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SVM_ClassifyMultiple

Header:	FIL.h
Namespace:	fil
Module:	FoundationPro

Classifies input points based on trained model.

Syntax

void fil::SVM_ClassifyMultiple
(
	const fil::SvmModel& inSvmModel,
	const ftl::Array<ftl::Array<float> >& inVectorArray,
	ftl::Array< int >& outPredictions,
	ftl::Optional<ftl::Array< int >& > outModelClasses = ftl::NIL,
	ftl::Optional<ftl::Array<ftl::Array<float>>& > outClassProbabilities = ftl::NIL
)

Parameters

Name	Type	Default	Description
inSvmModel	const SvmModel&		Input trained model
inVectorArray	const Array<Array<float> >&		Data vector array of unknown classes
outPredictions	Array< int >&		Predicted classes
outModelClasses	Optional<Array< int >& >	NIL	All known model classes in order
outClassProbabilities	Optional<Array<Array<float>>& >	NIL	For each data vector the probability of belonging to each class

Optional Outputs

The computation of following outputs can be switched off by passing value ftl::NIL to these parameters: outModelClasses, outClassProbabilities.

Description

The operation predicts classes for the given data points. It takes an array of data vectors (inVectorArray) as an argument. Each vector has to be of the same size as vectors used for training the model. The operation outputs predicted class (outPredictions) for each data vector.
outModelClasses are all class labels encountered during training.
outClassProbabilities provides, for each vector, estimated probability of this vector belonging to each class. Precisely, in each array the value under index i denotes probability of given vector belonging to the class outModelClasses[i].

Errors

List of possible exceptions: