Here is a list of all struct and union fields with links to the structures/unions they belong to:
- AddContinuousShiftStatistics()
: CLUS::MultiDecisionTreeNode< T_Splitter >
- AddDiscreteShiftStatistics()
: CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryMultiClassificationSplitter
- AddObject()
: CLUS::SyncObjList
- AddStatisticsShifted()
: CLUS::NormalStatistics, CLUS::BinomialStatistics
- AddWeightedStatistics()
: CLUS::NormalStatistics, CLUS::BinomialStatistics
- adit
: CLUS::Scale
- AdjustPrototypes()
: CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::Cluster
- AdjustYwithYoverD()
: CLUS::SphericCluster, CLUS::SkinyMultiDimNormal, CLUS::MultiDimNormal, CLUS::HiperPlanCluster, CLUS::Distribution, CLUS::Cluster
- alignSplits
: CLUS::MultiDecisionTree< T_Splitter >
- alpha_over_detChol_inDim
: CLUS::MultiDimNormal
- alpha_over_detChol_inDimp1
: CLUS::MultiDimNormal
- alpha_over_sigma
: CLUS::SimpleNormalDistribution
- ANOVA
: CLUS::MultidimNormalStatistics
- ApplyInversePermutation()
: CLUS::Permutation
- ApplyPermutation()
: CLUS::Permutation
- ApplyShiftToTuple()
: CLUS::DiscretePermutationTransformation, CLUS::ContinuousLinearTransformation
- BasicBinomialStatistics()
: CLUS::BasicBinomialStatistics
- begin()
: CLUS::DynamicBuffer
- BinaryDecisionTree()
: CLUS::BinaryDecisionTree< T_Splitter >
- BinaryDecisionTreeNode()
: CLUS::BinaryDecisionTreeNode< T_Splitter >
- BinaryMultiClassificationSplitter()
: CLUS::BinaryMultiClassificationSplitter
- BinaryObliqueProbabilisticSplitter()
: CLUS::BinaryObliqueProbabilisticSplitter
- BinaryObliqueSplitter()
: CLUS::BinaryObliqueSplitter
- BinaryProbabilisticDecisionTree()
: CLUS::BinaryProbabilisticDecisionTree< T_Splitter >
- BinaryProbabilisticDecisionTreeNode()
: CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >
- BinaryProbabilisticRegressionTree()
: CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >
- BinaryProbabilisticRegressionTreeNode()
: CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
- BinaryProbabilisticSplitter()
: CLUS::BinaryProbabilisticSplitter
- BinaryRegressionTree()
: CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >
- BinaryRegressionTreeNode()
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
- BinarySplitter()
: CLUS::BinarySplitter
- BinomialStatistics()
: CLUS::BinomialStatistics
- bootstrap
: CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >
- bootstrapping
: CLUS::BinaryProbabilisticDecisionTree< T_Splitter >
- bootstrappingRepetitions
: CLUS::BinaryProbabilisticDecisionTree< T_Splitter >
- buffer
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
- C
: CLUS::MultiDimNormal, CLUS::LinearRegressor, CLUS::HiperPlanCluster
- cdataset
: CLUS::DiscretePermutationTransformation
- CheckSplit()
: CLUS::SphericCluster, CLUS::HiperPlanCluster
- Children
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- ChooseBranch()
: CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryMultiClassificationSplitter
- classLabel
: CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- ClusDistance()
: CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::EMHiperPlan, CLUS::Cluster
- Cluster()
: CLUS::Cluster
- combineCenters()
: CLUS::MultiDecisionTreeNode< T_Splitter >
- combineLabeledCenters()
: CLUS::MultiDecisionTreeNode< T_Splitter >
- combineSplits()
: CLUS::MultiDecisionTreeNode< T_Splitter >
- ComputeAlphas()
: CLUS::MultiDimNormal
- ComputeCCoef()
: CLUS::MultiDimNormal, CLUS::HiperPlanCluster
- ComputeCenter()
: CLUS::BinaryMultiClassificationSplitter
- ComputeClassLabel()
: CLUS::SimpleBinarySplitter, CLUS::BinaryMultiClassificationSplitter
- ComputeDiscreteShift()
: CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryMultiClassificationSplitter
- ComputeGiniGain()
: CLUS::MultidimNormalStatistics, CLUS::NormalStatistics, CLUS::ProbabilisticBinomialStatistics, CLUS::BinomialStatistics
- ComputeLastY()
: CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::Cluster
- ComputeNodeWeight()
: CLUS::MultiDecisionTreeNode< T_Splitter >
- ComputeProbabilityFirstClass()
: CLUS::BinaryProbabilisticSplitter
- ComputePruningCost()
: CLUS::MultiDecisionTreeNode< T_Splitter >
- ComputeShift()
: CLUS::NormalStatistics, CLUS::BinomialStatistics
- ComputeSizesTree()
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
- ComputeSplitPoint()
: CLUS::BinomialStatistics, CLUS::BasicBinomialStatistics, CLUS::BinaryMultiClassificationSplitter
- ComputeSplitVariable()
: CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryMultiClassificationSplitter
- computeSumOfVarianceInverted()
: CLUS::MultiDecisionTreeNode< T_Splitter >
- ComputeTotalWeight()
: CLUS::MultiDecisionTreeNode< T_Splitter >
- ComputeU()
: CLUS::HiperPlanCluster
- cont
: elemList
- ContinuousLinearTransformation()
: CLUS::ContinuousLinearTransformation
- continuousShifts
: CLUS::BinaryMultiClassificationSplitter
- continuousStatistics
: CLUS::SimpleBinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryMultiClassificationSplitter
- continuousTransformer
: CLUS::MultiDecisionTree< T_Splitter >, CLUS::BinaryMultiClassificationSplitter
- convergenceLim
: CLUS::Machine
- CopyFrom()
: CLUS::SphericCluster, CLUS::HiperPlanCluster
- CorrectApartGrade()
: CLUS::EMHiperPlan
- CorrectAppartGrade()
: CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::Cluster
- CorrectWeightedStatistics()
: CLUS::NormalStatistics, CLUS::BinomialStatistics
- count
: CLUS::StreamDataConsumer, CLUS::SimpleBinarySplitter, CLUS::BinaryMultiClassificationSplitter
- countC0
: CLUS::NormalStatistics, CLUS::SimpleBinarySplitter, CLUS::BinaryMultiClassificationSplitter
- countC1
: CLUS::NormalStatistics
- counts
: CLUS::BasicBinomialStatistics
- countsC0
: CLUS::BasicBinomialStatistics
- CreateRegressor()
: CLUS::SkinyMultiDimNormal, CLUS::MultiDimNormal, CLUS::Distribution
- crit
: CLUS::T_array
- Criterion
: CLUS::Machine
- csDim
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
- CSepHypType
: CLUS::BinaryObliqueSplitter
- csplitDim
: CLUS::SimpleBinarySplitter, CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryMultiClassificationSplitter, CLUS::BinaryDecisionTree< T_Splitter >
- data
: CLUS::DynamicBuffer
- dataCache
: CLUS::Distribution, CLUS::Cluster
- DataConsumer()
: CLUS::DataConsumer
- DataProducer()
: CLUS::DataProducer
- dataset
: CLUS::ContinuousLinearTransformation
- DCTrainingData()
: CLUS::DCTrainingData
- ddataset
: CLUS::DiscretePermutationTransformation
- dDomainSize
: CLUS::SimpleBinarySplitter, CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::DiscretePermutationTransformation, CLUS::DCTrainingData, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryMultiClassificationSplitter, CLUS::BinaryDecisionTree< T_Splitter >
- Dead
: CLUS::Cluster
- DeleteTemporaryStatistics()
: CLUS::BinarySplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryMultiClassificationSplitter
- DenormalizeParameters()
: CLUS::SkinyMultiDimNormal, CLUS::MultiDimNormal, CLUS::Distribution
- dim
: CLUS::DynamicBuffer, CLUS::MultidimNormalStatistics
- dimension
: CLUS::SimpleNormalDistribution, CLUS::Cluster
- disc
: elemList
- DiscretePermutationTransformation()
: CLUS::DiscretePermutationTransformation
- discreteShifts
: CLUS::BinaryMultiClassificationSplitter
- discreteStatistics
: CLUS::SimpleBinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryMultiClassificationSplitter
- discreteTransformer
: CLUS::MultiDecisionTree< T_Splitter >, CLUS::BinaryMultiClassificationSplitter
- distanceClus
: CLUS::Cluster
- distanceInfer
: CLUS::Cluster
- Distribution
: CLUS::Distribution, CLUS::Scale
- distributions
: CLUS::MulticlassContinuousDistribution< T_Distribution >
- Distributions
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
- domainSizes()
: CLUS::DCTrainingData
- dsplitDim
: CLUS::SimpleBinarySplitter, CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryMultiClassificationSplitter, CLUS::BinaryDecisionTree< T_Splitter >
- DTable
: CLUS::DCTrainingData
- DynamicBuffer()
: CLUS::DynamicBuffer
- elemList()
: elemList
- Elipsoidality
: CLUS::HiperPlanCluster
- em
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
- EMHiperPlan()
: CLUS::EMHiperPlan
- emMaxIterations
: CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >
- emRestarts
: CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >
- EMStep()
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
- emTrials
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
- end()
: CLUS::DynamicBuffer
- ErrMsg()
: CLUS::ErrMsg
- error
: CLUS::HiperPlanCluster
- examples0Seen
: CLUS::BinaryMultiClassificationSplitter
- examplesSeen
: CLUS::BinaryMultiClassificationSplitter
- FileDataConsumer()
: CLUS::FileDataConsumer
- FileDataProducer()
: CLUS::FileDataProducer
- filename
: CLUS::RPMSConsumer, CLUS::FileDataProducer, CLUS::FileDataConsumer
- Filter()
: CLUS::Filter
- Final
: CLUS::Cluster
- FinalizePruningStatistics()
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- FindBestParameter()
: CLUS::Machine
- FindSplitAttributes()
: CLUS::MultiDecisionTreeNode< T_Splitter >
- gainComputed
: CLUS::BasicBinomialStatistics
- GenerateStructure()
: CLUS::Machine
- GetCenter()
: CLUS::NormalStatistics
- getConditionalProbs()
: CLUS::BinomialStatistics
- getContinuousShift()
: CLUS::BinaryMultiClassificationSplitter
- GetContinuousTransformer()
: CLUS::BinaryMultiClassificationSplitter
- getCount()
: CLUS::BasicBinomialStatistics
- getcountC0()
: CLUS::NormalStatistics
- getcountC1()
: CLUS::NormalStatistics
- GetCSplitDim()
: CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryMultiClassificationSplitter
- GetDDomainSize()
: CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryMultiClassificationSplitter
- GetDDomainSizes()
: CLUS::DCTrainingData
- GetDiscreteTrainingData()
: CLUS::DCTrainingData
- GetDiscreteTransformer()
: CLUS::BinaryMultiClassificationSplitter
- GetDSplitDim()
: CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryMultiClassificationSplitter
- getIndex()
: CLUS::IndexedValue
- getLabeledCenter()
: CLUS::NormalStatistics, CLUS::BinaryMultiClassificationSplitter
- getLabeledCenterVariance()
: CLUS::BinaryMultiClassificationSplitter
- getLabeledCount()
: CLUS::BinaryMultiClassificationSplitter
- getLCVariance()
: CLUS::NormalStatistics
- GetMAE()
: CLUS::RPMSConsumer
- GetMSE()
: CLUS::RPMSConsumer
- GetNoDatasets()
: CLUS::BinaryMultiClassificationSplitter
- GetNodeId()
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
- GetNRMSE()
: CLUS::RPMSConsumer
- GetOutput()
: CLUS::DataProducer
- GetProbabilitySet()
: CLUS::ProbabilisticBinomialStatistics
- GetRegDim()
: CLUS::BinarySplitter
- GetRMSE()
: CLUS::RPMSConsumer
- GetS_P1()
: CLUS::MultidimNormalStatistics
- GetS_P2()
: CLUS::MultidimNormalStatistics
- GetScaleFactors()
: CLUS::Machine
- GetSeparatingHyperplane()
: CLUS::MultidimNormalStatistics
- getShift()
: CLUS::ContinuousLinearTransformation
- GetShift()
: CLUS::DiscretePermutationTransformation, CLUS::ContinuousLinearTransformation
- GetSplit()
: CLUS::NormalStatistics, CLUS::BinomialStatistics
- GetSplitVariable()
: CLUS::MultidimNormalStatistics
- getSplitVariance()
: CLUS::NormalStatistics, CLUS::BinaryMultiClassificationSplitter
- GetState()
: CLUS::Cluster
- getTentativeCenter()
: CLUS::BinaryMultiClassificationSplitter
- getTentativeSplitPoint()
: CLUS::BinaryMultiClassificationSplitter
- GetTrainingData()
: CLUS::TrainingData
- getValue()
: CLUS::IndexedValue
- getVariance()
: CLUS::NormalStatistics, CLUS::BinaryMultiClassificationSplitter
- GotNoData()
: CLUS::BinaryProbabilisticSplitter, CLUS::BinaryMultiClassificationSplitter
- gridDim
: CLUS::GridInputProducer
- GridInputProducer()
: CLUS::GridInputProducer
- id
: CLUS::BinaryMultiClassificationSplitter
- Identify()
: CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::Machine, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >
- IdentifyStep()
: CLUS::Machine
- in
: CLUS::StreamDataProducer, CLUS::StreamDCTrainingData
- index
: CLUS::IndexedValue, CLUS::T_array
- IndexedValue()
: CLUS::IndexedValue
- InDim()
: CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::Machine, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >
- inDim
: CLUS::Machine, CLUS::Distribution, CLUS::Cluster
- Infer()
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::MulticlassDistribution, CLUS::MulticlassContinuousDistribution< T_Distribution >, CLUS::Machine, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >
- InferDistance()
: CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::EMHiperPlan, CLUS::Cluster
- inferMaxNodeId
: CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >
- InferProbability()
: CLUS::SkinyMultiDimNormal, CLUS::MultiDimNormal, CLUS::Distribution
- InitalizeOnPoint()
: CLUS::Cluster
- InitializeOnPoint()
: CLUS::SphericCluster, CLUS::HiperPlanCluster
- InitializePruningStatistics()
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- InitializeSplitStatistics()
: CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryMultiClassificationSplitter
- InitializeStatistics()
: CLUS::Distribution
- input
: CLUS::DataConsumer
- Interval
: CLUS::Scale
- InverseTransform()
: CLUS::Scale
- IsClassLabelAbsent()
: CLUS::MulticlassDistribution, CLUS::MulticlassContinuousDistribution< T_Distribution >
- L
: CLUS::SphericCluster
- labeled
: CLUS::MultiDecisionTree< T_Splitter >
- labeledMeansSignificant()
: CLUS::NormalStatistics, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryMultiClassificationSplitter
- LastClusDistance()
: CLUS::Cluster
- LastInferDistance()
: CLUS::Cluster
- LastInferProbability()
: CLUS::Distribution
- LastLearnProbability()
: CLUS::Distribution
- LastProbability()
: CLUS::Distribution
- LDA
: CLUS::MultidimNormalStatistics
- LearnProbability()
: CLUS::SkinyMultiDimNormal, CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal, CLUS::Distribution
- LearnSample()
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::MulticlassDistribution, CLUS::MulticlassContinuousDistribution< T_Distribution >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- LinearRegressor()
: CLUS::LinearRegressor
- listel()
: CLUS::SyncObjList::listel
- LoadFromStream()
: CLUS::SphericCluster, CLUS::SkinyMultiDimNormal, CLUS::Scale, CLUS::MultiDimNormal, CLUS::HiperPlanCluster, CLUS::EMHiperPlan, CLUS::Distribution, CLUS::Cluster
- Machine()
: CLUS::Machine
- mae
: CLUS::RPMSConsumer
- mask
: CLUS::DiscretePermutationTransformation, CLUS::ContinuousLinearTransformation
- mass
: CLUS::BinaryProbabilisticSplitter
- mass0
: CLUS::BinaryProbabilisticSplitter
- MaxGini()
: CLUS::MultidimNormalStatistics
- maxIter
: CLUS::Machine
- maxrows
: CLUS::DynamicBuffer
- min_no_datapoints
: CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >
- minMass
: CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >
- MoreSplits()
: CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryMultiClassificationSplitter
- mse
: CLUS::RPMSConsumer
- msg
: CLUS::ErrMsg
- mu
: CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal
- mult
: CLUS::Scale
- MulticlassContinuousDistribution()
: CLUS::MulticlassContinuousDistribution< T_Distribution >
- MulticlassDistribution()
: CLUS::MulticlassDistribution
- MultiDecisionTree()
: CLUS::MultiDecisionTree< T_Splitter >
- MultiDecisionTreeNode()
: CLUS::MultiDecisionTreeNode< T_Splitter >
- MultiDimNormal()
: CLUS::MultiDimNormal
- MultidimNormalStatistics()
: CLUS::MultidimNormalStatistics
- MultiplicativeInfer()
: CLUS::MulticlassDistribution, CLUS::MulticlassContinuousDistribution< T_Distribution >
- N
: CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal, CLUS::Machine, CLUS::BinaryObliqueSplitter
- negMeanLessThanPos()
: CLUS::NormalStatistics, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryMultiClassificationSplitter
- next
: CLUS::DynamicBuffer, CLUS::SyncObjList::listel
- noClasses
: CLUS::MulticlassDistribution
- noDatasets
: CLUS::MultiDecisionTree< T_Splitter >, CLUS::BinaryMultiClassificationSplitter
- nodeId
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- nonZero()
: CLUS::NormalStatistics
- Normalize()
: CLUS::TrainingData
- normalized
: CLUS::TrainingData
- NormalizeData()
: CLUS::SkinyMultiDimNormal, CLUS::MultiDimNormal, CLUS::Distribution
- NormalizeInferProbability()
: CLUS::Distribution
- NormalizeLearnProbability()
: CLUS::SkinyMultiDimNormal, CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal, CLUS::Distribution
- NormalizeProbability()
: CLUS::SimpleNormalDistribution, CLUS::Distribution
- NormalStatistics()
: CLUS::NormalStatistics
- NormType
: CLUS::Scale
- noWeighting
: CLUS::BinaryMultiClassificationSplitter
- nrData
: CLUS::RPMSConsumer
- nrinputs
: CLUS::RPMSConsumer
- numcols
: CLUS::DynamicBuffer
- NumCols()
: CLUS::TrainingData
- numDataSets
: CLUS::DiscretePermutationTransformation
- NumDiscreteCols()
: CLUS::DCTrainingData
- numrows
: CLUS::DynamicBuffer
- NumRows()
: CLUS::TrainingData
- parent
: CLUS::MultiDecisionTreeNode< T_Splitter >
- parentDistribution
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
- Permutation()
: CLUS::Permutation
- permutation
: CLUS::Permutation
- pos
: CLUS::GridInputProducer, CLUS::DynamicBuffer
- Print()
: CLUS::NormalStatistics, CLUS::BasicBinomialStatistics
- printBitFlipData()
: CLUS::MultiDecisionTree< T_Splitter >
- PrintMessage()
: CLUS::ErrMsg
- PrintSizesTree()
: CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >
- ProbabilisticBinomialStatistics()
: CLUS::ProbabilisticBinomialStatistics
- Probability()
: CLUS::SimpleNormalDistribution, CLUS::Distribution
- ProbabilityFirstBranch()
: CLUS::BinarySplitter
- ProbabilityFirstClass()
: CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >
- probabilityInfer
: CLUS::Distribution
- probabilityLearn
: CLUS::Distribution
- ProbabilityLeft()
: CLUS::BinaryProbabilisticSplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryObliqueProbabilisticSplitter
- ProbabilityLeftPrivate()
: CLUS::BinaryObliqueSplitter
- probFirstClass
: CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- probSet
: CLUS::ProbabilisticBinomialStatistics
- Prune()
: CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::Machine, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >
- PruneSubtree()
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- pruning
: CLUS::Machine
- pruningCost
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
- pruningError
: CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- pruningMistakes
: CLUS::MultiDecisionTreeNode< T_Splitter >
- pruningSamples
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >
- pruningTotalMass
: CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- pruningTotalMassLeft
: CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >
- purePart
: CLUS::BinaryObliqueSplitter
- PValueStatisticalTest()
: CLUS::MulticlassDistribution, CLUS::MulticlassContinuousDistribution< T_Distribution >
- radius
: CLUS::MultiDimNormal
- RandomCluster()
: CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::Distribution, CLUS::Cluster
- RandomDistribution()
: CLUS::SkinyMultiDimNormal, CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal, CLUS::Distribution
- RandomDistributions()
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
- RandomizePermutation()
: CLUS::Permutation
- realinput
: CLUS::RPMSConsumer
- regDim
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinarySplitter
- regression
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
- Regressor
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
- Reset()
: CLUS::MultidimNormalStatistics, CLUS::NormalStatistics
- ResetDomainSize()
: CLUS::BasicBinomialStatistics
- ResetSize()
: CLUS::Permutation
- Resize()
: CLUS::MultidimNormalStatistics
- root
: CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >
- rootDistribution
: CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >
- RPMSConsumer()
: CLUS::RPMSConsumer
- Run()
: CLUS::SyncObjList
- S
: CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal, CLUS::HiperPlanCluster
- s_Ai
: CLUS::SphericCluster
- s_Ai_Xj
: CLUS::SphericCluster
- s_p1
: CLUS::MultidimNormalStatistics
- s_p1_x
: CLUS::MultidimNormalStatistics
- S_p1_xxT
: CLUS::MultidimNormalStatistics
- s_p2
: CLUS::MultidimNormalStatistics
- s_p2_x
: CLUS::MultidimNormalStatistics
- S_p2_xxT
: CLUS::MultidimNormalStatistics
- S_x
: CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal
- S_x2
: CLUS::SimpleNormalDistribution
- S_xxT
: CLUS::MultiDimNormal
- saveInferPattern
: CLUS::Machine
- savePattern
: CLUS::Machine
- SaveToFile()
: CLUS::TrainingData, CLUS::Machine
- saveToStream()
: CLUS::DiscretePermutationTransformation, CLUS::Permutation
- SaveToStream()
: CLUS::TrainingData, CLUS::SphericCluster, CLUS::SkinyMultiDimNormal, CLUS::SimpleBinarySplitter, CLUS::Regressor, CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::Scale, CLUS::MultiDimNormal, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::MulticlassDistribution, CLUS::Machine, CLUS::LinearRegressor, CLUS::HiperPlanCluster, CLUS::EMHiperPlan, CLUS::Distribution, CLUS::Cluster, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryMultiClassificationSplitter, CLUS::BinaryDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >
- scale
: CLUS::Machine, CLUS::GridInputProducer
- Scale()
: CLUS::Scale
- ScaleData()
: CLUS::Machine
- schemaMatch
: CLUS::MultiDecisionTree< T_Splitter >
- SeparatingHyperplane
: CLUS::MultidimNormalStatistics, CLUS::BinarySplitter
- SeparatingSet
: CLUS::SimpleBinarySplitter, CLUS::BinaryMultiClassificationSplitter
- SeparationType
: CLUS::MultidimNormalStatistics
- SetCoefForInput()
: CLUS::Scale
- SetCoefForOutput()
: CLUS::Scale
- SetElipsoidality()
: CLUS::HiperPlanCluster
- SetFileName()
: CLUS::RPMSConsumer, CLUS::FileDataProducer
- SetInput()
: CLUS::DataConsumer
- setNodeID()
: CLUS::BinaryMultiClassificationSplitter
- SetOption()
: CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::Machine, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >
- SetOptionDbl()
: CLUS::HiperPlanCluster, CLUS::EMHiperPlan, CLUS::Distribution, CLUS::Cluster
- SetOptionOnComponents()
: CLUS::Machine
- SetOutputSize()
: CLUS::DataProducer
- SetPruningData()
: CLUS::Machine
- SetRealInput()
: CLUS::RPMSConsumer
- SetShiftsAttribute()
: CLUS::DiscretePermutationTransformation, CLUS::ContinuousLinearTransformation
- SetSigma()
: CLUS::EMHiperPlan
- SetTrainingData()
: CLUS::Machine
- shifts
: CLUS::DiscretePermutationTransformation, CLUS::ContinuousLinearTransformation
- sigma2
: CLUS::EMHiperPlan
- sigmaChol
: CLUS::MultiDimNormal
- SimpleBinarySplitter()
: CLUS::SimpleBinarySplitter
- SimpleNormalDistribution()
: CLUS::SimpleNormalDistribution
- SkinyMultiDimNormal()
: CLUS::SkinyMultiDimNormal
- slimness
: CLUS::HiperPlanCluster
- SphericCluster()
: CLUS::SphericCluster
- Split
: CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::Cluster, CLUS::BinomialStatistics
- split
: CLUS::NormalStatistics, CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- Splitable
: CLUS::Cluster
- Splited
: CLUS::Cluster
- splitPoint
: CLUS::SimpleBinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryMultiClassificationSplitter
- splitSetProbability
: CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter
- splitSTD
: CLUS::BinaryProbabilisticSplitter
- Splitter
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- splitType
: CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >
- splitVarComputed
: CLUS::NormalStatistics
- SplitVariable
: CLUS::MultidimNormalStatistics, CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryMultiClassificationSplitter
- splitVariance
: CLUS::NormalStatistics
- stable
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- Start()
: CLUS::SyncObj, CLUS::StreamDataConsumer, CLUS::RPMSConsumer, CLUS::GridInputProducer, CLUS::FileDataProducer, CLUS::FileDataConsumer
- StartLearning()
: CLUS::MulticlassDistribution, CLUS::MulticlassContinuousDistribution< T_Distribution >
- StartLearningEpoch()
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- State
: CLUS::Cluster, CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- state
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >, CLUS::Cluster
- statisticalTest
: CLUS::MulticlassDistribution
- step
: CLUS::GridInputProducer
- Stop()
: CLUS::SyncObj, CLUS::StreamDataConsumer, CLUS::RPMSConsumer, CLUS::FileDataProducer, CLUS::FileDataConsumer
- StopLearning()
: CLUS::MulticlassDistribution, CLUS::MulticlassContinuousDistribution< T_Distribution >
- StopLearningEpoch()
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- StreamDataConsumer()
: CLUS::StreamDataConsumer
- StreamDataProducer()
: CLUS::StreamDataProducer
- StreamDCTrainingData()
: CLUS::StreamDCTrainingData
- sum2C0
: CLUS::NormalStatistics
- sum2C1
: CLUS::NormalStatistics
- sumC0
: CLUS::NormalStatistics
- sumC1
: CLUS::NormalStatistics
- SyncObjList()
: CLUS::SyncObjList
- Table
: CLUS::TrainingData
- threshold
: CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >
- Tick()
: CLUS::SyncObj, CLUS::StreamDataProducer, CLUS::RPMSConsumer, CLUS::Machine, CLUS::GridInputProducer, CLUS::Filter
- tick()
: CLUS::StreamDataConsumer
- training
: CLUS::Machine
- TrainingData()
: CLUS::TrainingData
- Transform()
: CLUS::Scale
- type
: CLUS::Scale
- TypeName()
: CLUS::SphericCluster, CLUS::SkinyMultiDimNormal, CLUS::SimpleNormalDistribution, CLUS::Regressor, CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDimNormal, CLUS::MultiDecisionTree< T_Splitter >, CLUS::Machine, CLUS::LinearRegressor, CLUS::HiperPlanCluster, CLUS::EMHiperPlan, CLUS::Distribution, CLUS::Cluster, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >
- u
: CLUS::HiperPlanCluster
- UpdateANOVAElements()
: CLUS::SimpleNormalDistribution
- UpdateParameters()
: CLUS::MultidimNormalStatistics, CLUS::SkinyMultiDimNormal, CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal, CLUS::Distribution
- UpdatePruningStatistics()
: CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
- UpdateSplitStatistics()
: CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryMultiClassificationSplitter
- UpdateStatistics()
: CLUS::MultidimNormalStatistics, CLUS::NormalStatistics, CLUS::BasicBinomialStatistics, CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal, CLUS::Distribution
- UpdateStatisticsP()
: CLUS::BasicBinomialStatistics
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