public interface MCMCLogisticRegressionSettings extends LogisticRegressionSettings
getEstimationMethod, getHosmerLemeshowGroups, getLiftReweightingMode, getLinkFunctionType, getMulticategoryModelType, getNumberOfLiftQuantiles, getPositiveCategoryApriori, getPositiveTargetCategory, getPostEstimationMode, getRegressionMethod, getTargetCategoriesOrder, setEstimationMethod, setHosmerLemeshowGroups, setLiftReweightingMode, setLinkFunctionType, setMulticategoryModelType, setNumberOfLiftQuantiles, setPositiveCategoryApriori, setPositiveTargetCategory, setPostEstimationMode, setTargetCategoriesOrdergetConfidenceLevel, getExecuteInitTests, getGroupStatistics, getInfluenceDiagnostics, getIntercept, getOptimizationAlgorithmSettings, getOutliersCriterion, getOutliersToRemove, getPreselection, getVariableSelectionSettings, setConfidenceLevel, setExecuteInitTests, setGroupStatistics, setInfluenceDiagnostics, setIntercept, setOptimizationAlgorithmSettings, setOutliersCriterion, setOutliersToRemove, setPreselection, setVariableSelectionSettingsgetTransformationSettings, isAutomaticDataTransformations, setAutomaticDataTransformationsclonegetDescription, getName, getObjectIdentifier, getProperties, isEditable, setDescription, setEditable, setName, setObjectIdentifierint getSeed()
void setSeed(int seed)
int getChainLength()
void setChainLength(int length)
int getMaxChainLength()
void setMaxChainLength(int maxLength)
int getNoOfChains()
void setNoOfChains(int noOfChains)
boolean getTakeWholeChains()
void setTakeWholeChains(boolean wholeChains)
int getBurnin()
void setBurnin(int burnin)
int getThin()
void setThin(int thin)
double getAlpha()
void setAlpha(double alpha)
double[] getTune()
void setTune(double[] tune)
void setTuneValue(double tuneValue)
double getTuneValue()
double[] getRandomWalkInit()
void setRandomWalkInit(double[] init)
double[] getMarkovChainInit()
void setMarkovChainInit(double[] init)
double getRTolerance()
void setRTolerance(double tolerance)
ParameterUpdateMethod getParameterUpdateMethod()
void setParameterUpdateMethod(ParameterUpdateMethod method)
DegeneratedAttributesProcessingMethod getDegeneratedAttributesProcessingMethod()
void setDegeneratedAttributesProcessingMethod(DegeneratedAttributesProcessingMethod method)
boolean isSamplingFromPrior()
void setSamplingFromPrior(boolean priorSampling)
MultivariateDistribution getPrior()
void setPrior(MultivariateDistribution prior)
void setTunnedAcceptanceLevel(double level)
double getTunnedAcceptanceLevel()
double getDegeneratedAttributesVarianceForRandomWalk()
void setDegeneratedAttributesVarianceForRandomWalk(double var)
double getDegeneratedAttributesVarianceForPrior()
void setDegeneratedAttributesVarianceForPrior(double var)
boolean isFastMikusLikelihood()
void setFastMikusLikelihood(boolean fast)
boolean isFastLikelihood()
void setFastLikelihood(boolean fast)