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evaluate_class_svmEvaluateClassSvmEvaluateClassSvmevaluate_class_svmT_evaluate_class_svm🔗

Short description🔗

evaluate_class_svmEvaluateClassSvmEvaluateClassSvmevaluate_class_svmT_evaluate_class_svm — Evaluate a feature vector by a support vector machine.

Signature🔗

evaluate_class_svm( class_svm SVMHandle, real Features, out real Result )void EvaluateClassSvm( const HTuple& SVMHandle, const HTuple& Features, HTuple* Result )static void HOperatorSet.EvaluateClassSvm( HTuple SVMHandle, HTuple features, out HTuple result )def evaluate_class_svm( svmhandle: HHandle, features: Sequence[float] ) -> Sequence[float]

def evaluate_class_svm_s( svmhandle: HHandle, features: Sequence[float] ) -> floatHerror T_evaluate_class_svm( const Htuple SVMHandle, const Htuple Features, Htuple* Result )

HTuple HClassSvm::EvaluateClassSvm( const HTuple& Features ) const

HTuple HClassSvm.EvaluateClassSvm( HTuple features )

Description🔗

evaluate_class_svmEvaluateClassSvm calculates for a feature vector provided in Featuresfeaturesfeatures the Resultresultresult given a SVM in SVMHandleSVMHandlesvmhandle. The operator evaluate_class_svmEvaluateClassSvm can only be used if the SVM was created in the Modemodemode \(=\) 'novelty-detection'"novelty-detection". If the feature vector lies in the class, a Resultresultresult value bigger 1.01.0 is returned. If the feature vector lies outside the class boundary, e.g., is an outlier, a value smaller 1.01.0 is returned.

Execution information🔗

Execution information

  • Multithreading type: reentrant (runs in parallel with non-exclusive operators).

  • Multithreading scope: global (may be called from any thread).

  • Processed without parallelization.

Parameters🔗

SVMHandleSVMHandlesvmhandle (input_control) class_svm → (handle)HTuple (HHandle)HClassSvm, HTuple (IntPtr)HHandleHtuple (handle)

SVM handle.

Featuresfeaturesfeatures (input_control) real-array → (real)HTuple (double)HTuple (double)Sequence[float]Htuple (double)

Feature vector.

Resultresultresult (output_control) real(-array) → (real)HTuple (double)HTuple (double)Sequence[float]Htuple (double)

Result of evaluating the feature vector with the SVM.

Result🔗

If the parameters are valid the operator evaluate_class_svmEvaluateClassSvm returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.

Combinations with other operators🔗

Combinations

Possible predecessors

train_class_svmTrainClassSvm, read_class_svmReadClassSvm

See also

create_class_svmCreateClassSvm

Module🔗

Foundation