What is the value of test_model(i) at that point? I think it should be an
array of indices.
On Wednesday, July 27, 2016 at 1:52:27 AM UTC-7, Beatriz G. wrote:
>
> Hi Jesse, thank you for your reply.
>
> I have tried to use it when I test:
>
> #Aqui se tiene que cargar la red
>
> layer0.W.set_value(w0_test)
> layer0.b.set_value(b0_test)
>
> layer1.W.set_value(w1_test)
> layer1.b.set_value(b1_test)
>
> layer2.W.set_value(w2_test)
> layer2.b.set_value(b2_test)
>
> # test it on the test set
> for i in range(n_test_batches):
> test_losses = [test_model(i)]
> y_pred_test = salidas_capa3[test_model(i)]
> print y_pred_test
> test_score = numpy.mean(test_losses)
>
> print((' test error of best model %f %%') % (test_score * 100.))
>
>
>
> but I get the following error:
>
>
> Traceback (most recent call last):
> File "/home/beaa/Escritorio/Theano/Separando_Lenet.py", line 414, in
> <module>
> evaluate_lenet5()
> File "/home/beaa/Escritorio/Theano/Separando_Lenet.py", line 390, in
> evaluate_lenet5
> y_pred_test = salidas_capa3[test_model(i)]
> File
> "/home/beaa/.local/lib/python2.7/site-packages/theano/compile/function_module.py",
> line 545, in __getitem__
> return self.value[item]
> File
> "/home/beaa/.local/lib/python2.7/site-packages/theano/compile/function_module.py",
> line 480, in __getitem__
> s = finder[item]
> TypeError: unhashable type: 'numpy.ndarray'
>
>
>
> and I do not know what produces it.
>
>
> Regards
>
>
> El miércoles, 27 de julio de 2016, 2:29:24 (UTC+2), Jesse Livezey escribió:
>>
>> You should be able to use this function to output y_pred
>>
>> salidas_capa3 = theano.function(
>> [index],
>> layer3.y_pred,
>> givens={
>> x: test_set_x[index * batch_size: (index + 1) * batch_size],
>> }
>> )
>>
>>
>> On Monday, July 25, 2016 at 3:09:09 AM UTC-7, Beatriz G. wrote:
>>>
>>> Hi, anyone knows how to get the test labels that the classifier has
>>> given to the data?
>>>
>>> I would like to extrat the data that has not been well classified.
>>>
>>> Regards.
>>>
>>
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