FastTreeSHAP summary_plot plots interaction value instead of impact on model output

[arilwan]

I am using FastTreeSHAP to help explained my random forest model prediction having over 40K samples and 24 features.

explainer = fasttreeshap.TreeExplainer(model, algorithm='auto' ,n_jobs=-1)
shap_values = explainer(X_test).values

shap_values.shape
(40682, 24, 5)

# plotting
fasttreeshap.summary_plot(shap_values, X_test, plot_type = 'bar')

The output figure is (showing top-5 features interaction):

I expected output figure to look similar to below image (FastTreeSHAP docs).

Is there any change in the summary_plot() method?