sparsebm

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1.6.7 sparsebm-1.6.7-py3-none-any.whl

Wheel Details

Project: sparsebm
Version: 1.6.7
Filename: sparsebm-1.6.7-py3-none-any.whl
Download: [link]
Size: 37884
MD5: f1e44f00bef977230b51ee3253c370dc
SHA256: f4ba270ccd74edbde6bdf6845db6fb78c72e084893ad2524b665659038b40123
Uploaded: 2023-07-17 13:50:31 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: sparsebm
Version: 1.6.7
Summary: An implementation of Stochastic Bloc model and Latent Block model efficient with sparse matrices
Author-Email: Gabriel Frisch <gabriel.frisch[at]hds.utc.fr>, Jean-Benoist Leger <jbleger[at]hds.utc.fr>
Maintainer-Email: Jean-Benoist Leger <jbleger[at]hds.utc.fr>
Project-Url: Repository, https://gitlab.com/jbleger/sparsebm
Project-Url: Documentation, https://jbleger.gitlab.io/sparsebm
License: MIT License
Keywords: datamining,graph,LBM,SBM,variationnal,sparse
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=3.7
Requires-Dist: progressbar2
Requires-Dist: matplotlib
Requires-Dist: scipy
Requires-Dist: numpy
Requires-Dist: gputil
Requires-Dist: scikit-learn
Requires-Dist: sphinx (<7); extra == "build-doc"
Requires-Dist: sphinx-argparse; extra == "build-doc"
Requires-Dist: m2r2; extra == "build-doc"
Requires-Dist: sphinx-rtd-theme; extra == "build-doc"
Requires-Dist: pandas; extra == "build-doc"
Requires-Dist: rpy2; extra == "experiments"
Requires-Dist: cupy; extra == "gpu"
Requires-Dist: pytest; extra == "tests"
Provides-Extra: build-doc
Provides-Extra: experiments
Provides-Extra: gpu
Provides-Extra: tests
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4313 characters]

WHEEL

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Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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sparsebm-1.6.7.dist-info/RECORD

top_level.txt

sparsebm

entry_points.txt

sparsebm = sparsebm._entry_point:main