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Hi all,

can I use a "by" variable with n levels in neural network analysis?

I have already tried to insert a "by" variable with n levels in the analysis but I cannot save the predicted values for each level.

Thank you in advance for your reply

BR

Maria

Re: predicted values in neural networks

Retaining column formulas in the concatenated data table would be tricky because they are not the same formulas in the multiple tables. A single column can only have one formula.

To get around this, you could create a formula with an If() statement where the "then" clauses are the by group formulas... Something like this:

If( :sex == "F", pred formula "F", :sex == "M", pred formula "M" )

To do that, you'd probably do the concatenation of the tables and then create the formulas and add them to the Predicted Value and Hidden Node columns after the fact.

Re: predicted values in neural networks

I like your method, but I wish the Predicted Value and Hidden Node columns would retain their formulas after the by groups are concatenated into one data table.

How would you retain column formulas in the concatenated data table?

Re: predicted values in neural networks

Hi Maria,

Thanks for using JMP!  I'm sorry that you have been inconvenienced by this issue.  It is a known issue that may be fixed in a future version of JMP.

In the meantime, here is a possible workaround that might help.  I've used the Big Class sample data table to illustrate the concept.