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Design Space Profiler

I'm working a JMP partner who is preparing to show the Design Space Profiler (DSP) at an upcoming conference. Need assistance with clarifying the two questions below:

1) The random uniform distribution used by DSP has no random seed setting so every launch of DSP will produce different inspec portion & volume portion results, is this true or is there a way to obtain repeatable results?

2) Why is DSP not available from the profiler for tree-based models? I believe it's because a tree based model could produce a very narrow range of factor settings for predictions which would make getting a good estimate difficult, is this the reason?

Thanks for your assistance!

Re: Design Space Profiler

1) I haven't found one. I'd like to know if there is a way to do this. You can link the the DSP to a random table. In that respect, you can get repeated results.

2) Save the Prediction Formula and open it in Profiler under Graph. The only place that I know of where you can't get the DSP is in Fit Group.