A B C D E F G H I J K L M N O P Q R S T U V W Z

A

ABMAttributeType - Class in biz.sc.mm.dm.algorithm.abm

ABMAttributeUsage - Class in biz.sc.mm.dm.algorithm.abm

ABMCommonSettings - Interface in biz.sc.mm.dm.algorithm.abm

ABMDataLearnerSettings - Interface in biz.sc.mm.dm.algorithm.abm

ABMDataLearnerSettingsFactory - Interface in biz.sc.mm.dm.algorithm.abm

ABMReport - Interface in biz.sc.mm.dm.algorithm.abm

ABMSettings - Interface in biz.sc.mm.dm.algorithm.abm

ABMSettingsFactory - Interface in biz.sc.mm.dm.algorithm.abm

ABMTask - Interface in biz.sc.mm.dm.algorithm.abm

ABMTaskFactory - Interface in biz.sc.mm.dm.algorithm.abm

AbstractApproximationOutputItem - Interface in biz.sc.mm.dm.supervised.approximation

Abstract interface for all output items created by approximation apply process.

AbstractPhysicalData - Interface in biz.sc.mm.dm.data

A PhysicalData object specifies the layout of the physical data to be used for mining.

AbstractVariableStatistics - Interface in biz.sc.mm.dm.modelstats.statistical

Variable or group statistics common for all statistical models.

acc - Static variable in class biz.sc.mm.dm.algorithm.tree.classification.PrunningStat

ACCURACY - Static variable in class biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasure

ACTIVE - Static variable in class biz.sc.mm.dm.algorithm.abm.ABMAttributeUsage

active - Static variable in class biz.sc.mm.dm.UsageOption

Indicates that the attribute is used for the mining function.

active1 - Static variable in class biz.sc.mm.dm.supervised.statistical.classification.bivariate.BivariateUsageOption

Attribute active in both equations (the screening and the default).

active2 - Static variable in class biz.sc.mm.dm.supervised.statistical.classification.bivariate.BivariateUsageOption

Attribute active only in the screening (censoring) equation.

add(AttribMapping.Entry) - Method in class biz.sc.mm.dm.data.AttribMapping

add(Collection<String>, Collection<String>) - Method in class biz.sc.mm.dm.data.AttribMapping

add(String, String) - Method in class biz.sc.mm.dm.data.AttribMapping

add(Interval) - Method in interface biz.sc.mm.dm.data.Interval

Creates new interval min(this, interval); max(this, interval, with closures from this interval.

addAliasRegistryListener(AliasRegistryListener) - Method in class biz.sc.mm.dm.data.AliasRegistry

Removes listener from AliasRegistry object.

addAll(AttribMapping) - Method in class biz.sc.mm.dm.data.AttribMapping

addAttribute(String, BaseAttribute) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseSignature

addAttribute(PhysicalAttribute) - Method in interface biz.sc.mm.dm.data.AbstractPhysicalData

Adds new attribute to the set.

addAttribute(T) - Method in interface biz.sc.mm.dm.data.AttributeSet

Adds attribute to set.

addAttribute(T) - Method in interface biz.sc.mm.dm.data.AttributeSetListener

addAttribute(AttributeUsage) - Method in interface biz.sc.mm.dm.data.AttributeUsageSet

Adds new attribute usage to the set.

addAttribute(LogicalAttribute) - Method in interface biz.sc.mm.dm.data.LogicalData

Adds new attribute to the set.

addAttribute(StatisticsAttribute) - Method in interface biz.sc.mm.dm.data.StatisticsAttributeSet

Adds new attribute to the set.

addAttribute(ScoringCardAttribute) - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardData

Adds new attribute to the set.

addAttribute(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Adds an attribute name to a list of attributes which statistics should be calculated.

addAttribute(BinarizeAttribute) - Method in interface biz.sc.mm.transformation.settings.BinarizeAttributes

Adds attribute to BinarizeAttributes.

addAttribute(MultiAttribute) - Method in interface biz.sc.mm.transformation.settings.MultiAttributes

Adds attribute to BinarizeAttributes.

addAttribute(ReplaceMissingAttribute) - Method in interface biz.sc.mm.transformation.settings.ReplaceMissingAttributes

addAttributes(PhysicalAttribute[]) - Method in interface biz.sc.mm.dm.data.AbstractPhysicalData

Adds new attributes to the set.

addAttributes(Collection<? extends T>) - Method in interface biz.sc.mm.dm.data.AttributeSet

addAttributes(T[]) - Method in interface biz.sc.mm.dm.data.AttributeSet

addAttributes(StatisticsAttribute[]) - Method in interface biz.sc.mm.dm.data.StatisticsAttributeSet

Adds new attributes to the set.

addAttributeSetListener(AttributeSetListener<T>) - Method in interface biz.sc.mm.dm.data.AttributeSet

addBoxCoxLambda(double) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

addCategories(Collection) - Method in interface biz.sc.mm.dm.data.CategorySet

Adds list of categories to the set

addCategory(Object) - Method in interface biz.sc.mm.dm.data.CategorySet

Adds category to the set

addCell(int) - Method in interface biz.sc.mm.dm.modelstats.kohonen.Segment

Adds cell to the segment.

addClassifier(ClassificationModel) - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleSettings

addClassifier(ClassificationAlgorithmSettings) - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleSettings

addCommentForAttribute(String, String) - Method in interface biz.sc.mm.dm.task.AttributeCommentsManager

Adds comment for specified attribute.

addComponent(LogicalAttribute) - Method in interface biz.sc.mm.dm.data.VectorLogicalAttribute

addErrorMessage(String) - Method in interface biz.sc.mm.dm.TestReport

Adds new error message to the messages list.

addExclusions(String[]) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Adds new exclusion group with exclusion level set to 1.

addExclusions(String[], int) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Adds new exclusion group with specified exclusion level.

addImport(String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.customcode.CodeBuilder

Add one import to the existing set.

addInternalModel(ETSInternalModel) - Method in interface biz.sc.mm.dm.algorithm.ets.ETSModel

Adds internal model to internal models list

addItem(ScoringCodeSignatureItem) - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeSignature

Adds one ScoringCodeSignatureItem to list

addKey(Object) - Method in interface biz.sc.mm.dm.data.AttributeSet

Adds a new key to the set of custom user keys.

addKey(Object, boolean) - Method in interface biz.sc.mm.dm.data.AttributeSet

Adds a new key to the set of custom user keys.

addKeys(Collection<?>) - Method in interface biz.sc.mm.dm.data.AttributeSet

Adds a new keys to the set of custom user keys.

addKeys(Collection<?>, boolean) - Method in interface biz.sc.mm.dm.data.AttributeSet

Adds a new keys to the set of custom user keys.

addLeftInterval(String, Double) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

addLeftInterval(Double) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

addLeftIntervalAsPercent(String, Integer) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

addLeftIntervalAsPercent(Integer) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

addMapping(MapItem, MapItem) - Method in interface biz.sc.mm.dm.scoringcard.ModelToCardMap

addMatchingGroupsPair(String, String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingAlgorithmSettings

Add a new pair of groups to process in GroupBetween matching

addMessage(TestMessage) - Method in interface biz.sc.mm.dm.TestReport

Adds new message to the messages list.

addMessages(TestMessage[]) - Method in interface biz.sc.mm.dm.TestReport

Adds new messages to the messages list.

addOut(Module) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

addOutRole(TableRole, TableRole) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

addRate(double, TableRole) - Method in interface biz.sc.mm.dm.algorithm.abm.Split

addRightInterval(String, Double) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

addRightInterval(Double) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

addRightIntervalAsPercent(String, Integer) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

addRightIntervalAsPercent(Integer) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

addSegment(Segment) - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Adds segment.

addSQLAttribute(String, String) - Method in interface biz.sc.mm.dm.data.PhysicalData

Adds a new SQL (virtual) attribute to the PhysicalData

addTable(TableRole, String) - Method in interface biz.sc.mm.dm.algorithm.abm.DataSource

addTable(TableRole, String, double, double) - Method in interface biz.sc.mm.dm.algorithm.abm.DataSource

addTransformationParameters(TransformationParameters) - Method in interface biz.sc.mm.transformation.parameters.MultiTransformationParameters

addUnion(AttribMapping.Entry) - Method in class biz.sc.mm.dm.data.AttribMapping

addWarningMessage(String) - Method in interface biz.sc.mm.dm.TestReport

Adds new warning message to the messages list.

addWhere(String, String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Adds attribute name and a where value to a list af attributes which statistics should be calculated.

AggregatingMethod - Class in biz.sc.mm.dm.algorithm.tree.classification

AggregationType - Class in biz.sc.mm.dm.algorithm.ensembles

AIC - Static variable in class biz.sc.mm.dm.algorithm.regularizedregression.InformationCriterion

ALGORITHM_KEY - Static variable in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Column with the matching algorithm's name.

AlgorithmSettings - Interface in biz.sc.mm.dm.algorithm.socialnets.alg

AlgorithmSettingsFactory - Interface in biz.sc.mm.dm.algorithm.socialnets.alg

AliasAlreadyDefinedException - Exception in biz.sc.mm.dm.data

AliasAlreadyDefinedException() - Constructor for exception biz.sc.mm.dm.data.AliasAlreadyDefinedException

AliasAlreadyDefinedException(String) - Constructor for exception biz.sc.mm.dm.data.AliasAlreadyDefinedException

AliasAlreadyDefinedException(Throwable) - Constructor for exception biz.sc.mm.dm.data.AliasAlreadyDefinedException

AliasAlreadyDefinedException(String, Throwable) - Constructor for exception biz.sc.mm.dm.data.AliasAlreadyDefinedException

aliasChange(String, DatabaseAlias, DatabaseAlias) - Method in interface biz.sc.mm.dm.data.AliasRegistryListener

AliasRegistry - Class in biz.sc.mm.dm.data

Contains a set of aliases defined by user.

AliasRegistryListener - Interface in biz.sc.mm.dm.data

all - Static variable in class biz.sc.mm.dm.supervised.statistical.AuxiliaryStatisticsMode

All auxiliary statistics (model scores, attribute importance, estimated parameters).

alphabetical - Static variable in class biz.sc.mm.dm.supervised.statistical.TargetCategoriesOrder

Alphabetical categories ordering

alphabeticalDesc - Static variable in class biz.sc.mm.dm.supervised.statistical.TargetCategoriesOrder

Descending alphabetical categories ordering

and - Static variable in class biz.sc.mm.dm.modelstats.tree.BooleanOperator

antyChebychev - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ClusteringDistanceFunction

anty chebychev (minimum) metric

AppliableObject - Interface in biz.sc.mm.dm.base

ApplyOutputItem - Interface in biz.sc.mm.dm.task

This object describes an entity of apply output.

ApplySourceItem - Interface in biz.sc.mm.dm.task

Creates Direct input - output mapping output item.

ApplySourceItemFactory - Interface in biz.sc.mm.dm.task

Factory for ApplySourceItem.

ApplyTask - Interface in biz.sc.mm.dm.task

Common interface for all apply tasks.

approximateQuantileDiscretization - Static variable in class biz.sc.mm.transformation.settings.DiscretizeType

APPROXIMATION - Static variable in class biz.sc.mm.dm.algorithm.abm.ProcessType

ApproximationAlgorithmSettings - Interface in biz.sc.mm.dm.supervised.approximation

Settings for approximation algorithms.

ApproximationApplyOutput - Interface in biz.sc.mm.dm.supervised.approximation

Apply output specification for approximation applying process.

ApproximationApplyOutputFactory - Interface in biz.sc.mm.dm.supervised.approximation

Factory for ApproximationApplyOutput.

ApproximationFunctionSettings - Interface in biz.sc.mm.dm.supervised.approximation

An ApproximationFunctionSettings is a subclass of SupervisedFunctionSettings that supports features that are unique to approximate numerical values.

ApproximationFunctionSettingsFactory - Interface in biz.sc.mm.dm.supervised.approximation

Factory for ApproximationFunctionSettings.

ApproximationModel - Interface in biz.sc.mm.dm.supervised.approximation

A ApproximationModel is a subclass of SupervisedModel that supports features that are unique for all approximation models.

ApproximationModelQualityMeasure - Class in biz.sc.mm.dm.algorithm.abm

ApproximationModelQualityMeasures - Interface in biz.sc.mm.dm.algorithm.abm

ApproximationOutputItem - Interface in biz.sc.mm.dm.supervised.approximation

Output item created by approximation apply process.

ApproximationOutputItemFactory - Interface in biz.sc.mm.dm.supervised.approximation

Factory for ApproximationOutputItem.

ApproximationOutputType - Class in biz.sc.mm.dm.supervised.approximation

Defines possible output types adequate for approximation.

ApproximationTestResult - Interface in biz.sc.mm.dm.supervised.approximation

This represents the result of a test task applyed to an approximation model.

ApproximationTestTask - Interface in biz.sc.mm.dm.supervised.approximation

This represents a task to check the quality of a approximation model.

ApproximationTestTaskFactory - Interface in biz.sc.mm.dm.supervised.approximation

Factory for ApproximationTestTask.

ARCHSettings - Interface in biz.sc.mm.dm.algorithm.timeseries.arch

ARCHSettingsFactory - Interface in biz.sc.mm.dm.algorithm.timeseries.arch

Factory for ARCH algorithm settings.

areBasicComputed() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

areContinuousComputed() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

Returns whether continuous statistics are calculated.

areDiscreteComputed() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

Returns whether discrete statistics are calculated.

areNumericalComputed() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

Returns whether numerical statistics are calculated.

areQuantilesComputed() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

Returns whether quantiles statistics are calculated.

areUniformityComputed() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

Returns whethet uniformity indexes are computed

ascending - Static variable in class biz.sc.mm.dm.SortOrder

The objects are presented in ascending order based on the associated sorting value.

asis - Static variable in class biz.sc.mm.dm.algorithm.mcmc.DegeneratedAttributesProcessingMethod

asIs - Static variable in class biz.sc.mm.dm.SortOrder

The objects are presented in the same order in which they are stored in the model.

AttribMapping - Class in biz.sc.mm.dm.data

AttribMapping() - Constructor for class biz.sc.mm.dm.data.AttribMapping

AttribMapping.Entry - Class in biz.sc.mm.dm.data

AttribMapping.Entry(Collection<String>, Collection<String>) - Constructor for class biz.sc.mm.dm.data.AttribMapping.Entry

Attribute - Interface in biz.sc.mm.dm.algorithm.abm

Attribute - Interface in biz.sc.mm.dm.data

This class describes the generic attribute to be used in mining operations.

AttributeAssignment - Interface in biz.sc.mm.dm.data

AttributeAssignment object instance interface.

AttributeAssignmentSet - Interface in biz.sc.mm.dm.data

AttributeAssignmentSet object instance interface.

AttributeAssignmentSetFactory - Interface in biz.sc.mm.dm.data

Factory for AttributeAssignmentSet.

AttributeCategory - Interface in biz.sc.mm.dm.algorithm.abm

AttributeCategoryFactory - Interface in biz.sc.mm.dm.algorithm.abm

AttributeCommentsManager - Interface in biz.sc.mm.dm.task

AttributeDataType - Class in biz.sc.mm.dm.data

Physical types of attribute.

AttributeDataType() - Constructor for class biz.sc.mm.dm.data.AttributeDataType

AttributeProperty - Interface in biz.sc.mm.dm.algorithm.socialnets.prop

AttributeSet<T extends Attribute> - Interface in biz.sc.mm.dm.data

Set of attributes.

AttributeSet.AttributeCreator<ATTRIBUTE extends Attribute> - Interface in biz.sc.mm.dm.data

AttributeSetExtension<T extends Attribute> - Interface in biz.sc.mm.dm.data

AttributeSetListener<T extends Attribute> - Interface in biz.sc.mm.dm.data

AttributesManipulation - Interface in biz.sc.mm.dm.algorithm.socialnets.visual

AttributeStatistics - Interface in biz.sc.mm.dm.statistics

AttributeStatistics interface contains calculated statistics.

AttributeType - Class in biz.sc.mm.dm.data

Logical types of attribute.

AttributeUsage - Interface in biz.sc.mm.dm.data

Attribute usage object captures the way attribute is used by mining function.

AttributeUsageSet - Interface in biz.sc.mm.dm.data

An AttributeUsageSet object contains a collection of AttributeUsage objects.

AUTO - Static variable in class biz.sc.mm.dm.algorithm.abm.DependencySearchMode

auto - Static variable in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.NeuronActivationFunctionType

auto - Static variable in class biz.sc.mm.transformation.settings.ReplaceMissingType

auto - Static variable in class biz.sc.mm.transformation.TransformationUsageOption

AUTO_ADVANCED - Static variable in class biz.sc.mm.dm.algorithm.abm.SamplingMode

AUTO_APPROXIMATION - Static variable in class biz.sc.mm.dm.algorithm.abm.SamplingMode

AUTO_NB - Static variable in class biz.sc.mm.dm.algorithm.abm.SamplingMode

AUTO_RRL - Static variable in class biz.sc.mm.dm.algorithm.abm.SamplingMode

AUTOMATIC - Static variable in class biz.sc.mm.dm.algorithm.abm.ClassificationThresholdType

AuxiliaryLiftEstimationMode - Class in biz.sc.mm.dm.supervised.statistical

Auxiliary LIFT estimation mode, affecting lift computation for auxiliary models.

AuxiliaryStatisticsMode - Class in biz.sc.mm.dm.supervised.statistical

Auxiliary statistics mode, used to restrict the number of stored statistics.

average - Static variable in class biz.sc.mm.dm.algorithm.mcmc.ParameterUpdateMethod

Model parameters are set to sample average.

AVERAGING - Static variable in class biz.sc.mm.dm.algorithm.ensembles.AggregationType

Avg - Static variable in class biz.sc.mm.dm.algorithm.socialnets.alg.NullHandling

B

BackProp - Interface in biz.sc.mm.dm.algorithm.feedforwardneuralnet

Standard backpropagation algorithm with momentum term.

backProp - Static variable in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardLearningAlgorithmType

standard backpropagation algorithm type

Backpropagation - Interface in biz.sc.mm.dm.algorithm.feedforwardneuralnet

Base class with settings for all algorithms from backpropagation familly.

BackpropagationOnline - Interface in biz.sc.mm.dm.algorithm.feedforwardneuralnet

Base interface for algorithms from backpropagation family which can be applied for on-line learning.

backward - Static variable in class biz.sc.mm.dm.supervised.statistical.VariableSelectionMethod

Backward Elimination method

BaseAttribute - Interface in biz.sc.mm.dm.algorithm.abm

BaseAttributeFactory - Interface in biz.sc.mm.dm.algorithm.abm

BaseClassificationTestTask - Interface in biz.sc.mm.dm.supervised.classification

Base interface for tasks checking the quality of a classification model.

BaseSignature - Interface in biz.sc.mm.dm.algorithm.abm

BaseSignatureFactory - Interface in biz.sc.mm.dm.algorithm.abm

BaseTreeSettings - Interface in biz.sc.mm.dm.algorithm.tree

General algorithm settings for tree algorithm.

basic - Static variable in class biz.sc.mm.dm.algorithm.regression.weighted.WeightType

Basic (constant) weight

best - Static variable in class biz.sc.mm.dm.algorithm.tree.nulls.NullStrategyEnum

Best - goodness-of-fit (similarity of distribution).

bestSubset - Static variable in class biz.sc.mm.dm.supervised.statistical.VariableSelectionMethod

Best Subset selection method

BIC - Static variable in class biz.sc.mm.dm.algorithm.regularizedregression.InformationCriterion

Binarize - Interface in biz.sc.mm.dm.algorithm.abm

binarize - Static variable in class biz.sc.mm.transformation.TransformationType

BinarizeAttribute - Interface in biz.sc.mm.dm.data

This Attribute extension is used by binarize transformation to indicate which value of the attribute is redundant.

BinarizeAttributeFactory - Interface in biz.sc.mm.dm.data

Factory for BinarizeAttribute.

BinarizeAttributes - Interface in biz.sc.mm.transformation.settings

Contains list of BinarizeAttribute object used for specifying redundant value.

BINARIZED_VALUES - Static variable in interface biz.sc.mm.transformation.settings.BinarizeAttributes

BinarizedValues - Class in biz.sc.mm.transformation.settings

BinarizeFactory - Interface in biz.sc.mm.dm.algorithm.abm

BinarizeParameters - Interface in biz.sc.mm.transformation.parameters

binary - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.MulticategoryModelType

Binary logistic model (forced, even if target is not binary)

BinaryDiscriminantAnalysisModel - Interface in biz.sc.mm.dm.algorithm.discriminant

Binary Discriminant Analysis model.

BinaryDiscriminantAnalysisModelStatistics - Interface in biz.sc.mm.dm.modelstats.discriminant

Discriminant Analysis model statistics.

bipolar - Static variable in class biz.sc.mm.transformation.settings.BinarizedValues

BivariateAlgorithmSettings - Interface in biz.sc.mm.dm.supervised.classification.bivariate

Common settings shared by all bivariate algorithms.

BivariateFunctionSettings - Interface in biz.sc.mm.dm.supervised.classification.bivariate

BivariateFunctionSettings is an extension of ClassificationFunctionSettings containing features that are unique and shared by all bivariate functions and algorithms (e.g. target2 attribute management).

BivariateFunctionSettingsFactory - Interface in biz.sc.mm.dm.supervised.classification.bivariate

Factory for Bivariate Function settings.

BivariateLikelihoodFunction - Interface in biz.sc.mm.dm.supervised.classification.bivariate

Interface for bivariate likelihood functions (common for all bivariate models).

BivariateLikelihoodFunctionType - Class in biz.sc.mm.dm.algorithm.bivariate

Bivariate likelihood function type (e.g.full or censored model).

BivariateProbitModelStatistics - Interface in biz.sc.mm.dm.modelstats.statistical.bivariate

Model statistics for bivariate probit models.

BivariateProbitSettings - Interface in biz.sc.mm.dm.algorithm.bivariate

Bivariate Probit algorithm settings.

BivariateProbitSettingsFactory - Interface in biz.sc.mm.dm.algorithm.bivariate

Factory for bivariate probit algorithm settings.

BivariateUsageOption - Class in biz.sc.mm.dm.supervised.statistical.classification.bivariate

Usage options specific for bivariate models.

biz.sc.mm.dm - package biz.sc.mm.dm

This package contains basic infrastructure for all other Górnik MM objects.

biz.sc.mm.dm.algorithm.abm - package biz.sc.mm.dm.algorithm.abm

biz.sc.mm.dm.algorithm.bivariate - package biz.sc.mm.dm.algorithm.bivariate

Algorithms settings for bivariate models.

biz.sc.mm.dm.algorithm.deduplication - package biz.sc.mm.dm.algorithm.deduplication

biz.sc.mm.dm.algorithm.deduplication.customcode - package biz.sc.mm.dm.algorithm.deduplication.customcode

biz.sc.mm.dm.algorithm.deduplication.metrics - package biz.sc.mm.dm.algorithm.deduplication.metrics

biz.sc.mm.dm.algorithm.discriminant - package biz.sc.mm.dm.algorithm.discriminant

Binary Linear Discriminant Analysis algorithm settings and model.

biz.sc.mm.dm.algorithm.ensembles - package biz.sc.mm.dm.algorithm.ensembles

biz.sc.mm.dm.algorithm.ets - package biz.sc.mm.dm.algorithm.ets

biz.sc.mm.dm.algorithm.featureselection - package biz.sc.mm.dm.algorithm.featureselection

biz.sc.mm.dm.algorithm.feedforwardneuralnet - package biz.sc.mm.dm.algorithm.feedforwardneuralnet

Settings and algorithms for feedforward neural networks.

biz.sc.mm.dm.algorithm.gam - package biz.sc.mm.dm.algorithm.gam

biz.sc.mm.dm.algorithm.gwaselection - package biz.sc.mm.dm.algorithm.gwaselection

biz.sc.mm.dm.algorithm.kmean - package biz.sc.mm.dm.algorithm.kmean

KMeans Clustering algorithm settings and model

biz.sc.mm.dm.algorithm.kohonen - package biz.sc.mm.dm.algorithm.kohonen

Settings and algorithms for Kohonen neural networks.

biz.sc.mm.dm.algorithm.likelihood.data - package biz.sc.mm.dm.algorithm.likelihood.data

Likelihood-based models common data interface.

biz.sc.mm.dm.algorithm.likelihood.optimization - package biz.sc.mm.dm.algorithm.likelihood.optimization

Common interface for nonlinear optimization methods.

biz.sc.mm.dm.algorithm.mars - package biz.sc.mm.dm.algorithm.mars

biz.sc.mm.dm.algorithm.mcmc - package biz.sc.mm.dm.algorithm.mcmc

biz.sc.mm.dm.algorithm.mcmc.logistic - package biz.sc.mm.dm.algorithm.mcmc.logistic

MCMC Logistic regression algorithm settings.

biz.sc.mm.dm.algorithm.naivebayes - package biz.sc.mm.dm.algorithm.naivebayes

biz.sc.mm.dm.algorithm.regression - package biz.sc.mm.dm.algorithm.regression

Common classes for regression models.

biz.sc.mm.dm.algorithm.regression.irls - package biz.sc.mm.dm.algorithm.regression.irls

IRLS regression algorithm settings.

biz.sc.mm.dm.algorithm.regression.linear - package biz.sc.mm.dm.algorithm.regression.linear

Linear regression algorithm settings, model and model statistics.

biz.sc.mm.dm.algorithm.regression.logistic - package biz.sc.mm.dm.algorithm.regression.logistic

Logistic regression algorithm settings and model.

biz.sc.mm.dm.algorithm.regression.weighted - package biz.sc.mm.dm.algorithm.regression.weighted

Weighted regression model statistics.

biz.sc.mm.dm.algorithm.regularizedregression - package biz.sc.mm.dm.algorithm.regularizedregression

biz.sc.mm.dm.algorithm.socialnets - package biz.sc.mm.dm.algorithm.socialnets

biz.sc.mm.dm.algorithm.socialnets.alg - package biz.sc.mm.dm.algorithm.socialnets.alg

biz.sc.mm.dm.algorithm.socialnets.prop - package biz.sc.mm.dm.algorithm.socialnets.prop

biz.sc.mm.dm.algorithm.socialnets.visual - package biz.sc.mm.dm.algorithm.socialnets.visual

biz.sc.mm.dm.algorithm.survival.cox - package biz.sc.mm.dm.algorithm.survival.cox

Cox algorithm settings.

biz.sc.mm.dm.algorithm.survival.nonparametric - package biz.sc.mm.dm.algorithm.survival.nonparametric

Nonparametric survival algorithm settings.

biz.sc.mm.dm.algorithm.survival.util - package biz.sc.mm.dm.algorithm.survival.util

biz.sc.mm.dm.algorithm.timeseries - package biz.sc.mm.dm.algorithm.timeseries

Common settings for TimeSeries algorithms.

biz.sc.mm.dm.algorithm.timeseries.arch - package biz.sc.mm.dm.algorithm.timeseries.arch

ARCH algorithm settings.

biz.sc.mm.dm.algorithm.timeseries.garch - package biz.sc.mm.dm.algorithm.timeseries.garch

GARCH algorithm settings.

biz.sc.mm.dm.algorithm.tree - package biz.sc.mm.dm.algorithm.tree

Algorithm settings for classification trees.

biz.sc.mm.dm.algorithm.tree.classification - package biz.sc.mm.dm.algorithm.tree.classification

biz.sc.mm.dm.algorithm.tree.nulls - package biz.sc.mm.dm.algorithm.tree.nulls

biz.sc.mm.dm.algorithm.tree.regression - package biz.sc.mm.dm.algorithm.tree.regression

biz.sc.mm.dm.algorithm.weka - package biz.sc.mm.dm.algorithm.weka

biz.sc.mm.dm.base - package biz.sc.mm.dm.base

This package contains base interfaces for Górnik MM.

biz.sc.mm.dm.clustering - package biz.sc.mm.dm.clustering

This package contains infrastructure for clustering models.

biz.sc.mm.dm.data - package biz.sc.mm.dm.data

This package contains interfaces for data representation.

biz.sc.mm.dm.modelstats.discriminant - package biz.sc.mm.dm.modelstats.discriminant

Linear Discriminant Analysis model statistics.

biz.sc.mm.dm.modelstats.ets - package biz.sc.mm.dm.modelstats.ets

biz.sc.mm.dm.modelstats.feedforwardneuralnet - package biz.sc.mm.dm.modelstats.feedforwardneuralnet

Model statistics for feedforward neural networks.

biz.sc.mm.dm.modelstats.gam - package biz.sc.mm.dm.modelstats.gam

biz.sc.mm.dm.modelstats.kmean - package biz.sc.mm.dm.modelstats.kmean

KMeans clustering model statistics.

biz.sc.mm.dm.modelstats.kohonen - package biz.sc.mm.dm.modelstats.kohonen

Model statistics for Kohonen neural networks.

biz.sc.mm.dm.modelstats.mars - package biz.sc.mm.dm.modelstats.mars

biz.sc.mm.dm.modelstats.mcmc - package biz.sc.mm.dm.modelstats.mcmc

MCMC model statistics.

biz.sc.mm.dm.modelstats.mcmc.logistic - package biz.sc.mm.dm.modelstats.mcmc.logistic

Common model statistics for MCMC regression models.

biz.sc.mm.dm.modelstats.naivebayes - package biz.sc.mm.dm.modelstats.naivebayes

biz.sc.mm.dm.modelstats.regularizedregression - package biz.sc.mm.dm.modelstats.regularizedregression

biz.sc.mm.dm.modelstats.statistical - package biz.sc.mm.dm.modelstats.statistical

Common model statistics for statistical models.

biz.sc.mm.dm.modelstats.statistical.bivariate - package biz.sc.mm.dm.modelstats.statistical.bivariate

Model statistics for bivariate models.

biz.sc.mm.dm.modelstats.statistical.regression - package biz.sc.mm.dm.modelstats.statistical.regression

Common model statistics for all regression models.

biz.sc.mm.dm.modelstats.statistical.regression.linear - package biz.sc.mm.dm.modelstats.statistical.regression.linear

Common model statistics for all linear regression models.

biz.sc.mm.dm.modelstats.statistical.regression.logistic - package biz.sc.mm.dm.modelstats.statistical.regression.logistic

Common model statistics for all logistic regression models.

biz.sc.mm.dm.modelstats.survival - package biz.sc.mm.dm.modelstats.survival

Survival model statistics.

biz.sc.mm.dm.modelstats.timeseries - package biz.sc.mm.dm.modelstats.timeseries

Time Series model statistics.

biz.sc.mm.dm.modelstats.tree - package biz.sc.mm.dm.modelstats.tree

Model details for classification trees.

biz.sc.mm.dm.modelstats.tree.classification - package biz.sc.mm.dm.modelstats.tree.classification

biz.sc.mm.dm.modelstats.tree.regression - package biz.sc.mm.dm.modelstats.tree.regression

biz.sc.mm.dm.scoringcard - package biz.sc.mm.dm.scoringcard

biz.sc.mm.dm.scoringcode - package biz.sc.mm.dm.scoringcode

Provides ability to generate scoring code for various mining models.

biz.sc.mm.dm.statistics - package biz.sc.mm.dm.statistics

This package contains classes and interfaces regarding statistics.

biz.sc.mm.dm.supervised - package biz.sc.mm.dm.supervised

This package contains infrastructure for supervised models.

biz.sc.mm.dm.supervised.approximation - package biz.sc.mm.dm.supervised.approximation

This package contains infrastructure for aproximation models.

biz.sc.mm.dm.supervised.classification - package biz.sc.mm.dm.supervised.classification

This package contains infrastructure for classification models.

biz.sc.mm.dm.supervised.classification.bivariate - package biz.sc.mm.dm.supervised.classification.bivariate

Bivariate function settings and usage options.

biz.sc.mm.dm.supervised.ets - package biz.sc.mm.dm.supervised.ets

biz.sc.mm.dm.supervised.statistical - package biz.sc.mm.dm.supervised.statistical

Common settings for statistical models, including nonlinear optimization settings and variable selection settings.

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

Common interfaces and options for all likelihood-based classification models.

biz.sc.mm.dm.supervised.statistical.classification.bivariate - package biz.sc.mm.dm.supervised.statistical.classification.bivariate

Common interfaces and options for all bivariate classification models.

biz.sc.mm.dm.supervised.statistical.survival - package biz.sc.mm.dm.supervised.statistical.survival

Common interfaces and options for all survival models.

biz.sc.mm.dm.supervised.statistical.timeseries - package biz.sc.mm.dm.supervised.statistical.timeseries

Common interfaces and options for all timeseries models.

biz.sc.mm.dm.supervised.survival - package biz.sc.mm.dm.supervised.survival

Survival function settings, apply task and test task.

biz.sc.mm.dm.supervised.timeseries - package biz.sc.mm.dm.supervised.timeseries

TimeSeries function settings, apply task and test task.

biz.sc.mm.dm.task - package biz.sc.mm.dm.task

This package contains infrastructure for representing tasks.

biz.sc.mm.transformation - package biz.sc.mm.transformation

biz.sc.mm.transformation.parameters - package biz.sc.mm.transformation.parameters

biz.sc.mm.transformation.settings - package biz.sc.mm.transformation.settings

biz.sc.util - package biz.sc.util

BooleanOperator - Class in biz.sc.mm.dm.modelstats.tree

or - The predicates are connected by a Boolean or operator. and - The predicates are connected by a Boolean and operator. xor - The predicates are connected by a Boolean xor operator. not - The predicates are connected by a Boolean not operator. surrogate - The first predicate is evaluated; if it is evaluated as 'missing', check the next predicate until the current predicate is evaluated to true or false.

BooleanOperator(String, int) - Constructor for class biz.sc.mm.dm.modelstats.tree.BooleanOperator

BooleanPredicate - Interface in biz.sc.mm.dm.modelstats.tree

Predicate value which value is always set to a boolean true or false.

BooleanPredicateFactory - Interface in biz.sc.mm.dm.modelstats.tree

Factory for creating boolean predicates.

BoostedTreesSettings - Interface in biz.sc.mm.dm.algorithm.tree.classification

BoostedTreesSettingsFactory - Interface in biz.sc.mm.dm.algorithm.tree.classification

boosting - Static variable in class biz.sc.mm.dm.algorithm.tree.classification.AggregatingMethod

BOX_COX - Static variable in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesType

breslow - Static variable in class biz.sc.mm.dm.algorithm.survival.cox.TieHandlingMethod

Cox-Breslow likelihood function

buildEmptySeed(AbstractDataMapper, SupervisedFunctionSettings, ExternalStatusManager, AbstractDataMapper) - Method in interface biz.sc.mm.dm.supervised.statistical.SeededModel

buildEverything - Static variable in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

construct all model components (fields)

BuildModel - Interface in biz.sc.mm.dm.algorithm.abm

BuildModelFactory - Interface in biz.sc.mm.dm.algorithm.abm

BuildModelResult - Interface in biz.sc.mm.dm.algorithm.abm

buildNothing - Static variable in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

don't construct any complex fields (they'll be constructed in subclass)

buildSweepStats - Static variable in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

construct only sweep matrix and model stats

C

c - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputType

The c statistic for a given observation.

c - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticInfluenceDiagnostic

The c statistic for a given observation.

CalculateApproximationTestResultTask - Interface in biz.sc.mm.dm.supervised.approximation

Specification for task used to check the quality of a classification model based on table with columns containing observed value, value returned by a model and probability returned by a model.

CalculateApproximationTestResultTaskFactory - Interface in biz.sc.mm.dm.supervised.approximation

Factory for CalculateTestResultTask objects.

calculateGroupValue(String, String) - Method in interface biz.sc.mm.transformation.parameters.GroupValuesParameters

calculateLiftCoordinates(LiftAnalysis) - Method in class biz.sc.util.LiftCoordinates

calculateMDLValue(String, String) - Method in interface biz.sc.mm.transformation.parameters.GroupValuesParameters

CalculateStatisticsTask - Interface in biz.sc.mm.dm.task

Task for calculating statistics of supplied data.

CalculateStatisticsTaskFactory - Interface in biz.sc.mm.dm.task

Factory for CalculateStatisticsTask objects.

CalculateTestResultTask - Interface in biz.sc.mm.dm.supervised.classification

Specification for task used to check the quality of a classification model based on table with columns containing observed value, value returned by a model and probability returned by a model.

CalculateTestResultTaskFactory - Interface in biz.sc.mm.dm.supervised.classification

Factory for CalculateTestResultTask objects.

CAPTURED_RESPONSE - Static variable in class biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasure

CATEGORICAL - Static variable in class biz.sc.mm.dm.algorithm.abm.ABMAttributeType

categorical - Static variable in class biz.sc.mm.dm.data.AttributeType

Enumeration constant corresponding to literal categorical.

CategoricalAttributeProperties - Interface in biz.sc.mm.dm.data

A CategoricalAttributeProperties object is used to describe properties of a categorical attribute.

CategoricalSplitStats - Interface in biz.sc.mm.dm.modelstats.tree

Split statistics for categorical split.

CategoryMatrix - Interface in biz.sc.mm.dm.data

A CategoryMatrix assigns numeric values to pairs of categories.

CategorySet - Interface in biz.sc.mm.dm.data

Set of categories.

cBar - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputType

The cBar statistic for a given observation.

cBar - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticInfluenceDiagnostic

The cBar statistic for a given observation.

Cell - Interface in biz.sc.mm.dm.modelstats.kohonen

Cell interface.

CellType - Class in biz.sc.mm.dm.modelstats.kohonen

Kohonen map cells type enumeration.

censor - Static variable in class biz.sc.mm.dm.supervised.statistical.survival.SurvivalUsageOption

attribute indicating censored observation in survival models

censored - Static variable in class biz.sc.mm.dm.algorithm.bivariate.BivariateLikelihoodFunctionType

Censored model: if y_i2 = 0 then y_i1 is not specified

chebychev - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ClusteringDistanceFunction

chebychev (maximum) metric

checkConsistency(LogicalData) - Method in interface biz.sc.mm.dm.data.PhysicalData

Checks consistency between logical data, and this physical data.

CHI_SQUARED - Static variable in class biz.sc.mm.dm.algorithm.featureselection.StatTest

ChooseModel - Interface in biz.sc.mm.dm.algorithm.abm

ChooseModelFactory - Interface in biz.sc.mm.dm.algorithm.abm

cityBlock - Static variable in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardErrorFunctionType

cityBlock (manhatan, supremum) error function type

cityBlock - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ClusteringDistanceFunction

city block metric

CLASSIFICATION - Static variable in class biz.sc.mm.dm.algorithm.abm.ProcessType

classification - Static variable in class biz.sc.mm.dm.algorithm.kohonen.KohonenMiningType

classification

ClassificationAlgorithmSettings - Interface in biz.sc.mm.dm.supervised.classification

Settings for classification algorithms.

ClassificationApplyOutput - Interface in biz.sc.mm.dm.supervised.classification

Apply output specification for classification applying process.

ClassificationApplyOutputFactory - Interface in biz.sc.mm.dm.supervised.classification

Factory for ClassificationApplyOutput.

ClassificationCategoryItem - Interface in biz.sc.mm.dm.supervised.classification

Defines classification output item for category value specified by user.

ClassificationCategoryItemFactory - Interface in biz.sc.mm.dm.supervised.classification

Factory for ClassificationCategoryItem.

ClassificationFunctionSettings - Interface in biz.sc.mm.dm.supervised.classification

A ClassificationFunctionSettings object is a subclass of SupervisedFunctionSettings that supports features unique to the classification mining function and corresponding algorithms.

ClassificationFunctionSettingsFactory - Interface in biz.sc.mm.dm.supervised.classification

Factory for ClassificationFunctionSettings.

ClassificationLearningAlgorithm - Interface in biz.sc.mm.dm.algorithm.kohonen

Interface for classification Kohonen algorithms.

ClassificationLearningAlgorithmFactory - Interface in biz.sc.mm.dm.algorithm.kohonen

Factory for Kohonen classification learning algorithms.

ClassificationLearningAlgorithmType - Class in biz.sc.mm.dm.algorithm.kohonen

Kohonen learning algorithm types enumeration.

ClassificationLikelihoodFunction - Interface in biz.sc.mm.dm.supervised.statistical

Interface for classification likelihood functions (common for all likelihood-based classification models).

ClassificationLikelihoodModel - Interface in biz.sc.mm.dm.supervised.statistical.classification

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

ClassificationModel - Interface in biz.sc.mm.dm.supervised.classification

A ClassificationModel is a subclass of SupervisedModel that supports features that are unique for all classification models.

ClassificationModelQualityMeasure - Class in biz.sc.mm.dm.algorithm.abm

ClassificationModelQualityMeasures - Interface in biz.sc.mm.dm.algorithm.abm

ClassificationNode - Interface in biz.sc.mm.dm.modelstats.tree.classification

Data structure for a single classification tree node.

ClassificationOutputItem - Interface in biz.sc.mm.dm.supervised.classification

Output item created by classification apply process.

ClassificationOutputType - Class in biz.sc.mm.dm.supervised.classification

Defines possible output types adequate for classification.

ClassificationRankItem - Interface in biz.sc.mm.dm.supervised.classification

Defines rank classification output item.

ClassificationRankItemFactory - Interface in biz.sc.mm.dm.supervised.classification

Factory for ClassificationRankItem.

ClassificationTestResult - Interface in biz.sc.mm.dm.supervised.classification

This represents the result of a test task applied to a classification model.

ClassificationTestTask - Interface in biz.sc.mm.dm.supervised.classification

This represents a task to check the quality of a classification model.

ClassificationTestTaskFactory - Interface in biz.sc.mm.dm.supervised.classification

Factory for ClassificationTestTask.

ClassificationThresholdType - Class in biz.sc.mm.dm.algorithm.abm

ClassifiersEnsembleModel - Interface in biz.sc.mm.dm.algorithm.ensembles

ClassifiersEnsembleModelFactory - Interface in biz.sc.mm.dm.algorithm.ensembles

ClassifiersEnsembleSettings - Interface in biz.sc.mm.dm.algorithm.ensembles

ClassifiersEnsembleSettingsFactory - Interface in biz.sc.mm.dm.algorithm.ensembles

clear() - Method in class biz.sc.mm.dm.data.AttribMapping

clearAllExclusions() - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Removes all information on exclusion groups.

clearCommentsForAttribute(String) - Method in interface biz.sc.mm.dm.task.AttributeCommentsManager

Clears all comments for a given attribute

clearMatchingGroupsPairs() - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingAlgorithmSettings

Clears the whole matching setup for GroupBetween.

clearRates() - Method in interface biz.sc.mm.dm.algorithm.abm.Split

clearTables() - Method in interface biz.sc.mm.dm.algorithm.abm.DataSource

clearWhere() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Clears where map.

clone() - Method in interface biz.sc.mm.dm.base.MiningAlgorithmSettings

clone() - Method in interface biz.sc.mm.dm.base.MiningFunctionSettings

clone() - Method in class biz.sc.mm.dm.data.AttribMapping

clone() - Method in class biz.sc.mm.dm.data.AttribMapping.Entry

clone(boolean) - Method in class biz.sc.mm.dm.data.AttribMapping.Entry

clone() - Method in interface biz.sc.mm.dm.data.Attribute

clone(AttributeSet<T>) - Method in interface biz.sc.mm.dm.data.AttributeSetExtension

Removes attribute with given name.

clone() - Method in interface biz.sc.mm.dm.data.AttributeUsageSet

clone() - Method in class biz.sc.mm.dm.data.DatabaseAlias

Clones this alias.

clone() - Method in interface biz.sc.mm.dm.data.Interval

clone() - Method in interface biz.sc.mm.dm.data.LogicalData

clone() - Method in interface biz.sc.mm.dm.data.PhysicalData

clone() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

clone() - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

clone() - Method in interface biz.sc.mm.dm.statistics.CorrelationMatrix

clone() - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

clone() - Method in interface biz.sc.mm.dm.statistics.NumericalStatistics

Cluster - Interface in biz.sc.mm.dm.clustering

Base interface for clusters.

clusterId - Static variable in class biz.sc.mm.dm.clustering.ClusteringOutputType

Output will contain cluster identifier for best cluster for input data.

clusterId - Variable in class biz.sc.mm.dm.clustering.ClusterScoreResult

cluster id

ClusterIdItem - Interface in biz.sc.mm.dm.clustering

Defines output for specified cluster id, and specified output type.

ClusterIdItemFactory - Interface in biz.sc.mm.dm.clustering

Factory for ClusterIdItem.

clustering - Static variable in class biz.sc.mm.dm.algorithm.kohonen.KohonenMiningType

clustering

ClusteringAlgorithmSettings - Interface in biz.sc.mm.dm.clustering

Base interface for settings of all clustering algorithms

ClusteringApplyOutput - Interface in biz.sc.mm.dm.clustering

Output for applying clutering model.

ClusteringApplyOutputFactory - Interface in biz.sc.mm.dm.clustering

Factory for ClusteringApplyOutput

ClusteringDistanceFunction - Class in biz.sc.mm.dm.algorithm.kohonen

Clustering distance functions enumeration.

ClusteringFunctionSettings - Interface in biz.sc.mm.dm.clustering

Base interface for settings of clustering function.

ClusteringFunctionSettingsFactory - Interface in biz.sc.mm.dm.clustering

Factory for ClusteringFunctionSettings.

ClusteringLearningAlgorithm - Interface in biz.sc.mm.dm.algorithm.kohonen

Interface for clustering Kohonen algorithms.

ClusteringLearningAlgorithmFactory - Interface in biz.sc.mm.dm.algorithm.kohonen

Factory for Kohonen clustering learning algorithms.

ClusteringLearningAlgorithmType - Class in biz.sc.mm.dm.algorithm.kohonen

Kohonen learning algorithm types enumeration.

ClusteringModel - Interface in biz.sc.mm.dm.clustering

Base interface for all clutering models.

ClusteringOutputItem - Interface in biz.sc.mm.dm.clustering

Output item created by clustering apply process.

ClusteringOutputType - Class in biz.sc.mm.dm.clustering

Defines possible output types adequate for approximation.

ClusteringRankItem - Interface in biz.sc.mm.dm.clustering

Defines rank classification output item.

ClusteringRankItemFactory - Interface in biz.sc.mm.dm.clustering

Factory for ClusteringRankItem.

ClusterScoreResult - Class in biz.sc.mm.dm.clustering

Scoring results for one cluster.

ClusterScoreResult() - Constructor for class biz.sc.mm.dm.clustering.ClusterScoreResult

CODE_4GL - Static variable in class biz.sc.mm.dm.scoringcode.ScoringCodeType

CodeBuilder - Interface in biz.sc.mm.dm.algorithm.deduplication.customcode

An interface for building custom Java code - custom matching and preprocessing.

coeff - Static variable in class biz.sc.mm.dm.modelstats.statistical.VariableStatistic

estimated coefficient

cols() - Method in interface biz.sc.mm.dm.algorithm.likelihood.data.DataMapper

The total number of columns in the input data.

ColumnProperty - Interface in biz.sc.mm.dm.algorithm.socialnets.prop

ColumnProperty.ColumnCondition - Enum in biz.sc.mm.dm.algorithm.socialnets.prop

ColumnProperty.ColumnConstraint - Annotation Type in biz.sc.mm.dm.algorithm.socialnets.prop

ColumnProperty.MultiColumnConstraint - Annotation Type in biz.sc.mm.dm.algorithm.socialnets.prop

CommonApplyTask - Interface in biz.sc.mm.dm.task

CommonAttribute - Interface in biz.sc.mm.dm.algorithm.abm

CommonMatchingAlgorithmSettings - Interface in biz.sc.mm.dm.algorithm.deduplication

Base interface for matching algorithms.

CommonMatchingFunctionSettings - Interface in biz.sc.mm.dm.algorithm.deduplication

Base interface for Matching Function settings.

CommonTestTask - Interface in biz.sc.mm.dm.task

Common test task.

compareTo(TableRole) - Method in class biz.sc.mm.dm.algorithm.abm.TableRole

compareTo(FeatureEvaluationRanking.Evaluation) - Method in class biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluationRanking.Evaluation

compareTo(Object) - Method in class biz.sc.mm.dm.clustering.ClusterScoreResult

ComparisonOperator - Class in biz.sc.mm.dm.modelstats.tree

The values defined in Meta Model are: equal - The relational 'equal' operator.

ComparisonOperator(String, int) - Constructor for class biz.sc.mm.dm.modelstats.tree.ComparisonOperator

CompoundPredicate - Interface in biz.sc.mm.dm.modelstats.tree

Compound predicate - contains a list of predicates with boolean operator.

ComputeModelStatisticsTask - Interface in biz.sc.mm.dm.task

Task for specifing task for computing model statistics.

ComputeModelStatisticsTaskFactory - Interface in biz.sc.mm.dm.task

Factory for ComputeModelStatisticsTask.

computeNeededVariables() - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

computeNeededVariables() - Method in interface biz.sc.mm.transformation.parameters.MARSParameters

computeS0(AbstractCoxModelImpl) - Static method in class biz.sc.mm.dm.algorithm.survival.util.ScoringCodeUtil

computeScoringProportions(List, int) - Method in interface biz.sc.mm.dm.algorithm.tree.nulls.NullStrategy

Computes the proportions with which an observation should be divided among the sub-nodes in the scoring process.

ConditionalDiscretize - Interface in biz.sc.mm.dm.algorithm.abm

Performes MDL discretization and creates output table with either original or discretized attibute, depending on a precision of models built on those attributes.

ConditionalDiscretizeFactory - Interface in biz.sc.mm.dm.algorithm.abm

ConditionalDiscretizeResult - Interface in biz.sc.mm.dm.algorithm.abm

ConditionalModule - Interface in biz.sc.mm.dm.algorithm.abm

ConditionalResult - Interface in biz.sc.mm.dm.algorithm.abm

confidence - Static variable in class biz.sc.mm.dm.supervised.approximation.ApproximationOutputType

Output will contain double value with probability of such approximation value.

confidenceIntervalCenter - Static variable in class biz.sc.mm.dm.algorithm.mcmc.ParameterUpdateMethod

Model parameters are set to the center of the aposteriori confidence interval.

confidenceLower - Static variable in class biz.sc.mm.dm.modelstats.statistical.VariableStatistic

lower bound of estimator confidence interval

confidenceUpper - Static variable in class biz.sc.mm.dm.modelstats.statistical.VariableStatistic

upper bound of estimator confidence interval

ConfusionMatrix - Interface in biz.sc.mm.dm.supervised.classification

A Confusion Matrix.

CONST_NUM - Static variable in class biz.sc.mm.dm.algorithm.abm.StratificationMode

CONST_RATIO - Static variable in class biz.sc.mm.dm.algorithm.abm.StratificationMode

contains(String) - Method in interface biz.sc.mm.dm.data.AttributeSet

Does the set contain an attribute named 'name'.

contains(String) - Method in interface biz.sc.mm.dm.data.AttributeUsageSet

Returns true if this attribute usage set contains the specified element.

containsCell(int) - Method in interface biz.sc.mm.dm.modelstats.kohonen.Segment

Specify if segment contains specified cell.

containsDestination(String) - Method in class biz.sc.mm.dm.data.AttribMapping

containsErrorMessages() - Method in interface biz.sc.mm.dm.TestReport

Check for error messages.

containsSource(String) - Method in class biz.sc.mm.dm.data.AttribMapping

containsWarningMessages() - Method in interface biz.sc.mm.dm.TestReport

Check for warning messages.

containsWeight(String) - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

Returns true if general or specyfcic(discrete, numerical, contionous) statics are calcualted for the given weight.

continous - Static variable in class biz.sc.mm.dm.algorithm.tree.classification.PrunningStat

ContinuousStatistics - Interface in biz.sc.mm.dm.statistics

A ContinuousStatistics contains continuous statistical properties of an attribute.

ConvergenceCriterion - Class in biz.sc.mm.dm.supervised.statistical

Convergence criterion for nonlinear optimization methods.

cookDistance - Static variable in class biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionOutputType

Output will contain value of the Cook's distance for a given observation.

cookDistance - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.linear.LinearInfluenceDiagnostic

The Cook's distance for a given observation.

Coordinate - Interface in biz.sc.mm.dm.modelstats.kmean

The Coordinate interface is used to manage cluster coordinates.

COPY - Static variable in class biz.sc.mm.dm.algorithm.featureselection.InteractionsUsageOption

copy - Static variable in class biz.sc.mm.transformation.TransformationUsageOption

Indicates that the attribute will be copied to from source to target.

CorrelationMatrix - Interface in biz.sc.mm.dm.statistics

COST - Static variable in class biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasure

COST_MATRIX - Static variable in class biz.sc.mm.dm.algorithm.abm.ClassificationThresholdType

CovarianceMatrixMode - Class in biz.sc.mm.dm.algorithm.discriminant

Covariance matrix mode: 1st group covariance, 2nd group covariance, mean covariance.

covRatio - Static variable in class biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionOutputType

The CovRatio statistic for a given observation.

covRatio - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.linear.LinearInfluenceDiagnostic

The CovRatio statistic for a given observation.

CoxModelFactory - Interface in biz.sc.mm.dm.algorithm.survival.cox

Factory for manual creation of Cox parametric survival model.

CoxSettings - Interface in biz.sc.mm.dm.algorithm.survival.cox

Cox algorithm settings.

CoxSettingsFactory - Interface in biz.sc.mm.dm.algorithm.survival.cox

Factory for Cox algorithm settings.

CoxTimeDependentModel - Interface in biz.sc.mm.dm.supervised.survival

CRAMERS_V - Static variable in class biz.sc.mm.dm.algorithm.featureselection.StatTest

CramersVCorrelation - Interface in biz.sc.mm.dm.statistics

create() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMTaskFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.AttributeCategoryFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttributeFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseSignatureFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.BinarizeFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.BuildModelFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.ChooseModelFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.ConditionalDiscretizeFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidationFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.DataExplorerFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.DataSourceFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariablesFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.DiscretizeFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelectionFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.GAMTransformationFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.GroupValuesFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.HeterogeneousEnsembleFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.HeterogeneousEnsemblePrepareFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.IndicatorTransformationFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionsMARSSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionsTreeSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.ModelTranslatorFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.OutliersFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.ReplaceMissingFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.ReportFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.RowOutliersFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.SampleFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.SplitFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.UsageFinderSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.abm.WOETransformationFactory

create() - Method in interface biz.sc.mm.dm.algorithm.bivariate.BivariateProbitSettingsFactory

Creates bivariate probit algorithm settings.

create(CustomMatcherPrepare) - Method in interface biz.sc.mm.dm.algorithm.deduplication.customcode.CustomMatcherFactory

Creates a custom matching object based on the prepare object.

create() - Method in interface biz.sc.mm.dm.algorithm.deduplication.customcode.CustomMatcherPrepareFactory

Creates an object implementing the CustomMatcherPrepare interface.

create(StringProcessorPrepare) - Method in interface biz.sc.mm.dm.algorithm.deduplication.customcode.StringProcessorFactory

Creates a StringProcessor object based on the code-building object prepare.

create() - Method in interface biz.sc.mm.dm.algorithm.deduplication.customcode.StringProcessorPrepareFactory

Creates an object implementing the StringProcessorPrepare interface.

create() - Method in interface biz.sc.mm.dm.algorithm.deduplication.MatchingTaskFactory

Creates empty MatchingTask.

create(MatchingAlgorithm) - Method in interface biz.sc.mm.dm.algorithm.deduplication.metrics.StringMetricFactory

Creates a string metric algorithm object.

create() - Method in interface biz.sc.mm.dm.algorithm.deduplication.ProbabilityMatchingAlgorithmSettingsFactory

Creates ProbabilityMatchingAlgorithmSettings object with default values.

create() - Method in interface biz.sc.mm.dm.algorithm.deduplication.ProbabilityMatchingFunctionSettingsFactory

Creates a ProbabilityMatchingFunctionSettings object with default values.

create() - Method in interface biz.sc.mm.dm.algorithm.deduplication.WeightedMatchingAlgorithmSettingsFactory

Creates WeightedMatchingAlgorithmSettings object with default values.

create() - Method in interface biz.sc.mm.dm.algorithm.deduplication.WeightedMatchingFunctionSettingsFactory

Creates a WeightedMatchingFunctionSettings object with the default values.

create() - Method in interface biz.sc.mm.dm.algorithm.discriminant.DiscriminantSettingsFactory

Creates Discriminant Analysis algorithm settings.

create() - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleModelFactory

create() - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleSettingsFactory

create(String) - Method in interface biz.sc.mm.dm.algorithm.ensembles.EnsembleItemFactory

create(String, ClassificationModel, double) - Method in interface biz.sc.mm.dm.algorithm.ensembles.EnsembleItemFactory

create(ClassificationModel) - Method in interface biz.sc.mm.dm.algorithm.ensembles.EnsembleItemFactory

create(ClassificationModel, double) - Method in interface biz.sc.mm.dm.algorithm.ensembles.EnsembleItemFactory

create() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluatorSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettingsFactory

Creates TreeSettings object with default values.

create() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTaskFactory

create(FeedforwardLearningAlgorithmType) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardLearningAlgorithmFactory

Creates new learning algorithm.

create() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettingsFactory

Creates a new instance of algorithm settings

create(int) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.NeuralLayerFactory

Creates a new instance of neural layer.

create() - Method in interface biz.sc.mm.dm.algorithm.gam.LinearGAMSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.gam.LogisticGAMSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionTaskFactory

create(KMeansInitializationPropertiesType) - Method in interface biz.sc.mm.dm.algorithm.kmean.KMeansInitializationPropertiesFactory

create() - Method in interface biz.sc.mm.dm.algorithm.kmean.KMeansSettingsFactory

Creates KMeansSettings instance initialized.

create(ClassificationLearningAlgorithmType) - Method in interface biz.sc.mm.dm.algorithm.kohonen.ClassificationLearningAlgorithmFactory

Creates appropriate Kohonen clusetring learning algorithm.

create() - Method in interface biz.sc.mm.dm.algorithm.kohonen.ClassificationLearningAlgorithmFactory

Creates default Kohonen classification learning algorithm.

create(ClusteringLearningAlgorithmType) - Method in interface biz.sc.mm.dm.algorithm.kohonen.ClusteringLearningAlgorithmFactory

Creates appropriate Kohonen clusetring learning algorithm.

create() - Method in interface biz.sc.mm.dm.algorithm.kohonen.ClusteringLearningAlgorithmFactory

Creates default Kohonen clustering learning algorithm.

create() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenClassificationSettingsFactory

Creates Kohonen classification settrings.

create(ClassificationLearningAlgorithmType) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenClassificationSettingsFactory

Creates Kohonen classification settrings.

create() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenClusteringSettingsFactory

Creates Kohonen clustering settrings.

create(ClusteringLearningAlgorithmType) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenClusteringSettingsFactory

Creates Kohonen clustering settrings.

create(LearningAlgorithmType) - Method in interface biz.sc.mm.dm.algorithm.kohonen.LearningAlgorithmFactory

Creates appropriate Kohonen learning algorithmg.

create(KohonenMiningType) - Method in interface biz.sc.mm.dm.algorithm.kohonen.LearningAlgorithmFactory

Creates default Kohonen learning algorithm.

create() - Method in interface biz.sc.mm.dm.algorithm.likelihood.optimization.OptimizationFactory

Creates optimization algorithm object.

create(OptimizationAlgorithmSettings) - Method in interface biz.sc.mm.dm.algorithm.likelihood.optimization.OptimizationFactory

Creates optimization algorithm object.

create(OptimizationAlgorithmSettings, Logger) - Method in interface biz.sc.mm.dm.algorithm.likelihood.optimization.OptimizationFactory

Creates optimization algorithm object.

create() - Method in interface biz.sc.mm.dm.algorithm.mars.LinearMARSSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.mars.LogisticMARSSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettingsFactory

Creates MCMC logistic regression algorithm settings.

create() - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.regression.irls.IRLSSettingsFactory

Creates IRLS regression algorithm settings.

create() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionApplyOutputFactory

Creates empty LinearRegressionApplyOutput.

create() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionOutputItemFactory

Creates empty LinearRegressionOutputItem.

create(String, Enum) - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionOutputItemFactory

Creates LinearRegressionOutputItem.

create() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionSettingsFactory

Creates linear regression algorithm settings.

create() - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionApplyOutputFactory

Creates empty LogisticRegressionApplyOutput.

create() - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputItemFactory

Creates empty LogisticRegressionOutputItem.

create(String, Enum) - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputItemFactory

Creates LogisticRegressionOutputItem.

create() - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettingsFactory

Creates logistic regression algorithm settings.

create(String) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionModelFactory

create(SupervisedFunctionSettings) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionModelFactory

create(RegressionMethod, String, String[]) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionModelFactory

create(Object[], String, String[]) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionModelFactory

create(Object[], String, String[], StatisticalSettings) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionModelFactory

create(Object[], String, String[], double[]) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionModelFactory

create(Object[], String, String[], double[], double[][]) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionModelFactory

create(Object[], String, String[], double[], double[][], StatisticalSettings) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionModelFactory

create(RegressionMethod, String, String[], double[]) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionModelFactory

create(RegressionMethod, String, String[], double[], double[][]) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionModelFactory

create(RegressionMethod, String, String[], StatisticalSettings) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionModelFactory

create(RegressionMethod, String, String[], double[], StatisticalSettings) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionModelFactory

create(RegressionMethod, String, String[], double[], double[][], StatisticalSettings) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionModelFactory

create() - Method in interface biz.sc.mm.dm.algorithm.regression.weighted.WeightedRegressionSettingsFactory

Creates weighted regression algorithm settings.

create() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedLinearRegressionSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedLogisticRegressionSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildTaskFactory

create() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaTaskFactory

create(String) - Method in interface biz.sc.mm.dm.algorithm.survival.cox.CoxModelFactory

create(SurvivalFunctionSettings) - Method in interface biz.sc.mm.dm.algorithm.survival.cox.CoxModelFactory

create(String, String, Object, String[]) - Method in interface biz.sc.mm.dm.algorithm.survival.cox.CoxModelFactory

create(String, String, Object, String[], StatisticalSettings) - Method in interface biz.sc.mm.dm.algorithm.survival.cox.CoxModelFactory

create(String, String, Object, String[], double[], double[], double[]) - Method in interface biz.sc.mm.dm.algorithm.survival.cox.CoxModelFactory

create(String, String, Object, String[], double[], double[], double[], StatisticalSettings) - Method in interface biz.sc.mm.dm.algorithm.survival.cox.CoxModelFactory

create() - Method in interface biz.sc.mm.dm.algorithm.survival.cox.CoxSettingsFactory

Creates Cox algorithm settings.

create() - Method in interface biz.sc.mm.dm.algorithm.survival.nonparametric.NonparametricSurvivalSettingsFactory

Creates nonparametric survival algorithm settings.

create() - Method in interface biz.sc.mm.dm.algorithm.timeseries.arch.ARCHSettingsFactory

Creates ARCH algorithm settings.

create() - Method in interface biz.sc.mm.dm.algorithm.timeseries.garch.GARCHSettingsFactory

Creates GARCH algorithm settings.

create() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.BoostedTreesSettingsFactory

create() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettingsFactory

Creates SmartTreesSettings object with default values.

create() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.TreeSettingsFactory

Creates TreeSettings object with default values.

create(NullStrategyEnum) - Static method in class biz.sc.mm.dm.algorithm.tree.nulls.NullStrategyFactory

Creates a null values strategy processing object identified by the strategy parameter.

create() - Method in interface biz.sc.mm.dm.algorithm.tree.regression.RegressionTreeSettingsFactory

Creates TreeSettings object with default values.

create() - Method in interface biz.sc.mm.dm.base.ScriptWrapperFactory

create() - Method in interface biz.sc.mm.dm.base.TriggerFactory

Creates empty .

create() - Method in interface biz.sc.mm.dm.clustering.ClusterIdItemFactory

Creates new ClusterIdItem with default values.

create(String, ClusteringOutputType, int) - Method in interface biz.sc.mm.dm.clustering.ClusterIdItemFactory

Creates new ClusterIdItem initlialized with specified values.

create() - Method in interface biz.sc.mm.dm.clustering.ClusteringApplyOutputFactory

Creates instance of ClusteringApplyOutput class.

create() - Method in interface biz.sc.mm.dm.clustering.ClusteringFunctionSettingsFactory

Creates a new instance of ClusteringFunctionSettings.

create() - Method in interface biz.sc.mm.dm.clustering.ClusteringRankItemFactory

Creates a new instance of ClusteringRankItem with default values.

create(String, ClusteringOutputType, int) - Method in interface biz.sc.mm.dm.clustering.ClusteringRankItemFactory

Creates a new instance of ClusteringRankItem initialized with specified paramteres.

create(String, ClusteringOutputType, int, int, boolean) - Method in interface biz.sc.mm.dm.clustering.ClusteringRankItemFactory

Creates a new instance of ClusteringRankItem initialized with specified paramteres.

create() - Method in interface biz.sc.mm.dm.data.AttributeAssignmentSetFactory

Creates empty AttributeAssignmentSet.

create(String) - Method in interface biz.sc.mm.dm.data.BinarizeAttributeFactory

Creates BinarizeAttribute with specified name.

create() - Method in class biz.sc.mm.dm.data.DatabaseAliasFactory

Creates empty DatabaseAlias object.

create(String, String, String, String) - Method in class biz.sc.mm.dm.data.DatabaseAliasFactory

Creates new DatabaseAlias object.

create(String, String, String, String, String, String) - Method in class biz.sc.mm.dm.data.DatabaseAliasFactory

Creates new DatabaseAlias object.

create(Date, Date, boolean, boolean) - Method in interface biz.sc.mm.dm.data.DateIntervalFactory

create(double, double, boolean, boolean) - Method in interface biz.sc.mm.dm.data.DoubleIntervalFactory

create() - Method in interface biz.sc.mm.dm.data.LogicalDataFactory

Creates empty LogicalData.

create(PhysicalData) - Method in interface biz.sc.mm.dm.data.LogicalDataFactory

Creates Logical Data from existing Physical Data object.

create(LogicalData) - Method in interface biz.sc.mm.dm.data.LogicalDataFactory

Creates Logical Data from existing Logical Data object.

create(String) - Method in interface biz.sc.mm.dm.data.PhysicalDataFactory

Creates PhysicalData for specified table name.

create(String, String) - Method in interface biz.sc.mm.dm.data.PhysicalDataFactory

Creates PhysicalData for specyfied alias and table name.

create(String, ReplaceMissingType) - Method in interface biz.sc.mm.dm.data.ReplaceMissingAttributeFactory

create(String, String) - Method in interface biz.sc.mm.dm.data.SignatureAssignmentFactory

Creates SignatureAssignment.

create() - Method in interface biz.sc.mm.dm.data.SignatureAssignmentFactory

Creates null SignatureAssignment.

create() - Method in interface biz.sc.mm.dm.modelstats.tree.BooleanPredicateFactory

Creates new boolean predicate instance.

create() - Method in interface biz.sc.mm.dm.modelstats.tree.NodeFactory

Creates empty tree node instance

create() - Method in interface biz.sc.mm.dm.modelstats.tree.SimplePredicateFactory

Creates new simple predicate instance.

create() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardBuilderSettingsFactory

create() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardSettingsFactory

Creates new simple predicate instance.

create() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettingsFactory

Creates empty StatisticsSettings object.

create() - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationApplyOutputFactory

Creates empty ApproximationApplyOutput.

create() - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationFunctionSettingsFactory

Creates empty ApproximationFunctionSettings.

create() - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationOutputItemFactory

Creates empty ApproximationOutputItem.

create(String, ApproximationOutputType) - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationOutputItemFactory

Creates ApproximationOutputItem.

create() - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationTestTaskFactory

Creates empty ApproximationTestTask.

create(String, String, String) - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationTestTaskFactory

Creates ApproximationTestTask.

create() - Method in interface biz.sc.mm.dm.supervised.approximation.CalculateApproximationTestResultTaskFactory

Creates empty CalculateTestResultTask object.

create() - Method in interface biz.sc.mm.dm.supervised.classification.bivariate.BivariateFunctionSettingsFactory

Creates Bivariate Function settings.

create() - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTaskFactory

Creates empty CalculateTestResultTask object.

create() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationApplyOutputFactory

Creates empty ClassificationApplyOutput.

create() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationCategoryItemFactory

Creates empty ClassificationCategoryItem.

create(String, ClassificationOutputType, Object) - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationCategoryItemFactory

Creates ClassificationCategoryItem.

create() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationFunctionSettingsFactory

Creates empty ClassificationFunctionSettings.

create() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationRankItemFactory

Creates empty ClassificationRankItem.

create(String, ClassificationOutputType, int) - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationRankItemFactory

Creates ClassificationRankItem.

create(String, String, String) - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationTestTaskFactory

Creates ClassificationTestTask.

create() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationTestTaskFactory

Creates empty ClassificationTestTask.

create() - Method in interface biz.sc.mm.dm.supervised.ets.ETSFunctionSettingsFactory

create() - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettingsFactory

Creates nonlinear optimization algorithm settings.

create() - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettingsFactory

Creates variable selection algorithm settings.

create() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalApplyOutputFactory

Creates new instance of survival apply output.

create() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalFunctionSettingsFactory

Creates Survival Function settings.

create() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestTaskFactory

Creates new instance of survival test task.

create(String, String, String) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestTaskFactory

Creates new instance of survival test task with the specified settings.

create() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesApplyOutputFactory

Creates new instance of time series apply output.

create() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesFunctionSettingsFactory

Creates Time Series Function settings.

create() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesTestTaskFactory

Creates new instance of time series test task.

create(String, String, String) - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesTestTaskFactory

Creates new instance of time series test task with the specified settings.

create() - Method in interface biz.sc.mm.dm.task.ApplySourceItemFactory

Creates empty ApplySourceItem.

create(String, String) - Method in interface biz.sc.mm.dm.task.ApplySourceItemFactory

Creates ApplySourceItem.

create() - Method in interface biz.sc.mm.dm.task.CalculateStatisticsTaskFactory

Creates empty CalculateStatisticsTask object.

create(String) - Method in interface biz.sc.mm.dm.task.CalculateStatisticsTaskFactory

Creates new CalculateStatisticsTask object.

create(String, StatisticsSettings) - Method in interface biz.sc.mm.dm.task.CalculateStatisticsTaskFactory

Creates new CalculateStatisticsTask object.

create(String, String, String) - Method in interface biz.sc.mm.dm.task.ComputeModelStatisticsTaskFactory

Creates ComputeModelStatisticsTask.

create() - Method in interface biz.sc.mm.dm.task.ComputeModelStatisticsTaskFactory

Creates empty ComputeModelStatisticsTask.

create() - Method in interface biz.sc.mm.dm.task.MiningApplyTaskFactory

Creates empty MiningApplyTask.

create(String, String, String) - Method in interface biz.sc.mm.dm.task.MiningBuildTaskFactory

Creates MiningBuildTask.

create() - Method in interface biz.sc.mm.dm.task.MiningBuildTaskFactory

Creates empty MiningBuildTask.

create() - Method in interface biz.sc.mm.dm.task.ScoringCodeApplyTaskFactory

Creates and initializes ScoringCodeApplyTask object.

create(String, String) - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTaskFactory

Creates and initializes ScoringCodeBuildTask object depending on specified parameters.

create() - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTaskFactory

Creates and initializes default (empty) instance of ScoringCodeBuildTask.

create() - Method in interface biz.sc.mm.dm.task.TransformationApplyTaskFactory

Creates empty TransformationApplyTask.

create() - Method in interface biz.sc.mm.dm.task.TransformationBuildTaskFactory

Creates empty TransformationBuildTask.

create(String) - Method in interface biz.sc.mm.transformation.DataObjectSetFactory

Creates new DataObjectSet object with given table name.

create() - Method in interface biz.sc.mm.transformation.DataObjectSetFactory

Creates empty DataObjectSet object.

create() - Method in interface biz.sc.mm.transformation.TransformationFactory

Creates new transformation.

createAlgorithm(Net) - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettings

createEmpty() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

createEvaluator(FeatureSelectionTaskExecutor) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluatorSettings

createFilter(Net) - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.FilterFactory

createLabel() - Method in class biz.sc.mm.dm.data.DatabaseAlias

Create label for this alias, that can be presented to user.

createNewAttributeForSet(String, AttributeSet<? extends Attribute>) - Method in interface biz.sc.mm.dm.data.AttributeSet.AttributeCreator

createNodeStatsForSubset(int, SplitDistributionBase) - Method in interface biz.sc.mm.dm.algorithm.tree.nulls.NullStrategy

Creates target statistics for the given subset.

createSegment(int) - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Creates new segment.

createTest() - Method in class biz.sc.mm.dm.algorithm.featureselection.StatTest

CrossValidation - Interface in biz.sc.mm.dm.algorithm.abm

CrossValidationFactory - Interface in biz.sc.mm.dm.algorithm.abm

CrossvalidationGini - Interface in biz.sc.mm.dm.algorithm.abm

CrossValidationType - Class in biz.sc.mm.dm.algorithm.abm

cumulative - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.MulticategoryModelType

Cumulative logistic model

CUSTOM - Static variable in interface biz.sc.mm.transformation.settings.ReplaceMissingAttributes

Key for custom value.

custom - Static variable in class biz.sc.mm.transformation.settings.ReplaceMissingType

custom - Static variable in class biz.sc.mm.transformation.TransformationType

CUSTOM_MATCHING_KEY - Static variable in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Show the custom matching code here.

CUSTOM_PREPROCESSING_KEY - Static variable in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

The columns with custom preprocessing Java code.

customCoordinates - Static variable in class biz.sc.mm.dm.algorithm.kmean.KMeansInitializationPropertiesType

Custom initialization points.

CustomMatcher - Interface in biz.sc.mm.dm.algorithm.deduplication.customcode

A custom matching interface.

CustomMatcherFactory - Interface in biz.sc.mm.dm.algorithm.deduplication.customcode

A factory for objects implementing the CustomMatcher interface.

CustomMatcherPrepare - Interface in biz.sc.mm.dm.algorithm.deduplication.customcode

An interface used for building custom matching objects.

CustomMatcherPrepareFactory - Interface in biz.sc.mm.dm.algorithm.deduplication.customcode

A factory for objects implementing the CustomMatcherPrepare interface.

CustomProperty - Interface in biz.sc.mm.dm.algorithm.socialnets.prop

CustomPropertyContainer - Interface in biz.sc.mm.dm.algorithm.socialnets.prop

CustomPropertyContainer.Condition - Enum in biz.sc.mm.dm.algorithm.socialnets.prop

CustomPropertyContainer.Constraint - Annotation Type in biz.sc.mm.dm.algorithm.socialnets.prop

D

DatabaseAlias - Class in biz.sc.mm.dm.data

Contain information needed to connect to specific database, that is userName, userPassword, database url, database driver class.

DatabaseAlias(String, String, String, String) - Constructor for class biz.sc.mm.dm.data.DatabaseAlias

DatabaseAlias(String, String, String, String, String, String) - Constructor for class biz.sc.mm.dm.data.DatabaseAlias

DatabaseAlias() - Constructor for class biz.sc.mm.dm.data.DatabaseAlias

DatabaseAliasFactory - Class in biz.sc.mm.dm.data

Factory for DatabaseAlias.

DataCardMapping - Interface in biz.sc.mm.dm.scoringcard

DataExplorer - Interface in biz.sc.mm.dm.algorithm.abm

DataExplorerFactory - Interface in biz.sc.mm.dm.algorithm.abm

DataMapper - Interface in biz.sc.mm.dm.algorithm.likelihood.data

Interface for data source common for all statistical models.

DataObjectSet - Interface in biz.sc.mm.transformation

DataObjectSet interface represents data objects that can be the source or target of a Transformation.

DataObjectSetFactory - Interface in biz.sc.mm.transformation

Factory interface for DataObjectSet objects.

DataSource - Interface in biz.sc.mm.dm.algorithm.abm

DataSourceFactory - Interface in biz.sc.mm.dm.algorithm.abm

DateInterval - Interface in biz.sc.mm.dm.data

Interval of dates.

DateIntervalFactory - Interface in biz.sc.mm.dm.data

dateType - Static variable in class biz.sc.mm.dm.data.AttributeDataType

DAY - Static variable in class biz.sc.mm.dm.algorithm.abm.TimePeriod

DAY - Static variable in class biz.sc.mm.dm.base.TriggerFrequencyType

decode(Object) - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

DEFAULT - Static variable in class biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionPenalty

DEFAULT_REPLACE_EXISTING_DATA - Static variable in interface biz.sc.mm.dm.task.ApplyTask

Default value for replace existing data property, set to FALSE

DEFAULT_REPLACE_EXISTING_DATA - Static variable in interface biz.sc.mm.dm.task.TransformationApplyTask

defaultChange(String, String) - Method in interface biz.sc.mm.dm.data.AliasRegistryListener

DegeneratedAttributesProcessingMethod - Class in biz.sc.mm.dm.algorithm.mcmc

deltaChiSq - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputType

The deltaChiSq statistic for a given observation.

deltaChiSq - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticInfluenceDiagnostic

The deltaChiSq statistic for a given observation.

deltaDev - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputType

The deltaDev statistic for a given observation.

deltaDev - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticInfluenceDiagnostic

The deltaDev statistic for a given observation.

DependencySearchMode - Class in biz.sc.mm.dm.algorithm.abm

DerivedVariables - Interface in biz.sc.mm.dm.algorithm.abm

DerivedVariablesFactory - Interface in biz.sc.mm.dm.algorithm.abm

DerivedVariablesResult - Interface in biz.sc.mm.dm.algorithm.abm

DerivedVariablesSelector - Class in biz.sc.mm.dm.algorithm.abm

DerivedVariablesType - Class in biz.sc.mm.dm.algorithm.abm

descending - Static variable in class biz.sc.mm.dm.SortOrder

The objects are presented in descending order based on the associated sorting value.

destination - Variable in class biz.sc.mm.dm.data.AttribMapping.Entry

devianceResidual - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputType

The deviance residuals for a given observation.

devianceResidual - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticInfluenceDiagnostic

The deviance residuals for a given observation.

dfbetas - Static variable in class biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionOutputType

The DFBETAS statistic for a given observation.

dfbetas - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputType

The DFBETAS statistic for a given observation.

dfbetas - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.linear.LinearInfluenceDiagnostic

The DFBETAS statistic for a given observation.

dfbetas - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticInfluenceDiagnostic

The DFBETAS statistic for a given observation.

dffits - Static variable in class biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionOutputType

The DFFITS statistic for a given observation.

dffits - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.linear.LinearInfluenceDiagnostic

The DFFITS statistic for a given observation.

DirectAttributeAssignment - Interface in biz.sc.mm.dm.data

DirectAttributeAssignment object instance interface.

discreteLogistic - Static variable in class biz.sc.mm.dm.algorithm.survival.cox.TieHandlingMethod

discrete logistic likelihood function

DiscreteStatistics - Interface in biz.sc.mm.dm.statistics

A DiscreteStatistics interface contains discrete statistical properties of an attribute.

Discretize - Interface in biz.sc.mm.dm.algorithm.abm

discretize - Static variable in class biz.sc.mm.transformation.TransformationType

DiscretizeFactory - Interface in biz.sc.mm.dm.algorithm.abm

DiscretizeParameters - Interface in biz.sc.mm.transformation.parameters

DiscretizeType - Class in biz.sc.mm.transformation.settings

DiscretizeType() - Constructor for class biz.sc.mm.transformation.settings.DiscretizeType

DiscretizeType(String, int) - Constructor for class biz.sc.mm.transformation.settings.DiscretizeType

DiscriminantSettings - Interface in biz.sc.mm.dm.algorithm.discriminant

Discriminant Analysis algorithm settings.

DiscriminantSettingsFactory - Interface in biz.sc.mm.dm.algorithm.discriminant

Factory for Discriminant Analysis algorithm settings.

distance - Static variable in class biz.sc.mm.dm.clustering.ClusteringOutputType

Output will contain distance between input vector and center of the specified cluster

distance - Variable in class biz.sc.mm.dm.clustering.ClusterScoreResult

distance from the centroid of the predicted cluster

distributionBased - Static variable in class biz.sc.mm.transformation.settings.ReplaceMissingType

DoubleHistogram2D - Class in biz.sc.mm.dm.data

DoubleHistogram2D() - Constructor for class biz.sc.mm.dm.data.DoubleHistogram2D

DoubleInterval - Interface in biz.sc.mm.dm.data

Interval of real numbers.

DoubleIntervalFactory - Interface in biz.sc.mm.dm.data

doubleType - Static variable in class biz.sc.mm.dm.data.AttributeDataType

The type of this attribute values is double.

DROP - Static variable in class biz.sc.mm.dm.algorithm.featureselection.InteractionsUsageOption

drop - Static variable in class biz.sc.mm.transformation.TransformationUsageOption

Indicates that the attribute will be removed from the target.

duplicate() - Method in interface biz.sc.mm.dm.modelstats.tree.SplitValue

Create identical split value object.

E

EBIC - Static variable in class biz.sc.mm.dm.algorithm.regularizedregression.InformationCriterion

efron - Static variable in class biz.sc.mm.dm.algorithm.survival.cox.TieHandlingMethod

Cox-Efron likelihood function

EMPTY_NAME - Static variable in class biz.sc.mm.dm.data.AliasRegistry

EMPTY_SOURCE - Static variable in interface biz.sc.mm.dm.algorithm.socialnets.visual.FilterFactory

EnsembleItem - Interface in biz.sc.mm.dm.algorithm.ensembles

EnsembleItemFactory - Interface in biz.sc.mm.dm.algorithm.ensembles

ensembleSize() - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleSettings

ENTROPY - Static variable in class biz.sc.mm.dm.algorithm.featureselection.InformationGainFilterStatistic

entropy - Static variable in class biz.sc.mm.dm.algorithm.naivebayes.ImportanceMeasure

entropy - Static variable in class biz.sc.mm.dm.algorithm.tree.classification.SplitEvaluation

Split assessment is taken using entropy gain.

Enum - Class in biz.sc.mm.dm

Enumeration for types.

Enum() - Constructor for class biz.sc.mm.dm.Enum

Enum(String, int) - Constructor for class biz.sc.mm.dm.Enum

Creates enumeration with given name and id.

EnumClassesProvider - Interface in biz.sc.mm.dm

Provides information about properties that can have more than one enumeration type.

equal - Static variable in class biz.sc.mm.dm.modelstats.tree.ComparisonOperator

equals(Object) - Method in class biz.sc.mm.dm.clustering.ClusterScoreResult

equals(Object) - Method in class biz.sc.mm.dm.data.AttribMapping.Entry

equals(Object) - Method in class biz.sc.mm.dm.data.DatabaseAlias

equals(Object) - Method in class biz.sc.mm.dm.Enum

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in interface biz.sc.mm.dm.modelstats.tree.SimplePredicate

equals(Object) - Method in class biz.sc.mm.dm.scoringcode.ScoringCodeType

equals(Object) - Method in class biz.sc.util.NamePair

equals(Object) - Method in class biz.sc.util.ObjectPair

error - Static variable in class biz.sc.mm.dm.TestMessageType

Error message.

Estimator2DData - Interface in biz.sc.util

ETS2DData - Interface in biz.sc.util

Created by tradzynski on 15.03.16.

ETSAlgorithmSettings - Interface in biz.sc.mm.dm.algorithm.ets

Interface for ets algorithm settings

ETSAlgorithmSettingsFactory - Interface in biz.sc.mm.dm.algorithm.ets

Factory for ETS algorithm settings

ETSFunctionSettings - Interface in biz.sc.mm.dm.supervised.ets

Interface for ets function settings

ETSFunctionSettingsFactory - Interface in biz.sc.mm.dm.supervised.ets

ETSInternalModel - Interface in biz.sc.mm.dm.algorithm.ets

Interface for ETSInternalModel internal model is a ets model: wrapper of ETSCalculator

ETSModel - Interface in biz.sc.mm.dm.algorithm.ets

Interface for ets model

ETSModelStatistics - Interface in biz.sc.mm.dm.modelstats.ets

Interface for ets model statistics

ETSSettings - Interface in biz.sc.mm.dm.algorithm.ets

Interface for ets settings

ETSSettingsFactory - Interface in biz.sc.mm.dm.algorithm.ets

Factory for ets settings

euclidean - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ClusteringDistanceFunction

euclidean metric

euclidean - Static variable in class biz.sc.mm.transformation.settings.NormType

exact - Static variable in class biz.sc.mm.dm.algorithm.survival.cox.TieHandlingMethod

exact likelihood function

exportToPMML(String) - Method in interface biz.sc.mm.dm.supervised.statistical.PMMLEnabledModel

ExtendedAttributes - Annotation Type in biz.sc.util

ExtendedSurvivalModel - Interface in biz.sc.mm.dm.supervised.survival

Common interface for additional statistics for survival models.

F

Factory - Interface in biz.sc.mm.dm

Every factory in Górnik MM implements this interface.

FeatureEvaluationRanking - Class in biz.sc.mm.dm.algorithm.featureselection

FeatureEvaluationRanking(AttributeSet) - Constructor for class biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluationRanking

FeatureEvaluationRanking.Evaluation - Class in biz.sc.mm.dm.algorithm.featureselection

FeatureEvaluationRanking.Evaluation(String, Double, int) - Constructor for class biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluationRanking.Evaluation

FeatureEvaluatorSettings - Interface in biz.sc.mm.dm.algorithm.featureselection

FeatureEvaluatorSettingsFactory - Interface in biz.sc.mm.dm.algorithm.featureselection

FeatureSelection - Interface in biz.sc.mm.dm.algorithm.abm

FeatureSelectionFactory - Interface in biz.sc.mm.dm.algorithm.abm

FeatureSelectionResult - Interface in biz.sc.mm.dm.algorithm.abm

FeatureSelectionSettings - Interface in biz.sc.mm.dm.algorithm.featureselection

FeatureSelectionSettingsFactory - Interface in biz.sc.mm.dm.algorithm.featureselection

FeatureSelectionTask - Interface in biz.sc.mm.dm.algorithm.featureselection

FeatureSelectionTaskFactory - Interface in biz.sc.mm.dm.algorithm.featureselection

FeedforwardErrorFunctionType - Class in biz.sc.mm.dm.algorithm.feedforwardneuralnet

Types of error function for learning process.

FeedforwardLearningAlgorithm - Interface in biz.sc.mm.dm.algorithm.feedforwardneuralnet

Base interface for all learning algorithm applied to feedforward neural network.

FeedforwardLearningAlgorithmFactory - Interface in biz.sc.mm.dm.algorithm.feedforwardneuralnet

Factory for learning algorithms.

FeedforwardLearningAlgorithmType - Class in biz.sc.mm.dm.algorithm.feedforwardneuralnet

Types of learning algorithm applied to feedforward neural networks.

FeedforwardNeuralNetSettings - Interface in biz.sc.mm.dm.algorithm.feedforwardneuralnet

Algorithm settings for Feedforward Neural Networks.

FeedforwardNeuralNetSettingsFactory - Interface in biz.sc.mm.dm.algorithm.feedforwardneuralnet

Factory for agorithm settings for Feedforward Neural Networks.

fillNominalPredicateNullFreqs(double[], SplitDistributionBase) - Method in interface biz.sc.mm.dm.algorithm.tree.nulls.NullStrategy

Fills in the frequencies with which a null-valued observation will be divided into a set of observations for the predicate's children for a multi-subset nominal predicate.

fillSubsetSizesCategorical(double[], SplitStats, int) - Method in interface biz.sc.mm.dm.algorithm.tree.nulls.NullStrategy

Modifies the sizes to included null cases.

fillTargetDistribution(SplitDistributionBase, double[][]) - Method in interface biz.sc.mm.dm.algorithm.tree.nulls.NullStrategy

Computes and returns the distribution of the target values among the subsets described in the SplitDistribution object.

FilterFactory - Interface in biz.sc.mm.dm.algorithm.socialnets.visual

findAttribute(String) - Method in interface biz.sc.mm.dm.data.AttributeSet

Finds attribute with given name in the set.

findProblem(Attribute, ColumnProperty.ColumnConstraint) - Method in enum biz.sc.mm.dm.algorithm.socialnets.prop.ColumnProperty.ColumnCondition

findProblem(Object, CustomPropertyContainer.Constraint) - Method in enum biz.sc.mm.dm.algorithm.socialnets.prop.CustomPropertyContainer.Condition

first - Static variable in class biz.sc.mm.dm.algorithm.discriminant.CovarianceMatrixMode

Covariance matrix of the first group

fisher - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticEstimationMethod

Fisher-Score logistic regression model

fit - Static variable in class biz.sc.mm.dm.supervised.statistical.AuxiliaryLiftEstimationMode

All auxiliary models will be fitted to create lifts.

FIXED_RATE - Static variable in class biz.sc.mm.dm.base.TriggerFrequencyType

FLAG - Static variable in class biz.sc.mm.dm.algorithm.socialnets.SnaAttributeUsage

forward(AttribMapping, AttribMapping) - Static method in class biz.sc.mm.dm.data.AttribMapping

forward - Static variable in class biz.sc.mm.dm.supervised.statistical.VariableSelectionMethod

Forward Selection method

FSAttributeSet - Interface in biz.sc.mm.dm.data

FTEST - Static variable in class biz.sc.mm.dm.algorithm.featureselection.StatTest

full - Static variable in class biz.sc.mm.dm.algorithm.bivariate.BivariateLikelihoodFunctionType

Full model

full - Static variable in class biz.sc.mm.dm.supervised.statistical.VariableSelectionMethod

Full model (no automatic variable selection)

G

gainRatio - Static variable in class biz.sc.mm.dm.algorithm.tree.classification.SplitEvaluation

Gini Index Assessment function.

gam - Static variable in class biz.sc.mm.transformation.TransformationType

GAMModel - Interface in biz.sc.mm.dm.algorithm.gam

GAMModelStatistics - Interface in biz.sc.mm.dm.modelstats.gam

Created by Małgorzata Kudelska on 2015-04-10.

GAMParameters - Interface in biz.sc.mm.transformation.parameters

GAMSettings - Interface in biz.sc.mm.dm.algorithm.gam

GAMTransformation - Interface in biz.sc.mm.dm.algorithm.abm

GAMTransformationFactory - Interface in biz.sc.mm.dm.algorithm.abm

GARCHSettings - Interface in biz.sc.mm.dm.algorithm.timeseries.garch

GARCHSettingsFactory - Interface in biz.sc.mm.dm.algorithm.timeseries.garch

Factory for GARCH algorithm settings.

gaussian - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ModificationFunction

gaussian modification

GDBASE - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

generateRandomValue() - Method in interface biz.sc.mm.dm.modelstats.kmean.Coordinate

Generates random coordinate value in range from min to max.

get(int, int) - Method in interface biz.sc.mm.dm.algorithm.likelihood.data.SweepDataModel

Gets element from the sweep matrix

get1MSpecificity(int) - Method in interface biz.sc.mm.dm.supervised.classification.ROCAnalysis

Gets the one minus specificity value for a given quantile.

get1stTargetPositiveCategory() - Method in interface biz.sc.mm.dm.supervised.classification.bivariate.BivariateFunctionSettings

Gets the positive category of the target attribute for the default equation.

get2ndTargetAttributeName() - Method in interface biz.sc.mm.dm.supervised.classification.bivariate.BivariateFunctionSettings

Gets the name of the censoring equation target attribute (target2).

get2ndTargetPositiveCategory() - Method in interface biz.sc.mm.dm.supervised.classification.bivariate.BivariateFunctionSettings

Gets the positive category of the target attribute for the censoring equation (target2).

getABMSettingsName() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMTask

getAbsoluteSupport() - Method in interface biz.sc.mm.dm.modelstats.kmean.KMeansModelStatistics

Returns absolute support which is sum of support for all clusters.

getAcceptanceRatio() - Method in interface biz.sc.mm.dm.modelstats.mcmc.MCMCStatistics

Gets the chain acceptance ratio.

getAccuracy() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getAccuracy() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationTestResult

Gets accuracy of model.

getActivationFunction() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.NeuralLayer

Gets activation function assigned to all neurons in this layer.

getActivationFunction(int) - Method in interface biz.sc.mm.dm.modelstats.feedforwardneuralnet.NeuralNetworkModelStatistics

Gets type of activation function in specified layer.

getActiveAttributesCountsIn() - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelectionResult

getActiveAttributesCountsOut() - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelectionResult

getActualName() - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Deprecated.

As of Platform version 1.0, use getTarget()

getActualSplit() - Method in interface biz.sc.mm.dm.modelstats.tree.Split

The returned split is the actual (current) split which currently works while using the tree for viewing, applying, testing etc.

getActualSplitIndex() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Returns index of the split.

getActualValueVariance() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesTestResult

Returns the value of attribute actualValueVariance.

getAddedAttributesNames() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseSignature

getAddedGWAAttributes() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

getAddedOutRoles(TableRole) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

getAdditionalAttributes() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettings

getAddMissingTimepoints() - Method in interface biz.sc.mm.dm.algorithm.abm.DataSource

getADJRsq() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModelStatistics

Returns adjusted R^2 value of the model.

getAggregatingMethod() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.BoostedTreesSettings

getAggregationType() - Method in interface biz.sc.mm.dm.algorithm.abm.HeterogeneousEnsemble

getAggregationType() - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleSettings

getAlgorithm(String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Get the MatchingAlgorithm from the AttributeUsageSet

getAlgorithmName() - Method in interface biz.sc.mm.dm.algorithm.deduplication.metrics.StringMetric

Return the algorithm name used for evaluating the similarity.

getAlgorithms() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaSettings

getAlgorithmSettings() - Method in interface biz.sc.mm.dm.base.MiningFunctionSettings

Gets settings of the algorithm which are used for building model.

getAlias() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.AttributesManipulation

getAlias(String) - Method in class biz.sc.mm.dm.data.AliasRegistry

Returns alias for a given name.

getAliasDefinitionForGython() - Static method in class biz.sc.mm.dm.data.DatabaseAlias

getAliasName(DatabaseAlias) - Method in class biz.sc.mm.dm.data.AliasRegistry

Searches for a given alias, if exists, returns its name.

getAllClusters() - Method in interface biz.sc.mm.dm.clustering.ClusteringModel

Returns collection of all clusters.

getAllInfluenceDiagnostics() - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the values of all available influence diagnostics for observations in training data.

getAllLeaves() - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

Returns all leaves of the tree, that is all nodes, that Node.isLeaf() function returns true.

getAllMappedNames() - Method in interface biz.sc.mm.dm.scoringcard.ModelToCardMap

getAllNodes() - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

Returns all nodes of the tree, which are not pruned.

getAlpha() - Method in interface biz.sc.mm.dm.algorithm.gam.SplineModel

getAlpha() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getAlpha() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

getAlpha(int) - Method in interface biz.sc.mm.dm.supervised.survival.CoxTimeDependentModel

getAlpha() - Method in interface biz.sc.mm.transformation.parameters.SplineParameters

getAlphaGam() - Method in interface biz.sc.mm.dm.algorithm.gam.GAMModel

getAlphaGam() - Method in interface biz.sc.mm.transformation.parameters.GAMParameters

getAncestors() - Method in interface biz.sc.mm.dm.clustering.Cluster

Returns the ancentors of the cluster.

getAppliableObjectName() - Method in interface biz.sc.mm.dm.task.CommonApplyTask

Gets the name of the appliable object that will be used for applying.

getApplyMapping() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardStatistics

getApplyOutput() - Method in interface biz.sc.mm.dm.task.CommonApplyTask

Returns output specification for this apply task.

getApplyOutput() - Method in interface biz.sc.mm.dm.task.MiningApplyTask

Returns output specification for this apply task.

getApproximateDataQuantiles() - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesSettings

getApproximatePercentiles() - Method in interface biz.sc.mm.dm.algorithm.abm.DataExplorer

getApproximateQuantiles() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getApproximationModelQualityMeasure() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getApriori() - Method in class biz.sc.util.LiftCoordinates

getAprioriTargetProbability(Object) - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesModel

getArray() - Method in interface biz.sc.mm.dm.algorithm.likelihood.data.SweepDataModel

Gets a pointer to the sweep matrix

getAssignedPhysicalAttribute(String) - Method in interface biz.sc.mm.dm.task.ApplyTask

Gets the name of the physical attribute assigned to given name of signature attribute.

getAssignedPhysicalAttribute(String) - Method in interface biz.sc.mm.dm.task.ComputeModelStatisticsTask

Gets the name of the physical attribute assign to given name of signature attribute.

getAssignedSignatureAttribute(String) - Method in interface biz.sc.mm.dm.task.ApplyTask

Helper method for convience use of model assignement.

getAssignedSignatureAttribute(String) - Method in interface biz.sc.mm.dm.task.ComputeModelStatisticsTask

Gets the name of the signature attribute assign to given name of physical attribute.

getAssignedSourceAttributeName(String) - Method in interface biz.sc.mm.dm.task.ApplyTask

Returns source data attribute name for given output attribute name.

getAssignment() - Method in interface biz.sc.mm.dm.data.AttributeAssignmentSet

Returns the value of reference assignment.

getAttCategorySet() - Method in interface biz.sc.mm.dm.modelstats.tree.CategoricalSplitStats

returns split attribute category set

getAttribute(String) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseSignature

getAttribute(int) - Method in interface biz.sc.mm.dm.data.AbstractPhysicalData

Gets attribute with given index.

getAttribute(String) - Method in interface biz.sc.mm.dm.data.AbstractPhysicalData

Gets attribute with given name.

getAttribute(int) - Method in interface biz.sc.mm.dm.data.AttributeSetExtension

Gets attribute with given index.

getAttribute(String) - Method in interface biz.sc.mm.dm.data.AttributeSetExtension

Gets attribute with given name.

getAttribute(String) - Method in interface biz.sc.mm.dm.data.AttributeUsageSet

Gets attribute usage with given name.

getAttribute(String) - Method in interface biz.sc.mm.dm.data.LogicalData

Gets attribute with given name.

getAttribute(String) - Method in interface biz.sc.mm.dm.data.Signature

Gets attribute with given name.

getAttribute(int) - Method in interface biz.sc.mm.dm.data.StatisticsAttributeSet

Gets attribute with given index.

getAttribute(String) - Method in interface biz.sc.mm.dm.data.StatisticsAttributeSet

Gets attribute with given name.

getAttribute() - Method in interface biz.sc.mm.dm.modelstats.tree.SimplePredicate

Returns logical attribute object for the split attribute

getAttribute(String) - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardData

Gets attribute with given name.

getAttributeCount() - Method in interface biz.sc.mm.dm.data.AttributeSet

Gets the number of attributes in the set.

getAttributeIndex(String) - Method in interface biz.sc.mm.dm.data.AbstractPhysicalData

Gets index of attribute with given name.

getAttributeIndex(String) - Method in interface biz.sc.mm.dm.data.AttributeSetExtension

Gets index of attribute with given name.

getAttributeIndex(String) - Method in interface biz.sc.mm.dm.data.StatisticsAttributeSet

Gets index of attribute with given name.

getAttributeLevelNameSwitcherToMergedName() - Method in interface biz.sc.mm.transformation.parameters.GroupValuesParameters

getAttributeLevelToProbability() - Method in interface biz.sc.mm.transformation.parameters.GroupValuesParameters

getAttributeName() - Method in class biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluationRanking.Evaluation

getAttributeName() - Method in interface biz.sc.mm.dm.modelstats.tree.Split

Returns split attribute name.

getAttributeName() - Method in interface biz.sc.mm.dm.scoringcard.MapItem

getAttributeNames() - Method in class biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluationRanking

getAttributes(String) - Method in interface biz.sc.mm.dm.algorithm.abm.Signature

getAttributes() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.NetworkAttributes

getAttributes() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

getAttributes() - Method in interface biz.sc.mm.dm.data.AttributeSet

Gets the list of all attributes in the set.

getAttributes(AttributeType) - Method in interface biz.sc.mm.dm.data.LogicalData

Gets attributes with given type.

getAttributes() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Returns list of attribute names (as String objects) that should be calculated.

getAttributesSettings() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardBuilderSettings

getAttributeStatistics() - Method in interface biz.sc.mm.dm.data.StatisticsAttribute

Returns an attribute statistics for this attribute.

getAttributesToAdd() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.AttributesManipulation

getAttributesToRemove() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.AttributesManipulation

getAttributesToRename() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.AttributesManipulation

getAttributeType() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getAttributeType() - Method in interface biz.sc.mm.dm.data.LogicalAttribute

Gets the type of this attribute.

getAttributeTypeFrozen() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getAttributeUsage() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getAttributeUsageFrozen() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getAttributeUsageSet() - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Returns the attribute usage set.

getAttributeUsageSet() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

getAttributeUsageSet() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettings

getAttributeUsageSet() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterSettings

getAttributeUsageSet() - Method in interface biz.sc.mm.dm.base.MiningFunctionSettings

Gets the usage of attributes in this function settings.

getAttributeUsageSet() - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

Gets the usage of attributes in this transformation settings.

getAttributeUsageSetName() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettings

getAutocorrelationData() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesModel

Calculates data for the sample autocorrelation and the partial autocorrelation plots.

getAutocorrelationTestSpan() - Method in interface biz.sc.mm.dm.algorithm.timeseries.TimeSeriesAlgorithmSettings

Gets the time span for autocorrelation test (e.g. autocorrelation "t" against "t-span").

getAutomaticModelSelection() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Gets automatic model selection flag

getAutomaticTransformations() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettings

getAutoRatio() - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

getAutoSimulationsNumber() - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionsTreeSettings

getAuxiliaryLiftEstimationMode() - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Gets the auxiliary lift estimation mode.

getAuxiliaryModelsTrainDataTestResults() - Method in interface biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticRegressionModelStatistics

Gets TestResults for training data and auxiliary models.

getAuxiliaryModelsValidationDataTestResults() - Method in interface biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticRegressionModelStatistics

Gets TestResults for validation data and auxiliary models.

getAuxiliaryStatistics() - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets additional statistics of auxiliary models (e.g. vector of p-values for all attributes).

getAuxiliaryStatisticsMode() - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Gets auxiliary statistics switch value.

getAvailableNames() - Method in interface biz.sc.mm.dm.algorithm.socialnets.prop.AttributeProperty

getB(int) - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModelStatistics

Returns estimated model parameter value.

getBaseLevel() - Method in class biz.sc.util.LiftCoordinates

getBaseName() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluatorSettings

getBaseName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettings

getBasePoints() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardCategory

getBeginLearningRate() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Gets begining learning rate.

getBeginNeighbourhoodRate() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Gets begining neighbourhood rate.

getBestInternalModel() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSModel

Gets best internal model

getBestSplits() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

List of best splits.

getBeta() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionModel

getBinarizedValues() - Method in interface biz.sc.mm.dm.data.BinarizeAttribute

getBinarizedValues(String) - Method in interface biz.sc.mm.transformation.parameters.BinarizeParameters

getBinCount() - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

getBody() - Method in interface biz.sc.mm.dm.algorithm.deduplication.customcode.CodeBuilder

Returns the custom Java code.

getBody() - Method in interface biz.sc.mm.dm.algorithm.deduplication.customcode.CustomMatcher

Returns the body of the matching method.

getBoxCoxLambda(String) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariablesResult

Used only if getDerivedVariableType(derived) returns DerivedVariablesType.BOX_COX.

getBoxCoxLambdaSet() - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

getBuildDataIdentifier() - Method in interface biz.sc.mm.dm.base.MiningModel

Gets the unique identifier of physical data used to build this model.

getBuildDataIdentifier() - Method in interface biz.sc.mm.transformation.Transformation

Gets the unique identifier of physical data used to build this transformation.

getBuildDataName() - Method in interface biz.sc.mm.dm.task.MiningBuildTask

Gets the name of data which will be used to build model.

getBuildMapping() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardStatistics

getBuildTargetAttributeName() - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionApplyOutput

Gets the name of the target attribute, used during model building.

getBuiltSplit() - Method in interface biz.sc.mm.dm.modelstats.tree.Split

The returned split is the original split in model created by build task.

getBuiltSplitIndex() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Returns index of the split that was used by build task.

getBurnin() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getCalculateCategoricalHistogram() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Returns whether discrete statistics should be calculated.

getCalculateConditionalDiscretize() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

getCalculateCorrelationRatio() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getCalculateCorrelations() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

getCalculateCramerCorrelation() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getCalculatedCustomApriori() - Method in class biz.sc.util.LiftCoordinates

getCalculateDerivedVariables() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

getCalculateDetailed() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Returns whether detailed statistics should be calculated.

getCalculatedForLeftInterval() - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

getCalculatedForLeftIntervalAsPercent() - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

getCalculatedForNumberOfIntervals() - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

getCalculatedForRightInterval() - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

getCalculatedForRightIntervalAsPercent() - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

getCalculatedNumericalTarget() - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

getCalculatedNumericalTarget() - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

getCalculatedTargetName() - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

Returns a name of a target attribute for which statistics was calculated.

getCalculatedTargetName() - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

Returns a name of a target attribute for which statistics was calculated.

getCalculatedWeightName() - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

getCalculatedWeightName() - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

getCalculatedWeightName() - Method in interface biz.sc.mm.dm.statistics.NumericalStatistics

getCalculateGiniHistogram() - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

getCalculateLog() - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

getCalculateMode() - Method in interface biz.sc.mm.dm.algorithm.abm.DataExplorer

getCalculateModelStatistics() - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesSettings

getCalculateNumericalHistogram() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Returns whether continuous statistics should be calculated.

getCalculatePearsonCorrelation() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getCalculatePercentiles() - Method in interface biz.sc.mm.dm.algorithm.abm.DataExplorer

getCalculateQuantiles() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Returns whether quantiles should be calculated.

getCalculateReciprocal() - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

getCalculateSqr() - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

getCalculateSqrt() - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

getCalculateTrainStatistics() - Method in interface biz.sc.mm.dm.algorithm.abm.BuildModel

getCalculateTrainStatistics() - Method in interface biz.sc.mm.dm.algorithm.abm.HeterogeneousEnsemble

getCalculateUniformityIndexes() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getCalculator() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSInternalModel

Gets ets calculator from internal model

getCalcutateBasic() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getCanGenerateWithCompilationErrors() - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

Gets information that model is created with errors or not.

getCapturedResponse() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getCardData() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardStatistics

getCaseCount() - Method in interface biz.sc.mm.dm.clustering.Cluster

Returns the number of cases in the portion of the training data assigned to the cluster during the model build, including children counts.

getCases(int) - Method in interface biz.sc.mm.dm.supervised.classification.PlotAnalysis

Gets number of cases in quantiles: 0,..

getCaseSensitive() - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingAlgorithmSettings

Get the flag indicating whether the string comparisons should be case sensitive or not.

getCasesInQuantile(int) - Method in interface biz.sc.mm.dm.supervised.classification.LiftAnalysis

Gets number of cases in quantile index.

getCatalog() - Method in class biz.sc.mm.dm.data.DatabaseAlias

Returns the catalog.

getCategorical() - Method in interface biz.sc.mm.dm.modelstats.tree.SplitValue

Returns categorical values for each child for categorical split.

getCategoricalProperties() - Method in interface biz.sc.mm.dm.data.LogicalAttribute

Gets categorical properties of this attribute.

getCategoricalType() - Method in interface biz.sc.mm.dm.algorithm.abm.ReplaceMissing

getCategoricalValue() - Method in interface biz.sc.mm.dm.algorithm.abm.ReplaceMissing

getCategories(String) - Method in interface biz.sc.mm.dm.data.AttributeSet

Gets categories of binarized attribute.

getCategories() - Method in interface biz.sc.mm.dm.data.CategorySet

Gets list with all categories in the set.

getCategories() - Method in interface biz.sc.mm.dm.data.PhysicalAttribute

getCategories() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardAttribute

getCategoriesType() - Method in interface biz.sc.mm.dm.data.CategorySet

Gets type of categories.

getCategory() - Method in interface biz.sc.mm.dm.algorithm.abm.AttributeCategory

getCategory() - Method in interface biz.sc.mm.dm.scoringcard.MapItem

getCategoryCases(Object) - Method in interface biz.sc.mm.dm.supervised.classification.TargetAnalysis

Returns number of cases with specified target value in test data set.

getCategorySet() - Method in interface biz.sc.mm.dm.data.CategoricalAttributeProperties

Gets the set of this attribute categories.

getCategorySet() - Method in interface biz.sc.mm.dm.supervised.classification.TargetAnalysis

Returns set of target categories.

getCategoryValues() - Method in interface biz.sc.mm.dm.modelstats.tree.SimplePredicate

Return list of categorical values with which some attribute value will be compared to.

getCell(int) - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Gets specified cell.

getCell(int, int) - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Gets specified cell.

getCellIds() - Method in interface biz.sc.mm.dm.modelstats.kohonen.KohonenModelStatistics

Gets cells ids.

getCells() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Gets all cells.

getCells() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Segment

Gets ids of all cells in segment.

getCellsCount() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Gets cells count.

getCellStatistics() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Cell

Gets set of cell attributes statics.

getCellsType() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Gets cells (neighbourhood) type.

getCellsType() - Method in interface biz.sc.mm.dm.modelstats.kohonen.KohonenModelStatistics

Gets cells type.

getCellsType() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Gets cells type.

getCellVector(int) - Method in interface biz.sc.mm.dm.modelstats.kohonen.KohonenModelStatistics

Gets specified cell vector.

getCensorAttributeName() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalModel

Gets the name of the censor attribute.

getCensoredCategory() - Method in interface biz.sc.mm.dm.algorithm.likelihood.data.DataMapper

Gets the censored category (survival models only).

getCensoredCategory() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalFunctionSettings

Gets the censor attribute category value for censored observation.

getCensoredCategory() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestTask

Gets the censor attribute category value for censored observation.

getCensorName() - Method in interface biz.sc.mm.dm.algorithm.likelihood.data.DataMapper

Gets the name of the censor attribute (survival models only).

getCensorName() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalFunctionSettings

Gets the name of the censor attribute.

getCensorName() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestTask

Gets the name of the censor attribute.

getCentroidCoordinate(LogicalAttribute) - Method in interface biz.sc.mm.dm.clustering.Cluster

Returns the centroid point of the specified attribute for the cluster.

getCentroidCoordinate(LogicalAttribute, Object) - Method in interface biz.sc.mm.dm.clustering.Cluster

Returns the centroid point of the specified attribute for the cluster.

getChainLength() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getChanceOfBeingGood() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardCategory

getChangedInRole(TableRole) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

getChangedName(TableRole) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

getChangedOutRole(TableRole) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

getChildren() - Method in interface biz.sc.mm.dm.clustering.Cluster

Returns the collection of Cluster objects that are children of the cluster node.

getChildren() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Gets the list of this node children.

getChildrenCount() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Gets the number of children.

getChiSquare(Object, Object) - Method in interface biz.sc.mm.dm.statistics.CramersVCorrelation

getChiSquare() - Method in interface biz.sc.mm.dm.statistics.CramersVCorrelation

getCIndex() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

getCIndexLimit() - Method in interface biz.sc.mm.dm.algorithm.abm.UsageFinderSettings

getClassDefinition() - Method in interface biz.sc.mm.dm.algorithm.deduplication.customcode.CodeBuilder

Returns a regular Java class definition.

getClassificationModelQualityMeasure() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getClassificationThreshold() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getClassificationThreshold() - Method in interface biz.sc.mm.dm.algorithm.discriminant.BinaryDiscriminantAnalysisModel

Gets classification threshold for discriminant analysis model.

getClassificationThresholdType() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getClassifiersToCreate() - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleSettings

getClassifiersToReuse() - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleSettings

getClusterById(int) - Method in interface biz.sc.mm.dm.clustering.ClusteringModel

Returns cluster specified by cluster identifier

getClusterCount() - Method in interface biz.sc.mm.dm.algorithm.kmean.KMeansSettings

Gets clusters count

getClusterId() - Method in interface biz.sc.mm.dm.clustering.Cluster

Returns the cluster id.

getClusterLevel() - Method in interface biz.sc.mm.dm.clustering.ClusteringRankItem

Gets level of cluster.

getClusters() - Method in interface biz.sc.mm.dm.modelstats.kmean.KMeansModelStatistics

Returns collection of all clusters.

getClustersCount() - Method in interface biz.sc.mm.dm.clustering.ClusteringModel

Returns number of clusters.

getClustersCount() - Method in interface biz.sc.mm.dm.modelstats.kmean.KMeansModelStatistics

Returns clusters count.

getCode() - Method in class biz.sc.mm.dm.data.DatabaseAlias

Deprecated.

getCodeBody() - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeObject

Gets generated code body.

getCodedName(String, String) - Method in interface biz.sc.mm.dm.data.AttributeSet

Gets coded name, as used in data.

getCodeLanguage() - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeObject

Gets code language

getCodeLanguage() - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

Gets code language type used to generate scoring code.

getCoefficient(String) - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the coefficient of the given variables.

getCoefficient(String) - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalModel

Gets the coefficient of the given variables.

getCoefficients() - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the list of coefficients for attributes in the model.

getCoefficients() - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalModel

Gets the list of coefficients for attributes in the model.

getCol() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Cell

Gets cell collumn.

getComparisonOperator() - Method in interface biz.sc.mm.dm.modelstats.tree.SimplePredicate

Returns boolean operator used to perform the predicate checking

getComparisonOperator(int) - Method in interface biz.sc.mm.dm.modelstats.tree.Split

Gets the split operator for i'th child.

getCompiledClass() - Method in interface biz.sc.mm.dm.algorithm.deduplication.customcode.CodeBuilder

Returns an object of a proper class incorporating the custom code.

getComponents() - Method in interface biz.sc.mm.dm.data.VectorLogicalAttribute

getComponents() - Method in interface biz.sc.mm.dm.modelstats.tree.MultipleTreeModelStatistics

getComponentsNames() - Method in interface biz.sc.mm.transformation.parameters.PCAParameters

getComponentsNumber() - Method in interface biz.sc.mm.transformation.parameters.PCAParameters

getComponentsTrainErrors() - Method in interface biz.sc.mm.dm.modelstats.tree.MultipleTreeModelStatistics

getComponentsValidationErrors() - Method in interface biz.sc.mm.dm.modelstats.tree.MultipleTreeModelStatistics

getComponentType() - Method in interface biz.sc.mm.dm.data.VectorLogicalAttribute

getConditionalProbability(Object, String, Object) - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesModel

getConditionalProbability(Object, int, Object) - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesModel

getConditionalStatistic(String) - Static method in class biz.sc.mm.dm.algorithm.featureselection.InformationGainFilterStatistic

getConfidenceFactor() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Confidence factor for estimating error made by tree for pruning purposes.

getConfidenceLevel() - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Gets confidence level for interval estimation.

getConfusionMatrix() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationTestResult

Gets confusion matrix.

getContent() - Method in interface biz.sc.mm.dm.base.ScriptWrapper

Get the content of script to be executed by Trigger

getContinuousStatistics() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

Returns a continuous statistics (if available) of the attribute.

getConvergenceCriterion() - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

Gets convergence criterion for nonlinear optimization method (e.g.gradient norm or likelihood change).

getConvergenceThreshold() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Gets value of convergence treshold

getConvergenceThreshold() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

getConvergenceThreshold() - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

getCopiedNames() - Method in interface biz.sc.mm.transformation.TransformationSetsHandler

getCopy() - Method in class biz.sc.mm.dm.data.AliasRegistry

Create copy of AliasRegistry with the same aliases.

getCorrelation(Object, AttributeCategory) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getCorrelation(AttributeCategory) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getCorrelation(String, String) - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the correlation of two given variables.

getCorrelation(String, String) - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalModel

Gets the correlation of two given variables.

getCorrelationCoefficient() - Method in interface biz.sc.mm.dm.supervised.classification.bivariate.BivariateLikelihoodFunction

getCorrelationMatrix() - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the correlation matrix for the estimated parameters.

getCorrelationMatrix() - Method in interface biz.sc.mm.dm.statistics.StatisticsSet

getCorrelationMatrix() - Method in interface biz.sc.mm.dm.supervised.statistical.LikelihoodFunction

Gets the correlation matrix for the estimated parameters.

getCorrelationMatrix() - Method in interface biz.sc.mm.dm.task.CalculateStatisticsTask

getCorrelationPairs() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getCorrelationRatio(String, String) - Method in interface biz.sc.mm.dm.statistics.CorrelationMatrix

getCost() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getCostX() - Method in interface biz.sc.mm.dm.algorithm.discriminant.DiscriminantSettings

Gets misclassification cost of classifying observation from the 1st class as the 2nd class.

getCostY() - Method in interface biz.sc.mm.dm.algorithm.discriminant.DiscriminantSettings

Gets misclassification cost of classifying observation from the 2nd class as the 1st class.

getCount(String) - Method in interface biz.sc.mm.dm.algorithm.abm.Signature

getCount(int, int) - Method in class biz.sc.mm.dm.data.DoubleHistogram2D

getCount(Object, Object) - Method in interface biz.sc.mm.dm.modelstats.tree.CategoricalSplitStats

Returns number of observations WITHOUT NULL values which have their target and attribute values equal to the given ones.

getCount() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Gets the total number of observations that fall into this node.

getCount(Object, Object) - Method in interface biz.sc.mm.dm.supervised.classification.ConfusionMatrix

Returns number of cases for which classifier decided 'predicted' value, when it should decide to choose 'actual' value.

getCountInInterval(Interval) - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

Returns number of occuriences of values in the given interval.

getCountInInterval(Interval, Object) - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

Returns number of occuriences of values in specified interval and target value.

getCountInIntervalAsIs(Interval) - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

getCountInIntervalAsIs(Interval, Object) - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

getCountInIntervals() - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

Returns numbers of occuriences of values in all available intervals.

getCountInIntervalsAsIs() - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

getCounts() - Method in class biz.sc.mm.dm.data.DoubleHistogram2D

getCounts(Object) - Method in interface biz.sc.mm.dm.modelstats.tree.NumericalSplitStats

Returns histogram counts for split attribute, restricted to specified target category.

getCovariance(String, String) - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the covariance of two given variables.

getCovariance(String, String) - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalModel

Gets the covariance of two given variables.

getCovarianceMatrix() - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the covariance matrix for the estimated parameters.

getCovarianceMatrix() - Method in interface biz.sc.mm.dm.supervised.statistical.LikelihoodFunction

Gets the covariance matrix for the estimated parameters.

getCovarianceMatrixMode() - Method in interface biz.sc.mm.dm.algorithm.discriminant.DiscriminantSettings

Gets the method of covariance matrix estimation (e.g.1st/2nd class matrix or the average matrix).

getCramersV() - Method in interface biz.sc.mm.dm.statistics.CramersVCorrelation

getCramersVCorrelation(String, String) - Method in interface biz.sc.mm.dm.statistics.CorrelationMatrix

getCreateOutputPD() - Method in interface biz.sc.mm.dm.algorithm.deduplication.MatchingTask

Returns the flag indicating wheter a output physical data is created during the matching process.

getCrossvalidationGini() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getCrossValidationType() - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

getCumulativeLifts() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getCustomApriori() - Method in class biz.sc.util.LiftCoordinatesSettings

getCustomAttributes() - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

getCustomMatcher(String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Returns a custom matcher set for the given attribute.

getCustomPreprocessor(String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Returns a processor mapped for the given attribute.

getCustomPreprocessorState(String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Tells wheter a custom preprocessor is set or not.

getCustomProperties(Class<T>) - Method in interface biz.sc.mm.dm.algorithm.socialnets.prop.CustomPropertyContainer

getCustomValue() - Method in interface biz.sc.mm.dm.data.ReplaceMissingAttribute

getCustomValue(String) - Method in interface biz.sc.mm.transformation.parameters.ReplaceMissingParameters

getCutoff() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getCutOff() - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingAlgorithmSettings

Get the value of cutOff.

getCutoffScore() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getCutoffThresh() - Method in interface biz.sc.mm.dm.algorithm.mars.LogisticMARSSettings

getCutPoints(String) - Method in interface biz.sc.mm.transformation.parameters.DiscretizeParameters

getCutPoints(String) - Method in interface biz.sc.mm.transformation.parameters.GroupValuesParameters

getCutPrc() - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationTestTask

getDamped() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Gets value of damped parameter

getData() - Method in interface biz.sc.mm.dm.scoringcard.DataCardMapping

getDatabaseAlias() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMCommonSettings

getDatabaseAlias() - Method in interface biz.sc.mm.dm.data.PhysicalData

Gets database alias pointing to proper database.

getDatabaseAlias() - Method in interface biz.sc.mm.transformation.DataObjectSet

Gets database alias pointing to proper database.

getDatabaseType() - Method in interface biz.sc.mm.dm.algorithm.abm.Attribute

getDatabaseType() - Method in class biz.sc.mm.dm.data.DatabaseAlias

Gets database type.

getDatabaseURL() - Method in class biz.sc.mm.dm.data.DatabaseAlias

Gets database URL.

getDataExplorer() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

getDataName() - Method in interface biz.sc.util.Simple2DData

name of data

getDataProcessor() - Method in interface biz.sc.mm.dm.modelstats.feedforwardneuralnet.NeuralNetworkModelStatistics

getDataSource() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getDataSource(LogicalData, boolean) - Method in interface biz.sc.mm.dm.data.PhysicalData

Returns data source linked with this object.

getDataSource() - Method in interface biz.sc.mm.dm.data.PhysicalData

getDataType() - Method in interface biz.sc.mm.dm.data.Attribute

Gets the data type of this attribute.

getDecodedAttributes() - Method in interface biz.sc.mm.dm.data.AttributeSet

When binarize is used, it codes information about attributes in its names.

getDecodedName(String) - Method in interface biz.sc.mm.dm.data.AttributeSet

Gets decoded name, as used in data.

getDefault() - Static method in class biz.sc.mm.dm.data.AliasRegistry

The only way to get this class instance

getDefaultAlias() - Method in class biz.sc.mm.dm.data.AliasRegistry

Returns the default alias

getDefaultAliasName() - Method in class biz.sc.mm.dm.data.AliasRegistry

Returns the name of default alias

getDefaultAliasRegistry() - Method in class biz.sc.mm.dm.data.DatabaseAliasFactory

Gets default DatabaseAlias object.

getDefaultValue(Class) - Static method in class biz.sc.mm.dm.Enum

Gets default enumeration for given class.

getDegeneratedAttributesProcessingMethod() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getDegeneratedAttributesVarianceForPrior() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getDegeneratedAttributesVarianceForRandomWalk() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getDeleteTable() - Method in interface biz.sc.mm.dm.algorithm.deduplication.MatchingTask

Returns the flag indicating whether the output is working in the overwrite or append mode

getDeleteTempTables() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMTask

getDependencyRsqThreshold() - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelection

getDependencySearchMode() - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelection

getDerivedVariable(String) - Method in interface biz.sc.mm.dm.algorithm.abm.ConditionalResult

getDerivedVariables(String) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariablesResult

getDerivedVariablesSelector() - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

getDerivedVariableType(String) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariablesResult

getDescription() - Method in interface biz.sc.mm.dm.data.Attribute

Gets the description of this attribute.

getDescription() - Method in interface biz.sc.mm.dm.PersistentObject

Gets the description of the object.

getDestinationAttributeName(Double) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalApplyOutput

Gets the name of the output attribute for the specified time point.

getDestinationAttributeName(Double) - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesApplyOutput

Gets the name of the output attribute for the specified time point.

getDestinationAttributes() - Method in interface biz.sc.mm.dm.task.ApplyTask

Returns list of all direct input-output attributes names in target table.

getDestinationElements() - Method in class biz.sc.mm.dm.data.AttribMapping

getDestinationName() - Method in interface biz.sc.mm.dm.task.ApplyOutputItem

Gets the name of attribute in output table.

getDevianceResidual(double, double, double) - Method in interface biz.sc.mm.dm.supervised.statistical.GLMLikelihoodFunction

Gets the deviance residual for a given observation.

getDF() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModelStatistics

Returns degrees of freedom of the model.

getDirectAttribMapping() - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

getDirectMapping() - Method in interface biz.sc.mm.dm.task.ApplyTask

Returns direct mapping specification list.

getDirectMapping() - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

Returns direct mapping specification list.

getDiscreteCount() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getDiscreteCountCalculated() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getDiscreteCountExceeded() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getDiscreteCountLimit() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMCommonSettings

getDiscreteStatistics() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

Returns a discrete statistics (if available) of the attribute.

getDiscreteValue(String, double) - Method in interface biz.sc.mm.transformation.parameters.DiscretizeParameters

getDiscreteValues() - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

Returns all discrete values.

getDiscretizeTransformationChosen() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getDiscretizeType() - Method in interface biz.sc.mm.dm.algorithm.abm.Discretize

getDisplayNetwork() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

getDistance(String, String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.metrics.StringMetric

Evaluates the similarity (according to some metric) of the two given strings.

getDistanceFunction() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Gets distance function between two vectors.

getDriverClassName() - Method in class biz.sc.mm.dm.data.DatabaseAlias

Returns the driverClassName.

getDroppedNames() - Method in interface biz.sc.mm.transformation.TransformationSetsHandler

getEBICGamma() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

getEffectiveIntervals(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getEffectiveLeftInterval(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getEffectiveLeftIntervalAsPercent(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getEffectiveNumberOfIntervals(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getEffectiveRightInterval(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getEffectiveRightIntervalAsPercent(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getEigenValues() - Method in interface biz.sc.mm.transformation.parameters.PCAParameters

getEigenVectors() - Method in interface biz.sc.mm.transformation.parameters.PCAParameters

getEnd() - Method in interface biz.sc.mm.dm.data.DateInterval

Gets end of this interval.

getEnd() - Method in interface biz.sc.mm.dm.data.DoubleInterval

Gets end of this interval.

getEndLearningRate() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Gets ending learning rate.

getEndNeighbourhoodRate() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Gets ending neighbourhood rate.

getEndTime() - Method in interface biz.sc.mm.dm.base.Trigger

Get the time at which the Trigger should quit repeating - even if an assigned 'repeatCount' isn't yet satisfied.

getEntries() - Method in class biz.sc.mm.dm.data.AttribMapping

getEnum() - Method in class biz.sc.mm.dm.Enum

Gets name of this enumeration.

getEnumClasses(String) - Method in interface biz.sc.mm.dm.EnumClassesProvider

Gets enumerations for given property.

getEnumClasses(String) - Method in class biz.sc.mm.dm.modelstats.statistical.regression.linear.LinearInfluenceDiagnostic

getEnumClasses(String) - Method in class biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticInfluenceDiagnostic

getEpsilonTolerance() - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

getErrorFunction() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Gets type of error function.

getErrorHistogram() - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationTestResult

Returns a calculated approximation error histogram.

getEstimationMethod() - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Gets the logistic regression model estimation method (Newton-likelihood or Fisher-Score).

getEstimator() - Method in interface biz.sc.util.Estimator2DData

getETSBasicMetrics() - Method in interface biz.sc.mm.dm.modelstats.ets.ETSModelStatistics

Gets basic metrics of ets model statistics

getETSCalculatorSettings() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Gest ets calculator settings

getETSPlots() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSInternalModel

Gets ETS2DData object containing ets model charts from ets model series decomposition

getEvaluationNames() - Method in class biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluationRanking

getEvaluationValue() - Method in interface biz.sc.mm.dm.modelstats.tree.NumericalSplitStats

Returns split evaluation value in the same format as in NumericalSplitStats.getCounts(Object).

getEvaluator(RegressionSplitEvaluation) - Static method in class biz.sc.mm.dm.algorithm.tree.regression.RegressionSplitEvaluation

getExactLimitedDiscrete() - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

Returns whether for case of exceeded attributes the exact statistics were computed;

getExactLimitedDiscrete() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getExclusionMap(String) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Gets the map of exclusion groups for a given variable.

getExecuteInitTests() - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Gets initial test execution switch value.

getExecutionTime() - Method in interface biz.sc.mm.dm.algorithm.abm.Module

getExpected(Object, Object) - Method in interface biz.sc.mm.dm.statistics.CramersVCorrelation

getExpectedNumberOfActiveAttributesInResults() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

getExpertPoints() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardCategory

getExternalSignature() - Method in interface biz.sc.mm.dm.base.MiningModel

Deprecated.

use getSignature()

getF() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModelStatistics

Returns F enumerator of the model.

getF1Score() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getFalseNegative() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getFalseNegativeCost() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getFalseNegativeProfit() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getFalsePositive() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getFalsePositiveCost() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getFalsePositiveFraction(int) - Method in interface biz.sc.mm.dm.supervised.classification.KSAnalysis

Gets the fraction of incorrectly predicted positive observations in a specified quantile.

getFalsePositiveProfit() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getFalsePositiveRate(Object) - Method in interface biz.sc.mm.dm.supervised.classification.TargetAnalysis

Returns false positive rate value for specified category

getFastMatrixUpdate() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedLogisticRegressionSettings

getFeatureEvaluatorSettings() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

getFeatureEvaluatorsSettings() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

getFeatureSelectionScore() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getFeatureSelectionSettingsName() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

METHODS ***

getFilter() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterSettings

getFilter() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

getFirstAttribute() - Method in interface biz.sc.mm.dm.statistics.CramersVCorrelation

getFirstAttributeName() - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionInfo

getFirstSubtreeIndex() - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionInfo

getFirstTimePoint() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalApplyOutput

Gets the lower bound of the time scale interval in which survival function values are calculated.

getFirstTimePoint() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestTask

Gets the lower bound of the time scale interval in which survival function values are calculated.

getForceMaxIterations() - Method in interface biz.sc.mm.dm.algorithm.kmean.KMeansSettings

Gets forceMaxIterations proprty value

getForceRecalculate() - Method in interface biz.sc.mm.dm.algorithm.abm.Module

getForecastedVariance(double[], double[]) - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesModel

getFunction() - Method in interface biz.sc.mm.dm.algorithm.likelihood.optimization.Optimization

Gets the underlying likelihood function.

getFunctionSettings() - Method in interface biz.sc.mm.dm.base.MiningModel

Gets function settings used to build this model.

getFunctionSettingsName() - Method in interface biz.sc.mm.dm.task.MiningBuildTask

Gets the name of the function settings that will be used to build model.

getFunctionTolerance() - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

Gets function tolerance for nonlinear optimization method.

getGeneratedLength() - Method in interface biz.sc.mm.dm.modelstats.mcmc.MCMCStatistics

Gets the length of the generated chains.

getGiniCoefficient() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getGiniCoefficient() - Method in interface biz.sc.mm.dm.supervised.classification.ROCAnalysis

Gets Gini coefficient.

getGiniHistogramPerIteration() - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

getGradientTolerance() - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

Gets gradient tolerance for nonlinear optimization method.

getGradientVector() - Method in interface biz.sc.mm.dm.supervised.statistical.LikelihoodFunction

Gets the gradient (vector of the first order partial log-likelihood derivatives).

getGroup() - Method in interface biz.sc.mm.dm.data.AttributeUsage

Gets the group identyfier for this attribute.

getGroupMode() - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Gets the status of grouped variable selection mode.

getGroupStatistics() - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the group statistics for the given model.

getGroupStatistics() - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Gets group statistics switch value.

getGroupUsage(int) - Method in interface biz.sc.mm.dm.supervised.statistical.InputDataInfo

Gets the group of variables usage info.

getH(double[], double) - Method in interface biz.sc.mm.dm.supervised.survival.ParametricSurvivalModel

Gets the cumulative hazard for given observation at time t.

geth(double[], double) - Method in interface biz.sc.mm.dm.supervised.survival.ParametricSurvivalModel

Gets the hazard value for given observation at time t.

getH0(double) - Method in interface biz.sc.mm.dm.supervised.survival.NonparametricSurvivalModel

Gets the baseline cumulative hazard function value at time t.

geth0(double) - Method in interface biz.sc.mm.dm.supervised.survival.NonparametricSurvivalModel

Gets the baseline hazard function value at time t.

getH0ConfidenceInterval(double) - Method in interface biz.sc.mm.dm.supervised.survival.ExtendedSurvivalModel

Gets the confidence interval radius for baseline cumulative hazard function at time t.

geth0ConfidenceInterval(double) - Method in interface biz.sc.mm.dm.supervised.survival.ExtendedSurvivalModel

Gets the confidence interval radius for baseline hazard function at time t.

geth0Plot() - Method in interface biz.sc.mm.dm.supervised.survival.NonparametricSurvivalModel

Gets the baseline hazard function data, required for plotting h0 function.

getH0StdErr(double) - Method in interface biz.sc.mm.dm.supervised.survival.ExtendedSurvivalModel

Gets the standard error estimator for baseline cumulative hazard function at time t.

geth0StdErr(double) - Method in interface biz.sc.mm.dm.supervised.survival.ExtendedSurvivalModel

Gets the standard error estimator for baseline hazard function at time t.

getHeaders() - Method in interface biz.sc.mm.dm.algorithm.socialnets.prop.AttributeProperty

getHeight() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Gets map height.

getHeight() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Gets map height (rows count).

getHingeTransformations() - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

getHingeTransformations() - Method in interface biz.sc.mm.transformation.parameters.MARSParameters

getHistogram() - Method in interface biz.sc.mm.dm.algorithm.abm.CrossvalidationGini

getHistogramResolution() - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingAlgorithmSettings

Get the number of "buckets" in the histogram plot.

getHomogenousDensity() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

The smallest density of any target in node to justify changing it into leaf.

getHosmerLemeshowGroups() - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Gets the number of Hosmer-Lemeshov test groups.

getId() - Method in class biz.sc.mm.dm.data.DatabaseAlias

Returns alias ID.

getID() - Method in class biz.sc.mm.dm.Enum

Gets id of this enumeration.

getId() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Cell

Gets cell id.

getId() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Segment

Gets segment id.

getId() - Method in class biz.sc.mm.dm.scoringcode.ScoringCodeType

getIfSpline() - Method in interface biz.sc.mm.dm.algorithm.gam.GAMModel

getIfSpline() - Method in interface biz.sc.mm.transformation.parameters.GAMParameters

getIgnoreNullsInGroup() - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingAlgorithmSettings

Get the flag indicating whether we treat nulls in grouping column as a separate group or discard them.

getImportanceMeasure() - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesSettings

getImportanceStatisticsPValue(double, int) - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalModel

Returns p-value for the default importance statistics (e.g. chi^2 or f-test) with a given degrees of freedom.

getImproperlyAssignedCases() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationTestResult

Gets the number of cases whose prediction is not equal to the actual target value.

getIn() - Method in interface biz.sc.mm.dm.algorithm.abm.Module

getIndexUsingConvertions(Object) - Method in interface biz.sc.mm.dm.data.CategorySet

Behaves like indexOf() but also converts categoryValue type (for example 1 -> Integer.toString(1)).

getIndicatedValue() - Method in interface biz.sc.mm.dm.algorithm.abm.IndicatorTransformation

getIndicatedValue() - Method in interface biz.sc.mm.dm.algorithm.abm.IndicatorTransformationResult

getIndicatorTransformation() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

getIndicatorTransformationChosen() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getIndicatorTransformationPreferred() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getInfCrit() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

getInfluenceDiagnostics() - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Gets influence diagnostics switch value.

getInfluenceDiagnosticValues(InfluenceDiagnostic) - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the values of an influence diagnostic for the respective observations in training data.

getInfo() - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

getInformationCriterion() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

getInformationGain() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getInitializationProperties() - Method in interface biz.sc.mm.dm.algorithm.kmean.KMeansSettings

Sets random initialization seed.

getInputAttributeName() - Method in interface biz.sc.mm.dm.data.SignatureAssignment

Gets the name of attribute in input data.

getInputDataIdentifier() - Method in interface biz.sc.mm.dm.base.ModelStatisticsResult

Get physical data id of data for which statistics are counted.

getInputModelName() - Method in interface biz.sc.mm.dm.task.MiningBuildTask

Gets the name of the input model.

getInputModelName() - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

Gets input model name.

getInputPhysicalDataName() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

getInputPhysicalDataName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaTask

getInputTransformationName() - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

Gets input transformation name.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.ABMAttributeType

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.ABMAttributeType

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.ABMAttributeUsage

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.ABMAttributeUsage

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.ApproximationModelQualityMeasure

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.ApproximationModelQualityMeasure

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasure

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasure

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.ClassificationThresholdType

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.ClassificationThresholdType

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.CrossValidationType

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.CrossValidationType

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.DependencySearchMode

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.DependencySearchMode

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesSelector

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesSelector

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesType

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesType

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.InteractionSignificanceType

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.InteractionSignificanceType

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.ProcessType

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.ProcessType

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.SamplingMode

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.SamplingMode

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.StratificationMode

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.StratificationMode

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.TableRole

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.TableRole

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.TimePeriod

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.TimePeriod

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.abm.TimeSeriesModelQualityMeasure

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.abm.TimeSeriesModelQualityMeasure

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.bivariate.BivariateLikelihoodFunctionType

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.bivariate.BivariateLikelihoodFunctionType

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.discriminant.CovarianceMatrixMode

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.discriminant.CovarianceMatrixMode

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.ensembles.AggregationType

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.ensembles.AggregationType

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.featureselection.InformationGainFilterStatistic

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.featureselection.InteractionsUsageOption

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.featureselection.InteractionsUsageOption

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.featureselection.StatTest

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.featureselection.StatTest

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardErrorFunctionType

Gets enumeration of error function with given name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardErrorFunctionType

Gets enumaration of error function with given id.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardLearningAlgorithmType

Gets enumeration of learning algorithm with given name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardLearningAlgorithmType

Gets enumaration of learning algorithm with given id.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.NeuronActivationFunctionType

Gets enumeration of neuron activation function with given name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.NeuronActivationFunctionType

Gets enumaration of neuron activation function with given id.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.kmean.KMeansInitializationPropertiesType

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.kmean.KMeansInitializationPropertiesType

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.kohonen.ClassificationLearningAlgorithmType

Gets learning algorithm type instance by its name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.kohonen.ClassificationLearningAlgorithmType

Gets learning algorithm type instance by its id.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.kohonen.ClusteringDistanceFunction

Gets distance function instance by its name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.kohonen.ClusteringDistanceFunction

Gets distance function instance by its id.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.kohonen.ClusteringLearningAlgorithmType

Gets learning algorithm type instance by its name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.kohonen.ClusteringLearningAlgorithmType

Gets learning algorithm type instance by its id.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.kohonen.KohonenMiningType

Gets mining type instance by its name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.kohonen.KohonenMiningType

Gets mining type instance by its id.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.kohonen.LearningAlgorithmType

Gets learning algorithm type instance by its name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.kohonen.LearningAlgorithmType

Gets learning algorithm type instance by its id.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.kohonen.ModificationFunction

Gets modification function type instance by its name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.kohonen.ModificationFunction

Gets modification function type instance by its id.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.kohonen.SearchType

Gets searching type instance by its name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.kohonen.SearchType

Gets searching type instance by its id.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.mcmc.DegeneratedAttributesProcessingMethod

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.mcmc.DegeneratedAttributesProcessingMethod

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.mcmc.ParameterUpdateMethod

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.mcmc.ParameterUpdateMethod

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.naivebayes.ImportanceMeasure

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.naivebayes.ImportanceMeasure

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionOutputType

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionOutputType

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.LinkFunctionType

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.LinkFunctionType

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticEstimationMethod

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticEstimationMethod

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputType

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputType

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.MulticategoryModelType

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.MulticategoryModelType

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.regression.RegressionMethod

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.regression.RegressionMethod

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.regression.weighted.WeightType

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.regression.weighted.WeightType

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.regularizedregression.InformationCriterion

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.regularizedregression.InformationCriterion

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionPenalty

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionPenalty

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.socialnets.alg.NullHandling

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.socialnets.alg.NullHandling

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.socialnets.SnaAttributeUsage

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.survival.cox.ResidualType

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.survival.cox.ResidualType

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.survival.cox.TieHandlingMethod

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.survival.cox.TieHandlingMethod

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.survival.nonparametric.NonparametricSurvivalEstimator

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.survival.nonparametric.NonparametricSurvivalEstimator

Returns enumeration element corresponding to the specified identifier.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.tree.classification.AggregatingMethod

Returns an instance of PrunningStat corresponding to the specified ID.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.tree.classification.AggregatingMethod

Returns an instance of PrunningStat corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.tree.classification.PrunningStat

Returns an instance of PrunningStat corresponding to the specified ID.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.tree.classification.PrunningStat

Returns an instance of PrunningStat corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.tree.classification.SplitEvaluation

Returns an instance of SplitEvaluation corresponding to the specified ID.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.tree.classification.SplitEvaluation

Returns an instance of SplitEvaluation corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.tree.nulls.NullStrategyEnum

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.tree.nulls.NullStrategyEnum

getInstance(int) - Static method in class biz.sc.mm.dm.algorithm.tree.regression.RegressionSplitEvaluation

Returns an instance of RegressionSplitEvaluation corresponding to the specified ID.

getInstance(String) - Static method in class biz.sc.mm.dm.algorithm.tree.regression.RegressionSplitEvaluation

Returns an instance of RegressionSplitEvaluation corresponding to the specified name.

getInstance(String) - Static method in class biz.sc.mm.dm.base.TriggerFrequencyType

getInstance(int) - Static method in class biz.sc.mm.dm.base.TriggerFrequencyType

getInstance(String) - Static method in class biz.sc.mm.dm.clustering.ClusteringOutputType

getInstance(int) - Static method in class biz.sc.mm.dm.clustering.ClusteringOutputType

getInstance(int) - Static method in class biz.sc.mm.dm.data.AttributeDataType

Returns an instance of AttributeDataType corresponding to the specified ID.

getInstance(String) - Static method in class biz.sc.mm.dm.data.AttributeDataType

Returns an instance of AttributeDataType corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.data.AttributeType

Returns an instance of AttributeType corresponding to the specified ID.

getInstance(String) - Static method in class biz.sc.mm.dm.data.AttributeType

Returns an instance of AttributeType corresponding to the specified name.

getInstance() - Static method in class biz.sc.mm.dm.data.DatabaseAliasFactory

getInstance(String, Class) - Static method in class biz.sc.mm.dm.Enum

Gets enumaration of given class with given name.

getInstance(String) - Static method in class biz.sc.mm.dm.modelstats.kohonen.CellType

Gets cell type instance by its name.

getInstance(int) - Static method in class biz.sc.mm.dm.modelstats.kohonen.CellType

Gets cell type instance by its id.

getInstance(String) - Static method in class biz.sc.mm.dm.modelstats.statistical.ModelStatistic

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.modelstats.statistical.ModelStatistic

Returns enumeration element corresponding to the specified identifier.

getInstance(int) - Static method in class biz.sc.mm.dm.modelstats.statistical.regression.linear.LinearInfluenceDiagnostic

Returns an instance of SortOrder corresponding to the specified ID.

getInstance(String) - Static method in class biz.sc.mm.dm.modelstats.statistical.regression.linear.LinearInfluenceDiagnostic

Returns an instance of SortOrder corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticInfluenceDiagnostic

Returns an instance of SortOrder corresponding to the specified ID.

getInstance(String) - Static method in class biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticInfluenceDiagnostic

Returns an instance of SortOrder corresponding to the specified name.

getInstance(String) - Static method in class biz.sc.mm.dm.modelstats.statistical.VariableStatistic

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.modelstats.statistical.VariableStatistic

Returns enumeration element corresponding to the specified identifier.

getInstance(int) - Static method in class biz.sc.mm.dm.modelstats.tree.BooleanOperator

Returns an instance of BooleanOperator corresponding to the specified ID.

getInstance(String) - Static method in class biz.sc.mm.dm.modelstats.tree.BooleanOperator

Returns an instance of BooleanOperator corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.modelstats.tree.ComparisonOperator

getInstance(String) - Static method in class biz.sc.mm.dm.modelstats.tree.ComparisonOperator

getInstance(String) - Static method in class biz.sc.mm.dm.scoringcard.ScalingMethod

getInstance(int) - Static method in class biz.sc.mm.dm.scoringcard.ScalingMethod

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.scoringcard.ScoringCardCategoryType

Returns the replace missing type object for given name or null if incorrect name.

getInstance(int) - Static method in class biz.sc.mm.dm.scoringcard.ScoringCardCategoryType

Returns the binarize type object for given id or null if incorrect id.

getInstance(String) - Static method in class biz.sc.mm.dm.scoringcode.ScoringCodeType

Returns the ScoringCode type object for given name.

getInstance(int) - Static method in class biz.sc.mm.dm.scoringcode.ScoringCodeType

Returns the scoring code type object for given id.

getInstance(String) - Static method in class biz.sc.mm.dm.SortOrder

Returns an instance of SortOrder corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.SortOrder

Returns an instance of SortOrder corresponding to the specified ID.

getInstance(int) - Static method in class biz.sc.mm.dm.supervised.approximation.ApproximationOutputType

Returns an instance of SortOrder corresponding to the specified ID.

getInstance(String) - Static method in class biz.sc.mm.dm.supervised.approximation.ApproximationOutputType

Returns an instance of SortOrder corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.supervised.classification.ClassificationOutputType

Returns an instance of ClassificationOutputType corresponding to the specified ID.

getInstance(String) - Static method in class biz.sc.mm.dm.supervised.classification.ClassificationOutputType

Returns an instance of ClassificationOutputType corresponding to the specified name.

getInstance(String) - Static method in class biz.sc.mm.dm.supervised.classification.ReweightingMode

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.supervised.classification.ReweightingMode

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.supervised.statistical.AuxiliaryLiftEstimationMode

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.supervised.statistical.AuxiliaryLiftEstimationMode

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.supervised.statistical.AuxiliaryStatisticsMode

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.supervised.statistical.AuxiliaryStatisticsMode

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.supervised.statistical.classification.bivariate.BivariateUsageOption

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.supervised.statistical.classification.bivariate.BivariateUsageOption

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.supervised.statistical.ConvergenceCriterion

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.supervised.statistical.ConvergenceCriterion

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.supervised.statistical.NonlinearOptimizationMethod

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.supervised.statistical.NonlinearOptimizationMethod

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.supervised.statistical.survival.SurvivalUsageOption

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.supervised.statistical.survival.SurvivalUsageOption

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.supervised.statistical.TargetCategoriesOrder

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.supervised.statistical.TargetCategoriesOrder

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.supervised.statistical.timeseries.TimeSeriesUsageOption

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.supervised.statistical.timeseries.TimeSeriesUsageOption

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.supervised.statistical.VariableSelectionMethod

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.supervised.statistical.VariableSelectionMethod

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.supervised.statistical.VariableSignificanceMode

Returns enumeration element corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.supervised.statistical.VariableSignificanceMode

Returns enumeration element corresponding to the specified identifier.

getInstance(String) - Static method in class biz.sc.mm.dm.TestMessageType

Returns an instance of ReportType corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.TestMessageType

Returns an instance of ReportType corresponding to the specified ID.

getInstance(String) - Static method in class biz.sc.mm.dm.UsageOption

Returns an instance of UsageOption corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.dm.UsageOption

Returns an instance of UsageOption corresponding to the specified ID.

getInstance(int) - Static method in class biz.sc.mm.transformation.settings.BinarizedValues

Returns an instance of BinarizedValues corresponding to the specified ID.

getInstance(String) - Static method in class biz.sc.mm.transformation.settings.BinarizedValues

Returns an instance of BinarizedValues corresponding to the specified name.

getInstance(String) - Static method in class biz.sc.mm.transformation.settings.DiscretizeType

getInstance(int) - Static method in class biz.sc.mm.transformation.settings.DiscretizeType

getInstance(String) - Static method in class biz.sc.mm.transformation.settings.NormType

getInstance(int) - Static method in class biz.sc.mm.transformation.settings.NormType

getInstance(String) - Static method in class biz.sc.mm.transformation.settings.PCACriterion

Returns the criterion type object for given name or null if incorrect name.

getInstance(int) - Static method in class biz.sc.mm.transformation.settings.PCACriterion

Returns the criterion object for given id or null if incorrect id.

getInstance(String) - Static method in class biz.sc.mm.transformation.settings.RedundantType

Returns the redundant type object for given name or null if incorrect name.

getInstance(int) - Static method in class biz.sc.mm.transformation.settings.RedundantType

Returns the redundant type object for given id or null if incorrect id.

getInstance(String) - Static method in class biz.sc.mm.transformation.settings.ReplaceMissingType

Returns the replace missing type object for given name or null if incorrect name.

getInstance(int) - Static method in class biz.sc.mm.transformation.settings.ReplaceMissingType

Returns the replace missing type object for given id or null if incorrect id.

getInstance(String) - Static method in class biz.sc.mm.transformation.TransformationLanguage

Returns an instance of TransformationLanguage corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.transformation.TransformationLanguage

Returns an instance of TransformationLanguage corresponding to the specified id.

getInstance(String) - Static method in class biz.sc.mm.transformation.TransformationType

getInstance(int) - Static method in class biz.sc.mm.transformation.TransformationType

getInstance(String) - Static method in class biz.sc.mm.transformation.TransformationUsageOption

Returns an instance of TransformationUsageOption corresponding to the specified name.

getInstance(int) - Static method in class biz.sc.mm.transformation.TransformationUsageOption

Returns an instance of TransformationUsageOption corresponding to the specified id.

getInteractions() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getInteractionsAlgorithmSettings() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

getInteractionsAlgorithmSettings() - Method in interface biz.sc.mm.dm.algorithm.abm.Interactions

getInteractionSignificanceType() - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionsTreeSettings

getIntercept() - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Gets intercept switch value.

getInternalFunctionSettings() - Method in interface biz.sc.mm.dm.base.MiningModel

Gets internal function settings used to build this model.

getInternalFunctionSettings() - Method in interface biz.sc.mm.dm.supervised.statistical.InputDataInfo

Returns current function settings.

getInternalModels() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSModel

Gets list of internal models

getInternalSignature() - Method in interface biz.sc.mm.dm.base.MiningModel

Gets internal signature of this model.

getInterQuantileRange() - Method in interface biz.sc.mm.dm.statistics.NumericalStatistics

Deprecated.

getIntervals() - Method in interface biz.sc.mm.dm.algorithm.abm.CrossvalidationGini

getIntervals() - Method in interface biz.sc.mm.dm.algorithm.gam.SplineModel

getIntervals(String) - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesModel

getIntervals() - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

Returns an array of all intervals for which statistics were computed.

getIntervals(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getIntervals() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getIntervals() - Method in interface biz.sc.mm.transformation.parameters.SplineParameters

getItem() - Method in interface biz.sc.mm.dm.task.MiningApplyOutput

Returns the list of output items.

getItems() - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleModel

getItems() - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeSignature

Items (ScoringCodeSignatureItem) describes model input or output attributes

getIterate() - Method in interface biz.sc.mm.dm.algorithm.abm.BuildModel

getIterCount() - Method in interface biz.sc.mm.dm.modelstats.kmean.KMeansModelStatistics

Gets iformation about number of iterations made by algorithm before convergence, or before reaching maxIterationCount criterion.

getIterMax() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

getIterMax() - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

Gets maximum number of iterations for nonlinear optimization method.

getJavaType() - Method in class biz.sc.mm.dm.data.AttributeDataType

getKeyDisplayName(Object) - Method in interface biz.sc.mm.dm.data.AttributeSet

Gets diplay name for given key.

getKeys() - Method in interface biz.sc.mm.dm.data.AttributeSet

User can define custom keys, and use them for storing some additional values in AttirbuteUsages.

getKSAnalysis() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationTestResult

Gets analysis for KS.

getKSStatistics() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getKSStatistics() - Method in interface biz.sc.mm.dm.supervised.classification.KSAnalysis

Gets the maximal distance between the True Positive Rate and False Positive Rate.

getKSStatisticsScoreThreshold() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getKSStatisticsScoreThreshold() - Method in interface biz.sc.mm.dm.supervised.classification.KSAnalysis

Gets the score threshold yielding maximal distance.

getKurtosis() - Method in interface biz.sc.mm.dm.statistics.NumericalStatistics

getLabel(int) - Static method in class biz.sc.mm.dm.data.SQLUtils

getLabel(int) - Method in interface biz.sc.mm.dm.modelstats.tree.Split

Gets the split label for i'th child.

getLabelX() - Method in interface biz.sc.util.Simple2DData

label for X axe

getLabelY() - Method in interface biz.sc.util.Simple2DData

label for Y axe

getLambda() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

getLastTimePoint() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalApplyOutput

Gets the upper bound of the time scale interval in which survival function values are calculated.

getLastTimePoint() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestTask

Gets the upper bound of the time scale interval in which survival function values are calculated.

getLeafClusters() - Method in interface biz.sc.mm.dm.clustering.ClusteringModel

Returns collection of leaf clusters.

getLeafIds() - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

Returns all ids that are used by the tree leaves.

getLearningAlgorithm() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Gets neural learning alorithm.

getLearningAlgorithm() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenClassificationSettings

Gets classification learning algorithm.

getLearningAlgorithm() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenClusteringSettings

Gets clustering learning algorithm.

getLearningHistory() - Method in interface biz.sc.mm.dm.base.MiningModel

Gets statistics of learning process.

getLearningRate() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.Backpropagation

Gets value of learnig rate.

getLearningRate() - Method in interface biz.sc.mm.dm.algorithm.mars.LogisticMARSSettings

getLeaves() - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

Returns number of all leaves in the tree.

getLeftClosure() - Method in interface biz.sc.mm.dm.data.Interval

Gets left closure.

getLeftInterval(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getLeftInterval() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getLeftIntervalAsPercent(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getLeftIntervalAsPercent() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getLevel() - Method in interface biz.sc.mm.dm.clustering.Cluster

Returns the level in the clustering tree associated with the Cluster object.

getLevel() - Method in interface biz.sc.util.ETS2DData

Gets level chart of ets model series decomposition

getLevelsCount() - Method in interface biz.sc.mm.dm.clustering.ClusteringModel

Returns number of levels.

getLift() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getLiftAnalysis() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationTestResult

Gets analysis for lift.

getLiftCoordinates() - Method in class biz.sc.util.LiftCoordinates

getLiftQuantiles() - Method in interface biz.sc.mm.dm.algorithm.mars.LogisticMARSSettings

getLiftResult(Double) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestResult

Gets the lift result for the specified time point.

getLiftResults() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestResult

Gets the collection of all lift results (LiftAnalysis objects).

getLiftReweightingMode() - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Returns the observation reweighting mode.

getLikelihoodFunction() - Method in interface biz.sc.mm.dm.modelstats.statistical.LikelihoodModelStatistics

Likelihood function for a given model.

getLikelihoodFunction() - Method in interface biz.sc.mm.dm.supervised.statistical.LikelihoodModel

Gets the underlying likelihood function for a model.

getLikelihoodFunctionType() - Method in interface biz.sc.mm.dm.algorithm.bivariate.BivariateProbitSettings

Gets underlying log-likelihood function (e.g.full or censored).

getLinearCoefficient() - Method in interface biz.sc.mm.dm.algorithm.discriminant.BinaryDiscriminantAnalysisModel

Gets linear coefficient of discriminant analysis model.

getLink(double) - Method in interface biz.sc.mm.dm.supervised.statistical.GLMLikelihoodFunction

Gets the value of the link function.

getLinkFunctionType() - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Gets the link function type (e.g.logit or probit).

getLinkInverse(double) - Method in interface biz.sc.mm.dm.supervised.statistical.GLMLikelihoodFunction

Gets the value of the inverse of the link function.

getLog() - Method in interface biz.sc.mm.dm.supervised.statistical.LikelihoodFunction

Gets log-likelihood value for the present parameters estimator.

getLog1stDeriv(String) - Method in interface biz.sc.mm.dm.supervised.statistical.LikelihoodFunction

Gets log-likelihood first order partial derivative value for the present parameters estimator.

getLog2ndDeriv(String, String) - Method in interface biz.sc.mm.dm.supervised.statistical.LikelihoodFunction

Gets log-likelihood second order partial derivative value for the present parameters estimator.

getLogAlpha(int) - Method in interface biz.sc.mm.dm.supervised.survival.ParametricSurvivalModel

getLogicalAttributes(Enum) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

getLogicalAttributes(Enum) - Method in interface biz.sc.mm.dm.base.MiningFunctionSettings

Gets all attributes in this function settings with given usage type.

getLogicalData() - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Returns a logical data object.

getLogicalData() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

getLogicalData() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettings

getLogicalData() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildSettings

getLogicalData() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterSettings

getLogicalData() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaSettings

getLogicalData() - Method in interface biz.sc.mm.dm.base.MiningFunctionSettings

Gets logical data used by this function settings.

getLogicalData() - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

Returns the logical data object.

getLogicalDataName() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettings

getLogInformationGain() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getLogisticEstimationMethod() - Method in interface biz.sc.mm.dm.algorithm.bivariate.BivariateProbitSettings

Gets the algorithm for estimation of the initial logistic regression models

getLogisticPreselection() - Method in interface biz.sc.mm.dm.algorithm.bivariate.BivariateProbitSettings

Gets logistic model preselection switch value.

getLogTransformationPreferred() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getLower(String) - Method in interface biz.sc.mm.dm.algorithm.abm.OutliersResult

getLowerConfidenceLimit() - Method in interface biz.sc.util.Estimator2DData

getLowerOutlier() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getLowerValue(String) - Method in interface biz.sc.mm.transformation.parameters.OutlierParameters

getM() - Method in interface biz.sc.mm.dm.supervised.survival.ParametricSurvivalModel

Gets number of time points Used in script to generate scoring code

getMAE() - Method in interface biz.sc.mm.dm.algorithm.abm.ApproximationModelQualityMeasures

getMAE() - Method in interface biz.sc.mm.dm.algorithm.abm.TimeSeriesModelQualityMeasures

getMAE() - Method in interface biz.sc.mm.dm.modelstats.gam.LinearGAMModelStatistics

getMAE() - Method in interface biz.sc.mm.dm.modelstats.mars.LinearMARSModelStatistics

getMap() - Method in interface biz.sc.mm.dm.modelstats.kohonen.KohonenModelStatistics

Gets detailed map, i.e. a special object which allows to make operatations on Kohonen map.

getMAPE() - Method in interface biz.sc.mm.dm.algorithm.abm.ApproximationModelQualityMeasures

getMapping() - Method in interface biz.sc.mm.dm.scoringcard.DataCardMapping

getMapping(MapItem) - Method in interface biz.sc.mm.dm.scoringcard.ModelToCardMap

getMappingEntryForDestination(String) - Method in class biz.sc.mm.dm.data.AttribMapping

Null for mapping = NONE

getMappingEntryForSource(String) - Method in class biz.sc.mm.dm.data.AttribMapping

getMarkovChain() - Method in interface biz.sc.mm.dm.modelstats.mcmc.MCMCStatistics

Gets the array of all Markov chains.

getMarkovChainInit() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getMatchingAlgorithmSettings() - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Return the matching algorithm settings.

getMatchingAlgorithmSettings() - Method in interface biz.sc.mm.dm.algorithm.deduplication.WeightedMatchingFunctionSettings

Return the matching algorithm settings.

getMatchingFunctionSettingsName() - Method in interface biz.sc.mm.dm.algorithm.deduplication.MatchingTask

Returns the name of the Matching Function Settings object set for the given task.

getMatchingGroupsPairs() - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingAlgorithmSettings

Get all the pairs of groups that are going to be compared in the GroupBetween matching

getMatrixCategories() - Method in interface biz.sc.mm.dm.data.CategoryMatrix

Returns collection of categories, which will be used as row and column headers in the matrix.

getMax() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getMax() - Method in interface biz.sc.mm.dm.modelstats.kmean.Coordinate

Returns maximum value.

getMax(String) - Method in interface biz.sc.mm.transformation.parameters.RescaleParameters

getMaxAccuracyScore() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getMaxAttValue() - Method in interface biz.sc.mm.dm.modelstats.tree.NumericalSplitStats

Maximum split attribute value and right limit for the histogram

getMaxAverageRankOfAttributeInResults() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

getMaxCalculated() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getMaxChainLength() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getMaxDiscreteCount() - Method in interface biz.sc.mm.dm.algorithm.abm.DataExplorer

getMaxDiscreteCount() - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

getMaxDiscreteValues() - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

Determines the maximum number of categorical attribute values that can be generated in output scoring code.

getMaxEdgesCount() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

getMaxFunEvaluations() - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

getMaximalScore() - Method in interface biz.sc.mm.dm.supervised.classification.PlotAnalysis

Returns maximal score value among all observations in data.

getMaximumOutputSize() - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Returns the maximum output size in terms of the input size (in percents).

getMaximumValue() - Method in interface biz.sc.mm.dm.statistics.NumericalStatistics

Returns the maximum value of the attribute.

getMaxInAttributes() - Method in interface biz.sc.mm.dm.algorithm.abm.Interactions

getMaxIndicatedValueRatio() - Method in interface biz.sc.mm.dm.algorithm.abm.IndicatorTransformation

getMaxIterationsCount() - Method in interface biz.sc.mm.dm.algorithm.kmean.KMeansSettings

Gets max iterations count

getMaxIterationsNumber() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Gets maximum value of steps number during model fitting procedure

getMaxIterationsReg() - Method in interface biz.sc.mm.dm.algorithm.mars.LogisticMARSSettings

getMaxModelSize() - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Gets the maximal model size (the number of variables in model).

getMaxNodeRank() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Maximum number of children for each node.

getMaxNulls() - Method in interface biz.sc.mm.dm.algorithm.abm.DataExplorer

getMaxNumberOfAddedAttributesGWASelection() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

getMaxNumberOfBestPredicates() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

getMaxNumberOfIterations() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Gets maximal number of algorithm iterations.

getMaxNumberOfIterations() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Returns the maximum number of iterations to be used in training the network.

getMaxNumberOfPoints() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardBuilderSettings

getMaxOutAttributes() - Method in interface biz.sc.mm.dm.algorithm.abm.Interactions

getMaxProfitScore() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getMaxScore() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getMaxScore() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardData

Gets the maximal posible score.

getMaxSize() - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

getMaxTimepoint() - Method in interface biz.sc.mm.dm.algorithm.abm.DataSource

getMaxTreeDepth() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Maximum depth of the tree. 0 means no height limit.

getMaxValuesCount() - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

Returns maximum allowed count of values.

getMaxValuesCount() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Returns maximum values count for discrete attributes.

getMaxValuesCount() - Method in interface biz.sc.mm.dm.task.MiningBuildTask

getMaxValuesCountExceeded() - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

Returns whether maximum allowed count of values was exceeded.

getMCMCStatistics() - Method in interface biz.sc.mm.dm.modelstats.mcmc.logistic.MCMCLogisticRegressionModelStatistics

Gets the specific MCMC-related statistics.

getMean() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getMean() - Method in interface biz.sc.mm.dm.algorithm.abm.CrossvalidationGini

getMean() - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

getMean() - Method in interface biz.sc.mm.dm.modelstats.tree.regression.RegressionNode

getMean(String) - Method in interface biz.sc.mm.transformation.parameters.PCAParameters

getMean(String) - Method in interface biz.sc.mm.transformation.parameters.ReplaceMissingParameters

getMean(String) - Method in interface biz.sc.mm.transformation.parameters.StandardizeParameters

getMeanAbsoluteError() - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationTestResult

Returns the value of attribute meanAbsoluteError.

getMeanAbsoluteError() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesTestResult

Returns the value of attribute meanAbsoluteError.

getMeanActualValue() - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationTestResult

Returns the value of attribute meanActualValue.

getMeanActualValue() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesTestResult

Returns the value of attribute meanActualValue.

getMeanCalculated() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getMeanInInterval(Interval) - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

getMeanOfMeansCoefficient() - Method in interface biz.sc.mm.dm.algorithm.discriminant.BinaryDiscriminantAnalysisModel

Gets arithmetic mean of meansX and meansY vectors.

getMeanPredictedValue() - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationTestResult

Returns the value of attribute meanPredictedValue.

getMeanPredictedVariance() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesTestResult

Returns the value of attribute meanPredictedVariance.

getMeanValue() - Method in interface biz.sc.mm.dm.statistics.NumericalStatistics

Returns the mean value of the attribute.

getMedian(String) - Method in interface biz.sc.mm.transformation.parameters.ReplaceMissingParameters

getMedianValue() - Method in interface biz.sc.mm.dm.statistics.NumericalStatistics

Returns the median value of the attribute.

getMergedName() - Method in interface biz.sc.mm.transformation.parameters.GroupValuesParameters

getMessage() - Method in interface biz.sc.mm.dm.TestMessage

Gets the text of the this test message.

getMessages() - Method in interface biz.sc.mm.dm.TestReport

Gets array of all messages.

getMessageType() - Method in interface biz.sc.mm.dm.TestMessage

Gets type of this test message.

getMin() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getMin() - Method in interface biz.sc.mm.dm.modelstats.kmean.Coordinate

Returns minimum value.

getMin(String) - Method in interface biz.sc.mm.transformation.parameters.RescaleParameters

getMinAttValue() - Method in interface biz.sc.mm.dm.modelstats.tree.NumericalSplitStats

Minimum split attribute value and left limit for the histogram

getMinCalculated() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getMinCostScore() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getMinDelta() - Method in interface biz.sc.mm.dm.algorithm.mars.LogisticMARSSettings

getMinDistanceScore() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getMinDistinctValuesCount() - Method in interface biz.sc.mm.dm.algorithm.abm.IndicatorTransformation

getMinErrorTolerance() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Gets minimal error tolerance.

getMinErrorTolerance() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Returns the minimum acceptable error in modeling the training data.

getMinFractionOfLevelObservations() - Method in interface biz.sc.mm.dm.algorithm.abm.GroupValues

getMinimalScore() - Method in interface biz.sc.mm.dm.supervised.classification.PlotAnalysis

Returns minimal score value among all observations in data.

getMinimumValue() - Method in interface biz.sc.mm.dm.statistics.NumericalStatistics

Returns the minimum value of the attribute.

getMinimumWeight(String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Get the Minimum Weight from the AttributeUsageSet

getMinIndicatedValueRatio() - Method in interface biz.sc.mm.dm.algorithm.abm.IndicatorTransformation

getMinLeafSize() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

What is the minimum leaf size.

getMinLeafSizePrc() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

What is the minimum leaf size relatively to the whole data set size.

getMinNodeSize() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Minimum number of samples for a node.

getMinNodeSizePrc() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Minimal node size calculated as percent of the training set size.

getMinNodeVariabilityPrc() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

getMinScore() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getMinScore() - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelection

getMinScore() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardData

Gets the minimal posible score.

getMinScoreValueOfActiveAttributeInResults() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

getMinSplitEvaluationGain() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

The minimum gain in split evaluation value, to continue splitting a node.

getMissingValueRatio() - Method in interface biz.sc.mm.dm.algorithm.abm.UsageFinderSettings

getMissingValuesCount() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

Returns the number of missing values in the attribute.

getMissingValuesCountAsIs() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

getMissingValuesNo(int, SplitDistributionBase) - Method in interface biz.sc.mm.dm.algorithm.tree.nulls.NullStrategy

Returns the number of missing values assigned to the given subset.

getMissingValuesSupported() - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeModel

Gets information about missing values support

getMissingWeightCount() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

getModal() - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

Returns the modal value.

getModal(String) - Method in interface biz.sc.mm.transformation.parameters.ReplaceMissingParameters

getModalValueRatio() - Method in interface biz.sc.mm.dm.algorithm.abm.UsageFinderSettings

getMode() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getModeCalculated() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getModel() - Method in interface biz.sc.mm.dm.algorithm.abm.ModelResult

getModel(int) - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleModel

getModel() - Method in interface biz.sc.mm.dm.algorithm.ensembles.EnsembleItem

getModelAlpha() - Method in interface biz.sc.mm.dm.modelstats.gam.GAMModelStatistics

getModelAssignment() - Method in interface biz.sc.mm.dm.base.Task

Gets mapping of physical data to a model signature.

getModelEntryLevel() - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Gets the entry level (p-value) for variable insertion test.

getModelIdentifier() - Method in interface biz.sc.mm.dm.base.ModelStatisticsResult

Get id of the model for which statistics are counted.

getModelIdentifier() - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeModel

Gets the unique identifier of model used for generating this code.

getModelIdentifier() - Method in interface biz.sc.mm.dm.supervised.MiningTestResult

Gets the unique identifier of model used in this test task.

getModelItems(String) - Method in interface biz.sc.mm.dm.scoringcard.ModelToCardMap

getModelLambda() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionModel

getModelLambda() - Method in interface biz.sc.mm.dm.modelstats.regularizedregression.RegularizedRegressionModelStatistics

getModelLeaveLevel() - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Gets the leave level (p-value) for variable removal test.

getModelName() - Method in interface biz.sc.mm.dm.task.CommonTestTask

Gets the name of the model that will be build.

getModelName() - Method in interface biz.sc.mm.dm.task.MiningApplyTask

Gets the name of the model that will be used for applying.

getModelName() - Method in interface biz.sc.mm.dm.task.MiningBuildTask

Gets the name of the model that will be build.

getModelQualityMeasures() - Method in interface biz.sc.mm.dm.algorithm.abm.ReportResult

getModelResults() - Method in interface biz.sc.mm.dm.algorithm.abm.BuildModelResult

getModelSeries() - Method in interface biz.sc.util.ETS2DData

Gets modeled series chart of ets model

getModelStatDictionary() - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the dictionary of the available model statistics (map: index -> name).

getModelStatistics() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSInternalModel

Gets model statistics from internal model

getModelStatistics() - Method in interface biz.sc.mm.dm.base.MiningModel

Gets statistics of this model.

getModelStatistics() - Method in interface biz.sc.mm.dm.base.ModelStatisticsResult

Returns model detail containg model representaion with statistics.

getModelStatName() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

Gets the list of model statistic names.

getModelStatName(int) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionResults

Gets the name of the specified model statistic.

getModelStatName(int) - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the name of the specified model statistic.

getModelStatNames() - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the array of the model statistics names.

getModelStatResultName() - Method in interface biz.sc.mm.dm.task.ComputeModelStatisticsTask

Gets name of the object, which holds the results of runing this task.

getModelStats(String[]) - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets the decoded (@see decode) statistics of auxiliary model (e.g. parameters or model score).

getModelStats(String[], boolean) - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets the statistics of auxiliary model (e.g. parameters or model score).

getModelStats(String[], boolean, boolean) - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets the statistics of auxiliary model (e.g. parameters or model score).

getModelStatSize() - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the total number of model statistics.

getModelStatValue(int) - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

Gets the value of a given model statistic.

getModelStatValue(int) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionResults

Gets value of the specified model statistic.

getModelStatValue(String) - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the value of the specified model statistic.

getModelStatValue(int) - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets value of the specified model statistic.

getModelsWeight(int) - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleModel

getModePercent() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getModificationFunction() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Gets neighbours modification function.

getMomentum() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.BackProp

Gets value of momentum.

getMProbValue(String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.ProbabilityMatchingFunctionSettings

Returns the m probability set for the given attribute.

getMSE() - Method in interface biz.sc.mm.dm.algorithm.abm.TimeSeriesModelQualityMeasures

getMSE() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModelStatistics

Returns MSE value of the model.

getMSE() - Method in interface biz.sc.mm.dm.modelstats.gam.LinearGAMModelStatistics

getMSE() - Method in interface biz.sc.mm.dm.modelstats.mars.LinearMARSModelStatistics

getMSR() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModelStatistics

Returns MSR value of the model.

getMulticategoryModelType() - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Gets the multicategory model type (e.g.cumulative).

getMultipleTrees() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.BoostedTreesSettings

getMuWrtEtaDerivative(double, double) - Method in interface biz.sc.mm.dm.supervised.statistical.GLMLikelihoodFunction

Gets the partial derivative of the fitted value (mu) with respect to link function (eta).

getName() - Method in interface biz.sc.mm.dm.algorithm.abm.Attribute

getName() - Method in interface biz.sc.mm.dm.algorithm.abm.AttributeCategory

getName() - Method in interface biz.sc.mm.dm.algorithm.abm.Module

getName() - Method in interface biz.sc.mm.dm.algorithm.ensembles.EnsembleItem

getName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettings

getName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.prop.ColumnProperty

getName() - Method in interface biz.sc.mm.dm.clustering.Cluster

Returns the name of the cluster designated by the clustering algorithm.

getName() - Method in interface biz.sc.mm.dm.data.Attribute

Gets the name of this attribute.

getName() - Method in interface biz.sc.mm.dm.data.SignatureAssignment

Returns string representation of the attribute.

getName() - Method in interface biz.sc.mm.dm.modelstats.kmean.Coordinate

Returns coordinate name.

getName() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Segment

Gets segment name.

getName() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Gets the name of this node.

getName() - Method in interface biz.sc.mm.dm.modelstats.tree.SimplePredicate

Returns visual string representation of the predicate.

getName() - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

getName() - Method in interface biz.sc.mm.dm.PersistentObject

Gets the name of the object.

getName() - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeSignatureItem

It is used to get item name

getName() - Method in class biz.sc.mm.dm.scoringcode.ScoringCodeType

getName() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

Returns atribute's name.

getName() - Method in interface biz.sc.mm.dm.supervised.classification.PlotAnalysis

Gets the name of the plot.

getName() - Method in interface biz.sc.mm.dm.task.ApplyOutputItem

Gets the name of attribute in output table.

getName1() - Method in class biz.sc.util.NamePair

getName2() - Method in class biz.sc.util.NamePair

getNames() - Method in class biz.sc.mm.dm.data.AliasRegistry

Gets list of aliases' names.

getNames() - Method in interface biz.sc.mm.dm.data.AttributeSet

Gets the list of all attribute names in the set.

getNames() - Method in interface biz.sc.mm.transformation.parameters.PCAParameters

getNamesOfReducedAttributes() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

getNecessaryAttributes() - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettings

getNegativeCases(int) - Method in interface biz.sc.mm.dm.supervised.classification.PlotAnalysis

Gets the number of negative cases in quantiles: 0,..

getNegativeCountWeights() - Method in interface biz.sc.mm.dm.algorithm.abm.DataSource

getNegativeWeightCount() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

getNetwork() - Method in interface biz.sc.mm.dm.algorithm.socialnets.NetworkObject

getNetworkAttributesId() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

getNetworkName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildTask

getNetworkName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterTask

getNetworkName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaTask

getNetworkName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

getNeuralLayers() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Gets hidden layers.

getNextFireTime() - Method in interface biz.sc.mm.dm.base.Trigger

getNode(int) - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

Returns node with specified id

getNodeID() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Gets the unique id of this node.

getNodeIds() - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

Returns all ids that are used by the tree nodes.

getNodeRule() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Returns string representation of the rule for this node.

getNodes() - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

Returns number of all nodes in the tree.

getNodesBeforePrunning() - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

Returns number of nodes after tree building, before prunning.

getNoise() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Gets noise variance.

getNoiseVariance() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Gets noise variance.

getNominalAttributeGrouping() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.TreeSettings

Returns nominal attribute grouping value.

getNoOfChains() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getNormalizeScore() - Method in interface biz.sc.mm.dm.algorithm.deduplication.WeightedMatchingAlgorithmSettings

Check wheter the score is to be normalized.

getNullCount() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Gets the number of observations that fall into this node with null value at the split attribute.

getNullHandling() - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettings

getNullsCalculated() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getNullsCount() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getNullSimilarity(String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Get the Null Similarity from the AttributeUsageSet

getNullsPercent() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getNullStrategy() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.TreeSettings

Check how the null values are treated.

getNullStrategy() - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

Which null strategy is being used.

getNumberOfAttributeEachSplit() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

getNumberOfAttributes() - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelection

getNumberOfCategories() - Method in interface biz.sc.mm.dm.algorithm.abm.Discretize

Returns DiscretizeSettings.getCategoryNumber()

getNumberOfDiscreteValues() - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

Returns count of all discrete values.

getNumberOfGroups() - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

getNumberOfHistogramQuantiles() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Number of histogram quantiles in split editor

getNumberOfInternalModels() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSModel

Gets number of internal models in internal models list

getNumberOfIntervals() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Returns number of itervals to be calculated.

getNumberOfIntervals(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Returns number of itervals to be calculated for specified attribute.

getNumberOfIntervals() - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationTestTask

Gets the number of intervals

getNumberOfIntervalsXYPlot() - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationTestTask

Gets the number of intervals

getNumberOfIterations() - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

getNumberOfLambdaModels() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

getNumberOfLayers() - Method in interface biz.sc.mm.dm.modelstats.feedforwardneuralnet.NeuralNetworkModelStatistics

Gets number of layers.

getNumberOfLiftQuantiles() - Method in interface biz.sc.mm.dm.algorithm.gam.LogisticGAMSettings

getNumberOfLiftQuantiles() - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesSettings

getNumberOfLiftQuantiles() - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Gets the number of quantiltes used for lift computation.

getNumberOfLiftQuantiles() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedLogisticRegressionSettings

getNumberOfLiftQuantiles() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestTask

Gets the number of quantiltes used for lift computation.

getNumberOfNeurons(int) - Method in interface biz.sc.mm.dm.modelstats.feedforwardneuralnet.NeuralNetworkModelStatistics

Gets number of neurons in specified layer.

getNumberOfNodes() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.NeuralLayer

Gets number of neurons in this layer.

getNumberOfQuantiles() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getNumberOfQuantiles() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getNumberOfQuantiles() - Method in interface biz.sc.mm.dm.supervised.classification.BaseClassificationTestTask

Gets the number of quaniltes used for LIFT/ROC/K-S computation.

getNumberOfQuantiles() - Method in interface biz.sc.mm.dm.supervised.classification.PlotAnalysis

Gets the total number of quantiles used.

getNumberOfTimePoints() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalApplyOutput

Gets the number of time points in which survival function values are calculated.

getNumberOfTimePoints() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestTask

Gets the number of time points for which lift plots are calculated.

getNumberOfTimePoints() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesApplyOutput

Gets the number of time points in which predicted values are calculated.

getNumberOfTimePoints() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesTestTask

Gets the number of time points for which time series statistics are calculated.

getNumberOfTrainingObservations() - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

Returns number of observations in training set for this tree.

getNumerical() - Method in interface biz.sc.mm.dm.modelstats.tree.SplitValue

Returns threshold value for numerical binary split.

getNumericalProperties() - Method in interface biz.sc.mm.dm.data.LogicalAttribute

Deprecated.

getNumericalStatistics() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

Returns a numerical statistics (if available) of the attribute.

getNumericalType() - Method in interface biz.sc.mm.dm.algorithm.abm.ReplaceMissing

getNumericalValue() - Method in interface biz.sc.mm.dm.algorithm.abm.ReplaceMissing

getNumericalValue() - Method in interface biz.sc.mm.dm.modelstats.tree.SimplePredicate

Returns numerical value with which some attribute value will be compared to

getObject1() - Method in class biz.sc.util.ObjectPair

getObject2() - Method in class biz.sc.util.ObjectPair

getObjectIdentifier() - Method in interface biz.sc.mm.dm.PersistentObject

Gets the identifier of the object.

getObligatoryDataAttributes() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettings

getObservationCount() - Method in interface biz.sc.mm.dm.data.PhysicalData

Gets number of observations in this PhysicalData

getObservationCount() - Method in interface biz.sc.mm.dm.data.StatisticsAttributeSet

Gets number of observations in this StatisticsAttributeSet

getObservationCount() - Method in interface biz.sc.mm.dm.statistics.StatisticsSet

Returns all observations count (eg number of database rows).

getObserved(Object, Object) - Method in interface biz.sc.mm.dm.statistics.CramersVCorrelation

getObservedSeries() - Method in interface biz.sc.util.ETS2DData

Gets observed series chart of ets model

getOnlyPreprocessing() - Method in interface biz.sc.mm.dm.algorithm.abm.GroupValues

getOperator() - Method in interface biz.sc.mm.dm.modelstats.tree.CompoundPredicate

getOptCrit() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Gets type of optimum criterion for model fitting

getOptimalSplit() - Method in interface biz.sc.mm.dm.modelstats.tree.Split

The returned split is the split created by algorithm, that means the split is optimal using split evaluation criterion..

getOptimizationAlgorithmSettings() - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Gets current nonlinear optimization algorithm settings.

getOptimizationInformation() - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

Sets switch for additional info from OPT++ library.

getOptimizationMethod() - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

Gets nonlinear optimization method (e.g.Newton-Raphson with step halving).

getOptimizeLambda() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

getOptimizingSignature() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Gets optimizing signature for fitting procedure

getOut() - Method in interface biz.sc.mm.dm.algorithm.abm.Module

getOutAttributesPhysicalDataName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterTask

getOutEdgesPhysicalDataName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterTask

getOutliersCriterion() - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Gets the influence diagnostics criterion to identify outliers.

getOutliersToRemove() - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Gets the number of outliers to be removed from data (0 if none).

getOutline() - Method in class biz.sc.util.LiftCoordinates

getOutputAttributeUsageSet() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

getOutputLayerActivationFunction() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Gets activation function type of output layer.

getOutputModelName() - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

Gets output model name.

getOutputNetworkName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterTask

getOutputPhysicalDataName() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

getOutputPhysicalDataName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaTask

getOutputTransformationName() - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

Gets output transformation name.

getOutputType() - Method in interface biz.sc.mm.dm.task.ModelOutputItem

Gets the type of output for values assigned by model.

getOutTables() - Method in interface biz.sc.mm.dm.algorithm.abm.Module

getP() - Method in interface biz.sc.mm.dm.algorithm.timeseries.garch.GARCHSettings

getParameterUpdateMethod() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getParent() - Method in interface biz.sc.mm.dm.clustering.Cluster

Returns the parent of the cluster.

getPDF(double) - Method in interface biz.sc.mm.dm.supervised.survival.ExtendedSurvivalModel

Gets the survival probability density function value at time t.

getPDFConfidenceInterval(double) - Method in interface biz.sc.mm.dm.supervised.survival.ExtendedSurvivalModel

Gets the confidence interval radius for survival probability density function at time t.

getPDFStdErr(double) - Method in interface biz.sc.mm.dm.supervised.survival.ExtendedSurvivalModel

Gets the standard error estimator for survival probability density function at time t.

getPearsonCorrelation(String, String) - Method in interface biz.sc.mm.dm.statistics.CorrelationMatrix

getPearsonCorrelationMatrix() - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the Pearson correlation matrix for the variables in the model.

getPenalty() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedLogisticRegressionSettings

getPenaltyGamma() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedLogisticRegressionSettings

getPenaltyThreshold() - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

getPercent(String, Object, Object) - Method in interface biz.sc.mm.dm.statistics.CramersVCorrelation

getPercentile(int) - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getPercentiles() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getPercentilesCalculated() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getPhysicalDataIdentifier() - Method in interface biz.sc.mm.dm.statistics.StatisticsResult

Returns the physical data identifier.

getPhysicalDataName() - Method in interface biz.sc.mm.dm.algorithm.deduplication.MatchingTask

Returns the name of the physical data set for the given task.

getPhysicalDataName() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionTask

getPhysicalDataName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildTask

getPhysicalDataName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterTask

getPhysicalDataName() - Method in interface biz.sc.mm.dm.supervised.approximation.CalculateApproximationTestResultTask

Returns name of PhysicalData object with data used for calculation.

getPhysicalDataName() - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Returns name of PhysicalData object with data used for calculation.

getPhysicalDataName() - Method in interface biz.sc.mm.dm.task.CalculateStatisticsTask

Gets the name of physical data which will be used to calculate statistics.

getPhysicalDataName() - Method in interface biz.sc.mm.dm.task.TransformationBuildTask

Gets the name of physical data which will be used to build transformation.

getPoint(int) - Method in class biz.sc.util.LiftCoordinates

getPoint(int) - Method in interface biz.sc.util.Simple2DData

x,y values for given point

getPoints() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardCategory

getPointsCount() - Method in interface biz.sc.mm.dm.modelstats.kmean.KMeansModelStatistics

Returns points count.

getPositive() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.BoostedTreesSettings

getPositiveBinaryPredicateProportion(SplitDistributionBase) - Method in interface biz.sc.mm.dm.algorithm.tree.nulls.NullStrategy

Computes the positive test result's observations proportions.

getPositiveBinaryTargetThreshold() - Method in interface biz.sc.mm.dm.supervised.classification.BaseClassificationTestTask

Gets positive binary target threshold.

getPositiveBinaryTargetThreshold() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationTestResult

Gets positive binary target threshold.

getPositiveCases(int) - Method in interface biz.sc.mm.dm.supervised.classification.PlotAnalysis

Gets the number of positive cases in quantiles: 0,..

getPositiveCasesInQuantile(int) - Method in interface biz.sc.mm.dm.supervised.classification.LiftAnalysis

Get number of positive cases in quantile index.

getPositiveCategoryApriori() - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Gets the positive category apriori probability (subpopulation probability).

getPositiveCountWeights() - Method in interface biz.sc.mm.dm.algorithm.abm.DataSource

getPositiveTargetApriori() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationModel

Gets the a priori probability level for train data target.

getPositiveTargetCategory() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseSignature

getPositiveTargetCategory() - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleSettings

getPositiveTargetCategory() - Method in interface biz.sc.mm.dm.algorithm.gam.LogisticGAMSettings

getPositiveTargetCategory() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettings

getPositiveTargetCategory() - Method in interface biz.sc.mm.dm.algorithm.mars.LogisticMARSSettings

getPositiveTargetCategory() - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesSettings

getPositiveTargetCategory() - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Gets the positive category of the target attribute.

getPositiveTargetCategory() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedLogisticRegressionSettings

getPositiveTargetCategoryRatio() - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

getPositiveTargetValue() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Returns positive value of a target attribute for which statistics should be calculated.

getPositiveTargetValue() - Method in interface biz.sc.mm.dm.supervised.classification.BaseClassificationTestTask

Get positive target value.

getPositiveTargetValue() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationModel

Get positive target value.

getPositiveTargetValue() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationTestResult

Get positive target value.

getPositiveValueProbabilityName() - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Deprecated.

As of Platform version 1.0, use getScore()

getPositiveWeight() - Method in class biz.sc.util.LiftCoordinates

getPostEstimationMode() - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

getPostfixNr() - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettings

getPostfixNumber() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluatorSettings

getPrecision() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getPrecision(Object) - Method in interface biz.sc.mm.dm.supervised.classification.TargetAnalysis

Returns precision value for specified category

getPredicates() - Method in interface biz.sc.mm.dm.modelstats.tree.CompoundPredicate

getPredictedName() - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Deprecated.

As of Platform version 1.0, use getPredictedTarget()

getPredictedTarget() - Method in interface biz.sc.mm.dm.supervised.approximation.CalculateApproximationTestResultTask

Returns name of a column with target value predicted by a model.

getPredictedTarget() - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Returns name of a column with target value predicted by a model.

getPredictedTargetValue(double[]) - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

Gets model-predicted target value for a given observation x.

getPredictedValue() - Method in interface biz.sc.mm.dm.modelstats.tree.classification.ClassificationNode

Gets the target value predicted by this node.

getPrefix() - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettings

getPrefix() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalApplyOutput

Gets the attribute name prefix, which is used for naming the output attributes.

getPrefix() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesApplyOutput

Gets the attribute name prefix, which is used for naming the output attributes.

getPreselection() - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Gets preselection statistic switch value.

getPrior() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getProbabilities(String) - Method in interface biz.sc.mm.transformation.parameters.ReplaceMissingParameters

getProcessedTable() - Method in interface biz.sc.mm.dm.algorithm.abm.Module

getProcessType() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMCommonSettings

getProfit() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getProgrammingLanguageNegativeValue(CodeType) - Method in class biz.sc.mm.transformation.settings.BinarizedValues

getProgrammingLanguagePositiveValue(CodeType) - Method in class biz.sc.mm.transformation.settings.BinarizedValues

getProperlyAssignedCases() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationTestResult

Gets the number of cases whose prediction is equal to actual target value.

getProperties() - Method in interface biz.sc.mm.dm.PersistentObject

Gets special properties of the object.

getProposedValues(Object) - Method in interface biz.sc.mm.dm.data.Attribute

Gets the proposed values forfor given key.

getPrunningStat() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.TreeSettings

getPValue() - Method in interface biz.sc.mm.dm.statistics.CramersVCorrelation

getQ() - Method in interface biz.sc.mm.dm.algorithm.timeseries.arch.ARCHSettings

getQualityImprovementThreshold() - Method in interface biz.sc.mm.dm.algorithm.abm.ConditionalModule

getQuantile(double) - Method in interface biz.sc.mm.dm.statistics.NumericalStatistics

Returns the quantile value for the given limit value.

getQuantileLimits() - Method in interface biz.sc.mm.dm.statistics.NumericalStatistics

Returns all limits for which quantiles were computed.

getQuantiles() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

getQuantiles() - Method in interface biz.sc.mm.dm.supervised.classification.PlotAnalysis

getRandomization() - Method in interface biz.sc.mm.dm.algorithm.bivariate.BivariateProbitSettings

Gets Newton-Raphson algorithm randomization switch value.

getRandomization() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Gets randomization of training examples.

getRandomize() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getRandomSeed() - Method in interface biz.sc.mm.dm.algorithm.bivariate.BivariateProbitSettings

Gets the seed value for a random number generator used by simulated annealing.

getRandomWalkInit() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getRank() - Method in class biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluationRanking.Evaluation

getRank(String, String) - Method in class biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluationRanking

getRanking(String) - Method in class biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluationRanking

getRankPosition(String) - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelectionResult

getRate(int) - Method in interface biz.sc.mm.dm.algorithm.abm.Split

getRatesCount() - Method in interface biz.sc.mm.dm.algorithm.abm.Split

getRatio() - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

getReadReversedData() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Gets reversed ordering parameter

getRecalculate() - Method in interface biz.sc.mm.dm.algorithm.abm.Interactions

getRecalculate() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getRecall() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getReciprocalInformationGain() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getReciprocalTransformationPreferred() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getRedundant(String) - Method in interface biz.sc.mm.transformation.parameters.BinarizeParameters

getRedundantValue() - Method in interface biz.sc.mm.dm.data.BinarizeAttribute

Gets the redundant value for this attribute.

getRegressionMethod() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionSettings

Gets the current regression method.

getRegressionMethod() - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Gets the current regression method.

getRegressionModelName() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardSettings

getRegularizedLinearRegressionSettings() - Method in interface biz.sc.mm.dm.algorithm.abm.RowOutliers

getRegularizedLogisticRegressionSettings() - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

getRemoved() - Method in interface biz.sc.mm.dm.clustering.Cluster

Returns true if cluster was removed durning clustering process

getRemovedCategories(String) - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelectionResult

getRepeatCount() - Method in interface biz.sc.mm.dm.base.Trigger

Get the number of times the Trigger should repeat, after which it will be automatically deleted.

getRepeatCountLeft() - Method in interface biz.sc.mm.dm.base.Trigger

getRepeatInterval() - Method in interface biz.sc.mm.dm.base.Trigger

Get the the time interval (in milliseconds) at which the Trigger should repeat.

getReplaceMissingType() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getReplaceMissingValue() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getReplaceType() - Method in interface biz.sc.mm.dm.data.ReplaceMissingAttribute

getReplaceType(String) - Method in interface biz.sc.mm.transformation.parameters.ReplaceMissingParameters

getRequiredTimeSpan() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesModel

Required time span of the historical epsilons and variances.

getResidualThreshold() - Method in interface biz.sc.mm.dm.algorithm.abm.RowOutliers

getResult() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMReport

getResult() - Method in interface biz.sc.mm.dm.algorithm.abm.BuildModel

getResult() - Method in interface biz.sc.mm.dm.algorithm.abm.ChooseModel

getResult() - Method in interface biz.sc.mm.dm.algorithm.abm.ConditionalDiscretize

getResult() - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

getResult() - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelection

getResult() - Method in interface biz.sc.mm.dm.algorithm.abm.HeterogeneousEnsemble

getResult() - Method in interface biz.sc.mm.dm.algorithm.abm.IndicatorTransformation

getResult() - Method in interface biz.sc.mm.dm.algorithm.abm.Interactions

getResult() - Method in interface biz.sc.mm.dm.algorithm.abm.Outliers

getResult() - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

getResult() - Method in interface biz.sc.mm.dm.algorithm.abm.Split

getResult() - Method in interface biz.sc.mm.dm.algorithm.abm.TransformationModule

getReweightingMode() - Method in interface biz.sc.mm.dm.supervised.classification.BaseClassificationTestTask

Returns the observation reweighting mode.

getRightClosure() - Method in interface biz.sc.mm.dm.data.Interval

Gets right closure.

getRightInterval(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getRightInterval() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getRightIntervalAsPercent(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getRightIntervalAsPercent() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getRMSE() - Method in interface biz.sc.mm.dm.algorithm.abm.ApproximationModelQualityMeasures

getRMSError() - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationTestResult

Returns the value of attribute rmsError.

getRMSError() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesTestResult

Returns the value of attribute rmsError.

getROCAnalysis() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationTestResult

Gets analysis for ROC.

getROCArea() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getROCArea() - Method in interface biz.sc.mm.dm.supervised.classification.ROCAnalysis

Gets the area under the ROC curve.

getRole(int) - Method in interface biz.sc.mm.dm.algorithm.abm.Split

getRoot() - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

Gets the root node of this decision tree.

getRootClusters() - Method in interface biz.sc.mm.dm.clustering.ClusteringModel

Returns collection of root clusters.

getRow() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Cell

Gets cell row.

getRsq() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModelStatistics

Returns R^2 value of the model.

getRsq() - Method in interface biz.sc.mm.dm.modelstats.regularizedregression.RegularizedLinearRegressionModelStatistics

getRSquare() - Method in interface biz.sc.mm.dm.modelstats.gam.LinearGAMModelStatistics

getRSquare() - Method in interface biz.sc.mm.dm.modelstats.mars.LinearMARSModelStatistics

getRSquared() - Method in interface biz.sc.mm.dm.algorithm.abm.ApproximationModelQualityMeasures

getRSquaredError() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesTestResult

Returns the value of R^2 statistics, calculated as R^2 = 1 - RMS^2/Variance(target).

getRTolerance() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getRule(int) - Method in interface biz.sc.mm.dm.modelstats.tree.Split

Gets the predicate rule for i'th child.

getRules() - Method in interface biz.sc.mm.dm.algorithm.abm.TranslationResult

getS() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModelStatistics

Returns estimator of the model's standard error.

getS(double, double[]) - Method in interface biz.sc.mm.dm.supervised.survival.ParametricSurvivalModel

Gets the survival probability for given observation at time t.

getS(double[], double) - Method in interface biz.sc.mm.dm.supervised.survival.ParametricSurvivalModel

Gets the survival probability for given observation at time t.

getS0(double) - Method in interface biz.sc.mm.dm.supervised.survival.NonparametricSurvivalModel

Gets the baseline survivorship function value at time t.

getS0ConfidenceInterval(double) - Method in interface biz.sc.mm.dm.supervised.survival.ExtendedSurvivalModel

Gets the confidence interval radius for baseline survivorship function at time t.

getS0Plot() - Method in interface biz.sc.mm.dm.supervised.survival.NonparametricSurvivalModel

Gets the baseline survivorship function data, required for plotting S0 function.

getS0StdErr(double) - Method in interface biz.sc.mm.dm.supervised.survival.ExtendedSurvivalModel

Gets the standard error estimator for baseline survivorship function at time t.

getSample() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

getSample() - Method in interface biz.sc.mm.dm.modelstats.mcmc.MCMCStatistics

Gets the array of all samples (sub-chains).

getSampler() - Method in interface biz.sc.mm.dm.modelstats.mcmc.MCMCStatistics

Gets sampler object (with additional statistics).

getSamplesNumber() - Method in interface biz.sc.mm.dm.algorithm.abm.ModelTranslator

getSampleTestTable() - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

getSamplingMode() - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

getSchema() - Method in class biz.sc.mm.dm.data.DatabaseAlias

Returns the schema.

getScore(String) - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelectionResult

getScore(double[]) - Method in interface biz.sc.mm.dm.algorithm.discriminant.BinaryDiscriminantAnalysisModel

Calculates score for a given input vector.

getScore() - Method in class biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluationRanking.Evaluation

getScore(String, String) - Method in class biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluationRanking

getScore() - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Returns name of a column with score returned by a model.

getScoreName() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionTask

getScores() - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelectionResult

getScores() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

getScores() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionTask

getScores(double[]) - Method in interface biz.sc.mm.dm.supervised.statistical.classification.ClassificationLikelihoodModel

Gets the scored probabilities for the specified observation vector.

getScores(double[]) - Method in interface biz.sc.mm.dm.supervised.statistical.ClassificationLikelihoodFunction

Gets the scored probabilities for the specified observation vector.

getScoringCodeJava() - Method in interface biz.sc.mm.dm.algorithm.abm.ModelResult

getScoringCodeSQL() - Method in interface biz.sc.mm.dm.algorithm.abm.ModelResult

getScoringResultsMap(double, double, double) - Method in interface biz.sc.mm.dm.supervised.survival.NonparametricSurvivalModel

Gets all the scoring results in the defined intervals.

getScriptList() - Method in interface biz.sc.mm.dm.base.Trigger

Get Scripts List executed by trigger.

getSearchStrategy() - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

getSearchType() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Gets winner searching type.

getSeason() - Method in interface biz.sc.util.ETS2DData

Gets season chart of ets model series decomposition

getSecondAttribute() - Method in interface biz.sc.mm.dm.statistics.CramersVCorrelation

getSecondAttributeName() - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionInfo

getSecondSubtreeIndex() - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionInfo

getSeed() - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

getSeed() - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

getSeed() - Method in interface biz.sc.mm.dm.algorithm.abm.Split

getSeed() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Gets value of seed.

getSeed() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Gets value of seed.

getSeed() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getSeed() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

getSegment() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Cell

Gets assignment segment.

getSegment(int) - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Gets specified segment.

getSegments() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Gets all segments.

getSegmentsCount() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Gets segments count.

getSelectedClusterId() - Method in interface biz.sc.mm.dm.clustering.ClusterIdItem

Gets id of selected cluster.

getSelectedScoreNames() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

getSelectedTargetCategory() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationCategoryItem

Gets category value for this item.

getSensitivity(int) - Method in interface biz.sc.mm.dm.supervised.classification.ROCAnalysis

Gets the sensitivity value for a given quantile.

getSettings() - Method in interface biz.sc.mm.dm.algorithm.abm.BuildModel

getSettings() - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelection

getSettings() - Method in interface biz.sc.mm.dm.algorithm.abm.GAMTransformation

getSettings() - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionsMARSSettings

getSettings() - Method in interface biz.sc.mm.transformation.parameters.TransformationParameters

getSettings() - Method in class biz.sc.util.LiftCoordinates

getSettingsName() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionTask

getSettingsName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildTask

getSettingsName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterTask

getSignature() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getSignature() - Method in interface biz.sc.mm.dm.algorithm.abm.ModelResult

getSignature() - Method in interface biz.sc.mm.dm.base.MiningModel

Gets signature of this model.

getSignature() - Method in interface biz.sc.mm.transformation.parameters.TransformationParameters

getSignatureAttributeName() - Method in interface biz.sc.mm.dm.data.SignatureAssignment

Gets attribute name in signature, that this assignement maps to.

getSignatureBeta() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

Returns estimated parameters of the current model.

getSignatureBeta() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionModel

getSignatureBeta() - Method in interface biz.sc.mm.dm.supervised.statistical.LikelihoodFunction

Gets the values of the parameters included in the model signature.

getSignatureBetaForLambda() - Method in interface biz.sc.mm.dm.modelstats.regularizedregression.RegularizedRegressionModelStatistics

getSignatureName() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMCommonSettings

getSignatureNames() - Method in interface biz.sc.mm.dm.modelstats.gam.GAMModelStatistics

getSignatureNames() - Method in interface biz.sc.mm.dm.modelstats.mars.MARSModelStatistics

getSignatureNames() - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the list of names of attributes in the model.

getSignatureNames() - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalModel

Gets the list of names of attributes in the model.

getSignatureStandardizedBeta() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionModel

getSignificance() - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionInfo

getSignificance(String) - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionsResult

getSignificanceName() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionTask

getSigVarIndex(String) - Method in interface biz.sc.mm.dm.modelstats.statistical.AbstractVariableStatistics

Gets the index of the signature variable for a given name.

getSigVarIndex(String) - Method in interface biz.sc.mm.dm.supervised.statistical.LikelihoodFunction

Gets the index of the signature variable for a given name.

getSigVarIndexDictionary() - Method in interface biz.sc.mm.dm.modelstats.statistical.AbstractVariableStatistics

Gets the dictionary of the variables included in the model signature (map: index -> name).

getSigVarIndexDictionary() - Method in interface biz.sc.mm.dm.supervised.statistical.LikelihoodFunction

Gets the dictionary of the variables included in the model signature (map: index -> name).

getSigVarName(int) - Method in interface biz.sc.mm.dm.modelstats.statistical.AbstractVariableStatistics

Gets the name of the signature variable for a given index.

getSigVarName(int) - Method in interface biz.sc.mm.dm.supervised.statistical.LikelihoodFunction

Gets the name of the signature variable for a given index.

getSigVarNameDictionary() - Method in interface biz.sc.mm.dm.modelstats.statistical.AbstractVariableStatistics

Gets the dictionary of the variable names included in the model signature (map: name -> index).

getSigVarNameDictionary() - Method in interface biz.sc.mm.dm.supervised.statistical.LikelihoodFunction

Gets the dictionary of the variable names included in the model signature (map: name -> index).

getSimulationsNumber() - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionsTreeSettings

getSize() - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

getSize() - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeSignatureItem

If item is an array, this method returns size of an array.

getSkewness() - Method in interface biz.sc.mm.dm.statistics.NumericalStatistics

getSlope() - Method in interface biz.sc.util.ETS2DData

Gets slope chart of ets model series decomposition

getSmoothingFactor() - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesSettings

getSnaSettingsName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaTask

getSort() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Gets value of sort parameter

getSource() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildSettings

getSourceAttributes() - Method in interface biz.sc.mm.dm.algorithm.abm.Attribute

getSourceDataName() - Method in interface biz.sc.mm.dm.task.ApplyTask

Reference to physical data object with specification of the data to be applied.

getSourceElements() - Method in class biz.sc.mm.dm.data.AttribMapping

getSourceName() - Method in interface biz.sc.mm.dm.task.ApplySourceItem

getSourceNode() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.FilterFactory

getSourceVariable(String) - Method in interface biz.sc.mm.dm.algorithm.abm.ConditionalResult

getSourceVariable(String) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariablesResult

getSourceVariables() - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariablesResult

getSourceVariables(String) - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionsResult

getSourceVariableValueOffset(String) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariablesResult

getSplineModels() - Method in interface biz.sc.mm.dm.algorithm.gam.GAMModel

getSplineModels() - Method in interface biz.sc.mm.transformation.parameters.GAMParameters

getSplit() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Returns actual split.

getSplit(int) - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Returns [spIndex] best split.

getSplitAttributeName() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Gets the name of the split attribute.

getSplitEvaluation() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.TreeSettings

The split assessing criterion.

getSplitEvaluation() - Method in interface biz.sc.mm.dm.algorithm.tree.regression.RegressionTreeSettings

The split assessing criterion.

getSplitEvaluation() - Method in interface biz.sc.mm.dm.modelstats.tree.Predicate

Returns evaluation value for this predicate, if computed in the tree building phase.

getSplitEvaluation() - Method in interface biz.sc.mm.dm.modelstats.tree.Split

Returns evaluation value for this split, if computed in the tree building phase.

getSplits() - Method in interface biz.sc.mm.dm.algorithm.gam.SplineModel

getSplits() - Method in interface biz.sc.mm.transformation.parameters.SplineParameters

getSplitSampling() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

getSQLDefinition() - Method in interface biz.sc.mm.dm.data.PhysicalAttribute

If attribute is created as virtual SQL attribute, this method can be used to get its SQL definition.

getSqlType() - Method in interface biz.sc.mm.dm.data.Attribute

Returns sql type for this attribute.

getSqrInformationGain() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getSqrtInformationGain() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getSqrTransformationPreferred() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getSqrtTransformationPreferred() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

getSquareSimilarity() - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingAlgorithmSettings

Is the "square similarity" flag set.

getSSE() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModelStatistics

Returns SSE value of the model.

getSSE() - Method in interface biz.sc.mm.dm.modelstats.gam.LinearGAMModelStatistics

getSSE() - Method in interface biz.sc.mm.dm.modelstats.mars.LinearMARSModelStatistics

getSSR() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModelStatistics

Returns SSR value of the model.

getSSR() - Method in interface biz.sc.mm.dm.modelstats.gam.LinearGAMModelStatistics

getSSR() - Method in interface biz.sc.mm.dm.modelstats.mars.LinearMARSModelStatistics

getSST() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModelStatistics

Returns SST value of the model.

getSST() - Method in interface biz.sc.mm.dm.modelstats.gam.LinearGAMModelStatistics

getSST() - Method in interface biz.sc.mm.dm.modelstats.mars.LinearMARSModelStatistics

getStandardDeviation() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getStandardDeviation() - Method in interface biz.sc.mm.dm.statistics.NumericalStatistics

Returns the standard deviation of the attribute.

getStandardDeviation(String) - Method in interface biz.sc.mm.transformation.parameters.PCAParameters

getStandardDeviation(String) - Method in interface biz.sc.mm.transformation.parameters.StandardizeParameters

getStandardDeviationCalculated() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getStandardDeviationVector() - Method in interface biz.sc.mm.dm.supervised.statistical.LikelihoodFunction

Gets the vector of standard deviation estimator for the present parameters estimator.

getStandardizedTau() - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

getStandardizedTau() - Method in interface biz.sc.mm.transformation.parameters.MARSParameters

getStandardizedTauMap() - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

getStart() - Method in interface biz.sc.mm.dm.data.DateInterval

Gets start of this interval.

getStart() - Method in interface biz.sc.mm.dm.data.DoubleInterval

Gets start of this interval.

getStartTime() - Method in interface biz.sc.mm.dm.base.Trigger

Get the time at which the Trigger should occur.

getStat() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

Returns the model statistics.

getStatistic(String) - Static method in class biz.sc.mm.dm.algorithm.featureselection.InformationGainFilterStatistic

getStatistics() - Method in interface biz.sc.mm.dm.clustering.Cluster

Returns the set of statistics that describe the data assigned to the cluster.

getStatistics() - Method in interface biz.sc.mm.dm.data.PhysicalData

Gets statistics for this PhysicalData

getStatistics() - Method in interface biz.sc.mm.dm.statistics.StatisticsResult

Returns a set of calculated statistics.

getStatisticsSettings() - Method in interface biz.sc.mm.dm.task.CalculateStatisticsTask

Gets StatisticsSettings object associated with this task.

getStatValue(int) - Method in interface biz.sc.mm.dm.supervised.classification.KSAnalysis

Gets the value of K-S statistic in a specified quantile.

getStdDev() - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

getStepModelCoefficients(int) - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets coefficients of the model estimated in a given step.

getStepModelScore(int) - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets the score of the model estimated in a given step.

getStepNo() - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets the total number of steps (indexed from 0).

getStepStatClass(int) - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets the class of the statistics value (e.g.

getStepStatClass(String) - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets the class of the statistics value (e.g.

getStepStatDictionary() - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets the dictionary of the available step statistics (map: name->index).

getStepStatName(int) - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets the name of the step statistic.

getStepStatNames() - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets the names of all available step statistic.

getStepStatNo() - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets the number of the statistics available for single step.

getStepStats(int) - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets the values of all statistics available for a given step.

getStepStatValue(int, int) - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets the value of the step statistic.

getStepStatValue(int, String) - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableSelectionStatistics

Gets the value of the step statistic.

getStratificationMode() - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

getStringRepresentation() - Method in interface biz.sc.mm.dm.modelstats.tree.Predicate

returns string representation of the predicate.

getSubnodeForNulls() - Method in interface biz.sc.mm.dm.modelstats.tree.classification.ClassificationNode

Which subset gets all the missing-values observations, if any.

getSubsetForNulls(SplitDistributionBase) - Method in interface biz.sc.mm.dm.algorithm.tree.nulls.NullStrategy

Decide which sub-node should get the missing-value observations.

getSubsetForNulls() - Method in interface biz.sc.mm.dm.modelstats.tree.Split

Which subset gets the null cases.

getSubsetSizes(Collection[]) - Method in interface biz.sc.mm.dm.modelstats.tree.CategoricalSplitStats

Returns the number of samples for each child WITH NULL values included.

getSubsetSizes(Collection[], Object) - Method in interface biz.sc.mm.dm.modelstats.tree.CategoricalSplitStats

Returns number of samples for each children WITH NULL values included only for the given target category.

getSubsetSizes(double) - Method in interface biz.sc.mm.dm.modelstats.tree.NumericalSplitStats

Return size of each subset.

getSubsetSizes(double, Object) - Method in interface biz.sc.mm.dm.modelstats.tree.NumericalSplitStats

Returns size of each subset restricted to specified target category.

getSubsetSizesNumerical(double, SplitStats, int) - Method in interface biz.sc.mm.dm.algorithm.tree.nulls.NullStrategy

Computes the subset sizes for a binary numerical split.

getSubsetSizesNumerical(double, SplitStats, Object, double[], int) - Method in interface biz.sc.mm.dm.algorithm.tree.nulls.NullStrategy

Computes the given target category statistics among the binary split's subsets.

getSuggestedScore() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getSummaryRank(String) - Method in class biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluationRanking

getSummaryRanking() - Method in class biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluationRanking

getSummaryScore(String) - Method in class biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluationRanking

getSupport() - Method in interface biz.sc.mm.dm.clustering.Cluster

Returns the support defined as the percentage of cases assigned to this cluster relative to the total number of cases in the training data.

getSupportedFunctionSettingsClasses() - Method in interface biz.sc.mm.dm.task.MiningApplyOutput

getSurvivalEstimator() - Method in interface biz.sc.mm.dm.algorithm.survival.nonparametric.NonparametricSurvivalSettings

Gets the nonparametric survival estimator type: product-limit(Kaplan-Meier) or life-table.

getSweepedVarNames() - Method in interface biz.sc.mm.dm.algorithm.likelihood.data.SweepDataModel

Gets the set of attribute names, which are active (sweeped) in the model

getSweepMatrix() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

Gets underlying SWEEP matrix for the current regression model

getTableName() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

getTableName() - Method in interface biz.sc.mm.dm.algorithm.abm.ModelTranslator

getTableName() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.AttributesManipulation

getTableName() - Method in interface biz.sc.mm.dm.data.PhysicalData

Gets data table name.

getTableName() - Method in interface biz.sc.mm.transformation.DataObjectSet

Gets table name inside the database.

getTables() - Method in interface biz.sc.mm.dm.algorithm.abm.DataSource

getTakeWholeChains() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getTarget() - Method in interface biz.sc.mm.dm.algorithm.deduplication.MatchingTask

Returns the target table for matching.

getTarget() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

getTarget() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildSettings

getTarget() - Method in interface biz.sc.mm.dm.supervised.approximation.CalculateApproximationTestResultTask

Returns name of a column with target value.

getTarget() - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Returns name of a column with target value.

getTarget() - Method in interface biz.sc.mm.dm.supervised.MiningTestTask

Gets name of the target attribute.

getTarget() - Method in interface biz.sc.mm.dm.supervised.SupervisedFunctionSettings

Gets the name of target attribute.

getTargetAnalysis() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationTestResult

Gets the analysis for target.

getTargetAttribute() - Method in interface biz.sc.mm.dm.data.AttributeUsageSet

Gets attribute with usage set to target.

getTargetAttributeName() - Method in interface biz.sc.mm.dm.supervised.SupervisedFunctionSettings

Deprecated.

As of Platform version 1.0, use getTarget()

getTargetAttributes() - Method in interface biz.sc.mm.dm.data.AttributeUsageSet

Gets attributes with usage set to target.

getTargetCategoriesOrder() - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Gets the order of the target categories (e.g. data or alphabetical order).

getTargetDataName() - Method in interface biz.sc.mm.dm.task.ApplyTask

Reference to target data, to which output will be written.

getTargetName() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseSignature

getTargetName() - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettings

getTargetName() - Method in interface biz.sc.mm.dm.algorithm.likelihood.data.DataMapper

Gets the name of the target attribute.

getTargetName() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Returns name of a target attribute for which statistics should be calculated.

getTargetNumericalStatistics(Interval) - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

Returns a numerical statistics (if available) for target in given interval.

getTargetNumericalStatistics(Object) - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

Returns a numerical statistics (if available) for target in given variable value.

getTargetType() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Gets the type of target attribute.

getTargetValues() - Method in interface biz.sc.mm.dm.modelstats.tree.MultipleTreeModelStatistics

getTargetValues() - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

Get values of target.

getTargetValues() - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

getTargetVariance() - Method in interface biz.sc.mm.dm.algorithm.likelihood.data.DataMapper

Gets the variance of the target attribute.

getTau() - Method in interface biz.sc.mm.dm.algorithm.gam.SplineModel

getTau() - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

getTau() - Method in interface biz.sc.mm.transformation.parameters.MARSParameters

getTau() - Method in interface biz.sc.mm.transformation.parameters.SplineParameters

getTauLower() - Method in interface biz.sc.mm.dm.algorithm.gam.SplineModel

getTauLower() - Method in interface biz.sc.mm.transformation.parameters.SplineParameters

getTauMap() - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

getTauUpper() - Method in interface biz.sc.mm.dm.algorithm.gam.SplineModel

getTauUpper() - Method in interface biz.sc.mm.transformation.parameters.SplineParameters

getTestDataIdentifier() - Method in interface biz.sc.mm.dm.supervised.MiningTestResult

Gets the unique identifier of physical data applied in this test task.

getTestDataName() - Method in interface biz.sc.mm.dm.task.CommonTestTask

Gets name of the physical data used in this task.

getTestDataTargetAttributeName() - Method in interface biz.sc.mm.dm.supervised.MiningTestTask

Deprecated.

As of Platform version 1.0, use getTarget()

getTestResultName() - Method in interface biz.sc.mm.dm.supervised.approximation.CalculateApproximationTestResultTask

Gets name of the object, which holds the results of runing this task.

getTestResultName() - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Gets name of the object, which holds the results of runing this task.

getTestResultName() - Method in interface biz.sc.mm.dm.supervised.MiningTestTask

Gets name of the object, which holds the results of runing this task.

getThin() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getThreadCount() - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

getThreadCount() - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelection

getThreadCount() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

getThreadCount() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaSettings

getThreads() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.BoostedTreesSettings

getThreshold(int, int) - Method in interface biz.sc.mm.dm.modelstats.feedforwardneuralnet.NeuralNetworkModelStatistics

Gets threshold value for specified neuron.

getThreshold(int) - Method in interface biz.sc.mm.dm.supervised.classification.PlotAnalysis

Gets the right threshold of probablility for the quantile index.

getTieHandlingMethod() - Method in interface biz.sc.mm.dm.algorithm.survival.cox.CoxSettings

Gets the tie handling method for Cox model likelihood function (Breslow, Efron, exact or discrete logistic).

getTimeMap() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalModel

Gets the list of the sorted timepoints used during model estimation.

getTimeout() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

getTimePeriod() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getTimePoint(int) - Method in interface biz.sc.mm.dm.supervised.survival.ParametricSurvivalModel

Gets timePoint Used in script to generate scoring code

getTimePoint(String) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalApplyOutput

Gets the time point for which the specified output attribute value is calculated.

getTimePoint(String) - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesApplyOutput

Gets the time point for which the specified output attribute value is calculated.

getTimePointAttributeName() - Method in interface biz.sc.mm.dm.supervised.ets.ETSFunctionSettings

Gets name of time point attribute

getTimePointAttributeName() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesFunctionSettings

Gets the name of time point attribute.

getTimePointAttributeName() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesTestTask

Gets the name of time point attribute.

getTimepointName() - Method in interface biz.sc.mm.dm.algorithm.abm.BaseSignature

getTimePoints() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalApplyOutput

Gets the vector of all time points which appear in the apply output data.

getTimePoints() - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestResult

Gets the vector of all time points for which lift is computed.

getTimePoints() - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesApplyOutput

Gets the vector of all time points which appear in the apply output data.

getTimeSeriesModelQualityMeasure() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getTopNthIndex() - Method in interface biz.sc.mm.dm.task.RankItem

Gets index of prediction.

getTotalCases() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getTotalCases() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationTestResult

Gets the total number of cases.

getTotalCases() - Method in interface biz.sc.mm.dm.supervised.classification.PlotAnalysis

Gets the total number of cases used to calculate the plot.

getTotalCount() - Method in interface biz.sc.mm.dm.modelstats.tree.SplitStats

number of observations

getTotalCount(Object) - Method in interface biz.sc.mm.dm.modelstats.tree.SplitStats

number of observation (null and non-null) for specified target category

getTotalNegativeCases() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getTotalNegativeCases() - Method in interface biz.sc.mm.dm.supervised.classification.PlotAnalysis

Gets the total number of negative cases used to calculate the plot.

getTotalNodes() - Method in interface biz.sc.mm.dm.modelstats.tree.MultipleTreeModelStatistics

getTotalNullCount() - Method in interface biz.sc.mm.dm.modelstats.tree.SplitStats

number of observations with null value

getTotalNullCount(Object) - Method in interface biz.sc.mm.dm.modelstats.tree.SplitStats

number of observation with null value on the split attribute for specified target category

getTotalPositiveCases() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getTotalPositiveCases() - Method in interface biz.sc.mm.dm.supervised.classification.PlotAnalysis

Gets the total number of positive cases used to calculate the plot.

getTotalValues() - Method in interface biz.sc.mm.dm.data.CategoryMatrix

Returns total values assigned to all entries.

getTotalWeight() - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleModel

getTPREqualsTNRScore() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getTrain() - Method in interface biz.sc.mm.dm.modelstats.tree.Split

Returns split statistics for train data.

getTrainDataTestResult() - Method in interface biz.sc.mm.dm.modelstats.gam.LogisticGAMModelStatistics

getTrainDataTestResult() - Method in interface biz.sc.mm.dm.modelstats.mars.LogisticMARSModelStatistics

getTrainDataTestResult() - Method in interface biz.sc.mm.dm.modelstats.naivebayes.NaiveBayesModelStatistics

getTrainDataTestResult() - Method in interface biz.sc.mm.dm.modelstats.regularizedregression.RegularizedLogisticRegressionModelStatistics

getTrainDataTestResult() - Method in interface biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticRegressionModelStatistics

Gets the TestResult for training data and main model.

getTrainModelQualityMeasures() - Method in interface biz.sc.mm.dm.algorithm.abm.ModelResult

getTrainSize() - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

getTrainStats() - Method in interface biz.sc.mm.dm.modelstats.tree.MultipleTreeModelStatistics

getTransformation() - Method in interface biz.sc.mm.dm.algorithm.abm.ConditionalDiscretizeResult

getTransformation() - Method in interface biz.sc.mm.dm.algorithm.abm.TransformationResult

getTransformation() - Method in interface biz.sc.mm.dm.base.MiningModel

getTransformationMapping(String) - Method in interface biz.sc.mm.transformation.parameters.WeightOfEvidenceParameters

Function returns the mapping of the attribute values to the transformed values.

getTransformationName() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardSettings

getTransformationName() - Method in interface biz.sc.mm.dm.task.TransformationApplyTask

getTransformationName() - Method in interface biz.sc.mm.dm.task.TransformationBuildTask

Gets the name of the transformation runed by this task.

getTransformationParameters() - Method in interface biz.sc.mm.transformation.parameters.MultiTransformationParameters

getTransformationParameters() - Method in interface biz.sc.mm.transformation.Transformation

getTransformationSettings() - Method in interface biz.sc.mm.dm.base.MiningAlgorithmSettingsWithTransformation

getTransformationSettings() - Method in interface biz.sc.mm.transformation.Transformation

getTransformationSettingsName() - Method in interface biz.sc.mm.dm.task.TransformationBuildTask

Get the settings of transformation.

getTransformationType() - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

getTransformationType() - Method in interface biz.sc.mm.transformation.Transformation

getTransformedLogicalData() - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

getTransformedName(String, Object) - Method in interface biz.sc.mm.transformation.parameters.BinarizeParameters

getTransformedNames() - Method in interface biz.sc.mm.transformation.TransformationSetsHandler

getTransformedTarget() - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

getTransformedValue(String, Object) - Method in interface biz.sc.mm.transformation.parameters.WeightOfEvidenceParameters

Function returns a transformed value for the given attribute value.

getTransformedVarNames() - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

getTransformedVarNames() - Method in interface biz.sc.mm.transformation.parameters.MARSParameters

getTransformedVarNum() - Method in interface biz.sc.mm.transformation.parameters.MARSParameters

getTransposedLiftCoordinates() - Method in class biz.sc.util.LiftCoordinates

getTreeDepth() - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

Returns the tree depth, that is the highest level of tree node.

getTrees() - Method in interface biz.sc.mm.dm.modelstats.tree.MultipleTreeModelStatistics

getTreesBuilt() - Method in interface biz.sc.mm.dm.modelstats.tree.MultipleTreeModelStatistics

getTreeSettings() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.BoostedTreesSettings

getTreesRemoved() - Method in interface biz.sc.mm.dm.modelstats.tree.MultipleTreeModelStatistics

getTriggerFrequencyType() - Method in interface biz.sc.mm.dm.base.Trigger

getTriggerMutexName() - Method in interface biz.sc.mm.dm.base.ScriptWrapper

getTrueNegative() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getTrueNegativeCost() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getTrueNegativeProfit() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getTruePositive() - Method in interface biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasures

getTruePositiveCost() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getTruePositiveFraction(int) - Method in interface biz.sc.mm.dm.supervised.classification.KSAnalysis

Gets the fraction of correctly predicted positive observations in a specified quantile.

getTruePositiveProfit() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

getTruePositiveRate(Object) - Method in interface biz.sc.mm.dm.supervised.classification.TargetAnalysis

Returns true positive rate value for specified category.

getTune() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getTuneValue() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getTunnedAcceptanceLevel() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

getType() - Method in interface biz.sc.mm.dm.algorithm.kohonen.LearningAlgorithm

Gets type of Kohonen learning algorithm.

getType() - Method in class biz.sc.mm.dm.algorithm.socialnets.SnaAttributeUsage

getType(Object) - Static method in class biz.sc.mm.dm.data.AttributeDataType

getType(Class) - Static method in class biz.sc.mm.dm.data.AttributeDataType

getType(int) - Static method in class biz.sc.mm.dm.data.AttributeDataType

getType(AttributeDataType) - Static method in class biz.sc.mm.dm.data.AttributeType

getType() - Method in interface biz.sc.mm.dm.data.SignatureAttribute

Gets type of this attribute.

getType(int) - Static method in class biz.sc.mm.dm.data.SQLUtils

getType() - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeSignatureItem

It is used to check item type.

getUIndex() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

getUIndexLimit() - Method in interface biz.sc.mm.dm.algorithm.abm.UsageFinderSettings

getUniqueName(int) - Method in interface biz.sc.mm.dm.supervised.statistical.InputDataInfo

Gets the unique name of the i-th model parameter (e.g.

getUnnormalisedDistance(String, String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.metrics.StringMetric

Evaluates the similarity (according to some metric) between the two strings.

getUpper(String) - Method in interface biz.sc.mm.dm.algorithm.abm.OutliersResult

getUpperConfidenceLimit() - Method in interface biz.sc.util.Estimator2DData

getUpperOutlier() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

getUpperValue(String) - Method in interface biz.sc.mm.transformation.parameters.OutlierParameters

getUsage(String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Get the MatchingUsage from the AttributeUsageSet

getUsage() - Method in interface biz.sc.mm.dm.data.AttributeUsage

Gets usage of this attribute.

getUsage(int) - Method in interface biz.sc.mm.dm.supervised.statistical.InputDataInfo

Gets the variable usage info.

getUsageClasses() - Method in interface biz.sc.mm.dm.data.AttributeUsage

Gets enum classes that can be used to set this attribute usage.

getUsageClasses() - Method in interface biz.sc.mm.dm.data.AttributeUsageSet

Gets list of allowed usage calsses for attributes.

getUsageFinderSettings() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

getUsageOption(AttributeType) - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

getUserName() - Method in class biz.sc.mm.dm.data.DatabaseAlias

Returns the userName.

getUserPassword() - Method in class biz.sc.mm.dm.data.DatabaseAlias

Returns the coded userPassword.

getUserTimeZone() - Method in interface biz.sc.mm.dm.base.Trigger

getUseThreads() - Method in interface biz.sc.mm.dm.algorithm.abm.ABMTask

getUseValueFrequency() - Method in interface biz.sc.mm.dm.algorithm.deduplication.ProbabilityMatchingAlgorithmSettings

If set to true, than the value probability will be estimated using value frequency in the data.

getUseVariables() - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

getValidation() - Method in interface biz.sc.mm.dm.modelstats.tree.Split

Returns split statistics for validation data.

getValidationCount() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Gets the number of observations from validation data set that fall into this node.

getValidationDataIdentifier() - Method in interface biz.sc.mm.dm.base.MiningModel

Gets the unique identifier of physical data used to validate this model.

getValidationDataName() - Method in interface biz.sc.mm.dm.task.MiningBuildTask

Sets the name of data which will be used to build model.

getValidationDataTestResult() - Method in interface biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticRegressionModelStatistics

Gets the TestResult for validation data and main model.

getValidationError() - Method in interface biz.sc.mm.dm.algorithm.abm.Module

getValidationErrorTolerance() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Returns the factor of acceptable validation error according to current minimal validation error in modeling the training data.

getValidationErrorTolerance() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Returns the factor of acceptable validation error according to current minimal validation error in modeling the training data.

getValidationStats() - Method in interface biz.sc.mm.dm.modelstats.tree.MultipleTreeModelStatistics

getValidationValueCount(int) - Method in interface biz.sc.mm.dm.modelstats.tree.classification.ClassificationNode

Gets the number of observations in validation set with specified target value.

getValidationWindow() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Specifies number of iterations between calculation of error on validation set.

getValidationWindow() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Gets size of validation window, i.e. number of iterations between error on validation set is calculated.

getValidModelQualityMeasures() - Method in interface biz.sc.mm.dm.algorithm.abm.ModelResult

getValidSize() - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

getValue(Object) - Method in interface biz.sc.mm.dm.data.Attribute

Gets the custom value for given key.

getValue(Object) - Method in interface biz.sc.mm.dm.data.AttributeSet

Gets the custom value for given key.

getValue(Object, Object) - Method in interface biz.sc.mm.dm.data.CategoryMatrix

Returns the value assigned to matrix entry.

getValue() - Method in interface biz.sc.mm.dm.modelstats.kmean.Coordinate

Returns coordinate value.

getValue() - Method in interface biz.sc.mm.dm.modelstats.tree.BooleanPredicate

Returns boolean value

getValue() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardCategory

getValue(Object) - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

Gets value for given key.

getValueCount(int) - Method in interface biz.sc.mm.dm.modelstats.tree.classification.ClassificationNode

Gets the number of observations in training set with specified target value.

getValueCount(Object) - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

Returns number of occuriences of discreteValue.

getValueCount(Object, Object) - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

Returns number of occuriences of spefied discrete value and target value.

getValueCountAsIs(Object) - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

getValueCountAsIs(Object, Object) - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

getValues() - Method in interface biz.sc.mm.dm.data.Attribute

getValues(String) - Method in interface biz.sc.mm.transformation.parameters.BinarizeParameters

getValues(String) - Method in interface biz.sc.mm.transformation.parameters.ReplaceMissingParameters

getValuesCount() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

Returns all observations of an attibute (including missing observations).

getValuesCountAsIs() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

getVar() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

Returns the array of boolean flags indicating variables included in the model.

getVar1Intervals() - Method in class biz.sc.mm.dm.data.DoubleHistogram2D

getVar1Max() - Method in class biz.sc.mm.dm.data.DoubleHistogram2D

getVar1Min() - Method in class biz.sc.mm.dm.data.DoubleHistogram2D

getVar2Intervals() - Method in class biz.sc.mm.dm.data.DoubleHistogram2D

getVar2Max() - Method in class biz.sc.mm.dm.data.DoubleHistogram2D

getVar2Min() - Method in class biz.sc.mm.dm.data.DoubleHistogram2D

getVarGroupName(int) - Method in interface biz.sc.mm.dm.supervised.statistical.InputDataInfo

Gets the name of the i-th group of variables.

getVariableImportance() - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesModel

getVariables() - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionResults

Gets the array of the identifiers of variables included in the model.

getVariables() - Method in interface biz.sc.mm.dm.modelstats.statistical.AbstractVariableStatistics

getVariableSelectionMethod() - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Gets the current variable selection method.

getVariableSelectionSettings() - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Gets current variable selection settings.

getVariableSelectionStatistics() - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the history of iterations of a variable selection method applied to the model.

getVariableSignificanceMode() - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Gets current variable significance test mode (e.g.

getVariablesNumber() - Method in interface biz.sc.mm.dm.algorithm.abm.ModelTranslator

getVariableStatistics() - Method in interface biz.sc.mm.dm.modelstats.statistical.StatisticalModelStatistics

Gets the variable statistics for the given model.

getVariance() - Method in interface biz.sc.mm.dm.algorithm.abm.CrossvalidationGini

getVariance(int) - Method in interface biz.sc.mm.dm.algorithm.likelihood.data.DataMapper

Gets the variance of the specified attribute.

getVariance() - Method in interface biz.sc.mm.dm.modelstats.tree.regression.RegressionNode

getVariance() - Method in interface biz.sc.mm.dm.statistics.NumericalStatistics

Returns the variance of the values of the attribute.

getVariance(double, double) - Method in interface biz.sc.mm.dm.supervised.statistical.GLMLikelihoodFunction

Gets the variance for a given observation (equal to 2nd derivative of B wrt theta).

getVarianceVector() - Method in interface biz.sc.mm.dm.supervised.statistical.LikelihoodFunction

Gets the vector of variance estimator for the present parameters estimator.

getVarName(int) - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

Gets the name of a given variable statistic.

getVarName(int) - Method in interface biz.sc.mm.dm.supervised.statistical.InputDataInfo

Gets the name of the i-th model variable.

getVarNames() - Method in interface biz.sc.mm.dm.algorithm.gam.GAMModel

getVarNames() - Method in interface biz.sc.mm.dm.algorithm.likelihood.data.DataMapper

Gets the names of all attributes.

getVarNames() - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

getVarNames() - Method in interface biz.sc.mm.dm.modelstats.statistical.AbstractVariableStatistics

getVarNames() - Method in interface biz.sc.mm.transformation.parameters.GAMParameters

getVarNames() - Method in interface biz.sc.mm.transformation.parameters.MARSParameters

getVarNamesMap() - Method in interface biz.sc.mm.dm.algorithm.likelihood.data.SweepDataModel

Gets mappings of attribute names into column indexes

getVarNo() - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionResults

Gets the number of variables in the model (including optional intercept).

getVarNo() - Method in interface biz.sc.mm.dm.modelstats.statistical.AbstractVariableStatistics

Gets the number of variables in the model (including optional intercept).

getVarNo() - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalModel

Gets the total number of variables included in the model

getVarStat() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

Gets the values of model variable statistics.

getVarStatDictionary() - Method in interface biz.sc.mm.dm.modelstats.statistical.AbstractVariableStatistics

Gets the dictionary of the available variable statistics (map: index -> name).

getVarStatName() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

Gets the list of variable statistic names.

getVarStatName(int) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionResults

Gets the name of the specified variable statistic.

getVarStatName(int) - Method in interface biz.sc.mm.dm.modelstats.statistical.AbstractVariableStatistics

Gets the name of the specified variable statistic.

getVarStatNames() - Method in interface biz.sc.mm.dm.modelstats.statistical.AbstractVariableStatistics

Gets the array of the variable statistics names.

getVarStatSize() - Method in interface biz.sc.mm.dm.modelstats.statistical.AbstractVariableStatistics

Gets the number of variable statistics available for the given model.

getVarStatValue(int, int) - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionResults

Gets value of variable statistic for a given model variable.

getVarStatValue(String, int) - Method in interface biz.sc.mm.dm.modelstats.statistical.AbstractVariableStatistics

Gets value of variable statistic for a given model variable.

getVarStatValue(String, String) - Method in interface biz.sc.mm.dm.modelstats.statistical.AbstractVariableStatistics

Gets the value of the specified variable statistic.

getVarStatValue(String, VariableStatistic) - Method in interface biz.sc.mm.dm.modelstats.statistical.VariableStatistics

Gets the value of the specified variable statistic.

getVector() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Cell

Gets cell vector.

getVertexId() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterSettings

getVertexId() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaSettings

getVertexId() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.AttributesManipulation

getWasError() - Method in interface biz.sc.mm.dm.algorithm.ets.ETSInternalModel

Gets value of wasError flag: if during model building were exceptions then wasError flag has value true

getWeight(String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.WeightedMatchingFunctionSettings

Get the Weight from the AttributeUsageSet

getWeight() - Method in interface biz.sc.mm.dm.algorithm.ensembles.EnsembleItem

getWeight() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildSettings

getWeight(int, int, int) - Method in interface biz.sc.mm.dm.modelstats.feedforwardneuralnet.NeuralNetworkModelStatistics

Gets value of specified weight.

getWeight() - Method in interface biz.sc.mm.dm.supervised.classification.BaseClassificationTestTask

Returns name of a column with weight value.

getWeightedCountInInterval(Interval) - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

getWeightedCountInInterval(Interval, Object) - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

getWeightedCountInIntervals() - Method in interface biz.sc.mm.dm.statistics.ContinuousStatistics

getWeightedMissingValuesCount() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

getWeightedValueCount(Object) - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

getWeightedValueCount(Object, Object) - Method in interface biz.sc.mm.dm.statistics.DiscreteStatistics

getWeightedValuesCount() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

getWeightingStat() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

getWeightName() - Method in interface biz.sc.mm.dm.statistics.AttributeStatistics

getWeightName() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

getWeightName() - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationTestResult

Gets the name of the weight attribute.

getWeightName() - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

getWeightOfEvidence() - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardCategory

getWeightTuningConstant() - Method in interface biz.sc.mm.dm.algorithm.regression.weighted.WeightedRegressionSettings

Gets weight tuning constant.

getWeightType() - Method in interface biz.sc.mm.dm.algorithm.regression.weighted.WeightedRegressionSettings

Gets the weight type (e.g.student, huber).

getWhere() - Method in interface biz.sc.mm.dm.data.PhysicalData

getWhere() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Returns a map containing attribute name as a key (String), and a String with a where value.

getWhereList() - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Returns a map containing attribute name as a key (String), and a List of Strings with a 'where' statements.

getWhereStatistics(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSet

Returns collection of all statistis (as AttributeStatistics objects) that are computed for specified where value.

getWhereStatistics(String, String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSet

Returns statistics calculated for specified attribute and where value.

getWhereValues() - Method in interface biz.sc.mm.dm.statistics.StatisticsSet

Returns collection of all where values (as String objects) for which statistics are computed.

getWidth() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Gets map width.

getWidth() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Gets map width (collumns count).

getXAxis() - Method in class biz.sc.util.LiftCoordinates

getXPos() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.NetworkAttributes

getXPos() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

getYAxis() - Method in class biz.sc.util.LiftCoordinates

getYMean() - Method in interface biz.sc.mm.dm.algorithm.gam.SplineModel

getYMean() - Method in interface biz.sc.mm.transformation.parameters.SplineParameters

getYPos() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.NetworkAttributes

getYPos() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

getZeroThreshold() - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelection

getZeroThreshold() - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

gini - Static variable in class biz.sc.mm.dm.algorithm.naivebayes.ImportanceMeasure

gini - Static variable in class biz.sc.mm.dm.algorithm.tree.classification.SplitEvaluation

Split assessment function based on the entropy function.

GINI_INDEX - Static variable in class biz.sc.mm.dm.algorithm.featureselection.InformationGainFilterStatistic

GLMLikelihoodFunction - Interface in biz.sc.mm.dm.supervised.statistical

Interface for likelihood functions representing generalized linear models (GLM).

global - Static variable in class biz.sc.mm.dm.algorithm.kohonen.SearchType

global searching

gradient - Static variable in class biz.sc.mm.dm.supervised.statistical.ConvergenceCriterion

Gradient norm is less than predefined threshold

gradientRelative - Static variable in class biz.sc.mm.dm.supervised.statistical.ConvergenceCriterion

Relative (normalized) gradient norm is less than predefined threshold

greaterOrEqual - Static variable in class biz.sc.mm.dm.modelstats.tree.ComparisonOperator

greaterThan - Static variable in class biz.sc.mm.dm.modelstats.tree.ComparisonOperator

GroupStatistics - Interface in biz.sc.mm.dm.modelstats.statistical

Variable or group statistics common for all statistical models.

GroupValues - Interface in biz.sc.mm.dm.algorithm.abm

groupValues - Static variable in class biz.sc.mm.transformation.TransformationType

GroupValuesFactory - Interface in biz.sc.mm.dm.algorithm.abm

GroupValuesParameters - Interface in biz.sc.mm.transformation.parameters

GWASelectionSettings - Interface in biz.sc.mm.dm.algorithm.gwaselection

GWASelectionSettingsFactory - Interface in biz.sc.mm.dm.algorithm.gwaselection

GWASelectionTask - Interface in biz.sc.mm.dm.algorithm.gwaselection

GWASelectionTaskFactory - Interface in biz.sc.mm.dm.algorithm.gwaselection

GYTHON - Static variable in class biz.sc.mm.dm.scoringcode.ScoringCodeType

gython - Static variable in class biz.sc.mm.transformation.TransformationLanguage

Specifies Gython language.

H

hashCode() - Method in class biz.sc.mm.dm.clustering.ClusterScoreResult

hashCode() - Method in class biz.sc.mm.dm.data.AttribMapping.Entry

hashCode() - Method in class biz.sc.mm.dm.data.DatabaseAlias

hashCode() - Method in class biz.sc.mm.dm.Enum

Returns a hash code value for the object.

hashCode() - Method in class biz.sc.mm.dm.scoringcode.ScoringCodeType

hashCode() - Method in class biz.sc.util.ObjectPair

hasMapping(MapItem, MapItem) - Method in interface biz.sc.mm.dm.scoringcard.ModelToCardMap

HeterogeneousEnsemble - Interface in biz.sc.mm.dm.algorithm.abm

HeterogeneousEnsembleFactory - Interface in biz.sc.mm.dm.algorithm.abm

HeterogeneousEnsemblePrepare - Interface in biz.sc.mm.dm.algorithm.abm

HeterogeneousEnsemblePrepareFactory - Interface in biz.sc.mm.dm.algorithm.abm

hexagonal - Static variable in class biz.sc.mm.dm.modelstats.kohonen.CellType

hexagonal cell type

HILL_CLIMBING - Static variable in class biz.sc.mm.dm.algorithm.ensembles.AggregationType

huber - Static variable in class biz.sc.mm.dm.algorithm.regression.weighted.WeightType

Huber weight

hyperbolicTangent - Static variable in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.NeuronActivationFunctionType

hiperbolic tangensoidal activation function type

I

ID - Static variable in class biz.sc.mm.dm.algorithm.abm.ABMAttributeUsage

identity - Static variable in class biz.sc.mm.transformation.TransformationType

IdentityParameters - Interface in biz.sc.mm.transformation.parameters

IGNORE - Static variable in class biz.sc.mm.dm.algorithm.socialnets.SnaAttributeUsage

importance - Static variable in class biz.sc.mm.dm.supervised.statistical.AuxiliaryStatisticsMode

Variable selection related statistics (model scores, attribute importance).

ImportanceMeasure - Class in biz.sc.mm.dm.algorithm.naivebayes

in - Static variable in class biz.sc.mm.dm.modelstats.tree.ComparisonOperator

INACTIVE - Static variable in class biz.sc.mm.dm.algorithm.abm.ABMAttributeUsage

inactive - Static variable in class biz.sc.mm.dm.UsageOption

Indicates that the attribute is not used for the mining function in any way.

includeAllWithPrefix(TestReport, String) - Method in interface biz.sc.mm.dm.TestReport

Copies all messages from given message report, adding prefix to each of them.

IndexedArrayList - Class in biz.sc.util

This empty extension of array list is used by Explorer.

IndexedArrayList() - Constructor for class biz.sc.util.IndexedArrayList

indexOf(Object) - Method in interface biz.sc.mm.dm.data.CategorySet

Returns the index of the categorical value.

IndicatorTransformation - Interface in biz.sc.mm.dm.algorithm.abm

IndicatorTransformationFactory - Interface in biz.sc.mm.dm.algorithm.abm

IndicatorTransformationResult - Interface in biz.sc.mm.dm.algorithm.abm

InfluenceDiagnostic - Class in biz.sc.mm.dm.modelstats.statistical

Enumeration of available influence diagnostics, used for identification of observations which strongly influence model parameters.

InfluenceDiagnostic(String, int) - Constructor for class biz.sc.mm.dm.modelstats.statistical.InfluenceDiagnostic

INFORMATION_GAIN - Static variable in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesSelector

InformationCriterion - Class in biz.sc.mm.dm.algorithm.regularizedregression

InformationGainFilterStatistic - Class in biz.sc.mm.dm.algorithm.featureselection

InformationGainFilterStatistic() - Constructor for class biz.sc.mm.dm.algorithm.featureselection.InformationGainFilterStatistic

METHODS ***

InformationGainFilterStatistic(String, int) - Constructor for class biz.sc.mm.dm.algorithm.featureselection.InformationGainFilterStatistic

initFromIntervals(String, List<DoubleInterval>) - Method in interface biz.sc.mm.transformation.parameters.DiscretizeParameters

initFromIntervals(String, List<DoubleInterval>) - Method in interface biz.sc.mm.transformation.parameters.GroupValuesParameters

initFromLimits(String, double[]) - Method in interface biz.sc.mm.transformation.parameters.DiscretizeParameters

initFromLimits(String, Double[]) - Method in interface biz.sc.mm.transformation.parameters.DiscretizeParameters

initFromLimits(String, double[], int) - Method in interface biz.sc.mm.transformation.parameters.DiscretizeParameters

initFromLimits(String, Double[], int) - Method in interface biz.sc.mm.transformation.parameters.DiscretizeParameters

initFromSet(AttributeSet<? extends Attribute>) - Method in interface biz.sc.mm.dm.data.AttributeSet

Adds attributes from given set.

initFromSet(AttributeSet<? extends Attribute>, AttributeSet.AttributeCreator<T>) - Method in interface biz.sc.mm.dm.data.AttributeSet

initializeClusters(ArrayList<Cluster>, ArrayList<Point>) - Method in interface biz.sc.mm.dm.algorithm.kmean.KMeansInitializationProperties

initLayout(int) - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.NetworkAttributes

InputDataInfo - Interface in biz.sc.mm.dm.supervised.statistical

Common interface for object operating on data (statistical models, data mappers, etc.).

insert(int) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSubset

intcp() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

Returns the number of model intercepts.

intcp() - Method in interface biz.sc.mm.dm.supervised.statistical.InputDataInfo

Returns the number of intercepts used.

INTEGER - Static variable in class biz.sc.mm.dm.algorithm.socialnets.SnaAttributeUsage

integerType - Static variable in class biz.sc.mm.dm.data.AttributeDataType

The type of this attribute values is integer.

INTERACT - Static variable in class biz.sc.mm.dm.algorithm.featureselection.InteractionsUsageOption

InteractionInfo - Interface in biz.sc.mm.dm.algorithm.abm

Interactions - Interface in biz.sc.mm.dm.algorithm.abm

InteractionsAlgorithmSettings - Interface in biz.sc.mm.dm.algorithm.abm

InteractionsFactory - Interface in biz.sc.mm.dm.algorithm.abm

InteractionSignificanceType - Class in biz.sc.mm.dm.algorithm.abm

InteractionsMARSSettings - Interface in biz.sc.mm.dm.algorithm.abm

InteractionsMARSSettingsFactory - Interface in biz.sc.mm.dm.algorithm.abm

InteractionsResult - Interface in biz.sc.mm.dm.algorithm.abm

InteractionsTreeSettings - Interface in biz.sc.mm.dm.algorithm.abm

InteractionsTreeSettingsFactory - Interface in biz.sc.mm.dm.algorithm.abm

InteractionsUsageOption - Class in biz.sc.mm.dm.algorithm.featureselection

Interval - Interface in biz.sc.mm.dm.data

Interval.

INTERVALS_NUM - Static variable in interface biz.sc.mm.dm.scoringcard.ScoringCardBuilderSettings

irls - Static variable in class biz.sc.mm.dm.algorithm.regression.RegressionMethod

Iteratively Reweighted Least Squares regression

IRLSSettings - Interface in biz.sc.mm.dm.algorithm.regression.irls

IRLS regression algorithm settings.

IRLSSettingsFactory - Interface in biz.sc.mm.dm.algorithm.regression.irls

Factory for IRLS regression algorithm settings.

isActive() - Method in interface biz.sc.mm.dm.base.Trigger

Get the value of current state of trigger (active or inactive).

isActive(int) - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalModel

Gets model variable presence/absence info.

isAddDiscreteValuesToInputSignature() - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

Determines if discrete values for categorical attributes should be calculated and added to scoring code input signature.

isAutomaticDataTransformations() - Method in interface biz.sc.mm.dm.base.MiningAlgorithmSettingsWithTransformation

isAutoSample() - Method in interface biz.sc.mm.dm.algorithm.abm.ModelTranslator

isBagging() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

isBatchLearning() - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.Backpropagation

Gets batch learning falg.

isBatchLearning() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Specify if batch learning is on.

isCalcPermutationImportance() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

isCalculateGWASelection() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

isCalculateSplitStatistics() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Calculate split statistics

isCategorical(String) - Method in interface biz.sc.mm.dm.data.AttributeSet

Check if attribute is categorical (when binarize was used).

isChangeUsagesOnEachSplit() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

isComputeQuantiles() - Method in interface biz.sc.mm.dm.supervised.classification.BaseClassificationTestTask

Check if lift and ROC will be computed.

isCountCalculated(String) - Method in interface biz.sc.mm.dm.algorithm.abm.Signature

isCumulative() - Method in class biz.sc.util.LiftCoordinatesSettings

isDataRandomization() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Specify if data are randomized.

isDate() - Method in class biz.sc.mm.dm.data.AttributeDataType

isDefaultMappingUsed() - Method in interface biz.sc.mm.dm.task.ApplyTask

Check if default mapping is used.

isDefinedAlias(DatabaseAlias) - Method in class biz.sc.mm.dm.data.AliasRegistry

isDirty() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Check if this node is dirty.

isDiscrete() - Method in interface biz.sc.mm.dm.data.NumericalAttributeProperties

Deprecated.

isDouble() - Method in class biz.sc.mm.dm.data.AttributeDataType

isDropTableIfExists() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

isEditable() - Method in interface biz.sc.mm.dm.PersistentObject

Gets editableStatus

isEmpty() - Method in class biz.sc.mm.dm.data.AttribMapping

isEmpty() - Method in interface biz.sc.mm.dm.TestReport

Checks if report is empty.

isEqual(Enum) - Method in class biz.sc.mm.dm.Enum

Indicates whether some other enumeration is "equal to" this one.

isExecuteInDatabase() - Method in interface biz.sc.mm.dm.task.TransformationApplyTask

isExistingAlias(String) - Method in class biz.sc.mm.dm.data.AliasRegistry

isFastLikelihood() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

isFastMikusLikelihood() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

isForceUndirected() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildSettings

isGenerateTable() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

isHigherBetter() - Method in class biz.sc.mm.dm.algorithm.abm.ApproximationModelQualityMeasure

isHigherBetter() - Method in class biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasure

isInteger() - Method in class biz.sc.mm.dm.data.AttributeDataType

isKeyEditable(Object) - Method in interface biz.sc.mm.dm.data.AttributeSet

isKindOf(CodeType) - Method in class biz.sc.mm.dm.scoringcode.ScoringCodeType

isLeaf() - Method in interface biz.sc.mm.dm.clustering.Cluster

Returns true if the cluster is a leaf node in a hierarchical clustering model and false if it is a internal node.

isLeaf() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Check if this node is a leaf node.

isLevelCalculationFromLeafs() - Method in interface biz.sc.mm.dm.clustering.ClusteringRankItem

Checks wheter calculation of level begins from leafs or root.

isLiberalExecution() - Method in interface biz.sc.mm.dm.base.Task

While in liberal execution mode, task executor will try to finish the task with result e.g fixing errors that it can fix, droping rows that it can't process,...

isLiberalExecution() - Method in interface biz.sc.mm.dm.base.TaskResult

True if object was created by task, which was in liberal excecution mode.

isLiberalMode() - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

isLimitsBasedOnScoreActive() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

isLoadSorted() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildSettings

isLowerOutlierSet() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

isLowerSet(String) - Method in interface biz.sc.mm.dm.algorithm.abm.OutliersResult

isMergeable() - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettings

isMergeResults() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaSettings

isNodeRules() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

isNormalizeWeights() - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildSettings

isNotSpecyfied() - Method in class biz.sc.mm.dm.data.AttributeDataType

isNullSplit() - Method in interface biz.sc.mm.dm.modelstats.tree.SimplePredicate

If true, than split test is "ATTRIBUTE IS NULL".

isNullTestAllowed() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Experimental feature.

isNumber() - Method in class biz.sc.mm.dm.data.AttributeDataType

isNumerical() - Method in interface biz.sc.mm.dm.modelstats.tree.SimplePredicate

Numerical predicate type flag.

isNumerical() - Method in interface biz.sc.mm.dm.modelstats.tree.Split

Numerical split type flag.

isOnlyPreprocessing() - Method in interface biz.sc.mm.transformation.parameters.GroupValuesParameters

isPearsonBasedSweepMode() - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

isPositive(double[]) - Method in interface biz.sc.mm.dm.algorithm.discriminant.BinaryDiscriminantAnalysisModel

Assigns vector to one of two classes.

isPreservingAttribList() - Method in class biz.sc.mm.transformation.TransformationType

isProbability() - Method in class biz.sc.util.LiftCoordinatesSettings

isProbAggregate() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.BoostedTreesSettings

isPruned() - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Check if this node was pruned.

isPruneOversampled() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.TreeSettings

Experimental feature.

isPruneTree() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Decides whether tree will be pruned after building.

isPruneValidation() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

isRecalculate() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluatorSettings

isReplaceExistingData() - Method in interface biz.sc.mm.dm.task.ApplyTask

Behaviour of task if the target data already exists.

isReversibleSweepMode() - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

isSameStorage(DatabaseAlias) - Method in class biz.sc.mm.dm.data.DatabaseAlias

Checks whether given alias is the same alias like this.

isSamplingFromPrior() - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

isSaveTrees() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

isSelected() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluatorSettings

isSet(String) - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelectionResult

isSimpleTransformation() - Method in class biz.sc.mm.transformation.TransformationType

isSmoothHistograms() - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

If true, histograms in split statistics will be smooth, using kernel density estimation method

isSplitEvaluationVariability() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

isSQLAttribute(String) - Method in interface biz.sc.mm.dm.data.PhysicalData

Checks whether a given attribute is an SQL attribute

isStratifiedSampling() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

isString() - Method in class biz.sc.mm.dm.data.AttributeDataType

isSubsweepMode() - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

isTestDataNeeded() - Method in class biz.sc.mm.dm.algorithm.ensembles.AggregationType

isTooLarge() - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

isTorus() - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Specify if map is closed into torus.

isTorus() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Specify if borders of map are connected togoether into torus.

isTransformable(AttributeType) - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

isTransformationChosen(String) - Method in interface biz.sc.mm.dm.algorithm.abm.ConditionalResult

isTriangularSweepMode() - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

isTypeOf(TransformationType) - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

isUpperOutlierSet() - Method in interface biz.sc.mm.dm.algorithm.abm.CommonAttribute

isUpperSet(String) - Method in interface biz.sc.mm.dm.algorithm.abm.OutliersResult

isUseUserTimeZone() - Method in interface biz.sc.mm.dm.base.Trigger

isUseWeights() - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettings

isUsingCustomApriori() - Method in class biz.sc.util.LiftCoordinatesSettings

isVariableSampling() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

isWeightFromValidErr() - Method in interface biz.sc.mm.dm.algorithm.tree.classification.BoostedTreesSettings

J

JAVA - Static variable in class biz.sc.mm.dm.scoringcode.ScoringCodeType

java - Static variable in class biz.sc.mm.transformation.TransformationLanguage

Specifies Java language.

K

K_FOLD - Static variable in class biz.sc.mm.dm.algorithm.abm.CrossValidationType

KAISER - Static variable in class biz.sc.mm.transformation.settings.PCACriterion

Kaiser criterion.

kaplanMeier - Static variable in class biz.sc.mm.dm.algorithm.survival.nonparametric.NonparametricSurvivalEstimator

Kaplan-Meier (product-limit) estimator

keys - Static variable in interface biz.sc.mm.dm.statistics.AttributeStatistics

KMeansInitializationProperties - Interface in biz.sc.mm.dm.algorithm.kmean

KMeansInitializationPropertiesFactory - Interface in biz.sc.mm.dm.algorithm.kmean

KMeansInitializationPropertiesType - Class in biz.sc.mm.dm.algorithm.kmean

Type of initialization centroids for K-Means.

KMeansModel - Interface in biz.sc.mm.dm.algorithm.kmean

Defines KMeans Clustering model.

KMeansModelStatistics - Interface in biz.sc.mm.dm.modelstats.kmean

Statistics interface for generated K-Means model.

KMeansSettings - Interface in biz.sc.mm.dm.algorithm.kmean

KMean algorithm settings used to build clustering model.

KMeansSettingsFactory - Interface in biz.sc.mm.dm.algorithm.kmean

KMeanSettingsFactory is used to create the KMeanSettings object.

KohonenClassificationSettings - Interface in biz.sc.mm.dm.algorithm.kohonen

Interface for classification Kohonen settings.

KohonenClassificationSettingsFactory - Interface in biz.sc.mm.dm.algorithm.kohonen

Factory for Kohonen classification settings.

KohonenClusteringSettings - Interface in biz.sc.mm.dm.algorithm.kohonen

Interface for clustering Kohonen settings.

KohonenClusteringSettingsFactory - Interface in biz.sc.mm.dm.algorithm.kohonen

Factory for Kohonen clustering settings.

KohonenMiningType - Class in biz.sc.mm.dm.algorithm.kohonen

Kohonen mining types enumerations.

KohonenModel - Interface in biz.sc.mm.dm.algorithm.kohonen

Interface for Kohonen model.

KohonenModelStatistics - Interface in biz.sc.mm.dm.modelstats.kohonen

Kohonen model statistics interface.

KohonenSettings - Interface in biz.sc.mm.dm.algorithm.kohonen

Base settings for Kohonen algorithm.

KohonenSettingsFactory - Interface in biz.sc.mm.dm.algorithm.kohonen

Factory for Kohonen settings.

KOLMOGOROV_SMIRNOV - Static variable in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesSelector

ks - Static variable in class biz.sc.mm.dm.supervised.statistical.VariableSignificanceMode

Significance test based on Kolmogorov-Smirnov statistics comparison.

KSAnalysis - Interface in biz.sc.mm.dm.supervised.classification

Data provided for Kolmogorov-Smirnov plot.

L

largest - Static variable in class biz.sc.mm.dm.algorithm.tree.nulls.NullStrategyEnum

Largest-is-best null strategy.

LAST_DAY_OF_MONTH - Static variable in class biz.sc.mm.dm.base.TriggerFrequencyType

lastWin - Static variable in class biz.sc.mm.dm.algorithm.kohonen.SearchType

last winner local searching

LearningAlgorithm - Interface in biz.sc.mm.dm.algorithm.kohonen

Interface for Kohonen learning algorithm properties.

LearningAlgorithmFactory - Interface in biz.sc.mm.dm.algorithm.kohonen

Factory for Kohonen learning algorithms.

LearningAlgorithmType - Class in biz.sc.mm.dm.algorithm.kohonen

Kohonen learning algorithm types enumeration.

LearningHistory - Interface in biz.sc.mm.dm.base

This interface is used for storing statistics describing learning process.

LEAVE_1_OUT - Static variable in class biz.sc.mm.dm.algorithm.abm.CrossValidationType

left - Static variable in class biz.sc.mm.dm.algorithm.tree.nulls.NullStrategyEnum

Left split null strategy.

lessOrEqual - Static variable in class biz.sc.mm.dm.modelstats.tree.ComparisonOperator

lessThan - Static variable in class biz.sc.mm.dm.modelstats.tree.ComparisonOperator

LEVELS - Static variable in interface biz.sc.mm.dm.scoringcard.ScoringCardData

leverage - Static variable in class biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionOutputType

Output will contain value of the leverage (model influence statistics) for a given observation (e.g. hat-matrix based).

leverage - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputType

The leverage (model influence statistics) for a given observation (e.g. hat-matrix based).

leverage - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.linear.LinearInfluenceDiagnostic

The leverage (model influence statistics) for a given observation (e.g. hat-matrix based).

leverage - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticInfluenceDiagnostic

The leverage (model influence statistics) for a given observation (e.g. hat-matrix based).

lifeTable - Static variable in class biz.sc.mm.dm.algorithm.survival.nonparametric.NonparametricSurvivalEstimator

Life-Table estimator

LIFT - Static variable in class biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasure

LIFT - Static variable in interface biz.sc.mm.dm.supervised.classification.ClassificationTestResult

LiftAnalysis - Interface in biz.sc.mm.dm.supervised.classification

LiftAnlysis provides data for lift computation.

LiftCoordinates - Class in biz.sc.util

LiftCoordinates() - Constructor for class biz.sc.util.LiftCoordinates

LiftCoordinates(LiftAnalysis) - Constructor for class biz.sc.util.LiftCoordinates

LiftCoordinates(LiftAnalysis, LiftCoordinatesSettings) - Constructor for class biz.sc.util.LiftCoordinates

LiftCoordinatesSettings - Class in biz.sc.util

LiftCoordinatesSettings() - Constructor for class biz.sc.util.LiftCoordinatesSettings

likelihood - Static variable in class biz.sc.mm.dm.supervised.statistical.ConvergenceCriterion

Likelihood value change is less than predefined threshold

LikelihoodFunction - Interface in biz.sc.mm.dm.supervised.statistical

Interface for likelihood functions (common for all likelihood-based models).

LikelihoodModel - Interface in biz.sc.mm.dm.supervised.statistical

Interface common for all likelihood-based models (e.g.logistic regression, survival, bivariate).

LikelihoodModelStatistics - Interface in biz.sc.mm.dm.modelstats.statistical

Common interface for all likelihood-based model statistics.

likelihoodRatio - Static variable in class biz.sc.mm.dm.modelstats.statistical.ModelStatistic

Likelihood Ratio model fit statistic

likelihoodRatioPvalue - Static variable in class biz.sc.mm.dm.modelstats.statistical.ModelStatistic

Likelihood Ratio statistic p-value

likelihoodRelative - Static variable in class biz.sc.mm.dm.supervised.statistical.ConvergenceCriterion

Relative (normalized) likelihood value change is less than predefined threshold

linear - Static variable in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.NeuronActivationFunctionType

linear activation function type

linear - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ModificationFunction

linear modification

linear - Static variable in class biz.sc.mm.dm.algorithm.regression.RegressionMethod

linear regresion

LinearGAMModel - Interface in biz.sc.mm.dm.algorithm.gam

LinearGAMModelStatistics - Interface in biz.sc.mm.dm.modelstats.gam

Created by Małgorzata Kudelska on 2015-04-10.

LinearGAMSettings - Interface in biz.sc.mm.dm.algorithm.gam

LinearGAMSettingsFactory - Interface in biz.sc.mm.dm.algorithm.gam

LinearInfluenceDiagnostic - Class in biz.sc.mm.dm.modelstats.statistical.regression.linear

Enumeration of available influence diagnostics, used for identification of observations which strongly influence model parameters.

LinearMARSModel - Interface in biz.sc.mm.dm.algorithm.mars

LinearMARSModelStatistics - Interface in biz.sc.mm.dm.modelstats.mars

Created by Małgorzata Kudelska on 2015-04-13.

LinearMARSSettings - Interface in biz.sc.mm.dm.algorithm.mars

LinearMARSSettingsFactory - Interface in biz.sc.mm.dm.algorithm.mars

LinearRegressionApplyOutput - Interface in biz.sc.mm.dm.algorithm.regression.linear

Apply output specification for linear regression applying process.

LinearRegressionApplyOutputFactory - Interface in biz.sc.mm.dm.algorithm.regression.linear

Factory for LinearRegressionApplyOutput.

LinearRegressionModel - Interface in biz.sc.mm.dm.algorithm.regression.linear

Common interface for linear regression models (linear, weighted, IRLS).

LinearRegressionModelStatistics - Interface in biz.sc.mm.dm.algorithm.regression.linear

Common interface for linear regression models (linear, weighted, IRLS).

LinearRegressionOutputItem - Interface in biz.sc.mm.dm.algorithm.regression.linear

LinearRegressionOutputItemFactory - Interface in biz.sc.mm.dm.algorithm.regression.linear

Factory for LinearRegressionOutputItem.

LinearRegressionOutputType - Class in biz.sc.mm.dm.algorithm.regression.linear

Defines possible output types adequate for linear regression models.

LinearRegressionSettings - Interface in biz.sc.mm.dm.algorithm.regression.linear

Linear regression algorithm settings.

LinearRegressionSettingsFactory - Interface in biz.sc.mm.dm.algorithm.regression.linear

Factory for linear regression algorithm settings.

LinkFunctionType - Class in biz.sc.mm.dm.algorithm.regression.logistic

Link function type for logistic regression models (e.g.logit, probit).

list() - Static method in class biz.sc.mm.dm.algorithm.abm.ABMAttributeType

list() - Static method in class biz.sc.mm.dm.algorithm.abm.ABMAttributeUsage

list() - Static method in class biz.sc.mm.dm.algorithm.abm.ApproximationModelQualityMeasure

list() - Static method in class biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasure

list() - Static method in class biz.sc.mm.dm.algorithm.abm.ClassificationThresholdType

list() - Static method in class biz.sc.mm.dm.algorithm.abm.CrossValidationType

list() - Static method in class biz.sc.mm.dm.algorithm.abm.DependencySearchMode

list() - Static method in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesSelector

list() - Static method in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesType

list() - Static method in class biz.sc.mm.dm.algorithm.abm.InteractionSignificanceType

list() - Static method in class biz.sc.mm.dm.algorithm.abm.ProcessType

list() - Static method in class biz.sc.mm.dm.algorithm.abm.SamplingMode

list() - Static method in class biz.sc.mm.dm.algorithm.abm.StratificationMode

list() - Static method in class biz.sc.mm.dm.algorithm.abm.TableRole

list() - Static method in class biz.sc.mm.dm.algorithm.abm.TimePeriod

list() - Static method in class biz.sc.mm.dm.algorithm.abm.TimeSeriesModelQualityMeasure

list() - Static method in class biz.sc.mm.dm.algorithm.bivariate.BivariateLikelihoodFunctionType

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.algorithm.discriminant.CovarianceMatrixMode

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.algorithm.ensembles.AggregationType

list() - Static method in class biz.sc.mm.dm.algorithm.featureselection.InteractionsUsageOption

list() - Static method in class biz.sc.mm.dm.algorithm.featureselection.StatTest

list() - Static method in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardErrorFunctionType

Gets list of all enumeration of neuron error functions.

list() - Static method in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardLearningAlgorithmType

Gets list of all enumeration of neuron learning algorithms.

list() - Static method in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.NeuronActivationFunctionType

Gets list of all enumeration of neuron activation functions.

list() - Static method in class biz.sc.mm.dm.algorithm.kmean.KMeansInitializationPropertiesType

list() - Static method in class biz.sc.mm.dm.algorithm.kohonen.ClassificationLearningAlgorithmType

Lists all learning algorithm types.

list() - Static method in class biz.sc.mm.dm.algorithm.kohonen.ClusteringDistanceFunction

Lists all distance functions.

list() - Static method in class biz.sc.mm.dm.algorithm.kohonen.ClusteringLearningAlgorithmType

Lists all learning algorithm types.

list() - Static method in class biz.sc.mm.dm.algorithm.kohonen.KohonenMiningType

Lists all mining types.

list() - Static method in class biz.sc.mm.dm.algorithm.kohonen.ModificationFunction

Lists all modification function types.

list() - Static method in class biz.sc.mm.dm.algorithm.kohonen.SearchType

Lists all searching types.

list() - Static method in class biz.sc.mm.dm.algorithm.mcmc.DegeneratedAttributesProcessingMethod

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.algorithm.mcmc.ParameterUpdateMethod

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.algorithm.naivebayes.ImportanceMeasure

list() - Static method in class biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionOutputType

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.LinkFunctionType

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticEstimationMethod

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputType

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.MulticategoryModelType

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.algorithm.regression.RegressionMethod

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.algorithm.regression.weighted.WeightType

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.algorithm.regularizedregression.InformationCriterion

list() - Static method in class biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionPenalty

list() - Static method in class biz.sc.mm.dm.algorithm.socialnets.alg.NullHandling

list() - Static method in class biz.sc.mm.dm.algorithm.socialnets.SnaAttributeUsage

list() - Static method in class biz.sc.mm.dm.algorithm.survival.cox.ResidualType

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.algorithm.survival.cox.TieHandlingMethod

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.algorithm.survival.nonparametric.NonparametricSurvivalEstimator

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.algorithm.tree.classification.AggregatingMethod

Returns a list of all PrunningStat enumerations defined.

list() - Static method in class biz.sc.mm.dm.algorithm.tree.classification.PrunningStat

Returns a list of all PrunningStat enumerations defined.

list() - Static method in class biz.sc.mm.dm.algorithm.tree.classification.SplitEvaluation

Returns a list of all SplitEvaluation enumerations defined.

list() - Static method in class biz.sc.mm.dm.algorithm.tree.nulls.NullStrategyEnum

list() - Static method in class biz.sc.mm.dm.algorithm.tree.regression.RegressionSplitEvaluation

Returns a list of all RegressionSplitEvaluation enumerations defined.

list() - Static method in class biz.sc.mm.dm.base.TriggerFrequencyType

list() - Static method in class biz.sc.mm.dm.clustering.ClusteringOutputType

list() - Static method in class biz.sc.mm.dm.data.AttributeDataType

Returns a list of all AttributeDataType enumerations defined.

list() - Static method in class biz.sc.mm.dm.data.AttributeType

Returns a list of all AttributeType enumerations defined.

list(Class) - Static method in class biz.sc.mm.dm.Enum

Gets list of all enumaration types of given class.

list() - Static method in class biz.sc.mm.dm.modelstats.kohonen.CellType

Lists all cell types.

list() - Static method in class biz.sc.mm.dm.modelstats.statistical.ModelStatistic

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.modelstats.statistical.regression.linear.LinearInfluenceDiagnostic

Returns a list of all SizeUnit enumerations defined.

list() - Static method in class biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticInfluenceDiagnostic

Returns a list of all SizeUnit enumerations defined.

list() - Static method in class biz.sc.mm.dm.modelstats.statistical.VariableStatistic

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.modelstats.tree.BooleanOperator

Returns a list of all BooleanOperator enumerations defined.

list() - Static method in class biz.sc.mm.dm.modelstats.tree.ComparisonOperator

list() - Static method in class biz.sc.mm.dm.scoringcard.ScoringCardCategoryType

Returns an array of type object.

list() - Static method in class biz.sc.mm.dm.scoringcode.ScoringCodeType

Returns an array of type object.

list() - Static method in class biz.sc.mm.dm.SortOrder

Returns a list of all SortOder enumerations defined.

list() - Static method in class biz.sc.mm.dm.supervised.approximation.ApproximationOutputType

Returns a list of all SizeUnit enumerations defined.

list() - Static method in class biz.sc.mm.dm.supervised.classification.ClassificationOutputType

Returns a list of all ClassificationOutputType enumerations defined.

list() - Static method in class biz.sc.mm.dm.supervised.classification.ReweightingMode

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.supervised.statistical.AuxiliaryLiftEstimationMode

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.supervised.statistical.AuxiliaryStatisticsMode

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.supervised.statistical.classification.bivariate.BivariateUsageOption

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.supervised.statistical.ConvergenceCriterion

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.supervised.statistical.NonlinearOptimizationMethod

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.supervised.statistical.survival.SurvivalUsageOption

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.supervised.statistical.TargetCategoriesOrder

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.supervised.statistical.timeseries.TimeSeriesUsageOption

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.supervised.statistical.VariableSelectionMethod

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.supervised.statistical.VariableSignificanceMode

Returns the array of this enumeration elements.

list() - Static method in class biz.sc.mm.dm.TestMessageType

Returns a list of all ReportType enumerations defined.

list() - Static method in class biz.sc.mm.dm.UsageOption

Returns a list of all UsageOption enumerations defined.

list() - Static method in class biz.sc.mm.transformation.settings.BinarizedValues

Returns a list of all BinarizedValues enumerations defined.

list() - Static method in class biz.sc.mm.transformation.settings.DiscretizeType

list() - Static method in class biz.sc.mm.transformation.settings.NormType

list() - Static method in class biz.sc.mm.transformation.settings.PCACriterion

Returns an array of all criterion object.

list() - Static method in class biz.sc.mm.transformation.settings.RedundantType

Returns an array of type object.

list() - Static method in class biz.sc.mm.transformation.settings.ReplaceMissingType

Returns an array of type object.

list() - Static method in class biz.sc.mm.transformation.TransformationLanguage

Returns a list of all TransformationLanguage enumerations defined.

list() - Static method in class biz.sc.mm.transformation.TransformationType

list() - Static method in class biz.sc.mm.transformation.TransformationUsageOption

Returns a list of all TransformationUsageOption enumerations defined.

listAll() - Static method in class biz.sc.mm.dm.algorithm.kohonen.LearningAlgorithmType

Lists all learning algorithm types.

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.ABMAttributeType

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.ABMAttributeUsage

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.ApproximationModelQualityMeasure

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasure

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.ClassificationThresholdType

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.CrossValidationType

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.DependencySearchMode

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesSelector

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesType

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.InteractionSignificanceType

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.ProcessType

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.SamplingMode

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.StratificationMode

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.TableRole

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.TimePeriod

listNames() - Static method in class biz.sc.mm.dm.algorithm.abm.TimeSeriesModelQualityMeasure

listNames() - Static method in class biz.sc.mm.dm.algorithm.bivariate.BivariateLikelihoodFunctionType

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.algorithm.discriminant.CovarianceMatrixMode

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.algorithm.ensembles.AggregationType

listNames() - Static method in class biz.sc.mm.dm.algorithm.featureselection.InformationGainFilterStatistic

listNames() - Static method in class biz.sc.mm.dm.algorithm.featureselection.InteractionsUsageOption

listNames() - Static method in class biz.sc.mm.dm.algorithm.featureselection.StatTest

listNames() - Static method in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardErrorFunctionType

Gets list of all enumeration names of error functions.

listNames() - Static method in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardLearningAlgorithmType

Gets list of all enumeration names of learning algorithms.

listNames() - Static method in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.NeuronActivationFunctionType

Gets list of all enumeration names of neuron activation functions.

listNames() - Static method in class biz.sc.mm.dm.algorithm.kmean.KMeansInitializationPropertiesType

listNames() - Static method in class biz.sc.mm.dm.algorithm.kohonen.ClassificationLearningAlgorithmType

Lists all learning algorithm types names.

listNames() - Static method in class biz.sc.mm.dm.algorithm.kohonen.ClusteringDistanceFunction

Lists all distance functions names.

listNames() - Static method in class biz.sc.mm.dm.algorithm.kohonen.ClusteringLearningAlgorithmType

Lists all learning algorithm types names.

listNames() - Static method in class biz.sc.mm.dm.algorithm.kohonen.KohonenMiningType

Lists all mining types names.

listNames() - Static method in class biz.sc.mm.dm.algorithm.kohonen.LearningAlgorithmType

Lists all learning algorithm types names.

listNames() - Static method in class biz.sc.mm.dm.algorithm.kohonen.ModificationFunction

Lists all modification function types names.

listNames() - Static method in class biz.sc.mm.dm.algorithm.kohonen.SearchType

Lists all searching types names.

listNames() - Static method in class biz.sc.mm.dm.algorithm.mcmc.DegeneratedAttributesProcessingMethod

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.algorithm.mcmc.ParameterUpdateMethod

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.algorithm.naivebayes.ImportanceMeasure

listNames() - Static method in class biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionOutputType

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.LinkFunctionType

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticEstimationMethod

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputType

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.algorithm.regression.logistic.MulticategoryModelType

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.algorithm.regression.RegressionMethod

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.algorithm.regression.weighted.WeightType

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.algorithm.regularizedregression.InformationCriterion

listNames() - Static method in class biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionPenalty

listNames() - Static method in class biz.sc.mm.dm.algorithm.socialnets.alg.NullHandling

listNames() - Static method in class biz.sc.mm.dm.algorithm.socialnets.SnaAttributeUsage

listNames() - Static method in class biz.sc.mm.dm.algorithm.survival.cox.ResidualType

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.algorithm.survival.cox.TieHandlingMethod

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.algorithm.survival.nonparametric.NonparametricSurvivalEstimator

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.algorithm.tree.classification.AggregatingMethod

Returns the names of all PrunningStat enumerations defined.

listNames() - Static method in class biz.sc.mm.dm.algorithm.tree.classification.PrunningStat

Returns the names of all PrunningStat enumerations defined.

listNames() - Static method in class biz.sc.mm.dm.algorithm.tree.classification.SplitEvaluation

Returns the names of all SplitEvaluation enumerations defined.

listNames() - Static method in class biz.sc.mm.dm.algorithm.tree.nulls.NullStrategyEnum

listNames() - Static method in class biz.sc.mm.dm.algorithm.tree.regression.RegressionSplitEvaluation

Returns the names of all RegressionSplitEvaluation enumerations defined.

listNames() - Static method in class biz.sc.mm.dm.base.TriggerFrequencyType

listNames() - Static method in class biz.sc.mm.dm.clustering.ClusteringOutputType

listNames() - Static method in class biz.sc.mm.dm.data.AttributeDataType

Returns the names of all AttributeDataType enumerations defined.

listNames() - Static method in class biz.sc.mm.dm.data.AttributeType

Returns the names of all AttributeType enumerations defined.

listNames(Class) - Static method in class biz.sc.mm.dm.Enum

Gets list of all enumaration names of given class.

listNames() - Static method in class biz.sc.mm.dm.modelstats.kohonen.CellType

Lists all cell types names.

listNames() - Static method in class biz.sc.mm.dm.modelstats.statistical.InfluenceDiagnostic

Returns the names of all SortOrder enumerations defined.

listNames() - Static method in class biz.sc.mm.dm.modelstats.statistical.ModelStatistic

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.modelstats.statistical.regression.linear.LinearInfluenceDiagnostic

Returns the names of all SortOrder enumerations defined.

listNames() - Static method in class biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticInfluenceDiagnostic

Returns the names of all SortOrder enumerations defined.

listNames() - Static method in class biz.sc.mm.dm.modelstats.statistical.VariableStatistic

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.modelstats.tree.BooleanOperator

Returns the names of all BooleanOperator enumerations defined.

listNames() - Static method in class biz.sc.mm.dm.modelstats.tree.ComparisonOperator

listNames() - Static method in class biz.sc.mm.dm.scoringcard.ScalingMethod

listNames() - Static method in class biz.sc.mm.dm.scoringcard.ScoringCardCategoryType

Returns an array of type names.

listNames() - Static method in class biz.sc.mm.dm.scoringcode.ScoringCodeType

Returns an array of type names.

listNames() - Static method in class biz.sc.mm.dm.SortOrder

Returns the names of all SortOrder enumerations defined.

listNames() - Static method in class biz.sc.mm.dm.supervised.approximation.ApproximationOutputType

Returns the names of all SortOrder enumerations defined.

listNames() - Static method in class biz.sc.mm.dm.supervised.classification.ClassificationOutputType

Returns the names of all ClassificationOutputType enumerations defined.

listNames() - Static method in class biz.sc.mm.dm.supervised.classification.ReweightingMode

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.supervised.statistical.AuxiliaryLiftEstimationMode

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.supervised.statistical.AuxiliaryStatisticsMode

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.supervised.statistical.classification.bivariate.BivariateUsageOption

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.supervised.statistical.ConvergenceCriterion

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.supervised.statistical.NonlinearOptimizationMethod

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.supervised.statistical.survival.SurvivalUsageOption

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.supervised.statistical.TargetCategoriesOrder

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.supervised.statistical.timeseries.TimeSeriesUsageOption

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.supervised.statistical.VariableSelectionMethod

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.supervised.statistical.VariableSignificanceMode

Returns the names of this enumeration elements.

listNames() - Static method in class biz.sc.mm.dm.TestMessageType

Returns the names of all ReportType enumerations defined.

listNames() - Static method in class biz.sc.mm.dm.UsageOption

Returns the names of all UsageOption enumerations defined.

listNames() - Static method in class biz.sc.mm.transformation.settings.BinarizedValues

Returns the names of all BinarizedValues enumerations defined.

listNames() - Static method in class biz.sc.mm.transformation.settings.DiscretizeType

listNames() - Static method in class biz.sc.mm.transformation.settings.NormType

listNames() - Static method in class biz.sc.mm.transformation.settings.PCACriterion

Returns an array of all criterion names.

listNames() - Static method in class biz.sc.mm.transformation.settings.RedundantType

Returns an array of type names.

listNames() - Static method in class biz.sc.mm.transformation.settings.ReplaceMissingType

Returns an array of type names.

listNames() - Static method in class biz.sc.mm.transformation.TransformationLanguage

Returns the names of all TransformationLanguage enumerations defined.

listNames() - Static method in class biz.sc.mm.transformation.TransformationType

listNames() - Static method in class biz.sc.mm.transformation.TransformationUsageOption

Returns the names of all TransformationUsageOption enumerations defined.

LOG - Static variable in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesType

LogicalAttribute - Interface in biz.sc.mm.dm.data

Provides metada of the attribute at the logical level.

LogicalData - Interface in biz.sc.mm.dm.data

A LogicalData object specyfies logical properteis of attributes.

LogicalDataFactory - Interface in biz.sc.mm.dm.data

Factory for LogicalData.

logistic - Static variable in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.NeuronActivationFunctionType

logistic (sigmoidal) activation function type

logistic - Static variable in class biz.sc.mm.dm.algorithm.regression.RegressionMethod

logistic regression

LogisticEstimationMethod - Class in biz.sc.mm.dm.algorithm.regression.logistic

Logistic regression model estimation method (e.g.fisher or newton).

LogisticGAMModel - Interface in biz.sc.mm.dm.algorithm.gam

LogisticGAMModelStatistics - Interface in biz.sc.mm.dm.modelstats.gam

Created by Małgorzata Kudelska on 2015-04-10.

LogisticGAMSettings - Interface in biz.sc.mm.dm.algorithm.gam

LogisticGAMSettingsFactory - Interface in biz.sc.mm.dm.algorithm.gam

LogisticInfluenceDiagnostic - Class in biz.sc.mm.dm.modelstats.statistical.regression.logistic

Enumeration of available influence diagnostics, used for identification of observations which strongly influence model parameters.

LogisticMARSModel - Interface in biz.sc.mm.dm.algorithm.mars

LogisticMARSModelStatistics - Interface in biz.sc.mm.dm.modelstats.mars

LogisticMARSSettings - Interface in biz.sc.mm.dm.algorithm.mars

LogisticMARSSettingsFactory - Interface in biz.sc.mm.dm.algorithm.mars

LogisticRegressionApplyOutput - Interface in biz.sc.mm.dm.algorithm.regression.logistic

Apply output specification for logistic regression applying process.

LogisticRegressionApplyOutputFactory - Interface in biz.sc.mm.dm.algorithm.regression.logistic

Factory for LogisticRegressionApplyOutput.

LogisticRegressionModel - Interface in biz.sc.mm.dm.algorithm.regression.logistic

Interface common for all logistic regression models (Logit/Probit/Fisher-Score).

LogisticRegressionModelStatistics - Interface in biz.sc.mm.dm.modelstats.statistical.regression.logistic

Model statistics common for all logistic regression models.

LogisticRegressionOutputItem - Interface in biz.sc.mm.dm.algorithm.regression.logistic

Defines logistic regression output item.

LogisticRegressionOutputItemFactory - Interface in biz.sc.mm.dm.algorithm.regression.logistic

Factory for LogisticRegressionOutputItem.

LogisticRegressionOutputType - Class in biz.sc.mm.dm.algorithm.regression.logistic

Defines possible output types adequate for logistic regression models.

LogisticRegressionSettings - Interface in biz.sc.mm.dm.algorithm.regression.logistic

Logistic regression algorithm settings.

LogisticRegressionSettingsFactory - Interface in biz.sc.mm.dm.algorithm.regression.logistic

Factory for logistic regression algorithm settings.

logit - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.LinkFunctionType

Logit logistic model

LogLikelihood - Interface in biz.sc.mm.dm.supervised.statistical

lvq - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ClassificationLearningAlgorithmType

LVQ algorithm type

lvq21 - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ClassificationLearningAlgorithmType

LVQ 2.1 algorithm type

LVQ21Algorithm - Interface in biz.sc.mm.dm.algorithm.kohonen

Interface for LVQ 2.1 algorithm.

lvq3 - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ClassificationLearningAlgorithmType

LVQ 3 algorithm type

LVQ3Algorithm - Interface in biz.sc.mm.dm.algorithm.kohonen

Interface for LVQ 3 algorithm.

LVQAlgorithm - Interface in biz.sc.mm.dm.algorithm.kohonen

Interface for LVQ algorithm.

M

M_PROB_KEY - Static variable in interface biz.sc.mm.dm.algorithm.deduplication.ProbabilityMatchingFunctionSettings

AttributeUsageSet key for the probability of a non-match if the values are equal

mad - Static variable in class biz.sc.mm.dm.algorithm.tree.regression.RegressionSplitEvaluation

MAE - Static variable in class biz.sc.mm.dm.algorithm.abm.ApproximationModelQualityMeasure

MAE - Static variable in class biz.sc.mm.dm.algorithm.abm.TimeSeriesModelQualityMeasure

mae - Static variable in class biz.sc.mm.dm.algorithm.tree.classification.PrunningStat

main(String[]) - Static method in class biz.sc.mm.dm.modelstats.tree.BooleanOperator

testing

manhattan - Static variable in class biz.sc.mm.transformation.settings.NormType

MANUAL - Static variable in class biz.sc.mm.dm.algorithm.abm.SamplingMode

MANUAL_PROBABILITY - Static variable in class biz.sc.mm.dm.algorithm.abm.ClassificationThresholdType

ManuallyModifiedModel - Interface in biz.sc.mm.dm.supervised.statistical

Common interface for all models whose parameters can be manually modified by user.

Map - Interface in biz.sc.mm.dm.modelstats.kohonen

Map interface.

MAPE - Static variable in class biz.sc.mm.dm.algorithm.abm.ApproximationModelQualityMeasure

MapItem - Interface in biz.sc.mm.dm.scoringcard

mars - Static variable in class biz.sc.mm.transformation.TransformationType

MARSModel - Interface in biz.sc.mm.dm.algorithm.mars

MARSModelBase - Interface in biz.sc.mm.dm.algorithm.mars

MARSModelStatistics - Interface in biz.sc.mm.dm.modelstats.mars

MARSParameters - Interface in biz.sc.mm.transformation.parameters

MARSSettings - Interface in biz.sc.mm.dm.algorithm.mars

martingale - Static variable in class biz.sc.mm.dm.algorithm.survival.cox.ResidualType

martingale residual

MatchingTask - Interface in biz.sc.mm.dm.algorithm.deduplication

Matching task is used to execute the matching process.

MatchingTaskFactory - Interface in biz.sc.mm.dm.algorithm.deduplication

A factory class for creating MatchingTask objects.

Max - Static variable in class biz.sc.mm.dm.algorithm.socialnets.alg.NullHandling

MAX_POINTS - Static variable in interface biz.sc.mm.dm.scoringcard.ScoringCardData

maximum - Static variable in class biz.sc.mm.transformation.settings.NormType

maxPointsScaling - Static variable in class biz.sc.mm.dm.scoringcard.ScalingMethod

maxRedundant - Static variable in class biz.sc.mm.transformation.settings.RedundantType

MCMCLogisticRegressionModel - Interface in biz.sc.mm.dm.algorithm.mcmc.logistic

MCMC logistic regression model.

MCMCLogisticRegressionModelStatistics - Interface in biz.sc.mm.dm.modelstats.mcmc.logistic

Model statistics for MCMC logistic regression model.

MCMCLogisticRegressionSettings - Interface in biz.sc.mm.dm.algorithm.mcmc.logistic

MCMCLogisticRegressionSettingsFactory - Interface in biz.sc.mm.dm.algorithm.mcmc.logistic

Factory for MCMC logistic regression algorithm settings.

MCMCStatistics - Interface in biz.sc.mm.dm.modelstats.mcmc

Gets MCMC model statistics

MCP - Static variable in class biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionPenalty

mdlDiscretization - Static variable in class biz.sc.mm.transformation.settings.DiscretizeType

mean - Static variable in class biz.sc.mm.dm.algorithm.discriminant.CovarianceMatrixMode

Mean of two covariance matrices

mean - Static variable in class biz.sc.mm.transformation.settings.ReplaceMissingType

Mean type.

meansDifference - Static variable in class biz.sc.mm.dm.algorithm.tree.regression.RegressionSplitEvaluation

median - Static variable in class biz.sc.mm.dm.algorithm.mcmc.ParameterUpdateMethod

Model parameters are set to sample median.

median - Static variable in class biz.sc.mm.transformation.settings.ReplaceMissingType

Median type.

method1 - Static variable in class biz.sc.mm.dm.algorithm.tree.classification.AggregatingMethod

method2 - Static variable in class biz.sc.mm.dm.algorithm.tree.classification.AggregatingMethod

Min - Static variable in class biz.sc.mm.dm.algorithm.socialnets.alg.NullHandling

MIN_POINTS - Static variable in interface biz.sc.mm.dm.scoringcard.ScoringCardData

minimum - Static variable in class biz.sc.mm.transformation.settings.NormType

MINIMUM_SIMILARITY_KEY - Static variable in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

AttributeUsageSet key for similarity in case of comparisons with NULL

MiningAlgorithmSettings - Interface in biz.sc.mm.dm.base

MiningAlgorithmSettings object instance interface.

MiningAlgorithmSettingsWithTransformation - Interface in biz.sc.mm.dm.base

MiningApplyOutput - Interface in biz.sc.mm.dm.task

MiningApplyOutput object instance interface.

MiningApplyTask - Interface in biz.sc.mm.dm.task

MiningApplyTask object instance interface.

MiningApplyTaskFactory - Interface in biz.sc.mm.dm.task

Factory for MiningApplyTask.

MiningBuildTask - Interface in biz.sc.mm.dm.task

This describes a task that builds a mining model.

MiningBuildTaskFactory - Interface in biz.sc.mm.dm.task

Factory for MiningBuildTask.

MiningFunctionSettings - Interface in biz.sc.mm.dm.base

MiningFunctionSettings object instance interface.

MiningModel - Interface in biz.sc.mm.dm.base

MiningModel object instance interface.

MiningModelApplyTask - Interface in biz.sc.mm.dm.task

MiningModelScoringCodeBody - Interface in biz.sc.mm.dm.scoringcode

MiningResult - Interface in biz.sc.mm.dm.base

MiningResult object instance interface.

MiningTestResult - Interface in biz.sc.mm.dm.supervised

This represents the result of a test task applied to a supervised model.

MiningTestTask - Interface in biz.sc.mm.dm.supervised

This represents a mining task that is used to check some aspect of the quality of a supervised model.

minRedundant - Static variable in class biz.sc.mm.transformation.settings.RedundantType

modal - Static variable in class biz.sc.mm.transformation.settings.ReplaceMissingType

mode - Static variable in class biz.sc.mm.dm.algorithm.mcmc.ParameterUpdateMethod

Model parameters are set to sample mode.

MODEL - Static variable in interface biz.sc.mm.dm.supervised.MiningTestResult

modelFull - Static variable in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

full model (intercept, active and obligatory variables)

modelIntcp - Static variable in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

model containing only intercept

modelOblig - Static variable in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

model containing intercept and obligatory variables

ModelOutputItem - Interface in biz.sc.mm.dm.task

Base interface for all output items created using mining model.

ModelQualityMeasures - Interface in biz.sc.mm.dm.algorithm.abm

ModelResult - Interface in biz.sc.mm.dm.algorithm.abm

ModelStatistic - Class in biz.sc.mm.dm.modelstats.statistical

Model statistics common for all statistical models.

ModelStatistics - Interface in biz.sc.mm.dm.base

ModelStatistics objects contains model representation e.g. for visualization purposes.

ModelStatisticsResult - Interface in biz.sc.mm.dm.base

This special type od MiningResults use ModelStatistics to store the results.

modelStatSize() - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionResults

Gets the total number of model statistics.

ModelToCardMap - Interface in biz.sc.mm.dm.scoringcard

ModelTranslator - Interface in biz.sc.mm.dm.algorithm.abm

ModelTranslatorFactory - Interface in biz.sc.mm.dm.algorithm.abm

ModificationFunction - Class in biz.sc.mm.dm.algorithm.kohonen

Modification functions types enumeration.

Module - Interface in biz.sc.mm.dm.algorithm.abm

MONTH - Static variable in class biz.sc.mm.dm.algorithm.abm.TimePeriod

MONTH - Static variable in class biz.sc.mm.dm.base.TriggerFrequencyType

moveAttributesToCache() - Method in interface biz.sc.mm.dm.data.AttributeSet

Moves all attributes from set to cache.

moveDown(String) - Method in interface biz.sc.mm.dm.data.AttributeSet

Moves attribute with given name one place down the attribute list.

moveUp(String) - Method in interface biz.sc.mm.dm.data.AttributeSet

Moves attribute with given name one place up the attribute list.

MSE - Static variable in class biz.sc.mm.dm.algorithm.abm.TimeSeriesModelQualityMeasure

MSSQL - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

MsSQL database.

multi - Static variable in class biz.sc.mm.transformation.TransformationType

MultiAttribute - Interface in biz.sc.mm.dm.data

This Attribute extension is used by binarize transformation to indicate which value of the attribute is redundant.

MultiAttributes - Interface in biz.sc.mm.transformation.settings

Contains list of CompoundAttribute object.

MulticategoryModelType - Class in biz.sc.mm.dm.algorithm.regression.logistic

Multicategory model type for logistic regression models (e.g.cumulative logit/probit).

MultipleTreeModelStatistics - Interface in biz.sc.mm.dm.modelstats.tree

MultiTransformationParameters - Interface in biz.sc.mm.transformation.parameters

MYSQL - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

MySQL database.

mySQLDriver - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

MySQL driver.

mySQLURL - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

MySQL URL.

N

n() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

Returns the number of observations used.

n() - Method in interface biz.sc.mm.dm.supervised.statistical.InputDataInfo

Returns number of observations (rows)

NaiveBayesModel - Interface in biz.sc.mm.dm.algorithm.naivebayes

NaiveBayesModelStatistics - Interface in biz.sc.mm.dm.modelstats.naivebayes

NaiveBayesSettings - Interface in biz.sc.mm.dm.algorithm.naivebayes

NaiveBayesSettingsFactory - Interface in biz.sc.mm.dm.algorithm.naivebayes

NAME - Static variable in interface biz.sc.mm.transformation.settings.MultiAttributes

Keys

NamePair - Class in biz.sc.util

NamePair(String, String) - Constructor for class biz.sc.util.NamePair

negativeValue - Variable in class biz.sc.mm.transformation.settings.BinarizedValues

NetworkAttributes - Interface in biz.sc.mm.dm.algorithm.socialnets.visual

NetworkComponent - Interface in biz.sc.mm.dm.algorithm.socialnets

NetworkObject - Interface in biz.sc.mm.dm.algorithm.socialnets

NeuralLayer - Interface in biz.sc.mm.dm.algorithm.feedforwardneuralnet

Hidden and output neural layer interface.

NeuralLayerFactory - Interface in biz.sc.mm.dm.algorithm.feedforwardneuralnet

Factory for neural layers.

NeuralNetworkModelStatistics - Interface in biz.sc.mm.dm.modelstats.feedforwardneuralnet

Statistics of neural network model.

NeuronActivationFunctionType - Class in biz.sc.mm.dm.algorithm.feedforwardneuralnet

Types of activation function of neuron.

newton - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticEstimationMethod

Newton-Raphson likelihood maximization model

NO_SUBSET_FOR_NULLS - Static variable in interface biz.sc.mm.dm.modelstats.tree.Split

If there is not distinguished subset for null cases.

noAnswer - Static variable in class biz.sc.mm.dm.scoringcard.ScoringCardCategoryType

Node - Interface in biz.sc.mm.dm.modelstats.tree

Data structure for a single general tree node.

NODE_ID - Static variable in class biz.sc.mm.dm.algorithm.socialnets.SnaAttributeUsage

NodeFactory - Interface in biz.sc.mm.dm.modelstats.tree

Factory for tree nodes.

nodeId - Static variable in class biz.sc.mm.dm.supervised.classification.ClassificationOutputType

When Node id is selected, classifier will assign model structure id with current input vector.

noInformation - Static variable in class biz.sc.mm.dm.scoringcard.ScoringCardCategoryType

NOMINAL - Static variable in class biz.sc.mm.dm.algorithm.socialnets.SnaAttributeUsage

NONE - Static variable in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesSelector

NONE - Static variable in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesType

NONE - Static variable in class biz.sc.mm.dm.algorithm.abm.StratificationMode

None - Static variable in class biz.sc.mm.dm.algorithm.socialnets.alg.NullHandling

NONE - Static variable in class biz.sc.mm.dm.data.AttribMapping

NonlinearOptimizationMethod - Class in biz.sc.mm.dm.supervised.statistical

Non-linear optimization method variant (e.g.nrBasic, nrRidgeStabilization).

NonparametricSurvivalEstimator - Class in biz.sc.mm.dm.algorithm.survival.nonparametric

Nonparametric survival estimation method: product-limit(Kaplan-Meier) or life-table.

NonparametricSurvivalModel - Interface in biz.sc.mm.dm.supervised.survival

Interface for nonparametric survival models.

NonparametricSurvivalSettings - Interface in biz.sc.mm.dm.algorithm.survival.nonparametric

Nonparametric survival algorithm settings.

NonparametricSurvivalSettingsFactory - Interface in biz.sc.mm.dm.algorithm.survival.nonparametric

Factory for nonparametric survival algorithm settings.

noRedundant - Static variable in class biz.sc.mm.transformation.settings.RedundantType

noReweighting - Static variable in class biz.sc.mm.dm.supervised.classification.ReweightingMode

Observations won't be reweighted & weights will be ignored

normalize - Static variable in class biz.sc.mm.transformation.TransformationType

normalizeObjectType(Object, AttributeDataType) - Static method in class biz.sc.mm.dm.data.AttributeDataType

Converts input object to proper type specified by attribute

NormalizeParameters - Interface in biz.sc.mm.transformation.parameters

NormType - Class in biz.sc.mm.transformation.settings

NormType() - Constructor for class biz.sc.mm.transformation.settings.NormType

NormType(String, int) - Constructor for class biz.sc.mm.transformation.settings.NormType

NoSuchAliasException - Exception in biz.sc.mm.dm.data

Exceptions that may occur if given alias is not found.

NoSuchAliasException() - Constructor for exception biz.sc.mm.dm.data.NoSuchAliasException

Constructs empty NoSuchAliasException.

NoSuchAliasException(String) - Constructor for exception biz.sc.mm.dm.data.NoSuchAliasException

Constructs a NoSuchAliasException with the specified detail message.

NoSuchAliasException(String, Throwable) - Constructor for exception biz.sc.mm.dm.data.NoSuchAliasException

Constructs a NoSuchAliasException with the specified detail message and cause.

NoSuchAliasException(Throwable) - Constructor for exception biz.sc.mm.dm.data.NoSuchAliasException

Constructs a NoSuchAliasException with the specified cause.

not - Static variable in class biz.sc.mm.dm.modelstats.tree.BooleanOperator

NOT_SPECIFIED - Static variable in class biz.sc.mm.dm.algorithm.abm.ABMAttributeType

notEqual - Static variable in class biz.sc.mm.dm.modelstats.tree.ComparisonOperator

notIn - Static variable in class biz.sc.mm.dm.modelstats.tree.ComparisonOperator

notSpecified - Static variable in class biz.sc.mm.dm.data.AttributeType

Enumeration constant corresponding to literal not specyified.

notSpecifiedType - Static variable in class biz.sc.mm.dm.data.AttributeDataType

The type of this attribute values is not specyfied.

nrBasic - Static variable in class biz.sc.mm.dm.supervised.statistical.NonlinearOptimizationMethod

Newton-Raphson with step halving

nrFast - Static variable in class biz.sc.mm.dm.supervised.statistical.NonlinearOptimizationMethod

NULL_SIMILARITY_KEY - Static variable in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Column with the similarity in case of comparisons with NULL.

NullHandling - Class in biz.sc.mm.dm.algorithm.socialnets.alg

NullStrategy - Interface in biz.sc.mm.dm.algorithm.tree.nulls

This interface allows for changing the way the NULL values are being taken care of.

NullStrategyEnum - Class in biz.sc.mm.dm.algorithm.tree.nulls

This is an enumeration used for choosing the NullStrategy object.

NullStrategyEnum(String, int) - Constructor for class biz.sc.mm.dm.algorithm.tree.nulls.NullStrategyEnum

NullStrategyFactory - Class in biz.sc.mm.dm.algorithm.tree.nulls

Creates the NullStrategy object according to the given id value.

NullStrategyFactory() - Constructor for class biz.sc.mm.dm.algorithm.tree.nulls.NullStrategyFactory

NUMBER - Static variable in class biz.sc.mm.transformation.settings.PCACriterion

Number criterion.

numberToDouble(Object) - Static method in class biz.sc.mm.dm.data.AttributeDataType

If value is a number, it will be converted to Double.

NUMERICAL - Static variable in class biz.sc.mm.dm.algorithm.abm.ABMAttributeType

NUMERICAL - Static variable in class biz.sc.mm.dm.algorithm.socialnets.SnaAttributeUsage

numerical - Static variable in class biz.sc.mm.dm.data.AttributeType

Enumeration constant corresponding to literal numerical.

NumericalAttributeProperties - Interface in biz.sc.mm.dm.data

Deprecated.

NumericalSplitStats - Interface in biz.sc.mm.dm.modelstats.tree

Split statistics for numerical split.

NumericalStatistics - Interface in biz.sc.mm.dm.statistics

A NumericalStatistics interface contains numerical statistical properties of an attribute.

O

ObjectPair - Class in biz.sc.util

ObjectPair(Object, Object) - Constructor for class biz.sc.util.ObjectPair

OBLIGATORY - Static variable in class biz.sc.mm.dm.algorithm.abm.ABMAttributeUsage

obligatory - Static variable in class biz.sc.mm.dm.UsageOption

Indicates that the attribute has to be in the model, it can not be removed by variable selection algorithm.

OFF - Static variable in class biz.sc.mm.dm.algorithm.abm.DependencySearchMode

off - Static variable in class biz.sc.mm.dm.supervised.statistical.AuxiliaryLiftEstimationMode

No auxiliary lifts will be created.

off - Static variable in class biz.sc.mm.dm.supervised.statistical.AuxiliaryStatisticsMode

No auxiliary statistics will be stored.

ON - Static variable in class biz.sc.mm.dm.algorithm.abm.DependencySearchMode

optConjugateGradient - Static variable in class biz.sc.mm.dm.supervised.statistical.NonlinearOptimizationMethod

Newton-Raphson with ridge stabilization

optFDNewton - Static variable in class biz.sc.mm.dm.supervised.statistical.NonlinearOptimizationMethod

optimal - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ClusteringLearningAlgorithmType

optimal algorithm type

OptimalAlgorithm - Interface in biz.sc.mm.dm.algorithm.kohonen

Interface for optimal algorithm.

Optimization - Interface in biz.sc.mm.dm.algorithm.likelihood.optimization

Interface for non-linear optimization methods (e.g.for likelihood-based estimators).

OptimizationAlgorithmSettings - Interface in biz.sc.mm.dm.supervised.statistical

Common settings for nonlinear optimization methods.

OptimizationAlgorithmSettingsFactory - Interface in biz.sc.mm.dm.supervised.statistical

Factory for nonlinear optimization algorithm settings.

OptimizationFactory - Interface in biz.sc.mm.dm.algorithm.likelihood.optimization

Factory for optimization algorithms.

optimize() - Method in interface biz.sc.mm.dm.algorithm.likelihood.optimization.Optimization

Runs optimization method till convergence (with singularityCheck turned on).

optimize(double[]) - Method in interface biz.sc.mm.dm.algorithm.likelihood.optimization.Optimization

Runs optimization method starting from the point x0 (with singularityCheck turned on).

optNewton - Static variable in class biz.sc.mm.dm.supervised.statistical.NonlinearOptimizationMethod

optQuasiNewton - Static variable in class biz.sc.mm.dm.supervised.statistical.NonlinearOptimizationMethod

or - Static variable in class biz.sc.mm.dm.modelstats.tree.BooleanOperator

ORACLE - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

Oracle database.

ordinal - Static variable in class biz.sc.mm.dm.data.AttributeType

Enumeration constant corresponding to literal ordinal.

outlier - Static variable in class biz.sc.mm.transformation.TransformationType

OutlierParameters - Interface in biz.sc.mm.transformation.parameters

Outliers - Interface in biz.sc.mm.dm.algorithm.abm

OutliersFactory - Interface in biz.sc.mm.dm.algorithm.abm

OutliersResult - Interface in biz.sc.mm.dm.algorithm.abm

OVERSAMPLING - Static variable in class biz.sc.mm.dm.algorithm.abm.StratificationMode

P

p() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

Returns the number of model parameters.

p() - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalModel

Returns the number of parameters (active or obligatory) in the current model

parameterRelative - Static variable in class biz.sc.mm.dm.supervised.statistical.ConvergenceCriterion

Parameters vector change is less than predefined threshold

ParameterUpdateMethod - Class in biz.sc.mm.dm.algorithm.mcmc

Model parameters update method for MCMC logistic regression.

ParametricSurvivalModel - Interface in biz.sc.mm.dm.supervised.survival

Common interface for all semiparametric and parametric survival models.

pca - Static variable in class biz.sc.mm.transformation.TransformationType

PCACriterion - Class in biz.sc.mm.transformation.settings

A PCACriterion class specify criterion type.

PCAParameters - Interface in biz.sc.mm.transformation.parameters

pdoScaling - Static variable in class biz.sc.mm.dm.scoringcard.ScalingMethod

PEARSON - Static variable in class biz.sc.mm.dm.algorithm.featureselection.StatTest

pearsonResidual - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputType

The Pearson residuals for a given observation.

pearsonResidual - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.logistic.LogisticInfluenceDiagnostic

The Pearson residuals for a given observation.

PersistentObject - Interface in biz.sc.mm.dm

PersistentObject can be stored inside repository as an independent object.

PhysicalAttribute - Interface in biz.sc.mm.dm.data

This class describes the representation of physical data column to be used in mining operations.

PhysicalData - Interface in biz.sc.mm.dm.data

Extension of AbstracPhysicalData which adds URI to the source of data.

PhysicalDataFactory - Interface in biz.sc.mm.dm.data

Factory for PhysicalData.

PlotAnalysis - Interface in biz.sc.mm.dm.supervised.classification

Data provided for plots of statistics (e.g.

PMMLEnabledModel - Interface in biz.sc.mm.dm.supervised.statistical

Interface for models which can be exported to PMML file.

positiveValue - Variable in class biz.sc.mm.transformation.settings.BinarizedValues

PRECISION - Static variable in class biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasure

Predicate - Interface in biz.sc.mm.dm.modelstats.tree

Predicate serves as the common representation for various types of predicates.

predictedCategory - Static variable in class biz.sc.mm.dm.supervised.classification.ClassificationOutputType

Represents category value output type.

predictedValue - Static variable in class biz.sc.mm.dm.supervised.approximation.ApproximationOutputType

Output will contain predicted value of the target attribute.

predLowerBound - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputType

Lower bound of the confidence interval for the predicted probability.

predUpperBound - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputType

Upper bound of the confidence interval for the predicted probability.

predVariance - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionOutputType

Variance of the predicted probability for a given observation.

preselectionStatName - Static variable in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModelStatistics

The name of the univariate-model preselection statistics

preselectionStatName - Static variable in interface biz.sc.mm.dm.modelstats.statistical.LikelihoodModelStatistics

The name of the univariate-model preselection statistics

press - Static variable in class biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionOutputType

The PRESS statistic for a given observation.

press - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.linear.LinearInfluenceDiagnostic

The PRESS statistic for a given observation.

print() - Method in interface biz.sc.mm.dm.algorithm.likelihood.data.DataMapper

Prints basic DataMapper informations.

probability - Static variable in class biz.sc.mm.dm.clustering.ClusteringOutputType

Output will contain double value with probability of decision.

probability - Variable in class biz.sc.mm.dm.clustering.ClusterScoreResult

probability of the input record to belong to that cluster [0, 1]

probability - Static variable in class biz.sc.mm.dm.supervised.classification.ClassificationOutputType

Output will contain double value with probability of such classification decision.

ProbabilityMatchingAlgorithmSettings - Interface in biz.sc.mm.dm.algorithm.deduplication

Algorithm settings for probabilistic matching (Fellegi & Sunter's like).

ProbabilityMatchingAlgorithmSettingsFactory - Interface in biz.sc.mm.dm.algorithm.deduplication

A factory for Probability Matching Algorithm Settings.

ProbabilityMatchingFunctionSettings - Interface in biz.sc.mm.dm.algorithm.deduplication

A Function Settings interface for the probability matching algorithm.

ProbabilityMatchingFunctionSettingsFactory - Interface in biz.sc.mm.dm.algorithm.deduplication

A factory for the Probability Matching Function Settings class.

probit - Static variable in class biz.sc.mm.dm.algorithm.regression.logistic.LinkFunctionType

Probit logistic model

process(String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.customcode.StringProcessor

Does the string transformation defined by the user.

ProcessType - Class in biz.sc.mm.dm.algorithm.abm

PROP_CATALOG - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

PROP_COMMENT - Static variable in interface biz.sc.mm.dm.data.AttributeUsageSet

PROP_COUNT - Static variable in interface biz.sc.mm.dm.statistics.AttributeStatistics

PROP_DB_CATALOG_INDEX - Static variable in interface biz.sc.mm.dm.data.PhysicalData

PROP_DB_DRIVER_INDEX - Static variable in interface biz.sc.mm.dm.data.PhysicalData

PROP_DB_PASSWORD_INDEX - Static variable in interface biz.sc.mm.dm.data.PhysicalData

PROP_DB_SCHEMA_INDEX - Static variable in interface biz.sc.mm.dm.data.PhysicalData

PROP_DB_URL_INDEX - Static variable in interface biz.sc.mm.dm.data.PhysicalData

PROP_DB_USER_INDEX - Static variable in interface biz.sc.mm.dm.data.PhysicalData

PROP_DISTINCT - Static variable in interface biz.sc.mm.dm.statistics.AttributeStatistics

PROP_DRIVER - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

PROP_EXCEEDED - Static variable in interface biz.sc.mm.dm.statistics.AttributeStatistics

PROP_GROUP - Static variable in interface biz.sc.mm.dm.data.AttributeUsageSet

PROP_INDEX_BUILD_DATA_ID - Static variable in interface biz.sc.mm.dm.base.MiningModel

Index of build data identifier in properties.

PROP_INDEX_BUILD_VALID_ID - Static variable in interface biz.sc.mm.dm.base.MiningModel

Index of valid data identifier in properties.

PROP_INDEX_DATA_ID - Static variable in interface biz.sc.mm.dm.supervised.MiningTestResult

Index of test data id in properties for this object

PROP_INDEX_MODEL_ID - Static variable in interface biz.sc.mm.dm.scoringcode.ScoringCodeModel

Index of model id in properties for this object

PROP_INDEX_MODEL_ID - Static variable in interface biz.sc.mm.dm.supervised.MiningTestResult

Index of model id in properties for this object

PROP_INDEX_MODEL_STATS_CLASS - Static variable in interface biz.sc.mm.dm.base.MiningModel

Index of model statistics in properties.

PROP_KURTOSIS - Static variable in interface biz.sc.mm.dm.statistics.AttributeStatistics

PROP_MAX - Static variable in interface biz.sc.mm.dm.statistics.AttributeStatistics

PROP_MEAN - Static variable in interface biz.sc.mm.dm.statistics.AttributeStatistics

PROP_MEDIAN - Static variable in interface biz.sc.mm.dm.statistics.AttributeStatistics

PROP_MIN - Static variable in interface biz.sc.mm.dm.statistics.AttributeStatistics

PROP_MODAL - Static variable in interface biz.sc.mm.dm.statistics.AttributeStatistics

PROP_NULL - Static variable in interface biz.sc.mm.dm.statistics.AttributeStatistics

PROP_NULL_PRCT - Static variable in interface biz.sc.mm.dm.statistics.AttributeStatistics

PROP_PASSWORD - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

PROP_SCHEMA - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

PROP_SKEWNESS - Static variable in interface biz.sc.mm.dm.statistics.AttributeStatistics

PROP_SQL_STATEMENT - Static variable in interface biz.sc.mm.dm.data.PhysicalData

PROP_STD - Static variable in interface biz.sc.mm.dm.statistics.AttributeStatistics

PROP_TABLE_INDEX - Static variable in interface biz.sc.mm.dm.data.PhysicalData

PROP_URL - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

PROP_USER - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

PrunningStat - Class in biz.sc.mm.dm.algorithm.tree.classification

ptotal() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

Returns the total number of available parameters (full model case).

ptotal() - Method in interface biz.sc.mm.dm.supervised.statistical.InputDataInfo

Returns total number of parameters (without intercepts)

Q

quadratic - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ModificationFunction

quadratic modification

quadraticReciprocal - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ModificationFunction

quadratic reciprocal modification

qualityOfFit - Variable in class biz.sc.mm.dm.clustering.ClusterScoreResult

measure of how well the input record fits in the predicted cluster [0, 1]

quantileDiscretization - Static variable in class biz.sc.mm.transformation.settings.DiscretizeType

quickProp - Static variable in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardLearningAlgorithmType

quick backpropagation (quickprop) algorithm type

R

R_SQUARED - Static variable in class biz.sc.mm.dm.algorithm.abm.ApproximationModelQualityMeasure

random - Static variable in class biz.sc.mm.dm.algorithm.kohonen.SearchType

random local searching

randomDataPoints - Static variable in class biz.sc.mm.dm.algorithm.kmean.KMeansInitializationPropertiesType

Random points within learning data.

randomDataPointsWithDifferencesMaximization - Static variable in class biz.sc.mm.dm.algorithm.kmean.KMeansInitializationPropertiesType

Random points within learning data according to maximization total sum of euclidean distances between points.

randomPointsWithinDataCube - Static variable in class biz.sc.mm.dm.algorithm.kmean.KMeansInitializationPropertiesType

Random points within data hypercube, i.e.

randomRedundant - Static variable in class biz.sc.mm.transformation.settings.RedundantType

RankItem - Interface in biz.sc.mm.dm.task

Output item, which implements this interface will create output value for specified rank.

RAW - Static variable in class biz.sc.mm.dm.algorithm.abm.TableRole

RECALL - Static variable in class biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasure

RECIPROCAL - Static variable in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesType

reciprocal - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ModificationFunction

reciprocal modification

REDUNDANT - Static variable in interface biz.sc.mm.transformation.settings.BinarizeAttributes

Key for redundant value.

RedundantType - Class in biz.sc.mm.transformation.settings

register(DiscretizeType) - Static method in class biz.sc.mm.transformation.settings.DiscretizeType

register(NormType) - Static method in class biz.sc.mm.transformation.settings.NormType

register(TransformationType) - Static method in class biz.sc.mm.transformation.TransformationType

RegressionMethod - Class in biz.sc.mm.dm.algorithm.regression

Regression method type enumeration (linear, weighted, IRLS or logistic).

RegressionModel - Interface in biz.sc.mm.dm.algorithm.regression

Common interface for all regression-based models (e.g. linear, weighted, logistic).

RegressionModelFactory - Interface in biz.sc.mm.dm.algorithm.regression

Factory for manual creation of linear and logistic regression models.

RegressionModelStatistics - Interface in biz.sc.mm.dm.modelstats.statistical.regression

Model statistics common for all regression models.

RegressionNode - Interface in biz.sc.mm.dm.modelstats.tree.regression

RegressionResults - Interface in biz.sc.mm.dm.algorithm.regression

Regression model results (analogous to statistical model statistics).

RegressionSplitEvaluation - Class in biz.sc.mm.dm.algorithm.tree.regression

RegressionTreeSettings - Interface in biz.sc.mm.dm.algorithm.tree.regression

RegressionTreeSettingsFactory - Interface in biz.sc.mm.dm.algorithm.tree.regression

RegularizedLinearRegressionModel - Interface in biz.sc.mm.dm.algorithm.regularizedregression

RegularizedLinearRegressionModelStatistics - Interface in biz.sc.mm.dm.modelstats.regularizedregression

RegularizedLinearRegressionSettings - Interface in biz.sc.mm.dm.algorithm.regularizedregression

RegularizedLinearRegressionSettingsFactory - Interface in biz.sc.mm.dm.algorithm.regularizedregression

RegularizedLogisticRegressionModel - Interface in biz.sc.mm.dm.algorithm.regularizedregression

RegularizedLogisticRegressionModelStatistics - Interface in biz.sc.mm.dm.modelstats.regularizedregression

RegularizedLogisticRegressionSettings - Interface in biz.sc.mm.dm.algorithm.regularizedregression

RegularizedLogisticRegressionSettingsFactory - Interface in biz.sc.mm.dm.algorithm.regularizedregression

RegularizedRegressionModel - Interface in biz.sc.mm.dm.algorithm.regularizedregression

RegularizedRegressionModelStatistics - Interface in biz.sc.mm.dm.modelstats.regularizedregression

RegularizedRegressionPenalty - Class in biz.sc.mm.dm.algorithm.regularizedregression

RegularizedRegressionSettings - Interface in biz.sc.mm.dm.algorithm.regularizedregression

remove(AttribMapping.Entry) - Method in class biz.sc.mm.dm.data.AttribMapping

remove(int) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSubset

removeAlias(String) - Method in class biz.sc.mm.dm.data.AliasRegistry

Removes given alias from registry.

removeAliasRegistryListener(AliasRegistryListener) - Method in class biz.sc.mm.dm.data.AliasRegistry

Adds listener for AliasRegistry object.

removeAllAliases() - Method in class biz.sc.mm.dm.data.AliasRegistry

Removes all aliased from registry (including default alias).

removeAllAttributes() - Method in interface biz.sc.mm.dm.data.AttributeSet

Removes all attributes from the set.

removeAllAttributes() - Method in interface biz.sc.mm.dm.data.AttributeSetListener

removeAttribute(String) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseSignature

removeAttribute(String) - Method in interface biz.sc.mm.dm.data.AbstractPhysicalData

Removes attribute with given name.

removeAttribute(String) - Method in interface biz.sc.mm.dm.data.AttributeSet

Removes attribute with given name from the set.

removeAttribute(T) - Method in interface biz.sc.mm.dm.data.AttributeSetListener

removeAttribute(String) - Method in interface biz.sc.mm.dm.data.AttributeUsageSet

Removes attribute usage with given name.

removeAttribute(String) - Method in interface biz.sc.mm.dm.data.LogicalData

Removes attribute with given name.

removeAttribute(String) - Method in interface biz.sc.mm.dm.data.StatisticsAttributeSet

Removes attribute with given name.

removeAttribute(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Remove an attribute name from a list of attributes that should be calculated.

removeAttributeFromCache(String) - Method in interface biz.sc.mm.dm.data.AttributeSet

Removes attribute with given name from cache.

removeAttributeSetListener(AttributeSetListener<T>) - Method in interface biz.sc.mm.dm.data.AttributeSet

removeBoxCoxLambda(double) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

removeCell(int) - Method in interface biz.sc.mm.dm.modelstats.kohonen.Segment

Removes specified cell from segment.

removeClassifier(ClassificationModel) - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleSettings

removeClassifier(ClassificationAlgorithmSettings) - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleSettings

removeCustomMatcher(String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Removes the custom matcher set for the given attribute.

removeDefaultAlias() - Method in class biz.sc.mm.dm.data.AliasRegistry

Removes the default alias.

removeKey(Object) - Method in interface biz.sc.mm.dm.data.AttributeSet

Removes the given key from the views, doesn't remove the values for the given key from the attributes.

removeMapping(MapItem, MapItem) - Method in interface biz.sc.mm.dm.scoringcard.ModelToCardMap

removeOut(Module) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

removeOutRole(TableRole, TableRole) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

removeSegment(int) - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Removes segment.

removeSegments() - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Removes all segments.

removeSQLAttribute(String) - Method in interface biz.sc.mm.dm.data.PhysicalData

Removes a previously added SQL (virtual) attribute to the PhysicalData

removeStatistics(String) - Method in interface biz.sc.mm.dm.statistics.CorrelationMatrix

removeWhereStatistics(String, String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSet

Removes statistics for specified attribute and where value.

rename(String, String) - Method in interface biz.sc.mm.dm.data.AttributeSet

Renames attribute with oldName to newName.

REPLACE_TYPE - Static variable in interface biz.sc.mm.transformation.settings.ReplaceMissingAttributes

ReplaceMissing - Interface in biz.sc.mm.dm.algorithm.abm

replaceMissing - Static variable in class biz.sc.mm.transformation.TransformationType

ReplaceMissingAttribute - Interface in biz.sc.mm.dm.data

ReplaceMissingAttributeFactory - Interface in biz.sc.mm.dm.data

ReplaceMissingAttributes - Interface in biz.sc.mm.transformation.settings

ReplaceMissingFactory - Interface in biz.sc.mm.dm.algorithm.abm

ReplaceMissingParameters - Interface in biz.sc.mm.transformation.parameters

ReplaceMissingType - Class in biz.sc.mm.transformation.settings

A ReplaceMissingType class specify type of NULL value substitution for ReplaceMissing Transformation.

ReportFactory - Interface in biz.sc.mm.dm.algorithm.abm

ReportResult - Interface in biz.sc.mm.dm.algorithm.abm

rescale - Static variable in class biz.sc.mm.transformation.TransformationType

RescaleParameters - Interface in biz.sc.mm.transformation.parameters

ResidualType - Class in biz.sc.mm.dm.algorithm.survival.cox

Residual type for survival models (e.g.Schoenfeld,score,martingale).

Result - Interface in biz.sc.mm.dm.algorithm.abm

reverseMapping() - Method in class biz.sc.mm.dm.data.AttribMapping

reweightCounters - Static variable in class biz.sc.mm.dm.supervised.classification.ReweightingMode

Only counters (e.g. in confusion matrix, lifts etc.) will take weights into account

reweightEverything - Static variable in class biz.sc.mm.dm.supervised.classification.ReweightingMode

Everything will be reweighted (e.g. counters and quantiles in lift)

ReweightingMode - Class in biz.sc.mm.dm.supervised.classification

Observation reweighting mode (i.e. how observation's weight will affect ClassificationTestResult calculations).

RMSE - Static variable in class biz.sc.mm.dm.algorithm.abm.ApproximationModelQualityMeasure

ROC - Static variable in interface biz.sc.mm.dm.supervised.classification.ClassificationTestResult

roc - Static variable in class biz.sc.mm.dm.supervised.statistical.VariableSignificanceMode

Significance test based on AUC (Area Under ROC) comparison.

ROC_AREA - Static variable in class biz.sc.mm.dm.algorithm.abm.ClassificationModelQualityMeasure

ROCAnalysis - Interface in biz.sc.mm.dm.supervised.classification

Data provided for Receiver Operating Characteristic plot.

RowOutliers - Interface in biz.sc.mm.dm.algorithm.abm

RowOutliersFactory - Interface in biz.sc.mm.dm.algorithm.abm

rows() - Method in interface biz.sc.mm.dm.algorithm.likelihood.data.DataMapper

The number of observations in the input data.

rProp - Static variable in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardLearningAlgorithmType

resilient backpropagation (rprop) algorithm type

rstudentResidual - Static variable in class biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionOutputType

Output will contain value of the corrected residuals for a given observation.

rstudentResidual - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.linear.LinearInfluenceDiagnostic

The corrected studentized residuals for a given observation.

S

Sample - Interface in biz.sc.mm.dm.algorithm.abm

SampleFactory - Interface in biz.sc.mm.dm.algorithm.abm

SampleResult - Interface in biz.sc.mm.dm.algorithm.abm

SamplingMode - Class in biz.sc.mm.dm.algorithm.abm

SAS - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

SAS database.

SCAD - Static variable in class biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionPenalty

ScalingMethod - Class in biz.sc.mm.dm.scoringcard

schoenfeld - Static variable in class biz.sc.mm.dm.algorithm.survival.cox.ResidualType

Schoenfeld residual

schoenfeldScaled - Static variable in class biz.sc.mm.dm.algorithm.survival.cox.ResidualType

scaled Schoenfeld residual

score - Static variable in class biz.sc.mm.dm.algorithm.survival.cox.ResidualType

score residual

score - Static variable in class biz.sc.mm.dm.modelstats.statistical.ModelStatistic

Score model fit statistic

scorePvalue - Static variable in class biz.sc.mm.dm.modelstats.statistical.ModelStatistic

Score statistic p-value

scoreScaled - Static variable in class biz.sc.mm.dm.algorithm.survival.cox.ResidualType

scaled score residual

ScoringCardAttribute - Interface in biz.sc.mm.dm.scoringcard

ScoringCardBuilderSettings - Interface in biz.sc.mm.dm.scoringcard

ScoringCardBuilderSettingsFactory - Interface in biz.sc.mm.dm.scoringcard

ScoringCardCategory - Interface in biz.sc.mm.dm.scoringcard

ScoringCardCategoryType - Class in biz.sc.mm.dm.scoringcard

ScoringCardData - Interface in biz.sc.mm.dm.scoringcard

ScoringCardModel - Interface in biz.sc.mm.dm.scoringcard

ScoringCardSettings - Interface in biz.sc.mm.dm.scoringcard

ScoringCardSettingsFactory - Interface in biz.sc.mm.dm.scoringcard

ScoringCardStatistics - Interface in biz.sc.mm.dm.scoringcard

ScoringCodeApplyTask - Interface in biz.sc.mm.dm.task

Defines task interface for applying of scoring code.

ScoringCodeApplyTaskFactory - Interface in biz.sc.mm.dm.task

The ScoringCodeApplyTaskFactory is used to create ScoringCodeApplyTask object.

ScoringCodeBody - Interface in biz.sc.mm.dm.scoringcode

ScoringCodeBuildTask - Interface in biz.sc.mm.dm.task

Represents task used for scoring code generation.

ScoringCodeBuildTaskFactory - Interface in biz.sc.mm.dm.task

The ScoringCodeBuildTaskFactory is used to create ScoringCodeBuildTask object.

ScoringCodeModel - Interface in biz.sc.mm.dm.scoringcode

ScoringCodeModel provides interfaces to deal with generated scoring code

ScoringCodeObject - Interface in biz.sc.mm.dm.scoringcode

ScoringCodeSignature - Interface in biz.sc.mm.dm.scoringcode

This interface is used to determine scoringcode input or output signature.

ScoringCodeSignatureItem - Interface in biz.sc.mm.dm.scoringcode

This inteface provides information about scoring model signature input or output attribute

ScoringCodeTransformation - Interface in biz.sc.mm.dm.scoringcode

Represents transformation written in specified language.

ScoringCodeType - Class in biz.sc.mm.dm.scoringcode

A ScoringCodeType class specify type of language for ScoringCode generation

ScoringCodeUtil - Class in biz.sc.mm.dm.algorithm.survival.util

ScoringCodeUtil() - Constructor for class biz.sc.mm.dm.algorithm.survival.util.ScoringCodeUtil

ScoringModel - Interface in biz.sc.mm.dm.scoringcode

Models which derives ScoringModel interface, can be used as input models for ScoringCodeBuildTask.

ScriptWrapper - Interface in biz.sc.mm.dm.base

ScriptWrapperFactory - Interface in biz.sc.mm.dm.base

SearchType - Class in biz.sc.mm.dm.algorithm.kohonen

Winner neuron during learnig process searching types enumeration.

second - Static variable in class biz.sc.mm.dm.algorithm.discriminant.CovarianceMatrixMode

Covariance matrix of the second group

SeededModel - Interface in biz.sc.mm.dm.supervised.statistical

Common interface for all models which can be build with seed input model.

Segment - Interface in biz.sc.mm.dm.modelstats.kohonen

Segment interface.

set1stTargetPositiveCategory(Object) - Method in interface biz.sc.mm.dm.supervised.classification.bivariate.BivariateFunctionSettings

Sets the positive category of the target attribute for the default equation.

set2ndTargetAttributeName(String) - Method in interface biz.sc.mm.dm.supervised.classification.bivariate.BivariateFunctionSettings

Sets the name of the censoring equation target attribute (target2).

set2ndTargetPositiveCategory(Object) - Method in interface biz.sc.mm.dm.supervised.classification.bivariate.BivariateFunctionSettings

Sets the positive category of the target attribute for the censoring equation (target2).

setABMSettingsName(String) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMTask

setActivationFunction(NeuronActivationFunctionType) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.NeuralLayer

Sets activation function to all neurons in this layer.

setActive(boolean) - Method in interface biz.sc.mm.dm.base.Trigger

Set the state of trigger (active or inactive).

setActualName(String) - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Deprecated.

As of Platform version 1.0, use setTarget(name)

setActualSplit(SplitValue) - Method in interface biz.sc.mm.dm.modelstats.tree.Split

The returned split is the actual split which currently works while using the tree for viewing, applying, testing etc.

setActualSplitIndex(int) - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Sets the actual split, for details see - Node.getActualSplitIndex().

setAddDiscreteValuesToInputSignature(boolean) - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

setAddedGWAAttributes(String[]) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

setAddMissingTimepoints(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.DataSource

setAggregatingMethod(AggregatingMethod) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

setAggregationType(AggregationType) - Method in interface biz.sc.mm.dm.algorithm.abm.HeterogeneousEnsemble

setAggregationType(AggregationType) - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleSettings

setAlgorithm(String, MatchingAlgorithm) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Set the MatchingAlgorithm for the given attribute in the AttributeUsageSet

setAlgorithmSettings(MiningAlgorithmSettings) - Method in interface biz.sc.mm.dm.base.MiningFunctionSettings

Sets settings of the algorithm which are used for building model.

setAlias(String, DatabaseAlias) - Method in class biz.sc.mm.dm.data.AliasRegistry

Adds or replaces alias.

setAlias(String, DatabaseAlias, boolean) - Method in class biz.sc.mm.dm.data.AliasRegistry

Adds or replaces alias.

setAlpha(double) - Method in interface biz.sc.mm.dm.algorithm.gam.SplineModel

setAlpha(double) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setAlpha(double) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

setAlpha(double) - Method in interface biz.sc.mm.transformation.parameters.SplineParameters

setAlphaGam(double) - Method in interface biz.sc.mm.dm.algorithm.gam.GAMModel

setAlphaGam(double) - Method in interface biz.sc.mm.transformation.parameters.GAMParameters

setAppliableObjectName(String) - Method in interface biz.sc.mm.dm.task.CommonApplyTask

Sets the name of the appliable object that will be used for applying.

setApplyOutput(MiningApplyOutput) - Method in interface biz.sc.mm.dm.task.CommonApplyTask

Sets an output specification for this apply task.

setApplyOutput(MiningApplyOutput) - Method in interface biz.sc.mm.dm.task.MiningApplyTask

Sets an output specification for this apply task.

setApproximateDataQuantiles(boolean) - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesSettings

setApproximatePercentiles(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.DataExplorer

setApproximateQuantiles(boolean) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

setApproximationModelQualityMeasure(ApproximationModelQualityMeasure) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setAtCenter() - Method in interface biz.sc.mm.dm.modelstats.kmean.Coordinate

Sets cluster coordinate at center of analyzed space.

setAttribute(LogicalAttribute) - Method in interface biz.sc.mm.dm.modelstats.tree.SimplePredicate

Sets the split attribute

setAttributeLevelNameSwitcherToMergedName(Map<String, HashMap<String, String>>) - Method in interface biz.sc.mm.transformation.parameters.GroupValuesParameters

setAttributeLevelToProbability(Map<String, SortedMap<String, Double>>) - Method in interface biz.sc.mm.transformation.parameters.GroupValuesParameters

setAttributes(AttributeGroup) - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.NetworkAttributes

setAttributes(VertexInfo) - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

setAttributeType(ABMAttributeType) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

setAttributeType(AttributeType) - Method in interface biz.sc.mm.dm.data.LogicalAttribute

Sets the type of this attribute.

setAttributeTypeFrozen(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

setAttributeUsage(ABMAttributeUsage) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

setAttributeUsageFrozen(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

setAttributeUsageSet(AttributeUsageSetImpl) - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettings

setAttributeUsageSet(AttributeUsageSet) - Method in interface biz.sc.mm.dm.base.MiningFunctionSettings

Sets the usage of attributes in this function settings.

setAttributeUsageSet(AttributeUsageSet) - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

Sets the usage of attributes in this transformation settings.

setAttributeUsageSetName(String) - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettings

setAutocorrelationTestSpan(int) - Method in interface biz.sc.mm.dm.algorithm.timeseries.TimeSeriesAlgorithmSettings

Sets the time span for autocorrelation test (e.g. autocorrelation "t" against "t-span").

setAutomaticDataTransformations(boolean) - Method in interface biz.sc.mm.dm.base.MiningAlgorithmSettingsWithTransformation

setAutomaticModelSelection(boolean) - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Sets automatic model selection flag: true=algorith will decide which model is best

setAutomaticTransformations(boolean) - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettings

setAutoRatio(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

setAutoSample(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.ModelTranslator

setAutoSimulationsNumber(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionsTreeSettings

setAuxiliaryLiftEstimationMode(AuxiliaryLiftEstimationMode) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Sets the auxiliary lift estimation mode.

setAuxiliaryStatisticsMode(AuxiliaryStatisticsMode) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Sets auxiliary statistics switch value.

setAvailableColumns(List<String>) - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettings

setAvailableNames(List<String>) - Method in interface biz.sc.mm.dm.algorithm.socialnets.prop.AttributeProperty

setBagging(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

setBatchLearning(boolean) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.BackpropagationOnline

Sets batch learing flag

setBatchLearning(boolean) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets flag if learning process should be batched.

setBeginLearningRate(double) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets begining learning rate.

setBeginNeighbourhoodRate(int) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets begining neighbourhood rate.

setBestInternalModel(InformationCriterion) - Method in interface biz.sc.mm.dm.algorithm.ets.ETSModel

Sets best internal model

setBestSplits(List) - Method in interface biz.sc.mm.dm.modelstats.tree.Node

List of best splits.

setBeta(double[]) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionModel

setBinarizedValues(BinarizedValues) - Method in interface biz.sc.mm.dm.data.BinarizeAttribute

setBinCount(int) - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

setBody(String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.customcode.CodeBuilder

Set the body of the custom code.

setBuildDataName(String) - Method in interface biz.sc.mm.dm.task.MiningBuildTask

Sets the name of data which will be used to build model.

setBuildTargetAttributeName(String) - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionApplyOutput

Sets the name of the target attribute, used during model building and required for calculation of influence diagnostics.

setBurnin(int) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setCalcPermutationImportance(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

setCalculateCategoricalHistogram(boolean) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Sets whether discrete statistics should be calculated.

setCalculateConditionalDiscretize(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

setCalculateCorrelationRatio(boolean) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

setCalculateCorrelations(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

setCalculateCorrelations(boolean) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

setCalculateCramerCorrelation(boolean) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

setCalculateDerivedVariables(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

setCalculateDetailed(boolean) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Sets whether detailed statistics should be calculated.

setCalculateGiniHistogram(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

setCalculateGWASelection(boolean) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

setCalculateLog(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

setCalculateMode(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.DataExplorer

setCalculateModelStatistics(boolean) - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesSettings

setCalculateNumericalHistogram(boolean) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Sets whether continuous statistics should be calculated.

setCalculatePearsonCorrelation(boolean) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

setCalculatePercentiles(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.DataExplorer

setCalculateQuantiles(boolean) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Sets whether quantiles should be calculated.

setCalculateReciprocal(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

setCalculateSplitStatistics(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Calculate split statistics

setCalculateSqr(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

setCalculateSqrt(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

setCalculateTrainStatistics(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.BuildModel

setCalculateTrainStatistics(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.HeterogeneousEnsemble

setCalculateUniformityIndexes(boolean) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

setCalculator(ETSCalculator) - Method in interface biz.sc.mm.dm.algorithm.ets.ETSInternalModel

Set ets calculator of internal model

setCalcutateBasic(boolean) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

setCanGenerateWithCompilationErrors(boolean) - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

When errors occurs during compilation process, no output model creates.

setCaseSensitive(boolean) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingAlgorithmSettings

Set whether the string comparisons should be case sensitive or not.

setCategoricalProperties(CategoricalAttributeProperties) - Method in interface biz.sc.mm.dm.data.LogicalAttribute

Sets categorical properties of this attribute.

setCategoricalType(ReplaceMissingType) - Method in interface biz.sc.mm.dm.algorithm.abm.ReplaceMissing

setCategoricalValue(String) - Method in interface biz.sc.mm.dm.algorithm.abm.ReplaceMissing

setCategoriesType(AttributeDataType) - Method in interface biz.sc.mm.dm.data.CategorySet

Sets the type of contained categories

setCategorySet(CategorySet) - Method in interface biz.sc.mm.dm.data.CategoricalAttributeProperties

Sets the set of this attribute categories.

setCells(int[]) - Method in interface biz.sc.mm.dm.modelstats.kohonen.Segment

Set cells to the segment.

setCellsType(CellType) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets cel (neighbourhood) type.

setCensoredCategory(Object) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalFunctionSettings

Sets the censor attribute category value for censored observation.

setCensoredCategory(Object) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestTask

Sets the censor attribute category value for censored observation.

setCensorName(String) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalFunctionSettings

Sets the name of the censor attribute.

setCensorName(String) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestTask

Sets the name of the censor attribute.

setChainLength(int) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setChangeUsagesOnEachSplit(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

setCIndexLimit(double) - Method in interface biz.sc.mm.dm.algorithm.abm.UsageFinderSettings

setClassificationModelQualityMeasure(ClassificationModelQualityMeasure) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setClassificationThreshold(double) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setClassificationThreshold(double) - Method in interface biz.sc.mm.dm.algorithm.discriminant.BinaryDiscriminantAnalysisModel

Sets classification threshold for discriminant analysis model.

setClassificationThresholdType(ClassificationThresholdType) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setClusterCount(int) - Method in interface biz.sc.mm.dm.algorithm.kmean.KMeansSettings

Sets clusters count

setClusterLevel(int) - Method in interface biz.sc.mm.dm.clustering.ClusteringRankItem

Sets level for cluster identificaton

setCodeBody(ScoringCodeBody) - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeObject

Sets generated code body.

setCodeLanguage(ScoringCodeType) - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeObject

Sets code language

setCodeLanguage(ScoringCodeType) - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

Sets code language used to generate Scoring Code.

setComparisonOperator(ComparisonOperator) - Method in interface biz.sc.mm.dm.modelstats.tree.SimplePredicate

Sets the boolean operator used to perform the predicate checking

setComputeQuantiles(boolean) - Method in interface biz.sc.mm.dm.supervised.classification.BaseClassificationTestTask

Sets flag indicating whether lift and ROC will be computed.

setConfidenceFactor(double) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Confidence factor for estimating error made by tree for pruning purposes.

setConfidenceLevel(double) - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Sets confidence level for interval estimation.

setContent(String) - Method in interface biz.sc.mm.dm.base.ScriptWrapper

Set the content of script to be executed by Trigger

setConvergenceCriterion(ConvergenceCriterion) - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

Sets current convergence criterion for nonlinear optimization method (e.g.gradient norm or likelihood change).

setConvergenceThreshold(double) - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Sets value of convergence treshold during model fitting procedure

setConvergenceThreshold(double) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

setConvergenceThreshold(double) - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

setCopiedNames(Set<String>) - Method in interface biz.sc.mm.transformation.TransformationSetsHandler

setCorrelationPairs(String[], String[]) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

setCostX(double) - Method in interface biz.sc.mm.dm.algorithm.discriminant.DiscriminantSettings

Sets misclassification cost of classifying observation from the 1st class as the 2nd class.

setCostY(double) - Method in interface biz.sc.mm.dm.algorithm.discriminant.DiscriminantSettings

Sets misclassification cost of classifying observation from the 2nd class as the 1st class.

setCount(double) - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Sets the total number of observations that fall into this node.

setCounts(double[][]) - Method in class biz.sc.mm.dm.data.DoubleHistogram2D

setCovarianceMatrix(double[][], boolean) - Method in interface biz.sc.mm.dm.supervised.statistical.ManuallyModifiedModel

Replaces model covariance matrix with the specified matrix.

setCovarianceMatrixMode(CovarianceMatrixMode) - Method in interface biz.sc.mm.dm.algorithm.discriminant.DiscriminantSettings

Sets the method of covariance matrix estimation (e.g.1st/2nd class matrix or the average matrix).

setCreateOutputPD(boolean) - Method in interface biz.sc.mm.dm.algorithm.deduplication.MatchingTask

Decide wheter a output physical data should be created.

setCrossValidationType(CrossValidationType) - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

setCumulative(boolean) - Method in class biz.sc.util.LiftCoordinatesSettings

setCustomApriori(double) - Method in class biz.sc.util.LiftCoordinatesSettings

setCustomMatcher(String, CustomMatcher) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Sets a custom matcher for the given attribute.

setCustomPreprocessor(String, StringProcessor) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Sets a custom preprocessor for the given attribute.

setCustomPreprocessorState(String, boolean) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Decide wheter or not use previously set custom preprocessor.

setCustomValue(Object) - Method in interface biz.sc.mm.dm.data.ReplaceMissingAttribute

setCutoff(double) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setCutOff(double) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingAlgorithmSettings

Set the value of cutOff.

setCutoffThresh(double) - Method in interface biz.sc.mm.dm.algorithm.mars.LogisticMARSSettings

setCutPrc(int) - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationTestTask

setDamped(boolean) - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Sets value of damped parameter

setDatabaseAlias(DatabaseAlias) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMCommonSettings

setDatabaseAlias(DatabaseAlias) - Method in interface biz.sc.mm.transformation.DataObjectSet

Sets database alias.

setDataExplorer(DataExplorer) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

setDataProcessor(DataProcessor) - Method in interface biz.sc.mm.dm.modelstats.feedforwardneuralnet.NeuralNetworkModelStatistics

setDataRandomization(boolean) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets flag if data should be randomized.

setDataSource(DataSource) - Method in interface biz.sc.mm.dm.data.PhysicalData

setDataType(AttributeDataType) - Method in interface biz.sc.mm.dm.data.LogicalAttribute

Sets the data type of this attribute.

setDataType(AttributeDataType) - Method in interface biz.sc.mm.dm.data.PhysicalAttribute

Sets the data type of this attribute.

setDefaultAlias(DatabaseAlias) - Method in class biz.sc.mm.dm.data.AliasRegistry

Deprecated.

setDefaultAlias(String) - Method in class biz.sc.mm.dm.data.AliasRegistry

setDegeneratedAttributesProcessingMethod(DegeneratedAttributesProcessingMethod) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setDegeneratedAttributesVarianceForPrior(double) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setDegeneratedAttributesVarianceForRandomWalk(double) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setDeleteTable(boolean) - Method in interface biz.sc.mm.dm.algorithm.deduplication.MatchingTask

Set the delete table flag - for details see MatchingTask.getDeleteTable()

setDeleteTempTables(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMTask

setDependencyRsqThreshold(double) - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelection

setDependencySearchMode(DependencySearchMode) - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelection

Specifies if depended attributes or categories should be removed.

setDerivedVariablesSelector(DerivedVariablesSelector) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

setDescription(String) - Method in interface biz.sc.mm.dm.data.LogicalAttribute

sets the description of this attribute.

setDescription(String) - Method in interface biz.sc.mm.dm.data.PhysicalAttribute

Sets the description of this attribute.

setDescription(String) - Method in interface biz.sc.mm.dm.PersistentObject

Sets object's description.

setDescription(String) - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardAttribute

Sets the description of this attribute.

setDestinationName(String) - Method in interface biz.sc.mm.dm.task.ApplyOutputItem

Sets the name of attribute in output table.

setDirectMapping(AttribMapping) - Method in interface biz.sc.mm.dm.scoringcode.MiningModelScoringCodeBody

setDirectMapping(AttribMapping) - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeModel

setDirectMapping(AttribMapping) - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeTransformation

setDirectMapping(AttribMapping) - Method in interface biz.sc.mm.dm.scoringcode.TransformationScoringCodeBody

setDirectMapping(List) - Method in interface biz.sc.mm.dm.task.ApplyTask

Sets direct mapping specification list.

setDirectMapping(List) - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

Sets direct mapping specification list.

setDirty(boolean) - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Sets whether this node is dirty.

setDiscrete(boolean) - Method in interface biz.sc.mm.dm.data.NumericalAttributeProperties

Deprecated.

setDiscreteCountLimit(int) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMCommonSettings

setDiscretizeType(DiscretizeType) - Method in interface biz.sc.mm.dm.algorithm.abm.Discretize

setDisplayNetwork(Net, FilterFactory) - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

setDistanceFunction(ClusteringDistanceFunction) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets distance function between two vectors.

setDroppedNames(Set<String>) - Method in interface biz.sc.mm.transformation.TransformationSetsHandler

setDropTableIfExists(boolean) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

setEBICGamma(double) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

setEditable(boolean) - Method in interface biz.sc.mm.dm.PersistentObject

Sets editableStatus

setEndLearningRate(double) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets ending learning rate.

setEndNeighbourhoodRate(int) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets ending neighbourhood rate.

setEndTime(Date) - Method in interface biz.sc.mm.dm.base.Trigger

Set the time at which the Trigger should quit repeating (and be automatically deleted).

setEpsilonTolerance(double) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

setErrorFunction(FeedforwardErrorFunctionType) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Sets type of error function.

setEstimationMethod(LogisticEstimationMethod) - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Sets the logistic regression model estimation method (Newton-likelihood or Fisher-Score).

setETSBasicMetrics(ETSBasicMetrics) - Method in interface biz.sc.mm.dm.modelstats.ets.ETSModelStatistics

Sets basic metrics in ets model statistics

setETSCalculatorSettings(ETSCalculatorSettings) - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

setExactLimitedDiscrete(boolean) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Sets whether to choose the most frequent values when maxvalues count is exceeded.

setExecuteInDatabase(boolean) - Method in interface biz.sc.mm.dm.task.TransformationApplyTask

setExecuteInitTests(boolean) - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Sets initial test execution switch value.

setExpectedNumberOfActiveAttributesInResults(int) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

setExpertPoints(int) - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardCategory

setFalseNegativeCost(double) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setFalseNegativeProfit(double) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setFalsePositiveCost(double) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setFalsePositiveProfit(double) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setFastLikelihood(boolean) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setFastMatrixUpdate(boolean) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedLogisticRegressionSettings

setFastMikusLikelihood(boolean) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setFeatureEvaluatorSettings(FeatureEvaluatorSettings) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

setFeatureSelectionSettingsName(String) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

setFilter(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterSettings

setFirstTimePoint(Double) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalApplyOutput

Sets the lower bound of the time scale interval in which survival function values are calculated.

setFirstTimePoint(Double) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestTask

Sets the lower bound of the time scale interval in which survival function values are calculated.

setForceMaxIterations(boolean) - Method in interface biz.sc.mm.dm.algorithm.kmean.KMeansSettings

Set to true if an algorithm shouldnt stop if membership matrix doesn't change

setForceRecalculate(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

setForceUndirected(boolean) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildSettings

setFunction(LikelihoodFunction) - Method in interface biz.sc.mm.dm.algorithm.likelihood.optimization.Optimization

Sets the underlying likelihood function.

setFunctionSettingsName(String) - Method in interface biz.sc.mm.dm.task.MiningBuildTask

Sets the name of the function settings that will be used to build model.

setFunctionTolerance(double) - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

Sets function tolerance for nonlinear optimization method.

setGenerateTable(boolean) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

setGiniHistogramPerIteration(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

setGradientTolerance(double) - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

Sets gradient tolerance for nonlinear optimization method.

setGroup(String) - Method in interface biz.sc.mm.dm.data.AttributeUsage

Sets the group identyfier for this attribute.

setGroupMode(boolean) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Sets the status of grouped variable selection mode.

setGroupStatistics(boolean) - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Sets group statistics switch value.

setHeight(int) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets map height.

setHingeTransformations(ArrayList<HingeTransformation>) - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

setHingeTransformations(ArrayList<HingeTransformation>) - Method in interface biz.sc.mm.transformation.parameters.MARSParameters

setHistogramResolution(int) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingAlgorithmSettings

Set the number of the interval.

setHomogenousDensity(double) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

The smallest density of any target in node to justify changing it into leaf.

setHosmerLemeshowGroups(int) - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Sets the number of Hosmer-Lemeshov test groups.

setIfSpline(boolean[]) - Method in interface biz.sc.mm.dm.algorithm.gam.GAMModel

setIfSpline(boolean[]) - Method in interface biz.sc.mm.transformation.parameters.GAMParameters

setIgnoreNullsInGroup(boolean) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingAlgorithmSettings

Set whether we treat null value in group column as a separate group or discard it.

setImportanceMeasure(ImportanceMeasure) - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesSettings

setImports(HashSet) - Method in interface biz.sc.mm.dm.algorithm.deduplication.customcode.CodeBuilder

Set the imports used for buliding the code.

setIndicatedValue(double) - Method in interface biz.sc.mm.dm.algorithm.abm.IndicatorTransformation

setIndicatorTransformation(IndicatorTransformation) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

setInfCrit(InformationCriterion) - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Sets type of information criterion for model selection

setInfluenceDiagnostics(boolean) - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Sets influence diagnostics switch value.

setInformationCriterion(InformationCriterion) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

setInitializationProperties(KMeansInitializationProperties) - Method in interface biz.sc.mm.dm.algorithm.kmean.KMeansSettings

setInputAttributeName(String) - Method in interface biz.sc.mm.dm.data.SignatureAssignment

Sets the name of attribute in input data.

setInputModelName(String) - Method in interface biz.sc.mm.dm.task.MiningBuildTask

Sets the name of the input model.

setInputModelName(String) - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

Sets input model name.

setInputPhysicalDataName(String) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

setInputPhysicalDataName(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaTask

setInputTableName(String) - Method in interface biz.sc.mm.dm.algorithm.abm.ModelTranslator

setInputTransformationName(String) - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

Sets input transformation name.

setInRole(TableRole, TableRole) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

setInteractionsAlgorithmSettings(InteractionsAlgorithmSettings) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

setInteractionsAlgorithmSettings(InteractionsAlgorithmSettings) - Method in interface biz.sc.mm.dm.algorithm.abm.Interactions

setInteractionSignificanceType(InteractionSignificanceType) - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionsTreeSettings

setIntercept(boolean) - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Sets intercept switch value.

setIntervals(int[]) - Method in interface biz.sc.mm.dm.algorithm.gam.SplineModel

setIntervals(String, Interval[]) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

setIntervals(Interval[]) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

setIntervals(int[]) - Method in interface biz.sc.mm.transformation.parameters.SplineParameters

setItems(List<ScoringCodeSignatureItem>) - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeSignature

Items (ScoringCodeSignatureItem) describes model input or output attributes

setIterate(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.BuildModel

setIterMax(int) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

setIterMax(int) - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

Sets maximum number of iterations for nonlinear optimization method.

setKeys(Set<?>) - Method in interface biz.sc.mm.dm.data.AttributeSet

setLambda(double) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

setLastTimePoint(Double) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalApplyOutput

Sets the upper bound of the time scale interval in which survival function values are calculated.

setLastTimePoint(Double) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestTask

Sets the upper bound of the time scale interval in which survival function values are calculated.

setLayout(double[], double[]) - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

setLeaf(boolean) - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Sets whether this node is a leaf node.

setLearningAlgorithm(FeedforwardLearningAlgorithm) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Sets learning alorithm.

setLearningAlgorithm(ClassificationLearningAlgorithm) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenClassificationSettings

Sets classification learning algorithm.

setLearningAlgorithm(ClusteringLearningAlgorithm) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenClusteringSettings

Sets clustering learning algorithm.

setLearningRate(double) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.Backpropagation

Sets value of learning rate.

setLearningRate(double) - Method in interface biz.sc.mm.dm.algorithm.mars.LogisticMARSSettings

setLevelCalculationFromLeafs(boolean) - Method in interface biz.sc.mm.dm.clustering.ClusteringRankItem

Sets type of level calculation.

setLiberalExecution(boolean) - Method in interface biz.sc.mm.dm.base.Task

See isLiberalExecution .

setLiberalMode(boolean) - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

setLiftQuantiles(int) - Method in interface biz.sc.mm.dm.algorithm.mars.LogisticMARSSettings

setLiftReweightingMode(ReweightingMode) - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Sets the observation reweighting mode.

setLikelihoodFunctionType(BivariateLikelihoodFunctionType) - Method in interface biz.sc.mm.dm.algorithm.bivariate.BivariateProbitSettings

Sets underlying log-likelihood function (e.g.full or censored).

setLimitsBasedOnScoreActive(boolean) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

setLinkFunctionType(LinkFunctionType) - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Sets the link function type (e.g.logit or probit).

setLoadSorted(boolean) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildSettings

setLogicalData(LogicalData) - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettings

setLogicalData(LogicalData) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildSettings

setLogicalData(LogicalData) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterSettings

setLogicalData(LogicalData) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaSettings

setLogicalData(LogicalData) - Method in interface biz.sc.mm.dm.base.MiningFunctionSettings

Sets logical data used by this function settings.

setLogicalData(LogicalData) - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

Sets the logical data.

setLogicalDataName(String) - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettings

setLogisticEstimationMethod(LogisticEstimationMethod) - Method in interface biz.sc.mm.dm.algorithm.bivariate.BivariateProbitSettings

Sets the algorithm for estimation of the initial logistic regression models

setLogisticPreselection(boolean) - Method in interface biz.sc.mm.dm.algorithm.bivariate.BivariateProbitSettings

Sets logistic model preselection switch value.

setLowerOutlier(double) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

setMarkovChainInit(double[]) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setMatchingFunctionSettingsName(String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.MatchingTask

Set the name of the Matching Function Settings object.

setMatrixCategories(CategorySet) - Method in interface biz.sc.mm.dm.data.CategoryMatrix

Sets collection of categories, which will be used as row and column headers in the matrix

setMaxAverageRankOfAttributeInResults(double) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

setMaxChainLength(int) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setMaxDiscreteCount(int) - Method in interface biz.sc.mm.dm.algorithm.abm.DataExplorer

setMaxDiscreteCount(int) - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

setMaxDiscreteValues(int) - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

setMaxEdgesCount(int) - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

setMaxFunEvaluations(int) - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

setMaximumOutputSize(double) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Sets the output size to be no bigger than value/100 * input_size.

setMaxInAttributes(int) - Method in interface biz.sc.mm.dm.algorithm.abm.Interactions

setMaxIndicatedValueRatio(double) - Method in interface biz.sc.mm.dm.algorithm.abm.IndicatorTransformation

setMaxIterationsCount(int) - Method in interface biz.sc.mm.dm.algorithm.kmean.KMeansSettings

Sets max iterations count

setMaxIterationsNumber(int) - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Sets maximum value of steps number during model fitting procedure

setMaxIterationsReg(int) - Method in interface biz.sc.mm.dm.algorithm.mars.LogisticMARSSettings

setMaxModelSize(int) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Sets the maximal model size (the number of variables in model).

setMaxNodeRank(int) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Maximum number of children nodes for a node.

setMaxNulls(double) - Method in interface biz.sc.mm.dm.algorithm.abm.DataExplorer

setMaxNumberOfAddedAttributesGWASelection(int) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

setMaxNumberOfBestPredicates(int) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Maximum number of best predicates computed in the building phase of the algorithm.

setMaxNumberOfIterations(int) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Sets maximal number of algorithm iterations.

setMaxNumberOfIterations(int) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets the maximum number of iterations to be used in training the network.

setMaxNumberOfPoints(double) - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardBuilderSettings

setMaxOutAttributes(int) - Method in interface biz.sc.mm.dm.algorithm.abm.Interactions

setMaxSize(int) - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

setMaxTimepoint(Date) - Method in interface biz.sc.mm.dm.algorithm.abm.DataSource

setMaxTreeDepth(int) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

The maximum tree depth.

setMaxValuesCount(int) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Sets maximum values count for discrete attributes.

setMaxValuesCount(int) - Method in interface biz.sc.mm.dm.task.MiningBuildTask

setMean(double[]) - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

setMergedName(String) - Method in interface biz.sc.mm.transformation.parameters.GroupValuesParameters

setMergeResults(boolean) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaSettings

setMinDelta(double) - Method in interface biz.sc.mm.dm.algorithm.mars.LogisticMARSSettings

setMinDistinctValuesCount(int) - Method in interface biz.sc.mm.dm.algorithm.abm.IndicatorTransformation

setMinErrorTolerance(double) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Sets minimal error tolerance.

setMinErrorTolerance(double) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets the minimum acceptable error in modeling the training data.

setMinFractionOfLevelObservations(double) - Method in interface biz.sc.mm.dm.algorithm.abm.GroupValues

setMinimumWeight(String, double) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Set the Minimum Weight for the given attribute in the AttributeUsageSet

setMinIndicatedValueRatio(double) - Method in interface biz.sc.mm.dm.algorithm.abm.IndicatorTransformation

setMinLeafSize(double) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Sets the minimum size of a tree leaf - a node split is performed only if every leaf has at least that number of observations.

setMinLeafSizePrc(double) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Sets the minimum size of a tree leaf relatively to the whole data set size - a node split is performed only if every leaf has at least that number of observations.

setMinNodeSize(double) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

The minimal number of samples for a node.

setMinNodeSizePrc(double) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Minimal node size calculated as percent of the training set size.

setMinNodeVariabilityPrc(double) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

setMinScore(double) - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelection

setMinScoreValueOfActiveAttributeInResults(double) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

setMinSplitEvaluationGain(double) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

The minimum gain in split evaluation value, to continue splitting a node.

setMissingValueRatio(double) - Method in interface biz.sc.mm.dm.algorithm.abm.UsageFinderSettings

setMissingValuesSupported(boolean) - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeModel

Sets information about missing values support

setModalValueRatio(double) - Method in interface biz.sc.mm.dm.algorithm.abm.UsageFinderSettings

setModel(ClassificationModel) - Method in interface biz.sc.mm.dm.algorithm.ensembles.EnsembleItem

setModelAssignment(AttributeAssignmentSet) - Method in interface biz.sc.mm.dm.base.Task

Sets mapping of physical data to a model signature.

setModelEntryLevel(double) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Sets the entry level (p-value) for variable insertion test.

setModelLambda(double) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionModel

setModelLeaveLevel(double) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Sets the leave level (p-value) for variable removal test.

setModelName(String) - Method in interface biz.sc.mm.dm.task.CommonTestTask

Sets the name of the model that will be build.

setModelName(String) - Method in interface biz.sc.mm.dm.task.MiningApplyTask

Sets the name of the model that will be used for applying.

setModelName(String) - Method in interface biz.sc.mm.dm.task.MiningBuildTask

Sets the name of the model that will be build.

setModelStatistics(ETSModelStatistics) - Method in interface biz.sc.mm.dm.algorithm.ets.ETSInternalModel

Sets model statistics of internal model

setModelStatResultName(String) - Method in interface biz.sc.mm.dm.task.ComputeModelStatisticsTask

Sets name of the object, which holds the results of runing this task.

setModificationFunction(ModificationFunction) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets neighbours modification function.

setMomentum(double) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.BackProp

Sets value of momentum.

setMProbValue(String, double) - Method in interface biz.sc.mm.dm.algorithm.deduplication.ProbabilityMatchingFunctionSettings

Sets the probability of accidental match for the given attribute.

setMulticategoryModelType(MulticategoryModelType) - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Sets the multicategory model type (e.g.cumulative).

setMultipleTrees(int) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.BoostedTreesSettings

setName(TableRole, String) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

setName(String) - Method in interface biz.sc.mm.dm.algorithm.ensembles.EnsembleItem

setName(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.prop.ColumnProperty

setName(String) - Method in interface biz.sc.mm.dm.clustering.Cluster

Sets cluster name.

setName(String) - Method in interface biz.sc.mm.dm.data.Attribute

setName(String) - Method in interface biz.sc.mm.dm.data.AttributeUsage

Sets the name of the attribute to which this usage is bound.

setName(String) - Method in interface biz.sc.mm.dm.data.BinarizeAttribute

Sets the name of this attribute

setName(String) - Method in interface biz.sc.mm.dm.data.LogicalAttribute

Sets the name of this attribute.

setName(String) - Method in interface biz.sc.mm.dm.data.PhysicalAttribute

Sets the name of this attribute.

setName(String) - Method in interface biz.sc.mm.dm.data.ReplaceMissingAttribute

setName(String) - Method in interface biz.sc.mm.dm.modelstats.kohonen.Segment

Sets segment name.

setName(String) - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

setName(String) - Method in interface biz.sc.mm.dm.PersistentObject

Sets object's name.

setName(String) - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardAttribute

setNamesOfReducedAttributes(String[]) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

setNetworkAttributesId(int) - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

setNetworkName(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildTask

setNetworkName(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterTask

setNetworkName(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaTask

setNetworkName(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

setNeuralLayers(NeuralLayer[]) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Sets hidden layers.

setNextFireTime(Date) - Method in interface biz.sc.mm.dm.base.Trigger

setNodeID(int) - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Sets the unique id of this node.

setNodeRules(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

setNoise(double) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Sets variance of uniform noise.

setNoiseVariance(double) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets noise variance.

setNominalAttributeGrouping(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.TreeSettings

Determine whether algorithm should perform attribute value grouping in each node for nominal attributes.

setNoOfChains(int) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setNormalizeScore(boolean) - Method in interface biz.sc.mm.dm.algorithm.deduplication.WeightedMatchingAlgorithmSettings

Decide wheter or not normalize the output score to fit the (0,1) range.

setNormalizeWeights(boolean) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildSettings

setNullCount(double) - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Sets the number of observations that fall into this node with null value at the split attribute.

setNullHandling(NullHandling) - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettings

setNullSimilarity(String, double) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Set the Null similarity for the given attribute in the AttributeUsageSet

setNullStrategy(NullStrategyEnum) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.TreeSettings

How should the tree algorithms treat null values.

setNullStrategy(NullStrategyEnum) - Method in interface biz.sc.mm.dm.modelstats.tree.TreeModelStatistics

Set the null processing strategy.

setNullTestAllowed(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Experimental feature.

setNumberOfAttributeEachSplit(int) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

setNumberOfAttributes(int) - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelection

setNumberOfCategories(int) - Method in interface biz.sc.mm.dm.algorithm.abm.Discretize

Sets DiscretizeSettings.setCategoryNumber()

setNumberOfGroups(int) - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

setNumberOfHistogramQuantiles(int) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Number of histogram quantiles in split editor

setNumberOfIntervals(int) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Sets number of itervals to be calculated.

setNumberOfIntervals(String, Integer) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Sets number of itervals to be calculated for specified attribute.

setNumberOfIntervals(int) - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationTestTask

Sets the number of intervals

setNumberOfIntervalsXYPlot(int) - Method in interface biz.sc.mm.dm.supervised.approximation.ApproximationTestTask

Sets the number of intervals

setNumberOfIterations(int) - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

setNumberOfLambdaModels(int) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

setNumberOfLiftQuantiles(int) - Method in interface biz.sc.mm.dm.algorithm.gam.LogisticGAMSettings

setNumberOfLiftQuantiles(int) - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesSettings

setNumberOfLiftQuantiles(int) - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Sets the number of quantiltes used for lift computation.

setNumberOfLiftQuantiles(int) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedLogisticRegressionSettings

setNumberOfLiftQuantiles(Integer) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestTask

Sets the number of quantiltes used for lift computation.

setNumberOfNodes(int) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.NeuralLayer

Sets number of neurons in this layer.

setNumberOfQuantiles(int) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setNumberOfQuantiles(int) - Method in interface biz.sc.mm.dm.supervised.classification.BaseClassificationTestTask

Sets the number of quaniltes used for LIFT/ROC/K-S computation.

setNumberOfTimePoints(Integer) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalApplyOutput

Sets the number of time points in which survival function values are calculated.

setNumberOfTimePoints(Integer) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalTestTask

Sets the number of time points for which lift plots are calculated.

setNumberOfTimePoints(Integer) - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesApplyOutput

Sets the number of time points in which predicted values are calculated.

setNumberOfTimePoints(Integer) - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesTestTask

Sets the number of time points for which time series statistics are calculated.

setNumerical(boolean) - Method in interface biz.sc.mm.dm.modelstats.tree.SimplePredicate

Sets the numerical predicate type flag.

setNumericalProperties(NumericalAttributeProperties) - Method in interface biz.sc.mm.dm.data.LogicalAttribute

Deprecated.

setNumericalType(ReplaceMissingType) - Method in interface biz.sc.mm.dm.algorithm.abm.ReplaceMissing

setNumericalValue(Number) - Method in interface biz.sc.mm.dm.algorithm.abm.ReplaceMissing

setNumericalValue(Double) - Method in interface biz.sc.mm.dm.modelstats.tree.SimplePredicate

Sets the numerical value with which some attribute value will be compared to

setObjectIdentifier(Integer) - Method in interface biz.sc.mm.dm.PersistentObject

setOnlyPreprocessing(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.GroupValues

setOnlyPreprocessing(boolean) - Method in interface biz.sc.mm.transformation.parameters.GroupValuesParameters

setOptCrit(OptimCriterion) - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Sets type of optimum critrion for model fitting

setOptimizationAlgorithmSettings(OptimizationAlgorithmSettings) - Method in interface biz.sc.mm.dm.algorithm.likelihood.optimization.Optimization

Sets optimization algorithm settings.

setOptimizationAlgorithmSettings(OptimizationAlgorithmSettings) - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Sets nonlinear optimization algorithm settings.

setOptimizationInformation(boolean) - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

Gets switch for additional info from OPT++ library.

setOptimizationMethod(NonlinearOptimizationMethod) - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

Sets nonlinear optimization method (e.g.Newton-Raphson with step halving).

setOptimizeLambda(boolean) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

setOptimizingSignature(ETSOptimizingSignature) - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Sets optimizing signature for fitting procedure

setOutAttributesPhysicalDataName(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterTask

setOutEdgesPhysicalDataName(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterTask

setOutliersCriterion(InfluenceDiagnostic) - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Sets the influence diagnostics criterion to identify outliers.

setOutliersToRemove(double) - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Sets the number of outliers to be removed from data (0 if none).

setOutputAttributeUsageSet(AttributeUsageSet) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

setOutputLayerActivationFunction(NeuronActivationFunctionType) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Sets activation function type for output layer.

setOutputModelName(String) - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

Sets output model name.

setOutputNetworkName(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterTask

setOutputPhysicalDataName(String) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

setOutputPhysicalDataName(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaTask

setOutputTransformationName(String) - Method in interface biz.sc.mm.dm.task.ScoringCodeBuildTask

Sets transformation model name.

setOutputType(Enum) - Method in interface biz.sc.mm.dm.task.ModelOutputItem

Sets the type of output for values assigned by model.

setOutRole(TableRole, TableRole) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

setOwner(ClassifiersEnsembleModelImpl) - Method in interface biz.sc.mm.dm.algorithm.ensembles.EnsembleItem

setP(int) - Method in interface biz.sc.mm.dm.algorithm.timeseries.garch.GARCHSettings

setParameter(String, double) - Method in interface biz.sc.mm.dm.supervised.statistical.ManuallyModifiedModel

Modifies parameter's coefficient and the standardized coefficient.

setParameterUpdateMethod(ParameterUpdateMethod) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setParams(String, HashMap) - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

setPearsonBasedSweepMode(boolean) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

setPenalty(RegularizedRegressionPenalty) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedLogisticRegressionSettings

setPenaltyGamma(double) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedLogisticRegressionSettings

setPenaltyThreshold(double) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

setPhysicalDataName(String) - Method in interface biz.sc.mm.dm.algorithm.deduplication.MatchingTask

Sets the physical data name for the given task.

setPhysicalDataName(String) - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionTask

setPhysicalDataName(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildTask

setPhysicalDataName(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterTask

setPhysicalDataName(String) - Method in interface biz.sc.mm.dm.supervised.approximation.CalculateApproximationTestResultTask

Sets name of PhysicalData object with data used for calculation.

setPhysicalDataName(String) - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Sets name of PhysicalData object with data used for calculation.

setPhysicalDataName(String) - Method in interface biz.sc.mm.dm.task.CalculateStatisticsTask

Sets the name of data physical which will be used to calculate statistics.

setPhysicalDataName(String) - Method in interface biz.sc.mm.dm.task.TransformationBuildTask

Sets the name of data physical which will be used to build transformation.

setPositiveBinaryTargetThreshold(double) - Method in interface biz.sc.mm.dm.supervised.classification.BaseClassificationTestTask

Sets positive binary target treshold.

setPositiveCategoryApriori(double) - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Sets the positive category apriori probability (population probability).

setPositiveTargetCategory(Object) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseSignature

setPositiveTargetCategory(Object) - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleSettings

setPositiveTargetCategory(Object) - Method in interface biz.sc.mm.dm.algorithm.gam.LogisticGAMSettings

setPositiveTargetCategory(Object) - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionSettings

setPositiveTargetCategory(Object) - Method in interface biz.sc.mm.dm.algorithm.mars.LogisticMARSSettings

setPositiveTargetCategory(Object) - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesSettings

setPositiveTargetCategory(Object) - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Sets the positive category of the target attribute.

setPositiveTargetCategory(Object) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedLogisticRegressionSettings

setPositiveTargetCategoryRatio(double) - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

setPositiveTargetValue(Object) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Sets positive value of a target attribute for which statistics should be calculated.

setPositiveTargetValue(Object) - Method in interface biz.sc.mm.dm.supervised.classification.BaseClassificationTestTask

Set positive target value.

setPositiveValueProbabilityName(String) - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Deprecated.

As of Platform version 1.0, use setScore(score)

setPostEstimationMode(boolean) - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

setPostfixNr(int) - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettings

setPostfixNumber(int) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluatorSettings

setPredicates(Predicate[]) - Method in interface biz.sc.mm.dm.modelstats.tree.Split

Sets children predicates

setPredictedName(String) - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Deprecated.

As of Platform version 1.0, use setPredictedTarget(predictedName)

setPredictedTarget(String) - Method in interface biz.sc.mm.dm.supervised.approximation.CalculateApproximationTestResultTask

Sets name of a column with target value predicted by a model.

setPredictedTarget(String) - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Sets name of a column with target value predicted by a model.

setPredictedValue(Object) - Method in interface biz.sc.mm.dm.modelstats.tree.classification.ClassificationNode

Sets the target value predicted by this node.

setPrefix(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettings

setPrefix(String) - Method in interface biz.sc.mm.dm.supervised.survival.SurvivalApplyOutput

Sets the attribute name prefix, which is used for naming the output attributes.

setPrefix(String) - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesApplyOutput

Sets the attribute name prefix, which is used for naming the output attributes.

setPreselection(boolean) - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Sets preselection statistic switch value.

setPrior(MultivariateDistribution) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setProbability(boolean) - Method in class biz.sc.util.LiftCoordinatesSettings

setProbAggregate(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.BoostedTreesSettings

setProcessedTable(TableRole) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

setProcessType(ProcessType) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMCommonSettings

setProposedValues(Object, Object[]) - Method in interface biz.sc.mm.dm.data.Attribute

Sets the proposed values for given key.

setPruneOversampled(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.TreeSettings

Experimental feature.

setPruneTree(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

Decides whether tree will be pruned after building.

setPruneValidation(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

setPrunningStat(PrunningStat) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.TreeSettings

setQ(int) - Method in interface biz.sc.mm.dm.algorithm.timeseries.arch.ARCHSettings

setQualityImprovementThreshold(double) - Method in interface biz.sc.mm.dm.algorithm.abm.ConditionalModule

setRandomization(boolean) - Method in interface biz.sc.mm.dm.algorithm.bivariate.BivariateProbitSettings

Sets Newton-Raphson algorithm randomization switch value.

setRandomization(Boolean) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Sets randomization of training examples.

setRandomize(boolean) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

setRandomSeed(long) - Method in interface biz.sc.mm.dm.algorithm.bivariate.BivariateProbitSettings

Sets the seed value for a random number generator used by simulated annealing.

setRandomWalkInit(double[]) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setRatio(double) - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

setReadReversedData(boolean) - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Sets reversed ordering of reading data: true=reversed order, false=normal order

setRecalculate(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.Interactions

setRecalculate(boolean) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluatorSettings

setRecalculate(boolean) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Sets whether statistics should be recalculated.

setRedundantValue(Object) - Method in interface biz.sc.mm.dm.data.BinarizeAttribute

Sets the redundant value for this attribute.

setRegressionModelName(String) - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardSettings

setRegularizedLinearRegressionSettings(RegularizedLinearRegressionSettings) - Method in interface biz.sc.mm.dm.algorithm.abm.RowOutliers

setRegularizedLogisticRegressionSettings(RegularizedLogisticRegressionSettings) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

setRepeatCount(int) - Method in interface biz.sc.mm.dm.base.Trigger

Set the the number of time the Trigger should repeat, after which it will be automatically deleted.

setRepeatCountLeft(int) - Method in interface biz.sc.mm.dm.base.Trigger

setRepeatInterval(long) - Method in interface biz.sc.mm.dm.base.Trigger

Set the time interval (in milliseconds) at which the Trigger should repeat.

setReplaceExistingData(Boolean) - Method in interface biz.sc.mm.dm.task.ApplyTask

Behaviour of task if the target data already exists.

setReplaceMissingType(ReplaceMissingType) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

setReplaceMissingValue(Object) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

setReplaceType(ReplaceMissingType) - Method in interface biz.sc.mm.dm.data.ReplaceMissingAttribute

setResidualThreshold(double) - Method in interface biz.sc.mm.dm.algorithm.abm.RowOutliers

setReversibleSweepMode(boolean) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

setReweightingMode(ReweightingMode) - Method in interface biz.sc.mm.dm.supervised.classification.BaseClassificationTestTask

Sets the observation reweighting mode.

setRTolerance(double) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setRules(List<Rule>) - Method in interface biz.sc.mm.dm.algorithm.abm.TranslationResult

setSample(Sample) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

setSamplesNumber(int) - Method in interface biz.sc.mm.dm.algorithm.abm.ModelTranslator

setSampleTestTable(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

setSamplingFromPrior(boolean) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setSamplingMode(SamplingMode) - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

setSaveTrees(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

setScore(String) - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Sets name of a column with score returned by a model.

setScores(AttributeSet<Attribute>) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

setScores(AttributeSet<Attribute>) - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionTask

setScriptList(ArrayList) - Method in interface biz.sc.mm.dm.base.Trigger

Set the scripts list to be executed by trigger.

setSearchStrategy(SearchStrategy) - Method in interface biz.sc.mm.dm.supervised.statistical.OptimizationAlgorithmSettings

setSearchType(SearchType) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets winner searching type.

setSeed(Integer) - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

setSeed(Integer) - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

setSeed(Integer) - Method in interface biz.sc.mm.dm.algorithm.abm.Split

setSeed(long) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Sets value of seed.

setSeed(long) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets value of seed.

setSeed(int) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setSeed(int) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

setSegments(Segment[]) - Method in interface biz.sc.mm.dm.modelstats.kohonen.Map

Sets segments.

setSelected(boolean) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluatorSettings

setSelectedClusterId(int) - Method in interface biz.sc.mm.dm.clustering.ClusterIdItem

Sets cluster id for this item.

setSelectedScoreNames(String[]) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionTask

setSelectedTargetCategory(Object) - Method in interface biz.sc.mm.dm.supervised.classification.ClassificationCategoryItem

Specifies category value for this item.

setSettings(MiningAlgorithmSettings) - Method in interface biz.sc.mm.dm.algorithm.abm.BuildModel

setSettings(FeatureEvaluatorSettings) - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelection

setSettings(TransformationSettings) - Method in interface biz.sc.mm.transformation.parameters.TransformationParameters

setSettings(LiftCoordinatesSettings) - Method in class biz.sc.util.LiftCoordinates

setSettingsName(String) - Method in interface biz.sc.mm.dm.algorithm.gwaselection.GWASelectionTask

setSettingsName(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildTask

setSettingsName(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaFilterTask

setSignatureAttributeName(String) - Method in interface biz.sc.mm.dm.data.SignatureAssignment

Sets attribute name in signature, that this assignement maps to.

setSignatureBeta(double[]) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionModel

setSignatureName(String) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMCommonSettings

setSignatureStandardizedBeta(double[]) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionModel

setSimulationsNumber(int) - Method in interface biz.sc.mm.dm.algorithm.abm.InteractionsTreeSettings

setSize(int) - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

setSmoothHistograms(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

If true, histograms in split statistics will be smooth, using kernel density estimation method

setSmoothingFactor(double) - Method in interface biz.sc.mm.dm.algorithm.naivebayes.NaiveBayesSettings

setSnaSettingsName(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaTask

setSort(boolean) - Method in interface biz.sc.mm.dm.algorithm.ets.ETSAlgorithmSettings

Sets sorting in reading data

setSource(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildSettings

setSourceDataName(String) - Method in interface biz.sc.mm.dm.task.ApplyTask

Sets reference to physical data object with specification of the data to be applied.

setSourceName(String) - Method in interface biz.sc.mm.dm.task.ApplySourceItem

Sets the name of attribute from input data for applying

setSourceNode(long) - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.FilterFactory

setSplineModels(SplineModelImpl[]) - Method in interface biz.sc.mm.dm.algorithm.gam.GAMModel

setSplineModels(SplineParametersImpl[]) - Method in interface biz.sc.mm.transformation.parameters.GAMParameters

setSplitEvaluation(SplitEvaluation) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.TreeSettings

The split assessing criterion.

setSplitEvaluation(RegressionSplitEvaluation) - Method in interface biz.sc.mm.dm.algorithm.tree.regression.RegressionTreeSettings

The split assessing criterion.

setSplitEvaluationVariability(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

setSplits(double[]) - Method in interface biz.sc.mm.dm.algorithm.gam.SplineModel

setSplits(double[]) - Method in interface biz.sc.mm.transformation.parameters.SplineParameters

setSplitSampling(int) - Method in interface biz.sc.mm.dm.algorithm.tree.BaseTreeSettings

setSquareSimilarity(boolean) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingAlgorithmSettings

Set the "square similarity" flag.

setStandardizedTau(double[]) - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

setStandardizedTau(double[]) - Method in interface biz.sc.mm.transformation.parameters.MARSParameters

setStartTime(Date) - Method in interface biz.sc.mm.dm.base.Trigger

Set the the number of time the Trigger should repeat, after which it will be automatically deleted.

setStatisticsSettings(StatisticsSettings) - Method in interface biz.sc.mm.dm.task.CalculateStatisticsTask

Sets StatisticsSettings object.

setStdDev(double[]) - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

setStratificationMode(StratificationMode) - Method in interface biz.sc.mm.dm.algorithm.abm.Sample

setStratifiedSampling(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

setSubsetForNulls(int) - Method in interface biz.sc.mm.dm.modelstats.tree.Split

Sets which subset is going to be used to process null cases.

setSubsetForNulls(int) - Method in interface biz.sc.mm.dm.modelstats.tree.SplitStats

Which subset gets the null cases.

setSubsweepMode(boolean) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

setSurvivalEstimator(NonparametricSurvivalEstimator) - Method in interface biz.sc.mm.dm.algorithm.survival.nonparametric.NonparametricSurvivalSettings

Sets the nonparametric survival estimator type: product-limit(Kaplan-Meier) or life-table.

setTableName(String) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

setTableName(String) - Method in interface biz.sc.mm.transformation.DataObjectSet

Sets table name.

setTakeWholeChains(boolean) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setTarget(DataObjectSet) - Method in interface biz.sc.mm.dm.algorithm.deduplication.MatchingTask

Set the target table for matching.

setTarget(String) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

setTarget(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildSettings

setTarget(String) - Method in interface biz.sc.mm.dm.supervised.approximation.CalculateApproximationTestResultTask

Sets name of a column with target value.

setTarget(String) - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Sets name of a column with target value.

setTarget(String) - Method in interface biz.sc.mm.dm.supervised.MiningTestTask

Sets name of the target attribute.

setTarget(String) - Method in interface biz.sc.mm.dm.supervised.SupervisedFunctionSettings

Sets the name of target attribute.

setTargetAttribute(String) - Method in interface biz.sc.mm.dm.data.AttributeUsageSet

Sets attribute usage to target.

setTargetAttributeName(String) - Method in interface biz.sc.mm.dm.supervised.SupervisedFunctionSettings

Deprecated.

As of Platform version 1.0, use setTarget(attributeName)

setTargetCategoriesOrder(TargetCategoriesOrder) - Method in interface biz.sc.mm.dm.algorithm.regression.logistic.LogisticRegressionSettings

Sets the order of the target categories (e.g. data or alphabetical order).

setTargetDataName(String) - Method in interface biz.sc.mm.dm.task.ApplyTask

Sets reference to target data, to which output will be written.

setTargetName(String) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseSignature

setTargetName(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Sets name of a target attribute for which statistics should be calculated.

setTargetType(AttributeType) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

Sets the type of target attribute.

setTau(double[]) - Method in interface biz.sc.mm.dm.algorithm.gam.SplineModel

setTau(double[]) - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

setTau(double[]) - Method in interface biz.sc.mm.transformation.parameters.MARSParameters

setTau(double[]) - Method in interface biz.sc.mm.transformation.parameters.SplineParameters

setTauLower(double[]) - Method in interface biz.sc.mm.dm.algorithm.gam.SplineModel

setTauLower(double[]) - Method in interface biz.sc.mm.transformation.parameters.SplineParameters

setTauUpper(double[]) - Method in interface biz.sc.mm.dm.algorithm.gam.SplineModel

setTauUpper(double[]) - Method in interface biz.sc.mm.transformation.parameters.SplineParameters

setTestDataName(String) - Method in interface biz.sc.mm.dm.task.CommonTestTask

Sets name of the physical data used in this task.

setTestDataTargetAttributeName(String) - Method in interface biz.sc.mm.dm.supervised.MiningTestTask

Deprecated.

As of Platform version 1.0, use setTarget(name)

setTestResultName(String) - Method in interface biz.sc.mm.dm.supervised.approximation.CalculateApproximationTestResultTask

Sets name of the object, which holds the results of runing this task.

setTestResultName(String) - Method in interface biz.sc.mm.dm.supervised.classification.CalculateTestResultTask

Sets name of the object, which holds the results of runing this task.

setTestResultName(String) - Method in interface biz.sc.mm.dm.supervised.MiningTestTask

Sets name of the object, which holds the results of runing this task.

setThin(int) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setThreadCount(int) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

setThreadCount(int) - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelection

setThreadCount(int) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureSelectionSettings

setThreadCount(int) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaSettings

setThreads(int) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.BoostedTreesSettings

setTimeout(int) - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

setTimePeriod(TimePeriod) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setTimePointAttributeName(String) - Method in interface biz.sc.mm.dm.supervised.ets.ETSFunctionSettings

Sets name of time point attribute

setTimePointAttributeName(String) - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesFunctionSettings

Sets the name of time point attribute.

setTimePointAttributeName(String) - Method in interface biz.sc.mm.dm.supervised.timeseries.TimeSeriesTestTask

Sets the name of time point attribute.

setTimepointName(String) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseSignature

setTimeSeriesModelQualityMeasure(TimeSeriesModelQualityMeasure) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setTooLarge(boolean) - Method in interface biz.sc.mm.dm.algorithm.socialnets.visual.VisualizationTask

setTopNthIndex(int) - Method in interface biz.sc.mm.dm.task.RankItem

Sets index of prediction.

setTorus(boolean) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets torus.

setTotalNodes(int) - Method in interface biz.sc.mm.dm.modelstats.tree.MultipleTreeModelStatistics

setTrainSize(int) - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

setTransformation(Transformation) - Method in interface biz.sc.mm.dm.base.MiningModel

setTransformation(ScoringCodeTransformation) - Method in interface biz.sc.mm.dm.scoringcode.MiningModelScoringCodeBody

setTransformation(ScoringCodeTransformation) - Method in interface biz.sc.mm.dm.scoringcode.ScoringCodeModel

setTransformationName(String) - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardSettings

setTransformationName(String) - Method in interface biz.sc.mm.dm.task.TransformationApplyTask

setTransformationName(String) - Method in interface biz.sc.mm.dm.task.TransformationBuildTask

Sets the name of the transformation runed by this task.

setTransformationSettingsName(String) - Method in interface biz.sc.mm.dm.task.TransformationBuildTask

Set the settings of transformation.

setTransformedNames(Set<String>) - Method in interface biz.sc.mm.transformation.TransformationSetsHandler

setTransformedTarget(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.DerivedVariables

setTransformedVarNames(String[]) - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

setTransformedVarNames(String[]) - Method in interface biz.sc.mm.transformation.parameters.MARSParameters

setTransformedVarNum(int) - Method in interface biz.sc.mm.transformation.parameters.MARSParameters

setTreeSettings(TreeSettings) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.BoostedTreesSettings

setTriangularSweepMode(boolean) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

setTriggerFrequencyType(TriggerFrequencyType) - Method in interface biz.sc.mm.dm.base.Trigger

setTriggerMutexName(String) - Method in interface biz.sc.mm.dm.base.ScriptWrapper

setTrueNegativeCost(double) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setTrueNegativeProfit(double) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setTruePositiveCost(double) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setTruePositiveProfit(double) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMSettings

setTune(double[]) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setTuneValue(double) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setTunnedAcceptanceLevel(double) - Method in interface biz.sc.mm.dm.algorithm.mcmc.logistic.MCMCLogisticRegressionSettings

setUIndexLimit(double) - Method in interface biz.sc.mm.dm.algorithm.abm.UsageFinderSettings

setUpperOutlier(double) - Method in interface biz.sc.mm.dm.algorithm.abm.BaseAttribute

setUsage(String, MatchingUsage) - Method in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Set the MatchingUsage for the given attribute in the AttributeUsageSet

setUsage(Enum) - Method in interface biz.sc.mm.dm.data.AttributeUsage

Sets usage of this attribute.

setUsageFinderSettings(UsageFinderSettings) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMDataLearnerSettings

setUsageName(String) - Method in interface biz.sc.mm.dm.data.AttributeUsage

Sets usage of this attribute.

setUseThreads(boolean) - Method in interface biz.sc.mm.dm.algorithm.abm.ABMTask

setUseUserTimeZone(boolean) - Method in interface biz.sc.mm.dm.base.Trigger

setUseValueFrequency(boolean) - Method in interface biz.sc.mm.dm.algorithm.deduplication.ProbabilityMatchingAlgorithmSettings

Decide wheter or not use probabilities based on attributes' values frequencies.

setUseVariables(int[]) - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

setUseWeights(boolean) - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettings

setUsingCustomApriori(boolean) - Method in class biz.sc.util.LiftCoordinatesSettings

setValidationCount(double) - Method in interface biz.sc.mm.dm.modelstats.tree.Node

Sets the total number of observations that fall into this node.

setValidationDataName(String) - Method in interface biz.sc.mm.dm.task.MiningBuildTask

Gets the name of data which will be used to validate model.

setValidationErrorTolerance(double) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Sets the factor of acceptable validation error according to current minimal validation error in modeling the training data.

setValidationErrorTolerance(double) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets the factor of acceptable validation error according to current minimal validation error in modeling the training data.

setValidationValueCount(int, double) - Method in interface biz.sc.mm.dm.modelstats.tree.classification.ClassificationNode

Sets the number of observations in validation set with specified target value.

setValidationWindow(int) - Method in interface biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardNeuralNetSettings

Sets validation window value.

setValidationWindow(int) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets a new size of validation window.

setValidSize(int) - Method in interface biz.sc.mm.dm.algorithm.abm.CrossValidation

setValue(Object, Object) - Method in interface biz.sc.mm.dm.data.Attribute

Sets the custom value for given key.

setValue(Object, Object) - Method in interface biz.sc.mm.dm.data.AttributeSet

Sets the custom value for given key.

setValue(double) - Method in interface biz.sc.mm.dm.modelstats.kmean.Coordinate

Sets coordinate value.

setValue(boolean) - Method in interface biz.sc.mm.dm.modelstats.tree.BooleanPredicate

Sets the boolean value

setValue(Object) - Method in interface biz.sc.mm.dm.scoringcard.ScoringCardCategory

setValueCount(int, double) - Method in interface biz.sc.mm.dm.modelstats.tree.classification.ClassificationNode

Sets the number of observations in training set with specified target value.

setValueForSet(Object, Object) - Method in interface biz.sc.mm.dm.data.AttributeSet

Sets value for given key, for all attributes from set.

setValues(Map<Object, Object>) - Method in interface biz.sc.mm.dm.data.Attribute

Sets the custom values for given keys.

setVar1Max(double) - Method in class biz.sc.mm.dm.data.DoubleHistogram2D

setVar1Min(double) - Method in class biz.sc.mm.dm.data.DoubleHistogram2D

setVar2Max(double) - Method in class biz.sc.mm.dm.data.DoubleHistogram2D

setVar2Min(double) - Method in class biz.sc.mm.dm.data.DoubleHistogram2D

setVariableSampling(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

setVariableSelectionMethod(VariableSelectionMethod) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Sets the current variable selection method.

setVariableSelectionSettings(VariableSelectionSettings) - Method in interface biz.sc.mm.dm.supervised.statistical.StatisticalSettings

Sets variable selection settings.

setVariableSignificanceMode(VariableSignificanceMode) - Method in interface biz.sc.mm.dm.supervised.statistical.VariableSelectionSettings

Sets other than standard (LikelihoodRatio,Type2SS) variable significance tests, e.g. based on scoring criteria (ROC/AUC, K-S).

setVariablesNumber(int) - Method in interface biz.sc.mm.dm.algorithm.abm.ModelTranslator

setVarNames(String[]) - Method in interface biz.sc.mm.dm.algorithm.gam.GAMModel

setVarNames(String[]) - Method in interface biz.sc.mm.dm.algorithm.mars.MARSModelBase

setVarNames(String[]) - Method in interface biz.sc.mm.transformation.parameters.GAMParameters

setVarNames(String[]) - Method in interface biz.sc.mm.transformation.parameters.MARSParameters

setVertexId(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaSettings

setWeight(String, double) - Method in interface biz.sc.mm.dm.algorithm.deduplication.WeightedMatchingFunctionSettings

Set the Weight for the given attribute in the AttributeUsageSet

setWeight(double) - Method in interface biz.sc.mm.dm.algorithm.ensembles.EnsembleItem

setWeight(String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.SnaBuildSettings

setWeight(String) - Method in interface biz.sc.mm.dm.supervised.classification.BaseClassificationTestTask

Sets name of a column with weight value.

setWeightFromValidErr(boolean) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

setWeightingStat(PrunningStat) - Method in interface biz.sc.mm.dm.algorithm.tree.classification.SmartTreesSettings

setWeightName(String) - Method in interface biz.sc.mm.dm.statistics.StatisticsSettings

setWeightName(String) - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

setWeightTuningConstant(double) - Method in interface biz.sc.mm.dm.algorithm.regression.weighted.WeightedRegressionSettings

Sets weight tuning constant.

setWeightType(WeightType) - Method in interface biz.sc.mm.dm.algorithm.regression.weighted.WeightedRegressionSettings

Sets the weight type (e.g.student, huber).

setWidth(int) - Method in interface biz.sc.mm.dm.algorithm.kohonen.KohonenSettings

Sets map width.

setYMean(double) - Method in interface biz.sc.mm.dm.algorithm.gam.SplineModel

setYMean(double) - Method in interface biz.sc.mm.transformation.parameters.SplineParameters

setZeroThreshold(double) - Method in interface biz.sc.mm.dm.algorithm.abm.FeatureSelection

setZeroThreshold(double) - Method in interface biz.sc.mm.dm.algorithm.regularizedregression.RegularizedRegressionSettings

Signature - Interface in biz.sc.mm.dm.algorithm.abm

SIGNATURE - Static variable in interface biz.sc.mm.dm.base.MiningModel

Signature - Interface in biz.sc.mm.dm.data

The model signature is a description of the input needed to apply a data mining model.

SignatureAssignment - Interface in biz.sc.mm.dm.data

Maps from Input Physical Data to model signature.

SignatureAssignmentFactory - Interface in biz.sc.mm.dm.data

Factory for SignatureAssignment.

SignatureAttribute - Interface in biz.sc.mm.dm.data

A SignatureAttribute object describes the input expected to a model.

Simple2DData - Interface in biz.sc.util

SimplePredicate - Interface in biz.sc.mm.dm.modelstats.tree

Represents predicate on single attribute value.

SimplePredicateFactory - Interface in biz.sc.mm.dm.modelstats.tree

Factory for creating Simple Predicates.

size() - Method in interface biz.sc.mm.dm.algorithm.ensembles.ClassifiersEnsembleModel

size() - Method in class biz.sc.mm.dm.data.AttribMapping

size() - Method in interface biz.sc.mm.dm.data.CategorySet

Returns number of categories int the set

size() - Method in class biz.sc.util.LiftCoordinates

size() - Method in interface biz.sc.util.Simple2DData

Returns size of the data set

SKEWNESS - Static variable in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesSelector

skip - Static variable in class biz.sc.mm.dm.algorithm.mcmc.DegeneratedAttributesProcessingMethod

SmartTreesSettings - Interface in biz.sc.mm.dm.algorithm.tree.classification

Algorithm settings for Smart many trees algorithm.

SmartTreesSettingsFactory - Interface in biz.sc.mm.dm.algorithm.tree.classification

Factory object used to create SmartTreesSettings instance.

SnaAttributeUsage - Class in biz.sc.mm.dm.algorithm.socialnets

SnaBuildSettings - Interface in biz.sc.mm.dm.algorithm.socialnets

SnaBuildSettingsFactory - Interface in biz.sc.mm.dm.algorithm.socialnets

SnaBuildTask - Interface in biz.sc.mm.dm.algorithm.socialnets

SnaBuildTaskFactory - Interface in biz.sc.mm.dm.algorithm.socialnets

SnaFilterSettings - Interface in biz.sc.mm.dm.algorithm.socialnets

SnaFilterTask - Interface in biz.sc.mm.dm.algorithm.socialnets

SnaSettings - Interface in biz.sc.mm.dm.algorithm.socialnets

SnaSettingsFactory - Interface in biz.sc.mm.dm.algorithm.socialnets

SnaTask - Interface in biz.sc.mm.dm.algorithm.socialnets

SnaTaskFactory - Interface in biz.sc.mm.dm.algorithm.socialnets

som - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ClusteringLearningAlgorithmType

SOM algorithm type

SOMAlgorithm - Interface in biz.sc.mm.dm.algorithm.kohonen

Interface for SOM algorithm.

sort(Comparator<String>) - Method in interface biz.sc.mm.dm.data.AttributeSet

Sorts attributes by name, using comparator.

SortOrder - Class in biz.sc.mm.dm

The enumeration SortOrder defines choices for sort order for a set of objects retrieved from the DME.

source - Variable in class biz.sc.mm.dm.data.AttribMapping.Entry

SplineModel - Interface in biz.sc.mm.dm.algorithm.gam

SplineParameters - Interface in biz.sc.mm.transformation.parameters

Created by Małgorzata Kudelska on 2015-03-24.

Split - Interface in biz.sc.mm.dm.algorithm.abm

Split - Interface in biz.sc.mm.dm.modelstats.tree

Contains all information for split on a single attribute: possible split values, and train and validation data statistics for each value.

SplitEvaluation - Class in biz.sc.mm.dm.algorithm.tree.classification

Defines split evaluation function used by classification tree algorithm.

SplitFactory - Interface in biz.sc.mm.dm.algorithm.abm

SplitResult - Interface in biz.sc.mm.dm.algorithm.abm

SplitStats - Interface in biz.sc.mm.dm.modelstats.tree

Split statistics for a split.

SplitValue - Interface in biz.sc.mm.dm.modelstats.tree

Contains information needed to split specified attribute into subsets.

SQL - Static variable in class biz.sc.mm.dm.scoringcode.ScoringCodeType

sql - Static variable in class biz.sc.mm.transformation.TransformationLanguage

SQL_GDBASE - Static variable in class biz.sc.mm.dm.scoringcode.ScoringCodeType

SQL_MSSQL - Static variable in class biz.sc.mm.dm.scoringcode.ScoringCodeType

SQL_MYSQL - Static variable in class biz.sc.mm.dm.scoringcode.ScoringCodeType

SQL_ORACLE - Static variable in class biz.sc.mm.dm.scoringcode.ScoringCodeType

SQL_POSTGRES - Static variable in class biz.sc.mm.dm.scoringcode.ScoringCodeType

SQL_SAS - Static variable in class biz.sc.mm.dm.scoringcode.ScoringCodeType

SQL_SYBASE - Static variable in class biz.sc.mm.dm.scoringcode.ScoringCodeType

SQL_TERADATA - Static variable in class biz.sc.mm.dm.scoringcode.ScoringCodeType

SQLITE - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

SQLUtils - Class in biz.sc.mm.dm.data

SQLUtils() - Constructor for class biz.sc.mm.dm.data.SQLUtils

SQR - Static variable in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesType

SQRT - Static variable in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesType

sse - Static variable in class biz.sc.mm.dm.algorithm.tree.classification.PrunningStat

standard - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ModificationFunction

standard modification

standard - Static variable in class biz.sc.mm.dm.supervised.statistical.VariableSignificanceMode

Standard significance test (e.g.

standardize - Static variable in class biz.sc.mm.transformation.TransformationType

StandardizeParameters - Interface in biz.sc.mm.transformation.parameters

StatisticalModel - Interface in biz.sc.mm.dm.supervised.statistical

Common interface for all statistical models (regression models and likelihood-based models).

StatisticalModelStatistics - Interface in biz.sc.mm.dm.modelstats.statistical

Model statistics common for all statistical models.

StatisticalSettings - Interface in biz.sc.mm.dm.supervised.statistical

Basic statistical settings (common for regression, survival, etc. methods).

StatisticsAttribute - Interface in biz.sc.mm.dm.data

This class describes the representation of attribute with its statistics.

StatisticsAttributeSet - Interface in biz.sc.mm.dm.data

Set for statistics attributes.

StatisticsResult - Interface in biz.sc.mm.dm.statistics

A StatisticsResult interface contains results of calculate statistics task.

StatisticsSet - Interface in biz.sc.mm.dm.statistics

A StatisticsSet interface contains set of calculated statistics.

StatisticsSettings - Interface in biz.sc.mm.dm.statistics

Specifies which statistics should be calculated.

StatisticsSettingsFactory - Interface in biz.sc.mm.dm.statistics

Factory for StatisticsSettings objects.

StatTest - Class in biz.sc.mm.dm.algorithm.featureselection

stdCoeff - Static variable in class biz.sc.mm.dm.modelstats.statistical.VariableStatistic

estimated standardized coefficient

stdErr - Static variable in class biz.sc.mm.dm.modelstats.statistical.VariableStatistic

estimator standard error

step - Static variable in class biz.sc.mm.dm.algorithm.regression.weighted.WeightType

Step weight

stepwise - Static variable in class biz.sc.mm.dm.supervised.statistical.VariableSelectionMethod

Stepwise Selection method

StratificationMode - Class in biz.sc.mm.dm.algorithm.abm

STRATIFIED_K_FOLD - Static variable in class biz.sc.mm.dm.algorithm.abm.CrossValidationType

StringMetric - Interface in biz.sc.mm.dm.algorithm.deduplication.metrics

The StringMetric interface captures the functionality necessary for performing the evaluation of the similarity between two strings according to some metric.

StringMetricFactory - Interface in biz.sc.mm.dm.algorithm.deduplication.metrics

A factory for StringMetric objects.

StringProcessor - Interface in biz.sc.mm.dm.algorithm.deduplication.customcode

An interface used for custom preprocessing.

StringProcessorFactory - Interface in biz.sc.mm.dm.algorithm.deduplication.customcode

A factory used for building objects implementing the StringProcessor interface.

StringProcessorPrepare - Interface in biz.sc.mm.dm.algorithm.deduplication.customcode

An interface used for building code used for string preprocessing.

StringProcessorPrepareFactory - Interface in biz.sc.mm.dm.algorithm.deduplication.customcode

A factory for objects implementing the StringProcessorPrepare interface.

stringType - Static variable in class biz.sc.mm.dm.data.AttributeDataType

The type of this attribute values is string.

student - Static variable in class biz.sc.mm.dm.algorithm.regression.weighted.WeightType

Student weight

STUDENT_T - Static variable in class biz.sc.mm.dm.algorithm.featureselection.StatTest

STUDENT_T_PAIRED - Static variable in class biz.sc.mm.dm.algorithm.featureselection.StatTest

studentResidual - Static variable in class biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionOutputType

Output will contain value of the residuals for a given observation.

studentResidual - Static variable in class biz.sc.mm.dm.modelstats.statistical.regression.linear.LinearInfluenceDiagnostic

The studentized residuals for a given observation.

SUBSET_FOR_NULLS_NOT_SET - Static variable in interface biz.sc.mm.dm.modelstats.tree.Split

If the subset's index has not been set yet.

sumSquared - Static variable in class biz.sc.mm.dm.algorithm.feedforwardneuralnet.FeedforwardErrorFunctionType

standard sum squared error function type

SupervisedAlgorithmSettings - Interface in biz.sc.mm.dm.supervised

Base settings for supervised algorithms.

SupervisedFunctionSettings - Interface in biz.sc.mm.dm.supervised

A SupervisedFunctionSettings is a subclass of MiningFunctionSettings that supports features that are unique and shared by supervised functions, e.g., classification and approximation, as well as algorithms, e.g., decision trees and neural networks.

SupervisedModel - Interface in biz.sc.mm.dm.supervised

A SupervisedModel is a subclass of MiningModel that supports features that are unique and shared by supervised models.

supplementary - Static variable in class biz.sc.mm.dm.UsageOption

Indicates that the attribute is not used for the mining function.

supportsCategoricalTarget() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluatorSettings

supportsNumericalTarget() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluatorSettings

SurvivalAlgorithmSettings - Interface in biz.sc.mm.dm.supervised.survival

Common settings shared by all survival algorithms.

SurvivalApplyOutput - Interface in biz.sc.mm.dm.supervised.survival

Apply output specification for survival applying process.

SurvivalApplyOutputFactory - Interface in biz.sc.mm.dm.supervised.survival

Factory for SurvivalApplyOutput.

SurvivalFunctionSettings - Interface in biz.sc.mm.dm.supervised.survival

SurvivalFunctionSettings is an extension of SupervisedFunctionSettings containing features that are unique and shared by all survival functions and algorithms (e.g.censor attribute management).

SurvivalFunctionSettingsFactory - Interface in biz.sc.mm.dm.supervised.survival

Factory for Survival Function settings.

SurvivalModel - Interface in biz.sc.mm.dm.supervised.survival

Common interface for all survival models (nonparametric, semiparametric, parametric).

SurvivalModelStatistics - Interface in biz.sc.mm.dm.modelstats.survival

Model statistics common for all survival models.

SurvivalTestResult - Interface in biz.sc.mm.dm.supervised.survival

The result of the survival test task applied to a survival model.

SurvivalTestTask - Interface in biz.sc.mm.dm.supervised.survival

SurvivalTestTask represents a task assessing the survival model quality.

SurvivalTestTaskFactory - Interface in biz.sc.mm.dm.supervised.survival

Factory for SurvivalTestTask.

SurvivalUsageOption - Class in biz.sc.mm.dm.supervised.statistical.survival

Usage options specific for survival models.

SweepDataModel - Interface in biz.sc.mm.dm.algorithm.likelihood.data

SYBASE - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

Sybase database.

T

T_STATISTICS - Static variable in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesSelector

TableRole - Class in biz.sc.mm.dm.algorithm.abm

TARGET - Static variable in class biz.sc.mm.dm.algorithm.abm.ABMAttributeUsage

target - Static variable in class biz.sc.mm.dm.UsageOption

Indicates that the attribute is active and used as a target for supervised model.

target2 - Static variable in class biz.sc.mm.dm.supervised.statistical.classification.bivariate.BivariateUsageOption

Target attribute for the screening (censoring) equation.

TargetAnalysis - Interface in biz.sc.mm.dm.supervised.classification

Provides some common statistics calculated using confusion matrix.

TargetCategoriesOrder - Class in biz.sc.mm.dm.supervised.statistical

The order of the target categories (e.g. data or alphabetical order).

Task - Interface in biz.sc.mm.dm.base

MiningTask object instance interface.

TaskResult - Interface in biz.sc.mm.dm.base

TaskResults are objects created by tasks.

TERADATA - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

Teradata database.

TEST - Static variable in class biz.sc.mm.dm.algorithm.abm.TableRole

TEST_DATA - Static variable in interface biz.sc.mm.dm.supervised.MiningTestResult

TestMessage - Interface in biz.sc.mm.dm

Single message returned after performing internal integrity check in CWM objects.

TestMessageType - Class in biz.sc.mm.dm

Represents type of message reported by Górnik MM object integrity check.

TestReport - Interface in biz.sc.mm.dm

Report returned after performing G�rnik MM object integrity check.

TESTS - Static variable in class biz.sc.mm.dm.algorithm.featureselection.StatTest

TieHandlingMethod - Class in biz.sc.mm.dm.algorithm.survival.cox

Tie handling method for Cox model likelihood function (Breslow, Efron, exact or discrete logistic).

TIME_SERIES - Static variable in class biz.sc.mm.dm.algorithm.abm.ProcessType

TimePeriod - Class in biz.sc.mm.dm.algorithm.abm

TIMEPOINT - Static variable in class biz.sc.mm.dm.algorithm.abm.ABMAttributeUsage

timepoint - Static variable in class biz.sc.mm.dm.supervised.statistical.timeseries.TimeSeriesUsageOption

attribute imposing the order of observations in TimeSeries models

TimeSeriesAlgorithmSettings - Interface in biz.sc.mm.dm.algorithm.timeseries

Common settings for TimeSeries algorithm.

TimeSeriesApplyOutput - Interface in biz.sc.mm.dm.supervised.timeseries

Apply output specification for time series applying process.

TimeSeriesApplyOutputFactory - Interface in biz.sc.mm.dm.supervised.timeseries

Factory for TimeSeriesApplyOutput.

TimeSeriesFunctionSettings - Interface in biz.sc.mm.dm.supervised.timeseries

TimeSeriesFunctionSettings is an extension of SupervisedFunctionSettings

TimeSeriesFunctionSettingsFactory - Interface in biz.sc.mm.dm.supervised.timeseries

Factory for Time Series Function settings.

TimeSeriesModel - Interface in biz.sc.mm.dm.supervised.timeseries

Common interface for time series models.

TimeSeriesModelQualityMeasure - Class in biz.sc.mm.dm.algorithm.abm

TimeSeriesModelQualityMeasures - Interface in biz.sc.mm.dm.algorithm.abm

TimeSeriesModelStatistics - Interface in biz.sc.mm.dm.modelstats.timeseries

Tine Series model statistics.

TimeSeriesTestResult - Interface in biz.sc.mm.dm.supervised.timeseries

The result of the time series test task applied to a time series model.

TimeSeriesTestTask - Interface in biz.sc.mm.dm.supervised.timeseries

TimeSeriesTestTask represents a task assessing the time series model quality.

TimeSeriesTestTaskFactory - Interface in biz.sc.mm.dm.supervised.timeseries

Factory for TimeSeriesTestTask.

TimeSeriesUsageOption - Class in biz.sc.mm.dm.supervised.statistical.timeseries

Usage options specific for TimeSeries models.

toArray(boolean) - Method in interface biz.sc.mm.dm.data.AttributeSet

Returns array representation of this attribute set [row][column].

toArray() - Method in interface biz.sc.mm.dm.data.CategorySet

Returns array with all categories

toHTML() - Method in interface biz.sc.mm.dm.TestReport

TOP_50 - Static variable in class biz.sc.mm.dm.algorithm.ensembles.AggregationType

toSqlType(AttributeDataType) - Static method in class biz.sc.mm.dm.data.AttributeDataType

toString() - Method in class biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluationRanking.Evaluation

toString() - Method in interface biz.sc.mm.dm.base.Trigger

Get the string representation.

toString() - Method in class biz.sc.mm.dm.clustering.ClusterScoreResult

toString() - Method in class biz.sc.mm.dm.data.AttribMapping.Entry

toString() - Method in class biz.sc.mm.dm.data.DatabaseAlias

toString() - Method in class biz.sc.mm.dm.Enum

Returns a string representation of the object.

toString() - Method in class biz.sc.mm.dm.scoringcard.ScoringCardCategoryType

toString() - Method in interface biz.sc.mm.dm.TestMessage

Returns a string representation of the object.

toString() - Method in interface biz.sc.mm.dm.TestReport

Returns a string representation of the object.

toString() - Method in class biz.sc.mm.transformation.settings.BinarizedValues

toString() - Method in class biz.sc.mm.transformation.settings.RedundantType

TRAIN - Static variable in class biz.sc.mm.dm.algorithm.abm.TableRole

transform - Static variable in class biz.sc.mm.transformation.TransformationUsageOption

Indicates that the attribute will be transformed.

Transformation - Interface in biz.sc.mm.transformation

Represents transformation written in specified language.

TransformationApplyTask - Interface in biz.sc.mm.dm.task

This task used for perfoming single or several transformations.

TransformationApplyTaskFactory - Interface in biz.sc.mm.dm.task

Factory for TransformationApplyTask.

TransformationAttributeUsage - Enum in biz.sc.mm.transformation

TransformationBuildTask - Interface in biz.sc.mm.dm.task

This task is used for building transformation.

TransformationBuildTaskFactory - Interface in biz.sc.mm.dm.task

Factory for TransformationBuildTask.

TransformationFactory - Interface in biz.sc.mm.transformation

Factory interface for transformations.

TransformationLanguage - Class in biz.sc.mm.transformation

A TransformationLanguage class specify a language in which transformation is written.

TransformationModule - Interface in biz.sc.mm.dm.algorithm.abm

TransformationParameters - Interface in biz.sc.mm.transformation.parameters

TransformationResult - Interface in biz.sc.mm.dm.algorithm.abm

TransformationScoringCodeBody - Interface in biz.sc.mm.dm.scoringcode

TransformationSetsHandler - Interface in biz.sc.mm.transformation

TransformationSettings - Interface in biz.sc.mm.transformation.settings

A TransformationSettings interface contains set of transformation settings.

TransformationType - Class in biz.sc.mm.transformation

TransformationUsageOption - Class in biz.sc.mm.transformation

Defines how given attribute should be used.

TRANSIT - Static variable in class biz.sc.mm.dm.algorithm.abm.TableRole

TranslationResult - Interface in biz.sc.mm.dm.algorithm.abm

TreeModelStatistics - Interface in biz.sc.mm.dm.modelstats.tree

Model statistics of the classification tree model.

TreeSettings - Interface in biz.sc.mm.dm.algorithm.tree.classification

Algorithm settings for classification tree algorithm.

TreeSettingsFactory - Interface in biz.sc.mm.dm.algorithm.tree.classification

Factory object used to create TreeSettings instance.

Trigger - Interface in biz.sc.mm.dm.base

Class strictly involved with functionality of operating server.

TriggerFactory - Interface in biz.sc.mm.dm.base

TriggerFrequencyType - Class in biz.sc.mm.dm.base

U

unfold() - Method in interface biz.sc.mm.dm.data.LogicalData

Changes all compound attributes into a list of simple attributes.

uniform - Static variable in class biz.sc.mm.dm.algorithm.kohonen.ModificationFunction

uniform modification

unipolar - Static variable in class biz.sc.mm.transformation.settings.BinarizedValues

UNKNOWN - Static variable in class biz.sc.mm.dm.data.DatabaseAlias

Unknow database.

unsetInRole(TableRole) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

unsetName(TableRole) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

unsetOutRole(TableRole) - Method in interface biz.sc.mm.dm.algorithm.abm.Module

update() - Method in interface biz.sc.mm.transformation.settings.TransformationSettings

updateSeededModel(int[], int[], int[], ExternalStatusManager) - Method in interface biz.sc.mm.dm.supervised.statistical.SeededModel

extend structures -> insert new variables -> remove obsolete variables -> shrink structures

updateStats() - Method in interface biz.sc.mm.dm.modelstats.statistical.AbstractVariableStatistics

UsageFinderSettings - Interface in biz.sc.mm.dm.algorithm.abm

UsageFinderSettingsFactory - Interface in biz.sc.mm.dm.algorithm.abm

UsageOption - Class in biz.sc.mm.dm

Defines how given attribute should be used.

USE_CUST_PREP_KEY - Static variable in interface biz.sc.mm.dm.algorithm.deduplication.CommonMatchingFunctionSettings

Column with flag indicating the use of custom preprocessing.

V

VALID - Static variable in class biz.sc.mm.dm.algorithm.abm.TableRole

validateModelParameters() - Method in interface biz.sc.mm.dm.algorithm.regression.linear.LinearRegressionModel

Peforms basic validation of the model parameters: checks whether they are finite real numbers and not all zeroes.

valueOf(String) - Static method in enum biz.sc.mm.dm.algorithm.socialnets.prop.ColumnProperty.ColumnCondition

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum biz.sc.mm.dm.algorithm.socialnets.prop.CustomPropertyContainer.Condition

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum biz.sc.mm.transformation.TransformationAttributeUsage

Returns the enum constant of this type with the specified name.

values() - Static method in enum biz.sc.mm.dm.algorithm.socialnets.prop.ColumnProperty.ColumnCondition

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum biz.sc.mm.dm.algorithm.socialnets.prop.CustomPropertyContainer.Condition

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum biz.sc.mm.transformation.TransformationAttributeUsage

Returns an array containing the constants of this enum type, in the order they are declared.

VariableSelectionMethod - Class in biz.sc.mm.dm.supervised.statistical

Variable selection method (full, stepwise, forward, backward or bestSubset).

VariableSelectionSettings - Interface in biz.sc.mm.dm.supervised.statistical

Common settings for variable selection heuristics.

VariableSelectionSettingsFactory - Interface in biz.sc.mm.dm.supervised.statistical

Factory for variable selection algorithm settings.

VariableSelectionStatistics - Interface in biz.sc.mm.dm.modelstats.statistical

Interface for the automatic variable selection statistics.

VariableSignificanceMode - Class in biz.sc.mm.dm.supervised.statistical

Variable significance test (LikelihoodRatio/Type2SS, Area Under ROC (AUC), Kolmogorov-Smirnov (KS)).

VariableStatistic - Class in biz.sc.mm.dm.modelstats.statistical

Most frequently used variable statistics, common for all statistical models.

VariableStatistics - Interface in biz.sc.mm.dm.modelstats.statistical

Variable or group statistics common for all statistical models.

VariableSubset - Interface in biz.sc.mm.dm.supervised.statistical

variance - Static variable in class biz.sc.mm.dm.algorithm.tree.regression.RegressionSplitEvaluation

varianceModification - Static variable in class biz.sc.mm.dm.algorithm.mcmc.DegeneratedAttributesProcessingMethod

varStatSize() - Method in interface biz.sc.mm.dm.algorithm.regression.RegressionResults

Gets the total number of variable statistics for the model.

vector - Static variable in class biz.sc.mm.dm.data.AttributeType

VectorLogicalAttribute - Interface in biz.sc.mm.dm.data

Verifiable - Interface in biz.sc.mm.dm.base

Capability to generate test report.

verify() - Method in interface biz.sc.mm.dm.algorithm.kohonen.LearningAlgorithm

Verifies current learning algorithm.

verify(TestReport, String) - Method in interface biz.sc.mm.dm.algorithm.socialnets.prop.ColumnProperty

verify() - Method in interface biz.sc.mm.dm.base.Verifiable

Verifies if constrains for this object are met.

verifyAfterFeatureSelectionSettingsChange(FeatureSelectionSettings) - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluatorSettings

verifyColumnProperties(Net) - Method in interface biz.sc.mm.dm.algorithm.socialnets.alg.AlgorithmSettings

verifyParameters() - Method in interface biz.sc.mm.dm.algorithm.featureselection.FeatureEvaluatorSettings

VisualizationTask - Interface in biz.sc.mm.dm.algorithm.socialnets.visual

W

W1 - Static variable in class biz.sc.mm.dm.algorithm.abm.InteractionSignificanceType

W4 - Static variable in class biz.sc.mm.dm.algorithm.abm.InteractionSignificanceType

wald - Static variable in class biz.sc.mm.dm.modelstats.statistical.ModelStatistic

Wald model fit statistic

WALD_TEST - Static variable in class biz.sc.mm.dm.algorithm.abm.DerivedVariablesSelector

waldPvalue - Static variable in class biz.sc.mm.dm.modelstats.statistical.ModelStatistic

Wald statistic p-value

waldPvalue - Static variable in class biz.sc.mm.dm.modelstats.statistical.VariableStatistic

Wald test statistic p-value

waldTest - Static variable in class biz.sc.mm.dm.modelstats.statistical.VariableStatistic

Wald test statistic

warning - Static variable in class biz.sc.mm.dm.TestMessageType

Warning message.

WEEK - Static variable in class biz.sc.mm.dm.algorithm.abm.TimePeriod

WEEK - Static variable in class biz.sc.mm.dm.base.TriggerFrequencyType

weight - Static variable in class biz.sc.mm.dm.UsageOption

Attribute indicates influence of given observation.

WEIGHT_KEY - Static variable in interface biz.sc.mm.dm.algorithm.deduplication.WeightedMatchingFunctionSettings

AttributeUsageSet key for matching algorithm weights

weighted - Static variable in class biz.sc.mm.dm.algorithm.regression.RegressionMethod

weighted regression

weighted - Static variable in class biz.sc.mm.dm.algorithm.tree.nulls.NullStrategyEnum

Weighted null strategy.

WeightedMatchingAlgorithmSettings - Interface in biz.sc.mm.dm.algorithm.deduplication

A settings interface for the weighted matching algorithm.

WeightedMatchingAlgorithmSettingsFactory - Interface in biz.sc.mm.dm.algorithm.deduplication

Factory object used to create WeightedMatchingAlgorithmSettings instance.

WeightedMatchingFunctionSettings - Interface in biz.sc.mm.dm.algorithm.deduplication

A settings interface for the Weighted Matching Function.

WeightedMatchingFunctionSettingsFactory - Interface in biz.sc.mm.dm.algorithm.deduplication

A factory class for the WeightedMatchingFunctionSettings objects.

WeightedRegressionSettings - Interface in biz.sc.mm.dm.algorithm.regression.weighted

Weighted regression algorithm settings.

WeightedRegressionSettingsFactory - Interface in biz.sc.mm.dm.algorithm.regression.weighted

Factory for weighted regression algorithm settings.

WEIGHTING - Static variable in class biz.sc.mm.dm.algorithm.ensembles.AggregationType

weightOfEvidence - Static variable in class biz.sc.mm.transformation.TransformationType

WeightOfEvidenceParameters - Interface in biz.sc.mm.transformation.parameters

WeightType - Class in biz.sc.mm.dm.algorithm.regression.weighted

Observation weighting function type (e.g.huber or student).

WekaModel - Interface in biz.sc.mm.dm.algorithm.weka

WekaSettings - Interface in biz.sc.mm.dm.algorithm.weka

WOETransformation - Interface in biz.sc.mm.dm.algorithm.abm

WOETransformationFactory - Interface in biz.sc.mm.dm.algorithm.abm

Z

Zero - Static variable in class biz.sc.mm.dm.algorithm.socialnets.alg.NullHandling

zero - Static variable in class biz.sc.mm.transformation.settings.NormType

A B C D E F G H I J K L M N O P Q R S T U V W Z