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bayesian-network-generator

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0.0.7 bayesian_network_generator-0.0.7-py3-none-any.whl

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Project: bayesian-network-generator
Version: 0.0.7
Filename: bayesian_network_generator-0.0.7-py3-none-any.whl
Download: [link]
Size: 12325
MD5: 6eb43651ac19f243624d5f5363405b59
SHA256: 0f481b265607711c16d9a3617816938905a9572c871c13f23676a3b965b56ca1
Uploaded: 2024-12-16 18:51:03 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: bayesian_network_generator
Version: 0.0.7
Summary: A random bayesian network generator
Author: Rudzani Mulaudzi
Author-Email: rudzani[at]mulaudzi.co.za
Home-Page: https://github.com/rudzanimulaudzi/bayesian_network_generator
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: networkx
Requires-Dist: pgmpy
Requires-Dist: matplotlib
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 7042 characters]

WHEEL

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

RECORD

Path Digest Size
bayesian_network_generator/__init__.py sha256=79Ih1151rfcqZdr7F8HSZSTs_iT2SKd1xCkehMsXeXs 19
bayesian_network_generator/core.py sha256=2MIqsNnESZ29HNjvZRku7m7zsuEizjMdORD-TR5X8vE 27654
tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/test_core.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
bayesian_network_generator-0.0.7.dist-info/LICENSE sha256=pAZXnNE2dxxwXFIduGyn1gpvPefJtUYOYZOi3yeGG94 1068
bayesian_network_generator-0.0.7.dist-info/METADATA sha256=NmaYOk0OIe1Z1l0c8i4Wp49shSdmzF9ia5tWOc1-5Mw 7932
bayesian_network_generator-0.0.7.dist-info/WHEEL sha256=PZUExdf71Ui_so67QXpySuHtCi3-J3wvF4ORK6k_S8U 91
bayesian_network_generator-0.0.7.dist-info/top_level.txt sha256=L9Qgn5Tcr5CpdN26TsEys6ZnOdpnTElLQlHqjhpxu3o 33
bayesian_network_generator-0.0.7.dist-info/RECORD — —

top_level.txt

bayesian_network_generator
tests