def summary_plot()

in sagemaker_notebook_instance/containers/dashboard/src/pages/global_page.py [0:0]

• 14 lines of code
• 6 McCabe index (conditional complexity)

def summary_plot(explanation_group, details, num_features, plot_placeholder):
    names = extract_feature_names(explanation_group)
    shap_values = [[r['explanation']['shap_values'][e] for e in names] for r in explanation_group]
    features = [[r['features'][e] for e in names] for r in explanation_group]
    plot_type = 'dot' if details else 'bar'
    shap.summary_plot(
        shap_values=np.array(shap_values),
        features=np.array(features),
        feature_names=names,
        max_display=num_features,
        plot_type=plot_type
    )
    plot_placeholder.pyplot(bbox_inches='tight')
    plt.clf()