[scikit-learn] gridsearchCV able to handle list of input?

[Carlton Banks]

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 <noflaco at 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.nothman at gmail.com <mailto:joel.nothman at 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 <julio at esbet.es <mailto:julio at 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.nothman at gmail.com <mailto:joel.nothman at gmail.com>> escribió:
>> 
>>> What are the shapes of train_input and train_output?
>>> 
>>> On 30 April 2017 at 12:59, Carlton Banks <noflaco at gmail.com <mailto:noflaco at 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?
>>> 
>>> 
>>> 
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