Factual package intelligence from PyPI

hypershap 0.0.6 package intelligence

HyperSHAP is a post-hoc explanation method for hyperparameter optimization.

pip install hypershap

Current version
0.0.6
Python requirement
<4.0,>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
501.7 KiB
Release history
7 releases with files
Median release cadence
7 days

hypershap dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. configspace >=1.2.1
  2. matplotlib >=3.10.5
  3. networkx >=3.4.2
  4. numpy >=2.2.6
  5. scikit-learn >=1.7.1
  6. shapiq ==1.4.1

Compatibility and release files

hypershap publishes 1 wheel and 1 source archive for version 0.0.6. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.

Metadata completeness

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

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .