gov.sandia.cognition.statistics.method

Class DistributionParameterEstimator.DistributionWrapper

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.statistics.method.DistributionParameterEstimator.DistributionWrapper

All Implemented Interfaces:

Evaluator<Vector,java.lang.Double>, DifferentiableEvaluator<Vector,java.lang.Double,Vector>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

DistributionParameterEstimator<DataType,DistributionType extends ClosedFormDistribution<? extends DataType>>

protected class DistributionParameterEstimator.DistributionWrapper
extends AbstractCloneableSerializable
implements Evaluator<Vector,java.lang.Double>, DifferentiableEvaluator<Vector,java.lang.Double,Vector>

Maps the parameters of a Distribution and a CostFunction into a Vector/Double Evaluator.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected CostFunction<? super DistributionType,? super java.util.Collection<? extends DataType>>	costFunction Cost function to use in the minimization procedure
protected DistributionType	distribution Distribution to estimate the parameters of

Constructor Summary

Constructors

Constructor and Description
DistributionWrapper(DistributionType distribution, CostFunction<? super DistributionType,? super java.util.Collection<? extends DataType>> costFunction) Creates a new instance of DistributionWrapper

Method Summary

Modifier and Type	Method and Description
DistributionParameterEstimator.DistributionWrapper	clone() This makes public the clone method on the Object class and removes the exception that it throws.
Vector	differentiate(Vector input) Differentiates the output with respect to the input
java.lang.Double	evaluate(Vector input) Evaluates the function on the given input and returns the output.

Methods inherited from class java.lang.Object

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

Field Detail

distribution

protected DistributionType extends ClosedFormDistribution<? extends DataType> distribution

Distribution to estimate the parameters of

costFunction

protected CostFunction<? super DistributionType extends ClosedFormDistribution<? extends DataType>,? super java.util.Collection<? extends DataType>> costFunction

Cost function to use in the minimization procedure

Constructor Detail

DistributionWrapper

public DistributionWrapper(DistributionType distribution,
                           CostFunction<? super DistributionType,? super java.util.Collection<? extends DataType>> costFunction)

Creates a new instance of DistributionWrapper

Parameters:

distribution - Distribution to estimate the parameters of

costFunction - Cost function to use in the minimization procedure

Method Detail

clone

public DistributionParameterEstimator.DistributionWrapper clone()

Description copied from class: AbstractCloneableSerializable

This makes public the clone method on the Object 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.

Specified by:

clone in interface CloneableSerializable

Overrides:

clone in class AbstractCloneableSerializable

Returns:

A clone of this object.

evaluate

public java.lang.Double evaluate(Vector input)

Description copied from interface: Evaluator

Evaluates the function on the given input and returns the output.

Specified by:

evaluate in interface Evaluator<Vector,java.lang.Double>

Parameters:

input - The input to evaluate.

Returns:

The output produced by evaluating the input.

differentiate

public Vector differentiate(Vector input)

Description copied from interface: DifferentiableEvaluator

Differentiates the output with respect to the input

Specified by:

differentiate in interface DifferentiableEvaluator<Vector,java.lang.Double,Vector>

Parameters:

input - Input about which to compute the derivative

Returns:

Derivative of the output with respect to the given input