Neural network scripting

Question

So I've been doing some work with neural networks, and it's a bit of a pain having to go through the whole process every time I want to change K-fold or the number of hidden layers. So, what I'd like to to is write a script that will take an open spreadsheet, take a range of values for K-fold and number of hidden layers, stopping when R-squared reaches a specified threshold. Is this possible, or is there a simpler way to do it?

AndyP · Answer

Brilliant - thanks very much for the assistance.

Mark_Bailey · Answer

The message to launch the Neural platform returns a reference to this object. Save it in a variable, e.g., nn. That object is the analysis layer. It understands messages about computation. You need to ask the analysis layer for the reference to its associated report layer. Save this in a variable, e.g., nnr. Now, you can subscript this reference to locate any point in the display tree.

Names Default to Here( 1 );

dt = Open( "$SAMPLE_DATA/Big Class.jmp" );

nn = dt << Neural(
	Y( :weight ),
	X( :age, :sex, :height ),
	Informative Missing( 0 ),
	Validation Method( "Holdback", 0.3333 ),
	Fit( NTanH( 3 ) )
);

nnr = nn << Report;

train r sqr = nnr["Training"][NumberColBox(1)] << Get( 1 );
valid r sqr = nnr["Validation"][NumberColBox(1)] << Get( 1 );

AndyP · Answer

Correct - I want the script to stop when a certain threhold R-squared value is reached, so I need to get this value somehow, and it's not clear from the documentation how to do this.