oegedijk/explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

PythonCSSdashboardplotlydashdata-scientistsmodel-predictionsinteractive-plotsinteractive-dashboardsxaiinner-workingsshapexplainerxai-libraryshap-valuespermutation-importances
This is stars and forks stats for /oegedijk/explainerdashboard repository. As of 26 Apr, 2024 this repository has 2073 stars and 293 forks.

explainerdashboard by: Oege Dijk This package makes it convenient to quickly deploy a dashboard web app that explains the workings of a (scikit-learn compatible) machine learning model. The dashboard provides interactive plots on model performance, feature importances, feature contributions to individual predictions, "what if" analysis, partial dependence plots, SHAP (interaction) values, visualisation of individual decision trees, etc. You can also interactively explore components of the dashboard...
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