SECRET: Compound Member Index

Main Page | Namespace List | Class Hierarchy | Data Structures | File List | Namespace Members | Data Fields | Globals | Related Pages

All | Functions | Variables | Enumerations | Enumeration values

a | b | c | d | e | f | g | i | l | m | n | o | p | r | s | t | u | v | w | y

- a -

adit : CLUS::Scale
alignSplits : CLUS::MultiDecisionTree< T_Splitter >
alpha_over_detChol_inDim : CLUS::MultiDimNormal
alpha_over_detChol_inDimp1 : CLUS::MultiDimNormal
alpha_over_sigma : CLUS::SimpleNormalDistribution

- b -

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 -

C : CLUS::MultiDimNormal, CLUS::LinearRegressor, CLUS::HiperPlanCluster
cdataset : CLUS::DiscretePermutationTransformation
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 >
classLabel : CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
cont : elemList
continuousShifts : CLUS::BinaryMultiClassificationSplitter
continuousStatistics : CLUS::SimpleBinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryMultiClassificationSplitter
continuousTransformer : CLUS::MultiDecisionTree< T_Splitter >, CLUS::BinaryMultiClassificationSplitter
convergenceLim : CLUS::Machine
count : CLUS::StreamDataConsumer, CLUS::SimpleBinarySplitter, CLUS::BinaryMultiClassificationSplitter
countC0 : CLUS::NormalStatistics, CLUS::SimpleBinarySplitter, CLUS::BinaryMultiClassificationSplitter
countC1 : CLUS::NormalStatistics
counts : CLUS::BasicBinomialStatistics
countsC0 : CLUS::BasicBinomialStatistics
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 >

- d -

data : CLUS::DynamicBuffer
dataCache : CLUS::Distribution, CLUS::Cluster
dataset : CLUS::ContinuousLinearTransformation
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 >
dim : CLUS::DynamicBuffer, CLUS::MultidimNormalStatistics
dimension : CLUS::SimpleNormalDistribution, CLUS::Cluster
disc : elemList
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
distributions : CLUS::MulticlassContinuousDistribution< T_Distribution >
Distributions : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
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

- e -

Elipsoidality : CLUS::HiperPlanCluster
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 >
emTrials : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
error : CLUS::HiperPlanCluster
examples0Seen : CLUS::BinaryMultiClassificationSplitter
examplesSeen : CLUS::BinaryMultiClassificationSplitter

- f -

filename : CLUS::RPMSConsumer, CLUS::FileDataProducer, CLUS::FileDataConsumer

- g -

gainComputed : CLUS::BasicBinomialStatistics
gridDim : CLUS::GridInputProducer

- i -

id : CLUS::BinaryMultiClassificationSplitter
in : CLUS::StreamDataProducer, CLUS::StreamDCTrainingData
index : CLUS::IndexedValue, CLUS::T_array
inDim : CLUS::Machine, CLUS::Distribution, CLUS::Cluster
inferMaxNodeId : CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >
input : CLUS::DataConsumer

- l -

L : CLUS::SphericCluster
labeled : CLUS::MultiDecisionTree< T_Splitter >

- m -

mae : CLUS::RPMSConsumer
mask : CLUS::DiscretePermutationTransformation, CLUS::ContinuousLinearTransformation
mass : CLUS::BinaryProbabilisticSplitter
mass0 : CLUS::BinaryProbabilisticSplitter
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 >
mse : CLUS::RPMSConsumer
msg : CLUS::ErrMsg
mu : CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal
mult : CLUS::Scale

- n -

N : CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal, CLUS::Machine, CLUS::BinaryObliqueSplitter
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 >
normalized : CLUS::TrainingData
noWeighting : CLUS::BinaryMultiClassificationSplitter
nrData : CLUS::RPMSConsumer
nrinputs : CLUS::RPMSConsumer
numcols : CLUS::DynamicBuffer
numDataSets : CLUS::DiscretePermutationTransformation
numrows : CLUS::DynamicBuffer

- o -

obj : CLUS::SyncObjList::listel
objListHead : CLUS::SyncObjList
objListTail : CLUS::SyncObjList
out : CLUS::StreamDataConsumer, CLUS::RPMSConsumer
outDim : CLUS::Machine, CLUS::Cluster
output : CLUS::DataProducer

- p -

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
pos : CLUS::GridInputProducer, CLUS::DynamicBuffer
probabilityInfer : CLUS::Distribution
probabilityLearn : CLUS::Distribution
probFirstClass : CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
probSet : CLUS::ProbabilisticBinomialStatistics
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

- r -

- s -

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
scale : CLUS::Machine, CLUS::GridInputProducer
schemaMatch : CLUS::MultiDecisionTree< T_Splitter >
SeparatingHyperplane : CLUS::MultidimNormalStatistics, CLUS::BinarySplitter
SeparatingSet : CLUS::SimpleBinarySplitter, CLUS::BinaryMultiClassificationSplitter
shifts : CLUS::DiscretePermutationTransformation, CLUS::ContinuousLinearTransformation
sigma2 : CLUS::EMHiperPlan
sigmaChol : CLUS::MultiDimNormal
slimness : CLUS::HiperPlanCluster
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 >
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
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
sum2C0 : CLUS::NormalStatistics
sum2C1 : CLUS::NormalStatistics
sumC0 : CLUS::NormalStatistics
sumC1 : CLUS::NormalStatistics

- t -

Table : CLUS::TrainingData
threshold : CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >
training : CLUS::Machine
type : CLUS::Scale

- u -

u : CLUS::HiperPlanCluster

- v -

value : CLUS::IndexedValue
variance : CLUS::SimpleNormalDistribution

- w -

weight : CLUS::Distribution, CLUS::Cluster
whichSol : CLUS::NormalStatistics

- y -

y2m : CLUS::RPMSConsumer
ym : CLUS::RPMSConsumer

Generated on Mon Jul 21 16:57:43 2003 for SECRET by

doxygen

1.3.2