com.bayesserver.optimization

Class GeneticSimplificationOptions

java.lang.Object

com.bayesserver.optimization.GeneticOptionsBase

com.bayesserver.optimization.GeneticSimplificationOptions

All Implemented Interfaces:

OptimizerOptions

public final class GeneticSimplificationOptions
extends GeneticOptionsBase

Options for the genetic simplifcation algorithm.

Constructor Summary

Constructors

Constructor and Description
GeneticSimplificationOptions()

Method Summary

Modifier and Type	Method and Description
Evidence	getEvidenceToSimplify() The evidence from a previous optimization.
double	getSimplifyTolerance() This is a non negative number which determines whether a simplified solution is close enough to the best found.
void	setEvidenceToSimplify(Evidence value) The evidence from a previous optimization.
void	setSimplifyTolerance(double value) This is a non negative number which determines whether a simplified solution is close enough to the best found.

Methods inherited from class com.bayesserver.optimization.GeneticOptionsBase

getCancellation, getCrossoverProbability, getInferenceFactory, getMaximumConcurrency, getMutationProbability, getPopulationSize, getProgress, getQueryDistributions, getQueryFunctions, getQueryLogLikelihood, getSeed, getStopping, getTermination, raisePropertyChanged, setCancellation, setCrossoverProbability, setInferenceFactory, setMaximumConcurrency, setMutationProbability, setPopulationSize, setProgress, setQueryLogLikelihood, setSeed, setStopping

Methods inherited from class java.lang.Object

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

Constructor Detail

GeneticSimplificationOptions

public GeneticSimplificationOptions()

Method Detail

getEvidenceToSimplify

public Evidence getEvidenceToSimplify()

The evidence from a previous optimization.

setEvidenceToSimplify

public void setEvidenceToSimplify(Evidence value)

The evidence from a previous optimization.

getSimplifyTolerance

public double getSimplifyTolerance()

This is a non negative number which determines whether a simplified solution is close enough to the best found. A solution is deemed similar if the relative difference between the objectives is no greater than this value.

setSimplifyTolerance

public void setSimplifyTolerance(double value)

This is a non negative number which determines whether a simplified solution is close enough to the best found. A solution is deemed similar if the relative difference between the objectives is no greater than this value.