[SciPy-user] how to stop optimization when using optimize.fmin_l_bfgs_b()

Rob Clewley rob.clewley@gmail....
Tue Nov 11 20:00:40 CST 2008

Assuming you have access to 'func' so that you can modify it, just
raise an exception when it detects errors. I think that should stop
the optimization immediately. Maybe define your own subtype of
exception, or just raise a ValueError, AssertionError or whatever
seems most appropriate.

On Tue, Nov 11, 2008 at 8:16 PM, Wolfgang Meyer
<wolfgang.meyer@gmail.com> wrote:
> In the optimization function
> scipy.optimize.fmin_l_bfgs_b(func, x0, fprime=None, args=(), approx_grad=0,
> bounds=None, m=10, factr=10000000.0, pgtol=1.0000000000000001e-05,
> epsilon=1e-08, iprint=-1, maxfun=15000)
>>>func<< is a function to minimize. Suppose during the optimization process
>>> I detect some errors inside >>func<< and want to stop the optimization
>>> process, how should I manoeuvre?  Maybe return some random values from
>>> >>func<<? The same question for >>fprime<<: what should I do to break the
>>> optimization process when I realized errors inside fprime?
> Thanks!
> --
> Wolfgang Meyer

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