Is it not what I have given to salidas_capa3?
I am really thankful for your help, really, really thankful.
El viernes, 29 de julio de 2016, 4:00:51 (UTC+2), Jesse Livezey escribió:
>
> I think you just want to do
>
> for i in range(n_test_batches):
> test_losses = [test_model(i)]
> y_pred_test = salidas_capa3(i)
> print y_pred_test
>
>
> The salidas_capa3 function expects a minibatch index as an argument.
>
> On Wednesday, July 27, 2016 at 11:27:08 PM UTC-7, Beatriz G. wrote:
>>
>> I am not able of extract the value of that function at that point, I have
>> debugged and I I have gotten the results of test_model in the attached pic.
>>
>> Thank you for your help.
>>
>>
>>
>> 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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