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 <[email protected]>: > > 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 <[email protected] >> <mailto:[email protected]>>: >> >> 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 >>> <[email protected] <mailto:[email protected]>>: >>> >>> 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 <[email protected] >>> <mailto:[email protected]>> 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? >>>> _______________________________________________ >>>> scikit-learn mailing list >>>> [email protected] <mailto:[email protected]> >>>> https://mail.python.org/mailman/listinfo/scikit-learn >>>> <https://mail.python.org/mailman/listinfo/scikit-learn> >>> _______________________________________________ >>> scikit-learn mailing list >>> [email protected] <mailto:[email protected]> >>> https://mail.python.org/mailman/listinfo/scikit-learn >>> <https://mail.python.org/mailman/listinfo/scikit-learn> >> >
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