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explainerdashboard allows you quickly build an interactive dashboard to explain the inner workings of your machine learning model.
It includes: - Model summary statistics - SHAP values (importances, individual contributions, dependence plots, interaction plots, etc) - permutation importances - partial dependence plots - DecisionTree visualizers
You can display an interactive dashboard with all of these features with only three lines of code.
A deployed example can be found at http://titanicexplainer.herokuapp.com
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