Hi,
I can confirm that the optimisation parameter in OpenCV is equivalent to
grid search. It calls openCV train_auto method. See :
http://docs.opencv.org/modules/ml/doc/support_vector_machines.html
http://www.orfeo-toolbox.org/doxygen-current/otbSVMMachineLearningModel_8txx_source.html
(lines 85 to 95).
Regards,
Julien
Le 30/06/2014 12:49, CedricL a écrit :
Hi,
my collegue have done some test which seems to confirm that
optimization parameter in OpenCV algorithm is equivalent to grid search.
If it's confirma by anybody, it's a very good news for me because SVM
is powefull but, in my point of view, svm is not so powerfull without
grid search.
Can anybody confirm this ?
Thanks
Le lundi 23 septembre 2013 15:35:34 UTC+2, Hajar Benelcadi a écrit :
Hi,
I'm using LibSVM for classification. trying to use the function "
train image classifier"in both OTB-gui or Monteverdi2, the
function don't show the different parameters related to the
kernel, for exemple for the kernel "RBF" there is no "gamma
parameters" to tune in Monteverdi 2.
In order to optimize the classification parameters, is there any
possibility to do the "Cross Validation" and the "SVM grid
search"? and how?
Thank you,
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