gov.sandia.cognition.learning.function.cost

Class ParallelNegativeLogLikelihood<DataType>

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

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

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

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

Type Parameters:

DataType - Type of data generated by the Distribution

All Implemented Interfaces:

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

public class ParallelNegativeLogLikelihood<DataType>
extends NegativeLogLikelihood<DataType>
implements ParallelAlgorithm

Parallel implementation of the NegativeLogLikleihood cost function

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
protected static class	ParallelNegativeLogLikelihood.NegativeLogLikelihoodTask<DataType> Task for computing partial log likelihoods

Field Summary

Fields

Modifier and Type	Field and Description
protected java.util.ArrayList<ParallelNegativeLogLikelihood.NegativeLogLikelihoodTask<DataType>>	tasks Tasks to compute partial log likelihoods
protected java.util.concurrent.ThreadPoolExecutor	threadPool Thread pool for executing the tasks.

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

costParameters

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method and Description
java.lang.Double	evaluate(ComputableDistribution<DataType> target) Computes the cost of the given target.
int	getNumThreads() Gets the number of threads in the thread pool.
java.util.concurrent.ThreadPoolExecutor	getThreadPool() Gets the thread pool for the algorithm to use.
void	setThreadPool(java.util.concurrent.ThreadPoolExecutor threadPool) Sets the thread pool for the algorithm to use.

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

evaluate

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

Methods inherited from interface gov.sandia.cognition.util.CloneableSerializable

clone

Field Detail

threadPool

protected transient java.util.concurrent.ThreadPoolExecutor threadPool

Thread pool for executing the tasks.

tasks

protected transient java.util.ArrayList<ParallelNegativeLogLikelihood.NegativeLogLikelihoodTask<DataType>> tasks

Tasks to compute partial log likelihoods

Constructor Detail

ParallelNegativeLogLikelihood

public ParallelNegativeLogLikelihood()

Default constructor

ParallelNegativeLogLikelihood

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

Creates a new instance of ParallelNegativeLogLikelihood

Parameters:

costParameters - Data generated by the target distribution

Method Detail

evaluate

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

Description copied from interface: CostFunction

Computes the cost of the given target.

Specified by:

evaluate in interface Evaluator<ComputableDistribution<DataType>,java.lang.Double>

Specified by:

evaluate in interface CostFunction<ComputableDistribution<DataType>,java.util.Collection<? extends DataType>>

Overrides:

evaluate in class NegativeLogLikelihood<DataType>

Parameters:

target - The object to evaluate.

Returns:

The cost of the given object.

getThreadPool

public java.util.concurrent.ThreadPoolExecutor getThreadPool()

Description copied from interface: ParallelAlgorithm

Gets the thread pool for the algorithm to use.

Specified by:

getThreadPool in interface ParallelAlgorithm

Returns:

Thread pool used for parallelization.

setThreadPool

public void setThreadPool(java.util.concurrent.ThreadPoolExecutor threadPool)

Description copied from interface: ParallelAlgorithm

Sets the thread pool for the algorithm to use.

Specified by:

setThreadPool in interface ParallelAlgorithm

Parameters:

threadPool - Thread pool used for parallelization.

getNumThreads

public int getNumThreads()

Description copied from interface: ParallelAlgorithm

Gets the number of threads in the thread pool.

Specified by:

getNumThreads in interface ParallelAlgorithm

Returns:

Number of threads in the thread pool