prediction profiling / optimization in knime?


I was wondering if there are tools or workflows for exploring and optimizing target prediction for different values of features after building a model. I’ve used other tools that can:

1- Interactively change the values of the features to see the effect on the prediction
2- Run an optimization of target prediction given the features and maybe constraints

If this is not clear, I’m pretty much looking for the capabilities shown in the short video here:

This is probably one of the last capabilities I’m trying to move over to knime from other tools

Maybe if I rephrase my question a little differently? After building a model, what do you do if you want to find the best/range of features that maximize the target for example?