Factual package intelligence from PyPI

graph-jpr 0.1.1 package intelligence

Joint partial regression method for sparse inverse covariance estimation.

pip install graph-jpr

Current version
0.1.1
Python requirement
>=3.8
License
MIT License
Distribution type
Includes compiled wheel
Release files
2 (1 wheels, 1 source)
Download size
15.5 MiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

graph-jpr 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

graph-jpr publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: win_amd64.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .