From the neural platform you can save the formula to your table
and move it (or all of them, depending on your model) to other table if both have similarly named columns. Below is one example script
Names Default To Here(1);
dt = open("$SAMPLE_DATA/Big Class.jmp");
nn = dt << Neural(
Y(:sex),
X(:height, :weight),
Informative Missing(0),
Validation Method("Holdback", 0.3333),
Fit(NTanH(3))
);
cur_cols = dt << Get Column Names("String");
nn << (Fit[1] << Save Profile Formulas);
new_cols = dt << Get Column Names("String");
Remove From(new_cols, 1, N Items(cur_cols));
dt2 = Open("$SAMPLE_DATA/Big Class Families.jmp");
For Each({colname}, new_cols,
colscript = Column(dt, colname) << get script;
Eval(EvalExpr(
Send(dt2, Expr(colscript));
));
);
If you have JMP Pro you can also use Formula Depot which makes this maybe a bit easier.
-Jarmo