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CNU
CNU
Level I

Equation for the defect profiler found in the simulator

Is there a way to access the equation for the defect profiler found in the simulator?

CNU_0-1649072027632.png

 

 

I wish to able to visualize this analysis in the contour profiler, in the same way as with other prediction formulas.

1 ACCEPTED SOLUTION

Accepted Solutions
Byron_JMP
Staff

Re: Equation for the defect profiler found in the simulator

Under the Simulator red triangle menu, choose Simulation Experiment.

Leave the number or runs at 128, don't change it to any larger number.

Proportion of factor space default is 50%, maybe change that to 100%. (type in a "1")

 

After its done running, run the script for the Gaussian process model in the data table

Please note that there is an option in blue text called "Transfer factor Settings Back" that will change the profiler in the previous step to match the settings you're using to minimize defects in the GP model.  

 

 

to get the GP model:

https://community.jmp.com/t5/Discussions/How-to-get-JMP-Gaussian-process-prediction-model-equation/t...

..and documentation:

https://www.jmp.com/support/help/en/16.2/#page/jmp/gaussian-process.shtml#

 

JMP Systems Engineer, Health and Life Sciences (Pharma)

View solution in original post

1 REPLY 1
Byron_JMP
Staff

Re: Equation for the defect profiler found in the simulator

Under the Simulator red triangle menu, choose Simulation Experiment.

Leave the number or runs at 128, don't change it to any larger number.

Proportion of factor space default is 50%, maybe change that to 100%. (type in a "1")

 

After its done running, run the script for the Gaussian process model in the data table

Please note that there is an option in blue text called "Transfer factor Settings Back" that will change the profiler in the previous step to match the settings you're using to minimize defects in the GP model.  

 

 

to get the GP model:

https://community.jmp.com/t5/Discussions/How-to-get-JMP-Gaussian-process-prediction-model-equation/t...

..and documentation:

https://www.jmp.com/support/help/en/16.2/#page/jmp/gaussian-process.shtml#

 

JMP Systems Engineer, Health and Life Sciences (Pharma)