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. 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 <[email protected]>: > > 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 <[email protected] >> <mailto:[email protected]>>: >> >> 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 <[email protected] >> <mailto:[email protected]>> 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 <[email protected] >> <mailto:[email protected]>> escribió: >> >>> What are the shapes of train_input and train_output? >>> >>> On 30 April 2017 at 12:59, Carlton Banks <[email protected] >>> <mailto:[email protected]>> 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 >>> [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 >>> <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 >> <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 >
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