cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • JMP will suspend normal business operations for our Winter Holiday beginning on Wednesday, Dec. 24, 2025, at 5:00 p.m. ET (2:00 p.m. ET for JMP Accounts Receivable).
    Regular business hours will resume at 9:00 a.m. ET on Friday, Jan. 2, 2026.
  • We’re retiring the File Exchange at the end of this year. The JMP Marketplace is now your destination for add-ins and extensions.

Discussions

Solve problems, and share tips and tricks with other JMP users.
Choose Language Hide Translation Bar
marta-simoes
Level II

Neural Networks - modeling details

Dear all,

 

I was getting deeper into the neural modeling in JMP, but I don't find any info on:

- training times? 

- loss in function of iteration/epoch for the model fitting?

 

Any help?

Happy Easter to everyone,

Kind regards,

Marta

Marta Simões
1 ACCEPTED SOLUTION

Accepted Solutions

Re: Neural Networks - modeling details

See the attached JMP white paper for methodological details.

View solution in original post

5 REPLIES 5

Re: Neural Networks - modeling details

See the attached JMP white paper for methodological details.

marta-simoes
Level II

Re: Neural Networks - modeling details

Thanks Mark!

Marta Simões
MathStatChem
Level VII

Re: Neural Networks - modeling details

You can also check out the book Building Better Models with JMP Pro which is currently available for free (see https://support.sas.com/en/books.html)  from SAS Press.  Chapter 7 is on Neural Networks.  

Ese_Omatsone
Level I

Re: Neural Networks - modeling details

I don't have JMP Pro.  I have JMP 16.

My question is - how/where can I change the output parameters that JMP provides after completing a neural network analysis.  I''m especially interested in seeing the RMSE and MAPE.  Or are RMSE and RASE the same thing?

Re: Neural Networks - modeling details

The standard report provides the RMSE. See the documentation. You do not need JMP Pro for this result.

 

You will not be able to use a data column in the validation role, use the informative missing option, more than the hyperbolic tangent activation function, or more than one hidden layer without JMP Pro.

Recommended Articles