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FIL.SVM_ClassifyMultiple

Classifies input points based on trained model.

Namespace:FilNet
Assembly:FIL.NET.dll

Syntax

C++
C#
 
public static void SVM_ClassifyMultiple
(
	FilNet.SvmModel inSvmModel,
	IList<IList<float>> inVectorArray,
	IList<int> outPredictions,
	NullableRef<List<int>> outModelClasses,
	NullableRef<List<List<float>>> outClassProbabilities
)

Parameters

Name Type Range Default Description
inSvmModelFilNet.SvmModelInput trained model.
inVectorArraySystem.Collections.Generic.IList<System.Collections.Generic.IList<float>>Data vector array of unknown classes.
outPredictionsSystem.Collections.Generic.IList<int>Predicted classes.
outModelClassesFilNet.NullableRef<System.Collections.Generic.List<int>>All known model classes in order. Can be null to skip this parameter calculation.
outClassProbabilitiesFilNet.NullableRef<System.Collections.Generic.List<System.Collections.Generic.List<float>>>For each data vector the probability of belonging to each class. Can be null to skip this parameter calculation.

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:

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

Function Overrides

See also