Factual package intelligence from PyPI

xgboost2ww 0.1.1 package intelligence

Compute WeightWatcher-style correlation matrices (W1/W2/W7/W8) for XGBoost via OOF margin increments.

pip install xgboost2ww

Current version
0.1.1
Python requirement
>=3.9
License
Apache Software License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
44.0 KiB
Release history
2 releases with files
Median release cadence
32 days

xgboost2ww dependencies

PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.23
  2. xgboost >=1.7
  3. scikit-learn >=1.2

Compatibility and release files

xgboost2ww publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .