com.mockturtlesolutions.snifflib.testfun

Class Linear

java.lang.Object

com.mockturtlesolutions.snifflib.functions.AbstractFunction

com.mockturtlesolutions.snifflib.invprobs.StatisticalModel

com.mockturtlesolutions.snifflib.testfun.Linear

All Implemented Interfaces:

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

Direct Known Subclasses:

BayesianLinear

public class Linear
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
Linear()
Linear(DblMatrix a, DblMatrix b)
Linear(double a, double b)
Linear(double a, int b)
Linear(int a, double b)
Linear(int a, int b)
Linear(java.lang.Number a, java.lang.Number b)

Method Summary

Methods

Modifier and Type	Method and Description
java.lang.String	about() Return a string giving some descriptive information about the model.
DblMatrix	getPredictionAt(DblMatrix[] X)
DblMatrix	residuals() Returns the default residual of zero.

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, 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, 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

Linear

public Linear()

Linear

public Linear(java.lang.Number a,
      java.lang.Number b)

Linear

public Linear(double a,
      int b)

Linear

public Linear(int a,
      double b)

Linear

public Linear(int a,
      int b)

Linear

public Linear(double a,
      double b)

Linear

public Linear(DblMatrix a,
      DblMatrix b)

Method Detail

residuals

public DblMatrix residuals()

Description copied from class: StatisticalModel

Returns the default residual of zero. This method should be over-ridden by extending classes.

Overrides:

residuals 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