Hello Vlad,
Yes 18 it is just for Debugging because I have implemented a Locally
Weighted Bag Of Words that requires several Gaussian PDFs to Smooth out
the Data and it is a quite time consuming process. So 18 is just enough
for Debugging. Later will uses about 800 etc.
Train_Y is a list size 18 (with int(1) objects).
Best Regrds,
Dimitrios
On 03/27/2012 08:07 PM, Vlad Niculae wrote:
> Hello Dimitrios
>
> You only have 18 samples? What is the shape of your train_Y?
>
> Best,
> Vlad
>
> On Mar 27, 2012, at 19:31 , Dimitrios Pritsos wrote:
>
>> Hello,
>>
>> While I am svm.sparse.SVC with a scipy.sparse.csr_matrix the following
>> error occurs:
>>
>> File
>> "/home/dimitrios/Development_Workspace/webgenreidentification/src/experiments_lowbow.py",
>> line 115, in evaluate
>> csvm.fit(train_X, train_Y)
>> File "/usr/local/lib/python2.6/dist-packages/sklearn/svm/sparse/base.py",
>> line 22, in fit
>> return super(SparseBaseLibSVM, self).fit(X, y, sample_weight)
>> File "/usr/local/lib/python2.6/dist-packages/sklearn/svm/base.py", line
>> 145, in fit
>> fit(X, y, sample_weight)
>> File "/usr/local/lib/python2.6/dist-packages/sklearn/svm/base.py", line
>> 294, in _sparse_fit
>> int(self.shrinking), int(self.probability))
>> File "libsvm_sparse.pyx", line 158, in
>> sklearn.svm.libsvm_sparse.libsvm_sparse_train (svm/libsvm_sparse.c:1927)
>> File "/usr/lib/python2.6/dist-packages/scipy/sparse/compressed.py", line
>> 75, in __init__
>> self.shape = shape # spmatrix will check for errors
>> File "/usr/lib/python2.6/dist-packages/scipy/sparse/base.py", line 71, in
>> set_shape
>> raise ValueError('invalid shape')
>> ValueError: invalid shape
>>
>> However, the .shape of my matrix Train_X is 18 x 7500 and the is
>> scipy.sparse.isspmatrix_csr( train_X ) is TRUE. The Train_Y is a list of 18
>> int objects.
>>
>> So, what might be the problem?
>>
>> I am fighting with this for few hours but I cannot find the cause of this
>> error.
>>
>> Regards,
>>
>> Dimitrios
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