Hi Preethi, I have managed to get it through R, using raster, caret and randomForest packages. Simply extract raw statistics and ingest them into R. After that, use OTB for actual RF classification and accuracy assessment.
HTH, Bambang On Wednesday, November 8, 2017 at 11:10:20 PM UTC+11, preet.balaji20 wrote: > > Hi all, > > Is there a way to generate variable importance plot in otb? The > otbcli_TrainImagesClassifier for random forests has these options > -classifier.rf.max > -classifier.rf.min > -classifier. rf.ra > -classifier.rf.cat > -classifier.rf.var > -classifier.rf.nbtrees > -classifier.rf.acc > > How do I specify an option to compute the variable importance plot from rf > classifier here? > > Thanks a million! > > Regards > Preethi > -- -- 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.
