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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