evaluate_class_svmT_evaluate_class_svmEvaluateClassSvmEvaluateClassSvmevaluate_class_svm (Operator)

Name

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

Signature

Description

evaluate_class_svmevaluate_class_svmEvaluateClassSvmEvaluateClassSvmEvaluateClassSvmevaluate_class_svm calculates for a feature vector provided in FeaturesFeaturesFeaturesFeaturesfeaturesfeatures the ResultResultResultResultresultresult given a SVM in SVMHandleSVMHandleSVMHandleSVMHandleSVMHandlesvmhandle. The operator evaluate_class_svmevaluate_class_svmEvaluateClassSvmEvaluateClassSvmEvaluateClassSvmevaluate_class_svm can only be used if the SVM was created in the ModeModeModeModemodemode = 'novelty-detection'"novelty-detection""novelty-detection""novelty-detection""novelty-detection""novelty-detection". If the feature vector lies in the class, a ResultResultResultResultresultresult value bigger 1.0 is returned. If the feature vector lies outside the class boundary, e.g., is an outlier, a value smaller 1.0 is returned.

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

Result

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

Possible Predecessors

train_class_svmtrain_class_svmTrainClassSvmTrainClassSvmTrainClassSvmtrain_class_svm, read_class_svmread_class_svmReadClassSvmReadClassSvmReadClassSvmread_class_svm

See also

create_class_svmcreate_class_svmCreateClassSvmCreateClassSvmCreateClassSvmcreate_class_svm

Module

Foundation