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AVL.SVM_ClassifyMultiple Method

Classifies input points based on trained model

Namespace:AvlNet
Assembly:AVL.NET.dll

Syntax

public static void SVM_ClassifyMultiple(
	AvlNet.SvmModel inSvmModel,
	float[][] inVectorArray,
	out int[] outPredictions,
	out int[] outModelClasses,
	out float[][] outClassProbabilities
)

Parameters

Name Type Range Default Description
inSvmModelAvlNet.SvmModelInput trained model.
inVectorArrayfloatData vector array of unknown classes.
outPredictionsintPredicted classes.
outModelClassesintAll known model classes in order
outClassProbabilitiesfloatFor each data vector the probability of belonging to each class

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

Error type Description
DomainError Incorrect, uninitialized or not trained SvmModel in SVM_ClassifyMultiple.
DomainError Empty vector array in SVM_ClassifyMultiple.
DomainError Incorrect vector size in SVM_Classify

See also