biz.sc.mm.dm.supervised.statistical.classification

Interface ClassificationLikelihoodModel

All Superinterfaces:

AppliableObject, ClassificationModel, InputDataInfo, LikelihoodModel, MiningModel, PersistentObject, ScoringModel, StatisticalModel, SupervisedModel, TaskResult, Verifiable

All Known Subinterfaces:

LogisticRegressionModel, MCMCLogisticRegressionModel

public interface ClassificationLikelihoodModel
extends LikelihoodModel, ClassificationModel

Interface common for all likelihood-based classification models (e.g. logistic and bivariate).

Field Summary

Fields inherited from interface biz.sc.mm.dm.base.MiningModel

PROP_INDEX_BUILD_DATA_ID, PROP_INDEX_BUILD_VALID_ID, PROP_INDEX_MODEL_STATS_CLASS, SIGNATURE

Method Summary

Methods

Modifier and Type	Method and Description
double[]	getScores(double[] vector) Gets the scored probabilities for the specified observation vector.

Methods inherited from interface biz.sc.mm.dm.supervised.statistical.LikelihoodModel

getLikelihoodFunction

Methods inherited from interface biz.sc.mm.dm.supervised.statistical.StatisticalModel

getCoefficient, getCoefficients, getCorrelation, getCovariance, getImportanceStatisticsPValue, getSignatureNames, getVarNo, isActive, p

Methods inherited from interface biz.sc.mm.dm.base.MiningModel

getBuildDataIdentifier, getExternalSignature, getFunctionSettings, getInternalFunctionSettings, getInternalSignature, getLearningHistory, getModelStatistics, getSignature, getTransformation, getValidationDataIdentifier, setTransformation

Methods inherited from interface biz.sc.mm.dm.base.TaskResult

isLiberalExecution

Methods inherited from interface biz.sc.mm.dm.PersistentObject

getDescription, getName, getObjectIdentifier, getProperties, isEditable, setDescription, setEditable, setName, setObjectIdentifier

Methods inherited from interface biz.sc.mm.dm.base.Verifiable

verify

Methods inherited from interface biz.sc.mm.dm.supervised.statistical.InputDataInfo

getGroupUsage, getInternalFunctionSettings, getUniqueName, getUsage, getVarGroupName, getVarName, intcp, n, ptotal

Methods inherited from interface biz.sc.mm.dm.supervised.classification.ClassificationModel

getPositiveTargetApriori, getPositiveTargetValue

Method Detail

getScores

double[] getScores(double[] vector)

Gets the scored probabilities for the specified observation vector.

Parameters:

vector - vector to be scored [containing only variables included in the model signature]

Returns:

the scored probablities for the respective target categories.