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

[Carlton Banks]

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>:
> 
> 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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