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SVM_ClassifySingle

Classifies input features based on a trained model

Syntax

void avl::SVM_ClassifySingle
(
	const avl::SvmModel& inSvmModel,
	const atl::Array<atl::real>& inVector,
	int& outPrediction,
	atl::Optional<atl::Array< int >& > outModelClasses,
	atl::Optional<atl::Array<atl::real>& > outClassProbabilities
)

void SVM_ClassifySingle
(
	AvlNet.SvmModel inSvmModel,
	float[] inVector,
	out int outPrediction,
	out int[] outModelClasses,
	out float[] outClassProbabilities
)

Parameters

Name	Type	Description
inSvmModel	const SvmModel&	Input trained model
inVector	const Array<real>&	Data vector of unknown class
outPrediction	int&	Predicted classes
outModelClasses	Optional<Array< int >& >	All known model classes in order
outClassProbabilities	Optional<Array<real>& >	For each data vector the probability of belonging to each class

Errors

Error type	Description
DomainError	Incorrect, uninitialized or not trained SvmModel in SVM_ClassifySingle.
DomainError	Incorrect vector size in SVM_ClassifySingle