com.mockturtlesolutions.snifflib.testfun

Class Constant

java.lang.Object

com.mockturtlesolutions.snifflib.functions.AbstractFunction

com.mockturtlesolutions.snifflib.invprobs.StatisticalModel

com.mockturtlesolutions.snifflib.testfun.Constant

All Implemented Interfaces:

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

public class Constant
extends StatisticalModel

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
Constant()
Constant(DblMatrix a)
Constant(double a)
Constant(int a)
Constant(java.lang.Number a)

Method Summary

Methods

Modifier and Type	Method and Description
java.lang.String	about() Return a string giving some descriptive information about the model.
DblMatrix	getParam(java.lang.String name)
DblMatrix	getPredictionAt(DblMatrix[] X)
DblMatrix	getValueAt(DblMatrix X)
java.lang.String[]	parameterSet()
void	replaceParams(DblParamSet X) Replace parameters with those in X.
void	setParam(java.lang.String name, DblMatrix value)

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, getParams, getPosteriorParam, getPosteriorParams, getPriorParam, getPriorParams, getValueAt, getValueAt, getValueToMinimize, getX, getY, hasParameter, hasPriorParameter, invertParameterDeclarations, isSamplingObject, isVectorBased, likelihood, mapName, negLogLikelihood, negLogPrior, numParams, offerObjectSamplingFor, offersObjectSamplingFor, putNewObjectSample, removeAllParameterChangeListener, removeFigureReporter, removeObjectToSample, removeParameterChangeListener, replacePosteriorParams, replacePriorParams, residuals, revokeObjectSamplingFor, revokeParameter, revokePriorParameter, revokeVariable, samplePosterior, samplePosterior, setDataAugment, setDataSet, setIgnoreNaN, setName, setObjectsToSample, 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

Constant

public Constant()

Constant

public Constant(java.lang.Number a)

Constant

public Constant(double a)

Constant

public Constant(int a)

Constant

public Constant(DblMatrix a)

Method Detail

getParam

public DblMatrix getParam(java.lang.String name)

Specified by:

getParam in interface NamedParameters

Overrides:

getParam in class StatisticalModel

setParam

public void setParam(java.lang.String name,
            DblMatrix value)

Specified by:

setParam in interface NamedParameters

Overrides:

setParam in class StatisticalModel

replaceParams

public void replaceParams(DblParamSet X)

Description copied from class: StatisticalModel

Replace parameters with those in X. Note only the parameters in X will be modified. Any other parameters will remain unmodified.

Specified by:

replaceParams in interface NamedParameters

Overrides:

replaceParams in class StatisticalModel

parameterSet

public java.lang.String[] parameterSet()

Specified by:

parameterSet in interface NamedParameters

Overrides:

parameterSet in class StatisticalModel

getValueAt

public DblMatrix getValueAt(DblMatrix X)

Specified by:

getValueAt in interface OptimizableScalar

Overrides:

getValueAt in class StatisticalModel

getPredictionAt

public DblMatrix getPredictionAt(DblMatrix[] X)

Specified by:

getPredictionAt 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