Integer n
Array.Type type
Object value
FieldName field
Object value
String childField
String parentField
String parentLevelField
ChildParent.Recursive recursive
List<E> extensions
List<E> fieldColumnPairs
TableLocator tableLocator
InlineTable inlineTable
ComparisonMeasure.Kind kind
CompareFunction compareFunction
Number minimum
Number maximum
List<E> extensions
Measure measure
CompoundPredicate.BooleanOperator booleanOperator
List<E> extensions
List<E> predicates
List<E> extensions
ClassLabels classLabels
Matrix matrix
List<E> extensions
CorrelationFields correlationFields
CorrelationValues correlationValues
CorrelationMethods correlationMethods
final Object readResolve()
FieldName instance with the singleton one.SerializableString value
Interval.Closure closure
Number leftMargin
Number rightMargin
List<E> extensions
String targetFieldValue
String targetFieldDisplayValue
Number rankingQuality
List<E> extensions
ModelLiftGraph modelLiftGraph
OptimumLiftGraph optimumLiftGraph
RandomLiftGraph randomLiftGraph
List<E> extensions
XCoordinates xCoordinates
YCoordinates yCoordinates
BoundaryValues boundaryValues
BoundaryValueMeans boundaryValueMeans
Object mapMissingTo
Object defaultValue
String outputColumn
DataType dataType
List<E> extensions
List<E> fieldColumnPairs
TableLocator tableLocator
InlineTable inlineTable
FieldName name
MiningField.UsageType usageType
OpType opType
Number importance
OutlierTreatmentMethod outlierTreatment
Number lowValue
Number highValue
Object missingValueReplacement
MissingValueTreatmentMethod missingValueTreatment
Object invalidValueReplacement
InvalidValueTreatmentMethod invalidValueTreatment
List<E> extensions
Integer recordCount
Integer fieldCount
List<E> extensions
VerificationFields verificationFields
InlineTable inlineTable
String name
Object category
Integer exponent
Boolean intercept
Number importance
Number stdError
Number tValue
Number chiSquareValue
Number fStatistic
Number df
Number pValueAlpha
Number pValueInitial
Number pValueFinal
Number confidenceLevel
Number confidenceLowerBound
Number confidenceUpperBound
List<E> extensions
FieldName name
String displayName
OpType opType
DataType dataType
FieldName targetField
FieldName reportField
ResultFeature resultFeature
Object value
OutputField.RuleFeature ruleFeature
OutputField.Algorithm algorithm
Integer rank
OutputField.RankBasis rankBasis
OutputField.RankOrder rankOrder
String isMultiValued
String segmentId
Boolean finalResult
List<E> extensions
Decisions decisions
Expression expression
List<E> values
FieldName field
PartitionFieldStats.Weighted weighted
List<E> extensions
Counts counts
NumericInfo numericInfo
List<E> arrays
String version
String baseVersion
Header header
MiningBuildTask miningBuildTask
DataDictionary dataDictionary
TransformationDictionary transformationDictionary
List<E> models
List<E> extensions
Locator locator
FieldName targetField
String dataName
PredictiveModelQuality.DataUsage dataUsage
Number meanError
Number meanAbsoluteError
Number meanSquaredError
Number rootMeanSquaredError
Number rSquared
Number adjRSquared
Number sumSquaredError
Number sumSquaredRegression
Number numOfRecords
Number numOfRecordsWeighted
Number numOfPredictors
Number degreesOfFreedom
Number fStatistic
Number aic
Number bic
Number aiCc
List<E> extensions
ConfusionMatrix confusionMatrix
List<E> liftDatas
ROC roc
String positiveTargetFieldValue
String positiveTargetFieldDisplayValue
String negativeTargetFieldValue
String negativeTargetFieldDisplayValue
List<E> extensions
ROCGraph rocGraph
List<E> extensions
XCoordinates xCoordinates
YCoordinates yCoordinates
BoundaryValues boundaryValues
FieldName field
SimplePredicate.Operator operator
Object value
List<E> extensions
FieldName field
SimpleSetPredicate.BooleanOperator booleanOperator
List<E> extensions
Array array
FieldName textField
TextIndex.LocalTermWeights localTermWeights
Boolean caseSensitive
Integer maxLevenshteinDistance
TextIndex.CountHits countHits
String wordSeparatorCharacterRE
Boolean tokenize
List<E> extensions
List<E> textIndexNormalizations
Expression expression
String inField
String outField
String regexField
Boolean recursive
Boolean caseSensitive
Integer maxLevenshteinDistance
String wordSeparatorCharacterRE
Boolean tokenize
List<E> extensions
TableLocator tableLocator
InlineTable inlineTable
FieldName field
UnivariateStats.Weighted weighted
List<E> extensions
Counts counts
NumericInfo numericInfo
DiscrStats discrStats
ContStats contStats
Anova anova
Object value
String displayValue
Value.Property property
List<E> extensions
String modelName
MiningFunction miningFunction
String algorithmName
Integer numberOfTransactions
Integer maxNumberOfItemsPerTA
Number avgNumberOfItemsPerTA
Number minimumSupport
Number minimumConfidence
Integer lengthLimit
Integer numberOfItems
Integer numberOfItemsets
Integer numberOfRules
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
LocalTransformations localTransformations
List<E> items
List<E> itemsets
List<E> associationRules
ModelVerification modelVerification
List<E> extensions
ContinuousDistribution continuousDistribution
List<E> extensions
ContinuousDistribution continuousDistribution
CountTable countTable
CountTable normalizedCountTable
List<E> fieldRefs
String modelName
MiningFunction miningFunction
String algorithmName
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
TestDistributions testDistributions
ModelVerification modelVerification
FieldName field
TestDistributions.TestStatistic testStatistic
Number resetValue
Integer windowSize
FieldName weightField
String normalizationScheme
Baseline baseline
Alternate alternate
List<E> extensions
String modelName
MiningFunction miningFunction
String algorithmName
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
BayesianNetworkNodes bayesianNetworkNodes
ModelVerification modelVerification
List<E> extensions
TriangularDistribution triangularDistributionForBN
NormalDistribution normalDistributionForBN
LognormalDistribution lognormalDistributionForBN
UniformDistribution uniformDistributionForBN
List<E> extensions
Expression expression
List<E> extensions
Expression expression
List<E> extensions
Expression expression
List<E> extensions
Expression expression
String id
String name
Integer size
List<E> extensions
KohonenMap kohonenMap
Array array
Partition partition
Covariances covariances
FieldName field
ClusteringField.CenterField centerField
Number fieldWeight
Number similarityScale
CompareFunction compareFunction
List<E> extensions
Comparisons comparisons
String modelName
MiningFunction miningFunction
String algorithmName
ClusteringModel.ModelClass modelClass
Integer numberOfClusters
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
LocalTransformations localTransformations
ComparisonMeasure comparisonMeasure
List<E> clusteringFields
CenterFields centerFields
MissingValueWeights missingValueWeights
List<E> clusters
ModelVerification modelVerification
String modelName
MiningFunction miningFunction
String algorithmName
String optimizer
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
RadialBasisKernel radialBasisKernel
ARDSquaredExponentialKernel ardSquaredExponentialKernel
AbsoluteExponentialKernel absoluteExponentialKernel
GeneralizedExponentialKernel generalizedExponentialKernel
TrainingInstances trainingInstances
ModelVerification modelVerification
FieldName targetVariable
GeneralRegressionModel.ModelType modelType
String modelName
MiningFunction miningFunction
String algorithmName
Object targetReferenceCategory
GeneralRegressionModel.CumulativeLinkFunction cumulativeLinkFunction
GeneralRegressionModel.LinkFunction linkFunction
Number linkParameter
FieldName trialsVariable
Integer trialsValue
GeneralRegressionModel.Distribution distribution
Number distParameter
FieldName offsetVariable
Number offsetValue
Number modelDF
FieldName endTimeVariable
FieldName startTimeVariable
FieldName subjectIDVariable
FieldName statusVariable
FieldName baselineStrataVariable
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
ParameterList parameterList
FactorList factorList
CovariateList covariateList
PPMatrix ppMatrix
PCovMatrix pCovMatrix
ParamMatrix paramMatrix
EventValues eventValues
BaseCumHazardTables baseCumHazardTables
ModelVerification modelVerification
PCovMatrix.Type type
List<E> extensions
List<E> pCovCells
String modelName
MiningFunction miningFunction
String algorithmName
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
List<E> embeddedModels
Segmentation segmentation
ModelVerification modelVerification
Segmentation.MultipleModelMethod multipleModelMethod
Segmentation.MissingPredictionTreatment missingPredictionTreatment
Number missingThreshold
List<E> extensions
LocalTransformations localTransformations
List<E> segments
FieldName field
List<E> extensions
TargetValueStats targetValueStats
DerivedField derivedField
List<E> pairCounts
FieldName field
List<E> extensions
TargetValueCounts targetValueCounts
String modelName
Number threshold
MiningFunction miningFunction
String algorithmName
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
BayesInputs bayesInputs
BayesOutput bayesOutput
ModelVerification modelVerification
Object value
List<E> extensions
TargetValueCounts targetValueCounts
Object value
List<E> extensions
ContinuousDistribution continuousDistribution
FieldName field
Number fieldWeight
CompareFunction compareFunction
List<E> extensions
String modelName
MiningFunction miningFunction
String algorithmName
Integer numberOfNeighbors
NearestNeighborModel.ContinuousScoringMethod continuousScoringMethod
NearestNeighborModel.CategoricalScoringMethod categoricalScoringMethod
FieldName instanceIdVariable
Number threshold
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
TrainingInstances trainingInstances
ComparisonMeasure comparisonMeasure
KNNInputs knnInputs
ModelVerification modelVerification
Boolean transformed
Integer recordCount
Integer fieldCount
List<E> extensions
InstanceFields instanceFields
TableLocator tableLocator
InlineTable inlineTable
String id
List<E> extensions
DerivedField derivedField
Integer numberOfNeurons
NeuralNetwork.ActivationFunction activationFunction
Number threshold
Number width
Number altitude
NeuralNetwork.NormalizationMethod normalizationMethod
List<E> extensions
List<E> neurons
String modelName
MiningFunction miningFunction
String algorithmName
NeuralNetwork.ActivationFunction activationFunction
NeuralNetwork.NormalizationMethod normalizationMethod
Number threshold
Number width
Number altitude
Integer numberOfLayers
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
NeuralInputs neuralInputs
List<E> neuralLayers
NeuralOutputs neuralOutputs
ModelVerification modelVerification
String outputNeuron
List<E> extensions
DerivedField derivedField
String modelName
MiningFunction miningFunction
String algorithmName
Regression.NormalizationMethod normalizationMethod
List<E> extensions
Output output
ModelStats modelStats
Targets targets
LocalTransformations localTransformations
List<E> resultFields
List<E> regressionTables
String modelName
MiningFunction miningFunction
String algorithmName
RegressionModel.ModelType modelType
FieldName targetField
RegressionModel.NormalizationMethod normalizationMethod
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
List<E> regressionTables
ModelVerification modelVerification
RuleSelectionMethod.Criterion criterion
List<E> extensions
String modelName
MiningFunction miningFunction
String algorithmName
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
RuleSet ruleSet
ModelVerification modelVerification
List<E> extensions
Expression expression
String modelName
MiningFunction miningFunction
String algorithmName
Number initialScore
Boolean useReasonCodes
Scorecard.ReasonCodeAlgorithm reasonCodeAlgorithm
Number baselineScore
Scorecard.BaselineMethod baselineMethod
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
Characteristics characteristics
ModelVerification modelVerification
List<E> extensions
SequenceReference sequenceReference
Time time
List<E> extensions
SequenceReference sequenceReference
Time time
Integer minimumNumberOfItems
Integer maximumNumberOfItems
Integer minimumNumberOfAntecedentItems
Integer maximumNumberOfAntecedentItems
Integer minimumNumberOfConsequentItems
Integer maximumNumberOfConsequentItems
Number minimumSupport
Number minimumConfidence
Number minimumLift
Number minimumTotalSequenceTime
Number maximumTotalSequenceTime
Number minimumItemsetSeparationTime
Number maximumItemsetSeparationTime
Number minimumAntConsSeparationTime
Number maximumAntConsSeparationTime
List<E> extensions
Delimiter.TimeWindow delimiter
Delimiter.Gap gap
List<E> extensions
String modelName
MiningFunction miningFunction
String algorithmName
Integer numberOfTransactions
Integer maxNumberOfItemsPerTransaction
Number avgNumberOfItemsPerTransaction
Integer numberOfTransactionGroups
Integer maxNumberOfTAsPerTAGroup
Number avgNumberOfTAsPerTAGroup
Number minimumSupport
Number minimumConfidence
Integer lengthLimit
Integer numberOfItems
Integer numberOfSets
Integer numberOfSequences
Integer numberOfRules
Integer timeWindowWidth
Integer minimumTime
Integer maximumTime
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
ModelStats modelStats
LocalTransformations localTransformations
Constraints constraints
List<E> items
List<E> itemsets
List<E> setPredicates
List<E> sequences
List<E> sequenceRules
Object targetCategory
Object alternateTargetCategory
Number threshold
List<E> extensions
SupportVectors supportVectors
Coefficients coefficients
String modelName
MiningFunction miningFunction
String algorithmName
Number threshold
SupportVectorMachineModel.Representation representation
Object alternateBinaryTargetCategory
SupportVectorMachineModel.ClassificationMethod classificationMethod
Boolean maxWins
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
Kernel kernel
VectorDictionary vectorDictionary
List<E> supportVectorMachines
ModelVerification modelVerification
String id
List<E> extensions
RealSparseArray realSparseArray
Array array
String modelName
MiningFunction miningFunction
String algorithmName
Integer numberOfTerms
Integer numberOfDocuments
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
TextDictionary textDictionary
TextCorpus textCorpus
DocumentTermMatrix documentTermMatrix
TextModelNormalization textModelNormalization
TextModelSimiliarity textModelSimiliarity
ModelVerification modelVerification
TextModelNormalization.LocalTermWeights localTermWeights
TextModelNormalization.GlobalTermWeights globalTermWeights
TextModelNormalization.DocumentNormalization documentNormalization
List<E> extensions
TextModelSimiliarity.SimilarityType similarityType
List<E> extensions
Number rmse
ExponentialSmoothing.Transformation transformation
Level level
TrendExpoSmooth trendExpoSmooth
SeasonalityExpoSmooth seasonalityExpoSmooth
List<E> timeValues
Integer length
TimeCycle.Type type
String displayName
Array array
TimeException.Type type
Integer count
Array array
TimeSeries.Usage usage
Number startTime
Number endTime
TimeSeries.InterpolationMethod interpolationMethod
TimeAnchor timeAnchor
List<E> timeExceptions
List<E> timeValues
String modelName
MiningFunction miningFunction
String algorithmName
TimeSeriesModel.Algorithm bestFit
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
LocalTransformations localTransformations
List<E> timeSeries
SpectralAnalysis spectralAnalysis
ARIMA arima
ExponentialSmoothing exponentialSmoothing
SeasonalTrendDecomposition seasonalTrendDecomposition
ModelVerification modelVerification
TrendExpoSmooth.Trend trend
Number gamma
Number phi
Number smoothedValue
Array array
Number recordCount
Number recordCount
String modelName
MiningFunction miningFunction
String algorithmName
DecisionTree.MissingValueStrategy missingValueStrategy
Number missingValuePenalty
DecisionTree.NoTrueChildStrategy noTrueChildStrategy
DecisionTree.SplitCharacteristic splitCharacteristic
List<E> extensions
Output output
ModelStats modelStats
Targets targets
LocalTransformations localTransformations
List<E> resultFields
Node node
Object id
String modelName
MiningFunction miningFunction
String algorithmName
TreeModel.MissingValueStrategy missingValueStrategy
Number missingValuePenalty
TreeModel.NoTrueChildStrategy noTrueChildStrategy
TreeModel.SplitCharacteristic splitCharacteristic
Boolean scorable
MathContext mathContext
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
Node node
ModelVerification modelVerification
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