public class Cubic extends StatisticalModel
adapter, FigureReporters, invertParameterDeclarations, LIKELIHOOD, NEG_LOG_LIKELIHOOD, paramListeners, Params, PosteriorParams, PREDICTION, priorParamListeners, PriorParams, SUM_NEG_LOG_LIKELIHOOD, usingDataSet
domainDimension, rangeDimension
Constructor and Description |
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Cubic() |
Modifier and Type | Method and Description |
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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) |
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
domainDimension, plotOver, plotOver, rangeDimension
public DblMatrix getParam(java.lang.String name)
getParam
in interface NamedParameters
getParam
in class StatisticalModel
public void setParam(java.lang.String name, DblMatrix value)
setParam
in interface NamedParameters
setParam
in class StatisticalModel
public void replaceParams(DblParamSet X)
StatisticalModel
replaceParams
in interface NamedParameters
replaceParams
in class StatisticalModel
public java.lang.String[] parameterSet()
parameterSet
in interface NamedParameters
parameterSet
in class StatisticalModel
public DblMatrix getPredictionAt(DblMatrix[] X)
getPredictionAt
in class StatisticalModel
public DblMatrix getValueAt(DblMatrix X)
getValueAt
in interface OptimizableScalar
getValueAt
in class StatisticalModel
public java.lang.String about()
StatisticalModel
about
in class StatisticalModel
Copyright © 2011, 2013. Daniel P. Dougherty