Integer n
Array.Type type
String value
FieldName field
String childField
String parentField
String parentLevelField
ChildParent.Recursive recursive
List<E> extensions
List<E> fieldColumnPairs
TableLocator tableLocator
InlineTable inlineTable
ComparisonMeasure.Kind kind
CompareFunction compareFunction
Double minimum
Double 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
Double leftMargin
Double rightMargin
List<E> extensions
String targetFieldValue
String targetFieldDisplayValue
Double rankingQuality
List<E> extensions
ModelLiftGraph modelLiftGraph
OptimumLiftGraph optimumLiftGraph
RandomLiftGraph randomLiftGraph
List<E> extensions
XCoordinates xCoordinates
YCoordinates yCoordinates
BoundaryValues boundaryValues
BoundaryValueMeans boundaryValueMeans
String mapMissingTo
String defaultValue
String outputColumn
DataType dataType
List<E> extensions
List<E> fieldColumnPairs
TableLocator tableLocator
InlineTable inlineTable
int row
int col
String value
FieldName name
MiningField.UsageType usageType
OpType opType
Double importance
OutlierTreatmentMethod outlierTreatment
Double lowValue
Double highValue
String missingValueReplacement
MissingValueTreatmentMethod missingValueTreatment
InvalidValueTreatmentMethod invalidValueTreatment
List<E> extensions
Integer recordCount
Integer fieldCount
List<E> extensions
VerificationFields verificationFields
InlineTable inlineTable
String name
String category
Integer exponent
Boolean intercept
Double importance
Double stdError
Double tValue
Double chiSquareValue
Double fStatistic
Double df
Double pValueAlpha
Double pValueInitial
Double pValueFinal
Double confidenceLevel
Double confidenceLowerBound
Double confidenceUpperBound
List<E> extensions
FieldName name
String displayName
OpType opType
DataType dataType
FieldName targetField
ResultFeature resultFeature
String 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
FieldName field
PartitionFieldStats.Weighted weighted
List<E> extensions
Counts counts
NumericInfo numericInfo
List<E> arrays
String version
List<E> extensions
Header header
MiningBuildTask miningBuildTask
DataDictionary dataDictionary
TransformationDictionary transformationDictionary
List<E> models
Locator locator
FieldName targetField
String dataName
PredictiveModelQuality.DataUsage dataUsage
Double meanError
Double meanAbsoluteError
Double meanSquaredError
Double rootMeanSquaredError
Double rSquared
Double adjRSquared
Double sumSquaredError
Double sumSquaredRegression
Double numOfRecords
Double numOfRecordsWeighted
Double numOfPredictors
Double degreesOfFreedom
Double fStatistic
Double aic
Double bic
Double 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
String value
List<E> extensions
FieldName field
SimpleSetPredicate.BooleanOperator booleanOperator
List<E> extensions
Array array
FieldName textField
TextIndex.LocalTermWeights localTermWeights
Boolean isCaseSensitive
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 isCaseSensitive
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
String value
String displayValue
Value.Property property
List<E> extensions
String modelName
MiningFunction miningFunction
String algorithmName
int numberOfTransactions
Integer maxNumberOfItemsPerTA
Double avgNumberOfItemsPerTA
double minimumSupport
double minimumConfidence
Integer lengthLimit
int numberOfItems
int numberOfItemsets
int numberOfRules
Boolean scorable
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
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
TestDistributions testDistributions
ModelVerification modelVerification
FieldName field
TestDistributions.TestStatistic testStatistic
Double resetValue
Integer windowSize
FieldName weightField
String normalizationScheme
List<E> extensions
Baseline baseline
Alternate alternate
String modelName
MiningFunction miningFunction
String algorithmName
Boolean scorable
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
Double fieldWeight
Double similarityScale
CompareFunction compareFunction
List<E> extensions
Comparisons comparisons
String modelName
MiningFunction miningFunction
String algorithmName
ClusteringModel.ModelClass modelClass
int numberOfClusters
Boolean scorable
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
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 targetVariableName
GeneralRegressionModel.ModelType modelType
String modelName
MiningFunction miningFunction
String algorithmName
String targetReferenceCategory
GeneralRegressionModel.CumulativeLinkFunction cumulativeLinkFunction
GeneralRegressionModel.LinkFunction linkFunction
Double linkParameter
FieldName trialsVariable
Integer trialsValue
GeneralRegressionModel.Distribution distribution
Double distParameter
FieldName offsetVariable
Double offsetValue
Double modelDF
FieldName endTimeVariable
FieldName startTimeVariable
FieldName subjectIDVariable
FieldName statusVariable
FieldName baselineStrataVariable
Boolean scorable
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
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
List<E> extensions
LocalTransformations localTransformations
List<E> segments
FieldName fieldName
List<E> extensions
TargetValueStats targetValueStats
DerivedField derivedField
List<E> pairCounts
FieldName fieldName
List<E> extensions
TargetValueCounts targetValueCounts
String modelName
double threshold
MiningFunction miningFunction
String algorithmName
Boolean scorable
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
BayesInputs bayesInputs
BayesOutput bayesOutput
ModelVerification modelVerification
String value
List<E> extensions
TargetValueCounts targetValueCounts
String value
List<E> extensions
ContinuousDistribution continuousDistribution
FieldName field
Double fieldWeight
CompareFunction compareFunction
List<E> extensions
String modelName
MiningFunction miningFunction
String algorithmName
int numberOfNeighbors
NearestNeighborModel.ContinuousScoringMethod continuousScoringMethod
NearestNeighborModel.CategoricalScoringMethod categoricalScoringMethod
FieldName instanceIdVariable
Double threshold
Boolean scorable
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
Double threshold
Double width
Double altitude
NeuralNetwork.NormalizationMethod normalizationMethod
List<E> extensions
List<E> neurons
String modelName
MiningFunction miningFunction
String algorithmName
NeuralNetwork.ActivationFunction activationFunction
NeuralNetwork.NormalizationMethod normalizationMethod
Double threshold
Double width
Double altitude
Integer numberOfLayers
Boolean scorable
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 targetFieldName
RegressionModel.NormalizationMethod normalizationMethod
Boolean scorable
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
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
Double initialScore
Boolean useReasonCodes
Scorecard.ReasonCodeAlgorithm reasonCodeAlgorithm
Double baselineScore
Scorecard.BaselineMethod baselineMethod
Boolean scorable
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
Double minimumSupport
Double minimumConfidence
Double minimumLift
Double minimumTotalSequenceTime
Double maximumTotalSequenceTime
Double minimumItemsetSeparationTime
Double maximumItemsetSeparationTime
Double minimumAntConsSeparationTime
Double maximumAntConsSeparationTime
List<E> extensions
Delimiter.TimeWindow delimiter
Delimiter.Gap gap
List<E> extensions
String modelName
MiningFunction miningFunction
String algorithmName
Integer numberOfTransactions
Integer maxNumberOfItemsPerTransaction
Double avgNumberOfItemsPerTransaction
Integer numberOfTransactionGroups
Integer maxNumberOfTAsPerTAGroup
Double avgNumberOfTAsPerTAGroup
double minimumSupport
double minimumConfidence
Integer lengthLimit
int numberOfItems
int numberOfSets
int numberOfSequences
int numberOfRules
Integer timeWindowWidth
Integer minimumTime
Integer maximumTime
Boolean scorable
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
String targetCategory
String alternateTargetCategory
Double threshold
List<E> extensions
SupportVectors supportVectors
Coefficients coefficients
String modelName
MiningFunction miningFunction
String algorithmName
Double threshold
SupportVectorMachineModel.Representation representation
String alternateBinaryTargetCategory
SupportVectorMachineModel.ClassificationMethod classificationMethod
Boolean maxWins
Boolean scorable
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
int numberOfTerms
int numberOfDocuments
Boolean scorable
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
Double rmse
ExponentialSmoothing.Transformation transformation
Level level
TrendExpoSmooth trendExpoSmooth
SeasonalityExpoSmooth seasonalityExpoSmooth
List<E> timeValues
SeasonalityExpoSmooth.Type type
int period
String unit
Integer phase
Double delta
Array array
Integer length
TimeCycle.Type type
String displayName
Array array
TimeException.Type type
Integer count
Array array
TimeSeries.Usage usage
Double startTime
Double endTime
TimeSeries.InterpolationMethod interpolationMethod
TimeAnchor timeAnchor
List<E> timeExceptions
List<E> timeValues
String modelName
MiningFunction miningFunction
String algorithmName
TimeSeriesModel.Algorithm bestFit
Boolean scorable
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
Double gamma
Double phi
Double smoothedValue
Array array
String modelName
MiningFunction miningFunction
String algorithmName
DecisionTree.MissingValueStrategy missingValueStrategy
Double missingValuePenalty
DecisionTree.NoTrueChildStrategy noTrueChildStrategy
DecisionTree.SplitCharacteristic splitCharacteristic
List<E> extensions
Output output
ModelStats modelStats
Targets targets
LocalTransformations localTransformations
List<E> resultFields
Node node
String modelName
MiningFunction miningFunction
String algorithmName
TreeModel.MissingValueStrategy missingValueStrategy
Double missingValuePenalty
TreeModel.NoTrueChildStrategy noTrueChildStrategy
TreeModel.SplitCharacteristic splitCharacteristic
Boolean scorable
List<E> extensions
MiningSchema miningSchema
Output output
ModelStats modelStats
ModelExplanation modelExplanation
Targets targets
LocalTransformations localTransformations
Node node
ModelVerification modelVerification
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