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) |