# ComputeSVMError

A special evaluation operator used for obtaining some results for the regression SVM. Values in TheTargetValueAttribute are compared to those in ThePredictedValueAttribute. The average loss is determined taking the asymmetric loss function into account. That is why the SVM parameters are needed here as well. Note that they must have the same value as for the operator `SupportVectorMachineForRegression`, which must have preceded this evaluation operator in the chain.

ParameterName | ObjType | Type | Remarks
TheInputConcept | CON | IN | inherited
TheTargetValueAttribute | BA | IN | actual values
ThePredictedValueAttribute | BA | IN | predicted values
LossFunctionPos | V | IN | (same values
LossFunctionNeg | V | IN | as in SVM-
Epsilon | V | IN | ForRegression)