Factual package intelligence from PyPI

vertibench 0.1.2 package intelligence

A tool for benchmarking vertical federated learning algorithms, containing synthetic data split and data evaluation.

pip install vertibench

Current version
0.1.2
Python requirement
Not declared
License
Apache Software License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
49.7 KiB
Release history
4 releases with files
Median release cadence
6 days

vertibench dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib <4,>=3.7
  2. numpy <3,>=2.1
  3. pymoo <0.6.1.6,>=0.6.1
  4. scikit-learn <2,>=1.6
  5. scipy <2,>=1.10
  6. shap <1,>=0.50.0
  7. torch <3,>=2.0

Compatibility and release files

vertibench publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.

Declared Python classifiers: 3.10.

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 ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .