Factual package intelligence from PyPI

machine-learning-with-graph 0.0.3 package intelligence

A comprehensive package for graph-based machine learning algorithms.

pip install machine-learning-with-graph

Current version
0.0.3
Python requirement
>=3.7
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
22.4 KiB
Release history
3 releases with files
Median release cadence
1 days

machine-learning-with-graph dependencies

PyPI declares 29 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. certifi ==2023.11.17
  2. charset-normalizer ==3.3.2
  3. colorama ==0.4.6
  4. dgl ==1.1.2
  5. filelock ==3.13.1
  6. fsspec ==2023.12.0
  7. gensim ==4.3.2
  8. idna ==3.6
  9. iniconfig ==2.0.0
  10. Jinja2 ==3.1.2
  11. joblib ==1.3.2
  12. MarkupSafe ==2.1.3
  13. mpmath ==1.3.0
  14. networkx ==3.2.1
  15. numpy ==1.26.2
  16. packaging ==23.2
  17. pluggy ==1.3.0
  18. psutil ==5.9.6
  19. pytest ==7.4.3
  20. requests ==2.31.0
  21. scikit-learn ==1.3.2
  22. scipy ==1.11.4
  23. smart-open ==6.4.0
  24. sympy ==1.12
  25. threadpoolctl ==3.2.0

The compact report shows 25 of 29 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

machine-learning-with-graph publishes 1 wheel and 1 source archive for version 0.0.3. Wheel platform tags: any.

Declared Python classifiers: 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .