Hi Oliver,
Thanks, that works! Sorry for the dummy questions.
Cheers and thanks again,
Mathias
On Sat, Jan 28, 2012 at 12:38 PM, Olivier Grisel
<[email protected]>wrote:
> 2012/1/28 Mathias Verbeke <[email protected]>:
> > Hi Gael,
> >
> > Thanks for your quick answer. Your solution solved the error, but now I
> get
> > this:
> >
> > Traceback (most recent call last):
> > File "./svm_sklearn.py", line 43, in <module>
> > train(training_set_file_name, model_file_name)
> > File "./svm_sklearn.py", line 17, in train
> > clf.fit(X_train, y_train)
> > File
> >
> "/home/mathiasv/lib/python2.6/site-packages/scikit_learn-0.10-py2.6-linux-x86_64.egg/sklearn/svm/base.py",
> > line 175, in fit
> > X = np.asarray(X, dtype=np.float64, order='C')
> > File "/usr/lib/python2.6/dist-packages/numpy/core/numeric.py", line
> 230,
> > in asarray
> > return array(a, dtype, copy=False, order=order)
> > ValueError: setting an array element with a sequence.
> >
> > Would you have any idea how this is caused?
>
> This is because you are applying the dense SVC class to a sparse input
> set. Use sklearn.svm.sparse.SVC instead. Or clone the master where
> both classes have recently been merged into one.
>
> --
> Olivier
> http://twitter.com/ogrisel - http://github.com/ogrisel
>
>
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