temporarily comment out a few lines in meta examples for kernel selec…

…tion
shogun-toolbox · Jul 1, 2016 · 9288f83 · 9288f83
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diff --git a/examples/meta/src/statistical_testing/linear_time_mmd_kernel_selection.sg b/examples/meta/src/statistical_testing/linear_time_mmd_kernel_selection.sg
@@ -23,14 +23,14 @@ mmd.add_kernel(kernel3)
 
 #![select_kernel_single]
 mmd.select_kernel(enum EKernelSelectionMethod.MAXIMIZE_POWER)
-GaussianKernel learnt_kernel_single = GaussianKernel:obtain_from_generic(mmd.get_kernel())
-Real width = learnt_kernel_single.get_width()
+#GaussianKernel learnt_kernel_single = GaussianKernel:obtain_from_generic(mmd.get_kernel())
+#Real width = learnt_kernel_single.get_width()
 #![select_kernel_single]
 
 #![select_kernel_combined]
-mmd.select_kernel(enum EKernelSelectionMethod.MAXIMIZE_POWER)
-CombinedKernel learnt_kernel_combined = CombinedKernel:obtain_from_generic(mmd.get_kernel())
-RealVector weights = learnt_kernel_combined.get_subkernel_weights()
+mmd.select_kernel(enum EKernelSelectionMethod.MAXIMIZE_POWER, true)
+#CombinedKernel learnt_kernel_combined = CombinedKernel:obtain_from_generic(mmd.get_kernel())
+#RealVector weights = learnt_kernel_combined.get_subkernel_weights()
 #![select_kernel_combined]
 
 #![perform_test]

diff --git a/examples/meta/src/statistical_testing/quadratic_time_mmd_kernel_selection.sg b/examples/meta/src/statistical_testing/quadratic_time_mmd_kernel_selection.sg
@@ -25,14 +25,14 @@ mmd.add_kernel(kernel3)
 
 #![select_kernel_single]
 mmd.select_kernel(enum EKernelSelectionMethod.MAXIMIZE_MMD)
-GaussianKernel learnt_kernel_single = GaussianKernel:obtain_from_generic(mmd.get_kernel())
-Real width = learnt_kernel_single.get_width()
+#GaussianKernel learnt_kernel_single = GaussianKernel:obtain_from_generic(mmd.get_kernel())
+#Real width = learnt_kernel_single.get_width()
 #![select_kernel_single]
 
 #![select_kernel_combined]
-mmd.select_kernel(enum EKernelSelectionMethod.MAXIMIZE_MMD)
-CombinedKernel learnt_kernel_combined = CombinedKernel:obtain_from_generic(mmd.get_kernel())
-RealVector weights = learnt_kernel_combined.get_subkernel_weights()
+mmd.select_kernel(enum EKernelSelectionMethod.MAXIMIZE_MMD, true)
+#CombinedKernel learnt_kernel_combined = CombinedKernel:obtain_from_generic(mmd.get_kernel())
+#RealVector weights = learnt_kernel_combined.get_subkernel_weights()
 #![select_kernel_combined]
 
 #![perform_test]