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

[Carlton Banks]

ahh.. makes sense.. but would have hoped i could parelize it as i have so many cores to run on.. 
> Den 16. mar. 2017 kl. 18.05 skrev Julio Antonio Soto de Vicente <julio at esbet.es>:
> 
> Your code is perfectly fine.
> 
> You are training 10 networks in parallel (since you have n_jobs=10), so each network started training in its own, and outputing its progress independently.
> 
> Given enough amount of time, you will see that all 10 networks will eventually get to epoch number 2, and 10 messages of epoch #2 will be printed out.
> 
> --
> Julio
> 
> El 16 mar 2017, a las 17:59, Carlton Banks <noflaco at gmail.com <mailto:noflaco at gmail.com>> escribió:
> 
>> 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 <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 <mailto: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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