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SVM_ClassifyMultiple
Classifies input points based on trained model
Syntax
void avl::SVM_ClassifyMultiple ( const avl::SvmModel& inSvmModel, const atl::Array<atl::Array<float> >& inVectorArray, atl::Array< int >& outPredictions, atl::Optional<atl::Array< int >& > outModelClasses, atl::Optional<atl::Array<atl::Array<float>>& > outClassProbabilities )
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 >& > | All known model classes in order | ||
outClassProbabilities | Optional<Array<Array<float>>& > | For 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 |