My intention with this was to shrink my dataset, to make the grid search a bit faster, and easier to go through… I guess I’ve tackled the wrong way... > Den 16. mar. 2017 kl. 17.27 skrev Sebastian Raschka <[email protected]>: > > I am not using Keras and don’t know how nicely it plays with sklearn objects > these days, but you are not giving all the data to the grid search object, > which is why your model doesn’t get to see the whole dataset during grid > search; i.e., you have `np.asarray(input_train[:-(len(input_train)/1000)]` > >> On Mar 16, 2017, at 11:50 AM, Carlton Banks <[email protected]> wrote: >> >> 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 >> >> 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 >> >> Anything that seems off? >> _______________________________________________ >> scikit-learn mailing list >> [email protected] >> 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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