@CodeReview(reviewer="Justin Basilico", date="2006-10-04", changesNeeded=false, comments="Minor documentaMtion changes.") public class MeanSquaredErrorCostFunction extends AbstractSupervisedCostFunction<Vector,Vector> implements DifferentiableCostFunction
| Constructor and Description |
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MeanSquaredErrorCostFunction()
Creates a new instance of MeanSquaredErrorCostFunction with no initial
dataset.
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MeanSquaredErrorCostFunction(java.util.Collection<? extends InputOutputPair<? extends Vector,Vector>> dataset)
Creates a new instance of MeanSquaredErrorCostFunction
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| Modifier and Type | Method and Description |
|---|---|
MeanSquaredErrorCostFunction |
clone()
This makes public the clone method on the
Object class and
removes the exception that it throws. |
Vector |
computeParameterGradient(GradientDescendable function)
Differentiates function with respect to its parameters.
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java.lang.Double |
evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends Vector,? extends Vector>> data)
Evaluates the performance accuracy of the given estimates against the
given targets.
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evaluate, getCostParameters, setCostParameters, summarizeevaluatePerformanceequals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitevaluate, getCostParameters, setCostParameterssummarizeevaluatePerformancepublic MeanSquaredErrorCostFunction()
public MeanSquaredErrorCostFunction(java.util.Collection<? extends InputOutputPair<? extends Vector,Vector>> dataset)
dataset - The dataset of examples to use to compute the error.public MeanSquaredErrorCostFunction clone()
AbstractCloneableSerializableObject class 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 ObjectUtil may 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.clone in interface CostFunction<Evaluator<? super Vector,? extends Vector>,java.util.Collection<? extends InputOutputPair<? extends Vector,Vector>>>clone in interface CloneableSerializableclone in class AbstractSupervisedCostFunction<Vector,Vector>public java.lang.Double evaluatePerformance(java.util.Collection<? extends TargetEstimatePair<? extends Vector,? extends Vector>> data)
SupervisedPerformanceEvaluatorevaluatePerformance in interface SupervisedPerformanceEvaluator<Vector,Vector,Vector,java.lang.Double>evaluatePerformance in class AbstractSupervisedCostFunction<Vector,Vector>data - The target-estimate pairs to use to evaluate performance.public Vector computeParameterGradient(GradientDescendable function)
DifferentiableCostFunctioncomputeParameterGradient in interface DifferentiableCostFunctionfunction - The object to differentiate.