Re: [R] Multiclass SVM

I think kernlab can do. Also the svmlight implementation that has a rather crude interface in package klaR. Uwe Ligges On 20.05.2010 01:48, Xiyan Lon wrote: I am learning classification using SVM for research (survey). The data that I have had some class. I know that the library (e1071) can o

[R] Multiclass SVM

I am learning classification using SVM for research (survey). The data that I have had some class. I know that the library (e1071) can only handle multiclass with one-against-one-method. I want to know are there any other functions or library which can handle multiclass methods like: - multiclass S

[R] multiclass SVM (e1071 package): number of estimated models

Dear John, there *are* indeed 3 classifiers trained, as you can see from predict(model, iris, decision.values = TRUE) However, the coefficients are stored in a compressed format -- see svminternals.txt in the /doc subdirectory. Best David - I run multiclass SVM for iris dat

[R] multiclass SVM (e1071 package): number of estimated models

Hi, I run multiclass SVM for iris data, which contains 3 classes (manual page 52). Based on manual, the implementation uses one-against-one approach: k*(k-1)/2 binary classifiers trained. However, I am getting only two models instead of three (only two columns of support vectors and coefficients)