shap.plots.bar

shap.plots.bar(shap_values, max_display=10, order=shap.Explanation.abs, clustering=None, clustering_cutoff=0.5, merge_cohorts=False, show_data='auto', show=True)

Create a bar plot of a set of SHAP values.

If a single sample is passed, then we plot the SHAP values as a bar chart. If an Explanation with many samples is passed, then we plot the mean absolute value for each feature column as a bar chart.

Parameters:

shap_valuesshap.Explanation or shap.Cohorts or dictionary of shap.Explanation objects

A single row of a SHAP Explanation object (i.e. shap_values[0]) or a multi-row Explanation object that we want to summarize.

max_displayint

How many top features to include in the bar plot (default is 10).

showbool

Whether matplotlib.pyplot.show() is called before returning. Setting this to False allows the plot to be customized further after it has been created.

Examples

See bar plot examples.