From the neural platform you can save the formula to your table
![jthi_0-1708977045434.png jthi_0-1708977045434.png](https://community.jmp.com/t5/image/serverpage/image-id/61500i7F3324F25E445B5B/image-size/medium?v=v2&px=400)
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