Factual package intelligence from PyPI

StructuredGraphLearning 0.0.4 package intelligence

spectralGraphTopology provides estimators to learn k-component, bipartite, and k-component bipartite graphs from data by imposing spectral constraints on the eigenvalues and eigenvectors of the Laplacian and adjacency matrices. Those estimators leverage spectral properties of the

pip install structuredgraphlearning

Current version
0.0.4
Python requirement
Not declared
License
MIT
Distribution type
No wheel classification available
Release files
1 (0 wheels, 1 source)
Download size
6.8 KiB
Release history
4 releases with files
Median release cadence
0 days

StructuredGraphLearning dependencies

PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.

This release declares no required runtime dependencies in its PyPI metadata.

Compatibility and release files

StructuredGraphLearning publishes 0 wheels and 1 source archive for version 0.0.4. Wheel platform tags: No wheel platform tags.

Declared Python classifiers: 3.4, 3.5, 3.6, 3.7.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .