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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