public class MeanL1CostFunction extends AbstractSupervisedCostFunction<Vector,Vector>
|Constructor and Description|
Creates a new instance of MeanL1CostFunction
|Modifier and Type||Method and Description|
This makes public the clone method on the
Evaluates the performance accuracy of the given estimates against the given targets.
evaluate, getCostParameters, setCostParameters, summarize
equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
public MeanL1CostFunction clone()
Objectclass and removes the exception that it throws. Its default behavior is to automatically create a clone of the exact type of object that the clone is called on and to copy all primitives but to keep all references, which means it is a shallow copy. Extensions of this class may want to override this method (but call
super.clone()to implement a "smart copy". That is, to target the most common use case for creating a copy of the object. Because of the default behavior being a shallow copy, extending classes only need to handle fields that need to have a deeper copy (or those that need to be reset). Some of the methods in
ObjectUtilmay be helpful in implementing a custom clone method. Note: The contract of this method is that you must use
super.clone()as the basis for your implementation.
CostFunction<Evaluator<? super Vector,? extends Vector>,java.util.Collection<? extends InputOutputPair<? extends Vector,Vector>>>
public java.lang.Double evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends Vector,? extends Vector>> data)
data- The target-estimate pairs to use to evaluate performance.