use 2-norm for mkl regression R example

shogun-toolbox · Dec 12, 2011 · a05d132 · a05d132
1 parent 8d20d53
commit a05d132
Showing 1 changed file with 3 additions and 1 deletion.
diff --git a/examples/undocumented/r_static/mkl_regression_sine.R b/examples/undocumented/r_static/mkl_regression_sine.R
@@ -10,6 +10,7 @@ library(sg)
 # Parameter for the SVMs.
 C          <- 10        # obtained via model selection (not included in the script)
 cache_size <- 10
+mkl_norm   <- 2
 mkl_eps    <- 1e-3  # threshold for precision
 svm_eps    <- 1e-3
 svr_tube_eps   <- 1e-2
@@ -41,7 +42,8 @@ for (kk in 1:length(f)) {   # big loop for the different learning problems
 
   # initialize MKL-SVR
   sg('new_classifier', 'MKL_REGRESSION')
-  sg('mkl_parameters', mkl_eps, 0)
+  sg('mkl_parameters', mkl_eps, 0, mkl_norm)
+
   sg('c', C)                
   sg('svm_epsilon', svm_eps)
   sg('svr_tube_epsilon', svr_tube_eps)