How does supports / contradicts work with continuous response variables

[timcdlucas]

With a continuous response (i.e. regression) plot_features classes each variable as supporting it contradicting the prediction. In classification this is easily understood. But I'm not sure how it works for continuous response data.

I'm guessing the continuous response is binned into quantiles (2 or more) and then those are used as classes as in the classification case.

Thanks in advance for the help and thanks for the package.