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

java.lang.Object
  extended by gov.sandia.cognition.util.AbstractCloneableSerializable
      extended by gov.sandia.cognition.statistics.method.DistributionParameterEstimator.DistributionWrapper
All Implemented Interfaces:
Evaluator<Vector,Double>, DifferentiableEvaluator<Vector,Double,Vector>, CloneableSerializable, Serializable, Cloneable
Enclosing class:
DistributionParameterEstimator<DataType,DistributionType extends ClosedFormDistribution<? extends DataType>>

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

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

See Also:
Serialized Form

Field Summary
protected  CostFunction<? super DistributionType,? super Collection<? extends DataType>> costFunction
          Cost function to use in the minimization procedure
protected  DistributionType distribution
          Distribution to estimate the parameters of
 
Constructor Summary
DistributionParameterEstimator.DistributionWrapper(DistributionType distribution, CostFunction<? super DistributionType,? super Collection<? extends DataType>> costFunction)
          Creates a new instance of DistributionWrapper
 
Method Summary
 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
 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 Collection<? extends DataType>> costFunction
Cost function to use in the minimization procedure

Constructor Detail

DistributionParameterEstimator.DistributionWrapper

public DistributionParameterEstimator.DistributionWrapper(DistributionType distribution,
                                                          CostFunction<? super DistributionType,? super 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 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,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,Double,Vector>
Parameters:
input - Input about which to compute the derivative
Returns:
Derivative of the output with respect to the given input