com.mockturtlesolutions.snifflib.util

Class AbstractGammaAlgorithm

java.lang.Object

com.mockturtlesolutions.snifflib.functions.AbstractFunction

com.mockturtlesolutions.snifflib.invprobs.StatisticalModel

com.mockturtlesolutions.snifflib.util.AbstractGammaAlgorithm

All Implemented Interfaces:

Nameable, FigureReportable, Reportable, DeclaredParameters, DeclaredVariables, Likelihood, NamedParameters, ObjectSampler, ObjectSamplerClient, OptimizableScalar, GammaAlgorithm

Direct Known Subclasses:

TothGammaAlgorithm

public abstract class AbstractGammaAlgorithm
extends StatisticalModel
implements GammaAlgorithm

Gamma function evaluation. Gamma(X) is defined to be integral_{0}^{infty}t^{alpha-1}e^{-t}dt Algorithm is based on an approximation presented by Viktor T. Toth at http://www.rskey.org/gamma.htm.

Field Summary

Fields inherited from class com.mockturtlesolutions.snifflib.invprobs.StatisticalModel

adapter, FigureReporters, invertParameterDeclarations, LIKELIHOOD, NEG_LOG_LIKELIHOOD, paramListeners, Params, PosteriorParams, PREDICTION, priorParamListeners, PriorParams, SUM_NEG_LOG_LIKELIHOOD, usingDataSet

Fields inherited from class com.mockturtlesolutions.snifflib.functions.AbstractFunction

domainDimension, rangeDimension

Constructor Summary

Constructors

Constructor and Description
AbstractGammaAlgorithm()

Method Summary

Methods

Modifier and Type	Method and Description
java.lang.String	about() Return a string giving some descriptive information about the model.
abstract DblMatrix	gamma(DblMatrix Z)
DblMatrix	getValueAt(DblMatrix Z)

Methods inherited from class com.mockturtlesolutions.snifflib.invprobs.StatisticalModel

addFigureReporter, addObjectToSample, addParameterChangeListener, declareIfNotParameter, declareIfNotPriorParameter, declareParameter, declareParameter, declarePriorParameter, declarePriorParameter, declareVariable, fireParameterAdded, fireParameterRemoved, fireParameterValueChanged, fireParameterValuesChanged, firePriorParameterAdded, firePriorParameterRemoved, firePriorParameterValueChanged, firePriorParameterValuesChanged, getDataAugment, getDataSet, getDataSetAdapter, getDeclaredParameters, getDeclaredPriorParameters, getDeclaredVariables, getFigureReporter, getFigureReporters, getIgnoreNaN, getMSE, getName, getNewObjectSample, getNewObjectSamples, getObjectSamplingOffered, getObjectsToSample, getParam, getParams, getPosteriorParam, getPosteriorParams, getPredictionAt, getPriorParam, getPriorParams, getValueAt, getValueAt, getValueToMinimize, getX, getY, hasParameter, hasPriorParameter, invertParameterDeclarations, isSamplingObject, isVectorBased, likelihood, mapName, negLogLikelihood, negLogPrior, numParams, offerObjectSamplingFor, offersObjectSamplingFor, parameterSet, putNewObjectSample, removeAllParameterChangeListener, removeFigureReporter, removeObjectToSample, removeParameterChangeListener, replaceParams, replacePosteriorParams, replacePriorParams, residuals, revokeObjectSamplingFor, revokeParameter, revokePriorParameter, revokeVariable, samplePosterior, samplePosterior, setDataAugment, setDataSet, setIgnoreNaN, setName, setObjectsToSample, setParam, setParams, setPosteriorParam, setPosteriorParams, setPriorParam, setPriorParams, setValueToGet, setX, setY, sumNegLogLikelihood, unMapName, variableSet

Methods inherited from class com.mockturtlesolutions.snifflib.functions.AbstractFunction

domainDimension, plotOver, plotOver, rangeDimension

Methods inherited from class java.lang.Object

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

Constructor Detail

AbstractGammaAlgorithm

public AbstractGammaAlgorithm()

Method Detail

getValueAt

public DblMatrix getValueAt(DblMatrix Z)

Specified by:

getValueAt in interface OptimizableScalar

Overrides:

getValueAt in class StatisticalModel

gamma

public abstract DblMatrix gamma(DblMatrix Z)

Specified by:

gamma in interface GammaAlgorithm

about

public java.lang.String about()

Description copied from class: StatisticalModel

Return a string giving some descriptive information about the model.

Specified by:

about in class StatisticalModel