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]>: > > 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] > https://mail.python.org/mailman/listinfo/scikit-learn
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