com.mockturtlesolutions.snifflib.stats

Class FCDF

java.lang.Object

com.mockturtlesolutions.snifflib.functions.AbstractFunction

com.mockturtlesolutions.snifflib.invprobs.StatisticalModel

com.mockturtlesolutions.snifflib.stats.FCDF

All Implemented Interfaces:

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

public class FCDF
extends StatisticalModel
implements CDF

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
FCDF()
FCDF(DblMatrix ndf, DblMatrix ddf)
FCDF(DblMatrix ndf, double ddf)
FCDF(double ndf, DblMatrix ddf)
FCDF(double ndf, double ddf)

Method Summary

Methods

Modifier and Type	Method and Description
java.lang.String	about() Return a string giving some descriptive information about the model.
DblMatrix	cdf(DblMatrix X)
DblMatrix	getPredictionAt(DblMatrix[] X)
DblMatrix	getValueAt(DblMatrix F)
DblMatrix	getValueToMinimize() Returns the CDF at the current X value for the current parameter settings.
DblMatrix	getVariable()
void	setVariable(DblMatrix ff)

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, getPriorParam, getPriorParams, getValueAt, getValueAt, 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

FCDF

public FCDF()

FCDF

public FCDF(DblMatrix ndf,
    DblMatrix ddf)

FCDF

public FCDF(double ndf,
    DblMatrix ddf)

FCDF

public FCDF(DblMatrix ndf,
    double ddf)

FCDF

public FCDF(double ndf,
    double ddf)

Method Detail

setVariable

public void setVariable(DblMatrix ff)

getVariable

public DblMatrix getVariable()

cdf

public DblMatrix cdf(DblMatrix X)

Specified by:

cdf in interface CDF

getValueToMinimize

public DblMatrix getValueToMinimize()

Returns the CDF at the current X value for the current parameter settings.

Specified by:

getValueToMinimize in interface OptimizableScalar

Overrides:

getValueToMinimize in class StatisticalModel

getPredictionAt

public DblMatrix getPredictionAt(DblMatrix[] X)

Specified by:

getPredictionAt in class StatisticalModel

getValueAt

public DblMatrix getValueAt(DblMatrix F)

Specified by:

getValueAt in interface OptimizableScalar

Overrides:

getValueAt in class StatisticalModel

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