gov.sandia.cognition.learning.function.cost

Class KolmogorovSmirnovDivergence<DataType extends java.lang.Number>

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.function.cost.AbstractCostFunction<UnivariateDistribution<DataType>,java.util.Collection<? extends DataType>>

gov.sandia.cognition.learning.function.cost.KolmogorovSmirnovDivergence<DataType>

Type Parameters:

DataType - Type of data generated by the Distribution

All Implemented Interfaces:

Evaluator<UnivariateDistribution<DataType>,java.lang.Double>, CostFunction<UnivariateDistribution<DataType>,java.util.Collection<? extends DataType>>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

public class KolmogorovSmirnovDivergence<DataType extends java.lang.Number>
extends AbstractCostFunction<UnivariateDistribution<DataType>,java.util.Collection<? extends DataType>>

CostFunction that induces a CDF that most-closely resembles the target distribution according to the Kolmogorov-Smirnov (K-S) test.

See Also:

Serialized Form

Field Summary

Fields inherited from class gov.sandia.cognition.learning.function.cost.AbstractCostFunction

costParameters

Constructor Summary

Constructors

Constructor and Description
KolmogorovSmirnovDivergence() Default constructor
KolmogorovSmirnovDivergence(java.util.Collection<? extends DataType> costParameters) Creates a new instance of KolmogorovSmirnovDivergence

Method Summary

Modifier and Type	Method and Description
java.lang.Double	evaluate(UnivariateDistribution<DataType> target) Computes the cost of the given target.

Methods inherited from class gov.sandia.cognition.learning.function.cost.AbstractCostFunction

clone, getCostParameters, setCostParameters

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

KolmogorovSmirnovDivergence

public KolmogorovSmirnovDivergence()

Default constructor

KolmogorovSmirnovDivergence

public KolmogorovSmirnovDivergence(java.util.Collection<? extends DataType> costParameters)

Creates a new instance of KolmogorovSmirnovDivergence

Parameters:

costParameters - Data generated by the target distribution

Method Detail

evaluate

public java.lang.Double evaluate(UnivariateDistribution<DataType> target)

Description copied from interface: CostFunction

Computes the cost of the given target.

Parameters:

target - The object to evaluate.

Returns:

The cost of the given object.