| Name | Version | Summary | date |
| zoish |
5.0.4 |
Zoish is a Python package that streamlines machine learning by leveraging SHAP values for feature selection and interpretability, making model development more efficient and user-friendly. |
2024-02-07 07:24:26 |
| explainerdashboard |
0.4.5 |
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models. |
2023-12-17 19:42:38 |
| corr-shap |
0.0.2 |
This package is an extension of the KernelExplainer of shap package that explains the output of any machine learning model, taking into account dependencies between features. |
2023-11-14 11:04:28 |
| shap-app |
0.5.1 |
A comprehensive application for interpreting machine learning models using SHAP values |
2023-09-12 17:50:10 |
| RIM-interpret |
0.0.5 |
Interpretability metrics for machine learning models |
2023-08-21 04:01:17 |
| itershap |
0.1.1 |
Iterative feature selection method using SHAP values |
2023-08-16 08:56:45 |
| nexora |
0.0.3 |
This is an ML project in order to automate ML processes |
2023-05-09 14:48:05 |
| fastshap |
0.3.1 |
Fast SHAP kernel explainer |
2023-03-12 14:09:15 |
| baby-shap |
0.0.6 |
A stripped and opiniated version of Scott Lundberg's SHAP (SHapley Additive exPlanations) |
2023-01-30 08:00:51 |
| powershap |
0.0.9 |
Feature selection using statistical significance of shap values |
2023-01-12 15:56:25 |