Or better:
http://scikit-learn.org/stable/auto_examples/svm/plot_svm_anova.html
2012/11/9 Alexandre Gramfort :
>> The solution is to use a Pipeline that is passed to the cross_val_score
>> instead of the estimator
>
> yes and here is an example
>
> http://scikit-learn.org/0.11/auto_examples/svm/p
> The solution is to use a Pipeline that is passed to the cross_val_score
> instead of the estimator
yes and here is an example
http://scikit-learn.org/0.11/auto_examples/svm/plot_svm_anova.html
Alex
--
Everyone hates s
I've answered my own question.
The solution is to use a Pipeline that is passed to the cross_val_score instead
of the estimator
Matti Lyra
DPhil Student
Text Analytics Group
Chichester 1, R203
School of Engineering and Informatics
University of Sussex
Brighton,
I was looking at the cross validation code for scikits
(sklearn.crossvalidation.cross_val_score) and noticed that there doesn't seem
to a way of doing feature selection within a cross validation loop.
Is this indeed the case, or am I missing something?
Matti Lyr