tree to process:
root with
	C with values: vector=[2,4]
	kernel:"PowerKernel"
		degree with values: vector=[2,4]
		distance:"MinkowskiMetric"
			k with values: vector=[1,2]
	kernel:"GaussianKernel"
		width with values: vector=[2,4]
	kernel:"DistantSegmentsKernel"
		delta with values: vector=[2,4]
		theta with values: vector=[2,4]


tree to process:
root with
	kernel:"PowerKernel"
		distance:"MinkowskiMetric"
			k with values: vector=[2,3]
	kernel:"DistantSegmentsKernel"


tree to process:
root with
	kernel:"PowerKernel"
		distance:"MinkowskiMetric"
		distance:"EuclidianDistance"
	kernel:"DistantSegmentsKernel"


tree to process:
root with
	inference_method:"ExactInferenceMethod"
		likelihood_model:"GaussianLikelihood"
		kernel:"GaussianKernel"
		kernel:"PowerKernel"
	SVM:"LibSVM"
		kernel:"PowerKernel"
		kernel:"GaussianKernel"


tree to process:
root with
	C1 with values: vector=[2,4]
	inference_method:"ExactInferenceMethod"
		likelihood_model:"GaussianLikelihood"
		kernel:"GaussianKernel"
		kernel:"PowerKernel"
	SVM:"LibSVM"
		kernel:"PowerKernel"
		kernel:"GaussianKernel"


tree to process:
root with
	inference_method:"ExactInferenceMethod"
		likelihood_model:"GaussianLikelihood"
			sigma with values: vector=[4,8]
		kernel:"GaussianKernel"
			width with values: vector=[2,4]
		kernel:"LinearKernel"
		kernel:"PowerKernel"