Can you try if it segfaults on X[5000:6000] and if so, it would be
great if you could send me the ndarray - then I can reproduce the
error and see what's wrong.

2011/11/3 Andreas Müller <[email protected]>:
> On 11/03/2011 06:10 PM, Peter Prettenhofer wrote:
>> Hi Andreas,
>>
>> can you run the following line and send me the results (assume your
>> data is stored in `X`)::
>>
>>     print X.flags
>>
> train_data.flags
>  C_CONTIGUOUS : True
>  F_CONTIGUOUS : False
>  OWNDATA : True
>  WRITEABLE : True
>  ALIGNED : True
>  UPDATEIFCOPY : False
>
> Seems reasonable to me.
> Thanks,
> Andy
>
>> 2011/11/3 Andreas Müller <[email protected]>:
>>> Hi folks.
>>> Today I ran across a segfault doing sgd multi class classification.
>>> I tracked the error down to sgd_fast but don't know how to proceed.
>>> My data has shape (50000, 13824) and is dense, the parameters
>>> of the classifier are:
>>> SGDClassifier(loss="hinge", penalty="l2")
>>>
>>> I ran it through scaler and the features seem to be in a reasonable
>>> range and there are no infs or nans.
>>> If I train only on the first 5000 of the 13824 features, I get
>>> reasonable results, for 6000 it segfaults. The features split
>>> into three parts of equal lenght and training on any of
>>> these parts works fine.
>>>
>>> My RAM is big and empty during the crash.
>>>
>>> Does anyone have any idea how to find the problem?
>>>
>>> Cheers,
>>> Andy
>>>
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>>
>>
>
>
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-- 
Peter Prettenhofer

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