Factual package intelligence from PyPI

mlexplainer 1.0.2 package intelligence

Advanced Machine Learning package dedicated to model interpretability, with a primary focus on leveraging Shapley values for explaining complex predictive models.

pip install mlexplainer

Current version
1.0.2
Python requirement
<4.0,>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
72.0 KiB
Release history
7 releases with files
Median release cadence
5 days

mlexplainer dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. coverage <8.0.0,>=7.8.0
  2. matplotlib <4.0.0,>=3.10.1
  3. numpy <3.0.0,>=1.24.2
  4. pandas <3.0.0,>=2.2.3
  5. pyarrow <20.0.0,>=19.0.1
  6. seaborn <0.14.0,>=0.13.2
  7. shap <0.48.0,>=0.47.1
  8. xgboost <4.0.0,>=3.0.4

Compatibility and release files

mlexplainer publishes 1 wheel and 1 source archive for version 1.0.2. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13, 3.14.

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 .