Hi to all, yesterday I have use OpenCv SVM classifier with Optimization Parameter.
When I use it, it change automaticaly the Cost and Gamma value like a Grid search. However, when I see documentation, it seems to be mainly cross validation and not grid search. But, when I see otbSVMMachineLearningModel.txx there is train_auto in 94 row. This train_auto is maybe linked to grid search. Unfortunatly I am not opencv and OTB code expert. So I would like to know If at last this optimization parameter is the grid search in OTB ? 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, > -- -- Check the OTB FAQ at http://www.orfeo-toolbox.org/FAQ.html You received this message because you are subscribed to the Google Groups "otb-users" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/otb-users?hl=en --- You received this message because you are subscribed to the Google Groups "otb-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
