Name
evaluate_class_svmT_evaluate_class_svmEvaluateClassSvmevaluate_class_svmEvaluateClassSvmEvaluateClassSvm — Evaluate a feature vector by a support vector machine.
evaluate_class_svmevaluate_class_svmEvaluateClassSvmevaluate_class_svmEvaluateClassSvmEvaluateClassSvm calculates for a feature vector
provided in FeaturesFeaturesFeaturesFeaturesFeaturesfeatures the ResultResultResultResultResultresult given
a SVM in SVMHandleSVMHandleSVMHandleSVMHandleSVMHandleSVMHandle. The operator evaluate_class_svmevaluate_class_svmEvaluateClassSvmevaluate_class_svmEvaluateClassSvmEvaluateClassSvm
can only be used if the SVM was created in the Mode =
'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.
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
Result of evaluating the feature vector with the SVM.
If the parameters are valid the operator evaluate_class_svmevaluate_class_svmEvaluateClassSvmevaluate_class_svmEvaluateClassSvmEvaluateClassSvm
returns the value 2 (H_MSG_TRUE). If necessary, an exception is
raised.
train_class_svmtrain_class_svmTrainClassSvmtrain_class_svmTrainClassSvmTrainClassSvm,
read_class_svmread_class_svmReadClassSvmread_class_svmReadClassSvmReadClassSvm
create_class_svmcreate_class_svmCreateClassSvmcreate_class_svmCreateClassSvmCreateClassSvm
Foundation