Each training example should have recent historical predictor variables and
the future state.
I would generate training data relatively often. One way to do that is to
take all points where you see instability and all minutes where you don't
see near future instability. There will be a fair bit of repetition which
you could decrease by looking only at a sampling of negative examples.
Millions of data points would be excellent.
On Mon, Jun 6, 2011 at 6:46 AM, Svetlomir Dimitrov Kasabov <
[EMAIL PROTECTED]> wrote: