Factual package intelligence from PyPI

whyshift 0.1.3 package intelligence

A package of various specified distribution shift patterns of out-of-distributoin generalization problem on tabular data, and tools for diagnosing model performance are integrated.

pip install whyshift

Current version
0.1.3
Python requirement
>=3
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
79.4 KiB
Release history
10 releases with files
Median release cadence
1 days

whyshift dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas
  2. numpy
  3. scikit-learn
  4. lightgbm
  5. xgboost
  6. fairlearn
  7. tqdm
  8. torch
  9. scipy

Compatibility and release files

whyshift publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .