How … batchsize could also be 1, I’ve just stored it like that. But how do reshape me data to be a matrix.. thats the big question.. is possible?
> Den 1. maj 2017 kl. 02.21 skrev Joel Nothman <joel.noth...@gmail.com>: > > Do each of your 33 inputs have a batch of size 100? If you reshape your data > so that it all fits in one matrix, and then split it back out into its 33 > components as the first transformation in a Pipeline, there should be no > problem. > > On 1 May 2017 at 10:17, Joel Nothman <joel.noth...@gmail.com > <mailto:joel.noth...@gmail.com>> wrote: > Sorry, I don't know enough about keras and its terminology. > > Scikit-learn usually limits itself to datasets where features and targets are > a rectangular matrix. > > But grid search and other model selection tools should allow data of other > shapes as long as they can be indexed on the first axis. You may be best off, > however, getting support from the Keras folks. > > On 30 April 2017 at 23:23, Carlton Banks <nofl...@gmail.com > <mailto:nofl...@gmail.com>> wrote: > It seems like scikit-learn is not able to handle network with multiple > inputs. > Keras documentation states: > > You can use Sequential Keras models (single-input only) as part of your > Scikit-Learn workflow via the wrappers found at > keras.wrappers.scikit_learn.py <http://keras.wrappers.scikit_learn.py/>. > > But besides what the wrapper can do.. can scikit-learn really not handle > multiple inputs?.. > > >> Den 30. apr. 2017 kl. 14.18 skrev Carlton Banks <nofl...@gmail.com >> <mailto:nofl...@gmail.com>>: >> >> The shapes are >> >> print len(train_input) >> print train_input[0].shape >> print train_output.shape >> >> 33 >> (100, 8, 45, 3) >> (100, 1, 145) >> >> 100 is the batch-size.. >>> Den 30. apr. 2017 kl. 12.57 skrev Joel Nothman <joel.noth...@gmail.com >>> <mailto:joel.noth...@gmail.com>>: >>> >>> Scikit-learn should accept a list as X to grid search and index it just >>> fine. So I'm not sure that constraint applies to Grid Search >>> >>> On 30 April 2017 at 20:11, Julio Antonio Soto de Vicente <ju...@esbet.es >>> <mailto:ju...@esbet.es>> wrote: >>> Tbh I've never tried, but I would say that te current sklearn API does not >>> support multi-input data... >>> >>> El 30 abr 2017, a las 12:02, Joel Nothman <joel.noth...@gmail.com >>> <mailto:joel.noth...@gmail.com>> escribió: >>> >>>> What are the shapes of train_input and train_output? >>>> >>>> On 30 April 2017 at 12:59, Carlton Banks <nofl...@gmail.com >>>> <mailto:nofl...@gmail.com>> wrote: >>>> I am currently trying to run some gridsearchCV on a keras model which has >>>> multiple inputs. >>>> The inputs is stored in a list in which each entry in the list is a input >>>> for a specific channel. >>>> >>>> >>>> Here is my model and how i use the gridsearch. >>>> >>>> https://pastebin.com/GMKH1L80 <https://pastebin.com/GMKH1L80> >>>> >>>> The error i am getting is: >>>> >>>> https://pastebin.com/A3cB0rMv <https://pastebin.com/A3cB0rMv> >>>> >>>> Any idea how i can resolve this? >>>> >>>> >>>> >>>> _______________________________________________ >>>> scikit-learn mailing list >>>> scikit-learn@python.org <mailto:scikit-learn@python.org> >>>> https://mail.python.org/mailman/listinfo/scikit-learn >>>> <https://mail.python.org/mailman/listinfo/scikit-learn> >>>> >>>> >>>> _______________________________________________ >>>> scikit-learn mailing list >>>> scikit-learn@python.org <mailto:scikit-learn@python.org> >>>> https://mail.python.org/mailman/listinfo/scikit-learn >>>> <https://mail.python.org/mailman/listinfo/scikit-learn> >>> >>> _______________________________________________ >>> scikit-learn mailing list >>> scikit-learn@python.org <mailto:scikit-learn@python.org> >>> https://mail.python.org/mailman/listinfo/scikit-learn >>> <https://mail.python.org/mailman/listinfo/scikit-learn> >>> >>> >>> _______________________________________________ >>> scikit-learn mailing list >>> scikit-learn@python.org <mailto:scikit-learn@python.org> >>> https://mail.python.org/mailman/listinfo/scikit-learn >>> <https://mail.python.org/mailman/listinfo/scikit-learn> >> > > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org <mailto:scikit-learn@python.org> > https://mail.python.org/mailman/listinfo/scikit-learn > <https://mail.python.org/mailman/listinfo/scikit-learn> > > > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn
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