I was looking at the
scipy.minimize documentation to see if I could find a way to terminate optimization when the loss gets below some cut-off, and I couldn't see an obvious way to do it.
The callback option only lets me pass it the
xk, but I need to pass additional parameters to evaluate my loss.
Any thoughts on a straightforward way to do this?