public class HollingII extends StatisticalModel
adapter, FigureReporters, invertParameterDeclarations, LIKELIHOOD, NEG_LOG_LIKELIHOOD, paramListeners, Params, PosteriorParams, PREDICTION, priorParamListeners, PriorParams, SUM_NEG_LOG_LIKELIHOOD, usingDataSetdomainDimension, rangeDimension| Constructor and Description |
|---|
HollingII() |
| 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) |
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, variableSetdomainDimension, plotOver, plotOver, rangeDimensionpublic DblMatrix getParam(java.lang.String name)
getParam in interface NamedParametersgetParam in class StatisticalModelpublic void setParam(java.lang.String name,
DblMatrix value)
setParam in interface NamedParameterssetParam in class StatisticalModelpublic void replaceParams(DblParamSet X)
StatisticalModelreplaceParams in interface NamedParametersreplaceParams in class StatisticalModelpublic java.lang.String[] parameterSet()
parameterSet in interface NamedParametersparameterSet in class StatisticalModelpublic DblMatrix getPredictionAt(DblMatrix[] X)
getPredictionAt in class StatisticalModelpublic DblMatrix getValueAt(DblMatrix X)
getValueAt in interface OptimizableScalargetValueAt in class StatisticalModelpublic java.lang.String about()
StatisticalModelabout in class StatisticalModelCopyright © 2011, 2013. Daniel P. Dougherty