[SciPy-User] optimize.fmin_cobyla giving nan to objective function

[Ralf Gommers]

On Tue, Aug 2, 2011 at 9:53 PM, Gustavo Goretkin <gustavo.goretkin at gmail.com
> wrote:

> Okay here is a much simpler test case: https://gist.github.com/1121046
>
> The print statements, for me, show that *objective* is being passed nan.
> Does this warrant a ticket? Should I continue this discussion on the
> development list?
>
> Your function always returns inf, so it's not very surprising that you get
a nan after a few iterations. Could happen for example if the code
determines a derivative numerically, resulting in inf / inf = nan.

It would be helpful if you had a realistic, self-contained example.

Ralf

Gustavo
>
> On Mon, Aug 1, 2011 at 6:06 PM, Gustavo Goretkin <
> gustavo.goretkin at gmail.com> wrote:
>
>> The code depends on scikit-learn. I'll post the issue there if you think
>> the problem is related to that module. My thinking is that fmin_cobyla
>> shouldn't be feeding nan to the objective function.
>>
>> The code that causes the exception is gp_error.py . I made a change to one
>> of the functions in scikit-learn, so I just included that file too. Just
>> keep both files in the same directory.
>>
>> Thanks for the help.
>>
>> Gustavo
>>
>>
>>
>> On Mon, Aug 1, 2011 at 3:49 PM, Christopher Jordan-Squire <
>> cjordan1 at uw.edu> wrote:
>>
>>> Could you send the code that's causing the problem?
>>>
>>> -Chris Jordan-Squire
>>>
>>> On Mon, Aug 1, 2011 at 2:23 PM, Gustavo Goretkin <
>>> gustavo.goretkin at gmail.com> wrote:
>>>
>>>> I am using the Gaussian Process module in scikit-learn. It uses
>>>> optimize.fmin_cobyla to find the best hyper-parameters. It looks like,
>>>> though, that fmin_cobyla is, after a couple of iterations, feeding nan to
>>>> the objective function. Any ideas?
>>>>
>>>> scipy.__version__ = '0.10.0.dev7180'
>>>>
>>>> Thanks,
>>>> Gustavo
>>>>
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>>>
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>>
>
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