[scikit-learn] Is something wrong with this gridsearchCV?

[Carlton Banks]

I haven’t a verbosity level in the code?… but set it to 3 as suggested by Julio… It did not seem to work.. 

https://www.dropbox.com/s/nr5rattzts0wuvd/Screenshot%20from%202017-03-16%2017%3A56%3A26.png?dl=0

> Den 16. mar. 2017 kl. 17.51 skrev Carlton Banks <noflaco at gmail.com>:
> 
> Ohh.. actually the data size cannot be wrong.. 
> input_train and output_train are both lists… which i then only take a part of … and then make then to a np.array…
> 
> So that should not be incorrect. 
> 
>> Den 16. mar. 2017 kl. 17.33 skrev Carlton Banks <noflaco at gmail.com <mailto:noflaco at gmail.com>>:
>> 
>> I am running this on a super computer, so yes  I am running a few training sessions. 
>> I guess i will look at the verbose, and the adjust the training data size. 
>> 
>>> Den 16. mar. 2017 kl. 17.30 skrev Julio Antonio Soto de Vicente <julio at esbet.es <mailto:julio at esbet.es>>:
>>> 
>>> IMO this has nothing to do with GridSearchCV itself...
>>> 
>>> It rather looks like different (verbose) keras models are being trained simultaneously, and therefore "collapsing" your stdout.
>>> 
>>> I recommend setting Keras verbosity level to 3, in order to avoid printing the progress bars during GridSearchCV (which can be misleading).
>>> 
>>> --
>>> Julio
>>> 
>>> El 16 mar 2017, a las 16:50, Carlton Banks <noflaco at gmail.com <mailto:noflaco at gmail.com>> escribió:
>>> 
>>>> I am currently using grid search to optimize my keras model… 
>>>> 
>>>> Something seemed  a bit off during the training?
>>>> 
>>>> https://www.dropbox.com/s/da0ztv2kqtkrfpu/Screenshot%20from%202017-03-16%2016%3A43%3A42.png?dl=0 <https://www.dropbox.com/s/da0ztv2kqtkrfpu/Screenshot%20from%202017-03-16%2016:43:42.png?dl=0>
>>>> 
>>>> For some reason is the training for each epoch not done for all datapoints?… 
>>>> 
>>>> What could be wrong?
>>>> 
>>>> Here is the code:
>>>> 
>>>> http://pastebin.com/raw/itJFm5a6 <http://pastebin.com/raw/itJFm5a6>
>>>> 
>>>> Anything that seems off?
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>> 
> 

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