oh hmm so if anyone wants to suggest additions to the script i'm all for
it. it's a horrible mess :) and i didn't have any success in running the
classifiers in parallel. ironically due to what i thought was an error
caused by it (which i now find to be the svm). ... besides things like
feature scaling ~ this is just a test one.
also anyone know any way to speed it up :P ? cross validations assume
you're running multiple in different threads? .... no?
run it overnight, you should see a seg fault on one of the svms when you
wake up
version: 12.1
https://github.com/RONNCC/Sandbox/tree/master/Misc/Allthemodels just run
sim_data.py
-- backupish ->
Script: http://pastie.org/5465841
data: ok so I don't know how to make this better so here's the whole thing,
the subsets don't always generate the error and as i try more it of course
grows gigantic ._.
thanks
On 2 December 2012 04:22, Mathieu Blondel <[email protected]> wrote:
>
> On Sun, Dec 2, 2012 at 5:44 PM, Ronnie Ghose <[email protected]>wrote:
>
>> So somehow while running an SVM model i'm getting a nice seg fault :(.
>>
>> http://pastie.org/5465679 is the last 50 lines of the strace file.....
>>
>> in specific it seems to be SVM with poly setting and degree=10. I'm
>> running it in 20000 numbers... then I tried to lower it to 1000 and still
>> got seg fault..
>>
>
> To help us reproduce your problem, it would be nice to give us:
> - the version of scikit-learn you're using
> - the script you're using
> - the data you're using (ideally a minimalistic subset that triggers the
> bug)
>
> Thanks,
> Mathieu
>
>
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