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