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tno.sdg.tabular.eval.utility-metrics

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0.3.0 tno.sdg.tabular.eval.utility_metrics-0.3.0-py3-none-any.whl

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Project: tno.sdg.tabular.eval.utility-metrics
Version: 0.3.0
Filename: tno.sdg.tabular.eval.utility_metrics-0.3.0-py3-none-any.whl
Download: [link]
Size: 36362
MD5: 46db09cd2d73134b821b9062780374a5
SHA256: 4c6b8568f1e2dc162d7f5c79c87e88568813b45367ce655c932efb77dc1f9cf6
Uploaded: 2024-02-28 13:22:59 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: tno.sdg.tabular.eval.utility_metrics
Version: 0.3.0
Summary: Utility metrics for tabular data
Author-Email: TNO PET Lab <petlab[at]tno.nl>
Maintainer-Email: TNO PET Lab <petlab[at]tno.nl>
Project-Url: Homepage, https://pet.tno.nl/
Project-Url: Documentation, https://docs.pet.tno.nl/sdg/tabular/eval/utility-metrics/0.3.0
Project-Url: Source, https://github.com/TNO-SDG/tabular.eval.utility_metrics
License: Apache License, Version 2.0
Keywords: TNO,SDG,synthetic data,synthetic data generation,tabular,evaluation,utility
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: Typing :: Typed
Classifier: Topic :: Scientific/Engineering
Platform: any
Requires-Python: >=3.8
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pandas-stubs
Requires-Dist: plotly
Requires-Dist: scikit-learn
Requires-Dist: seaborn
Requires-Dist: statsmodels
Requires-Dist: pytest; extra == "tests"
Provides-Extra: tests
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 7604 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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tno/sdg/tabular/eval/utility_metrics/bivariate_distributions.py sha256=VOvlXV16TDvO4sGu0b3v3JG_YZdVg2sRKaOCjHploGc 6096
tno/sdg/tabular/eval/utility_metrics/distinguishability.py sha256=846VKMoeAyWPai9LutRzfu4KCs-ceGutne28chgoyDk 8165
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tno/sdg/tabular/eval/utility_metrics/test/__init__.py sha256=honcynkqtossWBAAtUShjH-GaxDP3S32Cnjk5lfa9wY 325
tno/sdg/tabular/eval/utility_metrics/test/test_bivariate_correlations.py sha256=ltS-tG4znT_i4ECmDFChTb4r1e5xmgzC-IJqA032iPQ 4986
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tno/sdg/tabular/eval/utility_metrics/test/test_spiderplot.py sha256=CNmNKth5ZHvcoYptuNgqNXbPI0LsQnqpY9khu2XX3KM 2779
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tno.sdg.tabular.eval.utility_metrics-0.3.0.dist-info/RECORD — —

top_level.txt

tno