<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">Ohh.. actually the data size cannot be wrong.. <div class="">input_train and output_train are both lists… which i then only take a part of … and then make then to a np.array…</div><div class=""><br class=""></div><div class="">So that should not be incorrect. </div><div class=""><br class=""><div><blockquote type="cite" class=""><div class="">Den 16. mar. 2017 kl. 17.33 skrev Carlton Banks <<a href="mailto:noflaco@gmail.com" class="">noflaco@gmail.com</a>>:</div><br class="Apple-interchange-newline"><div class=""><meta http-equiv="Content-Type" content="text/html charset=utf-8" class=""><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">I am running this on a super computer, so yes I am running a few training sessions. <div class="">I guess i will look at the verbose, and the adjust the training data size. </div><div class=""><br class=""><div class=""><blockquote type="cite" class=""><div class="">Den 16. mar. 2017 kl. 17.30 skrev Julio Antonio Soto de Vicente <<a href="mailto:julio@esbet.es" class="">julio@esbet.es</a>>:</div><br class="Apple-interchange-newline"><div class=""><meta http-equiv="content-type" content="text/html; charset=utf-8" class=""><div dir="auto" class=""><div class="">IMO this has nothing to do with GridSearchCV itself...</div><div class=""><br class=""></div><div class="">It rather looks like different (verbose) keras models are being trained simultaneously, and therefore "collapsing" your stdout.</div><div class=""><br class=""></div><div class="">I recommend setting Keras verbosity level to 3, in order to avoid printing the progress bars during GridSearchCV (which can be misleading).<br class=""><br class="">--<div class="">Julio</div></div><div class=""><br class="">El 16 mar 2017, a las 16:50, Carlton Banks <<a href="mailto:noflaco@gmail.com" class="">noflaco@gmail.com</a>> escribió:<br class=""><br class=""></div><blockquote type="cite" class=""><div class=""><meta http-equiv="Content-Type" content="text/html charset=utf-8" class="">I am currently using grid search to optimize my keras model… <div class=""><br class=""></div><div class="">Something seemed a bit off during the training?</div><div class=""><br class=""></div><div class=""><a href="https://www.dropbox.com/s/da0ztv2kqtkrfpu/Screenshot%20from%202017-03-16%2016:43:42.png?dl=0" class="">https://www.dropbox.com/s/da0ztv2kqtkrfpu/Screenshot%20from%202017-03-16%2016%3A43%3A42.png?dl=0</a></div><div class=""><br class=""></div><div class="">For some reason is the training for each epoch not done for all datapoints?… </div><div class=""><br class=""></div><div class="">What could be wrong?</div><div class=""><br class=""></div><div class="">Here is the code:</div><div class=""><br class=""></div><div class=""><a href="http://pastebin.com/raw/itJFm5a6" class="">http://pastebin.com/raw/itJFm5a6</a></div><div class=""><br class=""></div><div class="">Anything that seems off?</div></div></blockquote><blockquote type="cite" class=""><div class=""><span class="">_______________________________________________</span><br class=""><span class="">scikit-learn mailing list</span><br class=""><span class=""><a href="mailto:scikit-learn@python.org" class="">scikit-learn@python.org</a></span><br class=""><span class=""><a href="https://mail.python.org/mailman/listinfo/scikit-learn" class="">https://mail.python.org/mailman/listinfo/scikit-learn</a></span><br class=""></div></blockquote></div>_______________________________________________<br class="">scikit-learn mailing list<br class=""><a href="mailto:scikit-learn@python.org" class="">scikit-learn@python.org</a><br class=""><a href="https://mail.python.org/mailman/listinfo/scikit-learn" class="">https://mail.python.org/mailman/listinfo/scikit-learn</a><br class=""></div></blockquote></div><br class=""></div></div></div></blockquote></div><br class=""></div></body></html>