k8tA8pAoqpUUFC_nK7v8U4 28236
datahub_classify/infotype_predictor.py sha256=ggIthThtIy5CGPCv4r0AoYDsHL8vJcUr5xv7hy3Hfu8 4968
datahub_classify/infotype_utils.py sha256=LmBwppYW0wqp3wfQfmVKe3cOV6GREevwWLsO52ggu5A 4011
datahub_classify/reference_input.py sha256=plziRYnG_ENJ7wQDWcFXC8LNpIENUfuvM1C5X6M_Urk 19872
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acryl_datahub_classify-0.0.10.dist-info/RECORD — —

top_level.txt

datahub_classify