Uses of Class
moa.core.DoubleVector
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Uses of DoubleVector in com.yahoo.labs.samoa.instances
Fields in com.yahoo.labs.samoa.instances declared as DoubleVector Modifier and Type Field Description protected DoubleVector[]
MultiLabelPrediction. prediction
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Uses of DoubleVector in moa.classifiers.bayes
Fields in moa.classifiers.bayes declared as DoubleVector Modifier and Type Field Description protected DoubleVector[]
NaiveBayesMultinomial. m_wordTotalForClass
probability that a word (w) exists in a class (H) (i.e.protected DoubleVector
NaiveBayes. observedClassDistribution
Methods in moa.classifiers.bayes with parameters of type DoubleVector Modifier and Type Method Description static double[]
NaiveBayes. doNaiveBayesPrediction(Instance inst, DoubleVector observedClassDistribution, AutoExpandVector<AttributeClassObserver> attributeObservers)
static double[]
NaiveBayes. doNaiveBayesPredictionLog(Instance inst, DoubleVector observedClassDistribution, AutoExpandVector<AttributeClassObserver> observers, AutoExpandVector<AttributeClassObserver> observers2)
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Uses of DoubleVector in moa.classifiers.core.attributeclassobservers
Fields in moa.classifiers.core.attributeclassobservers declared as DoubleVector Modifier and Type Field Description DoubleVector
BinaryTreeNumericAttributeClassObserver.Node. classCountsLeft
DoubleVector
BinaryTreeNumericAttributeClassObserver.Node. classCountsRight
DoubleVector
VFMLNumericAttributeClassObserver.Bin. classWeights
DoubleVector
FIMTDDNumericAttributeClassObserver.Node. leftStatistics
protected DoubleVector
GaussianNumericAttributeClassObserver. maxValueObservedPerClass
protected DoubleVector
GaussianNumericAttributeClassObserver. minValueObservedPerClass
DoubleVector
FIMTDDNumericAttributeClassObserver.Node. rightStatistics
Fields in moa.classifiers.core.attributeclassobservers with type parameters of type DoubleVector Modifier and Type Field Description AutoExpandVector<DoubleVector>
NominalAttributeClassObserver. attValDistPerClass
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Uses of DoubleVector in moa.classifiers.functions
Fields in moa.classifiers.functions declared as DoubleVector Modifier and Type Field Description protected DoubleVector
AdaGrad. m_velocity
Stores the weights (+ bias in the last element)protected DoubleVector
SGD. m_weights
Stores the weights (+ bias in the last element)protected DoubleVector[]
SGDMultiClass. m_weights
Stores the weights (+ bias in the last element)protected DoubleVector
MajorityClass. observedClassDistribution
Methods in moa.classifiers.functions with parameters of type DoubleVector Modifier and Type Method Description protected static double
SGD. dotProd(Instance inst1, DoubleVector weights, int classIndex)
protected static double
SGDMultiClass. dotProd(Instance inst1, DoubleVector weights, int classIndex)
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Uses of DoubleVector in moa.classifiers.meta
Methods in moa.classifiers.meta that return DoubleVector Modifier and Type Method Description DoubleVector
StreamingGradientBoostedTrees.SGBT. getRawScoreForInstance(Instance inst)
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Uses of DoubleVector in moa.classifiers.multilabel.core.splitcriteria
Fields in moa.classifiers.multilabel.core.splitcriteria declared as DoubleVector Modifier and Type Field Description DoubleVector
PCTWeightedICVarianceReduction. inputWeights
DoubleVector
WeightedICVarianceReduction. weights
Methods in moa.classifiers.multilabel.core.splitcriteria with parameters of type DoubleVector Modifier and Type Method Description protected double
ICVarianceReduction. computeVariance(DoubleVector v)
double[]
ICVarianceReduction. getBranchesSplitMerits(DoubleVector[][] postSplitDists)
double[]
ICVarianceReduction. getBranchSplitVarianceOutput(DoubleVector[] postSplitDists)
double
ICVarianceReduction. getMeritOfSplit(DoubleVector[] preSplitDist, DoubleVector[][] postSplitDists)
double
PCTWeightedICVarianceReduction. getMeritOfSplit(DoubleVector[] preSplitTargetDist, DoubleVector[][] postSplitTargetDists, DoubleVector[] preSplitInputDist, DoubleVector[][] postSplitInputDists)
double
PCTWeightedICVarianceReduction. getMeritOfSplit(DoubleVector[] preSplitTargetDist, DoubleVector[] preSplitInputDist, DoubleVector[][] postSplitTargetDists, DoubleVector[][] postSplitInputDists)
double
WeightedICVarianceReduction. getMeritOfSplit(DoubleVector[] preSplitDist, DoubleVector[][] postSplitDists)
protected double
PCTWeightedICVarianceReduction. getMeritOfSplitForAttribute(DoubleVector preSplitDist, DoubleVector[] postSplitDists)
protected double
ICVarianceReduction. getMeritOfSplitForOutput(DoubleVector[] preSplitDist, DoubleVector[][] postSplitDists, int outputAttributeIndex)
protected double
ICVarianceReduction. getMeritOfSplitForOutput(DoubleVector preSplitDist, DoubleVector[] postSplitDists)
double
ICVarianceReduction. getRangeOfMerit(DoubleVector[] preSplitDist)
Constructors in moa.classifiers.multilabel.core.splitcriteria with parameters of type DoubleVector Constructor Description PCTWeightedICVarianceReduction(DoubleVector targetWeights, DoubleVector inputWeights, double targetInputTradeoff)
WeightedICVarianceReduction(DoubleVector targetWeights)
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Uses of DoubleVector in moa.classifiers.multilabel.trees
Fields in moa.classifiers.multilabel.trees declared as DoubleVector Modifier and Type Field Description DoubleVector
ISOUPTree.LeafNode. errorM
DoubleVector
ISOUPTree.LeafNode. errorP
DoubleVector
ISOUPTree. examplesSeen
DoubleVector
ISOUPTree.Node. examplesSeen
protected DoubleVector
ISOUPTree.InnerNode. PHmins
protected DoubleVector
ISOUPTree.InnerNode. PHsums
protected DoubleVector
ISOUPTree.InnerNode. sumOfAbsErrors
DoubleVector
ISOUPTree. sumOfAttrSquares
DoubleVector
ISOUPTree. sumOfAttrValues
DoubleVector
ISOUPTree.Node. sumOfInputSquares
DoubleVector
ISOUPTree.Node. sumOfInputValues
DoubleVector
ISOUPTree.Node. sumOfSquares
DoubleVector
ISOUPTree. sumOfSquares
DoubleVector
ISOUPTree.Node. sumOfValues
DoubleVector
ISOUPTree. sumOfValues
DoubleVector
ISOUPTree. targetWeights
DoubleVector
ISOUPTree.Node. weightOfInputs
DoubleVector
ISOUPTree. weightOfInputs
Methods in moa.classifiers.multilabel.trees that return DoubleVector Modifier and Type Method Description DoubleVector
ISOUPTreeRF. getFeatureScores()
DoubleVector
ISOUPTreeRF. getNodeFeatureScore(ISOUPTree.Node node)
Methods in moa.classifiers.multilabel.trees with parameters of type DoubleVector Modifier and Type Method Description static double
ISOUPTree. scalarProduct(DoubleVector u, DoubleVector v)
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Uses of DoubleVector in moa.classifiers.rules
Fields in moa.classifiers.rules declared as DoubleVector Modifier and Type Field Description protected DoubleVector
RuleClassification. attributeMissingValues
protected DoubleVector
RuleClassification. attributesProbability
protected DoubleVector
RuleClassification. attributeStatistics
protected DoubleVector
RuleClassification. obserClassDistrib
protected DoubleVector
RuleClassifier. observedClassDistribution
protected DoubleVector
RuleClassifier. ruleClassIndex
protected DoubleVector
RuleClassifier. saveBestEntropy
protected DoubleVector
RuleClassifier. saveBestEntropyNominalAttrib
protected DoubleVector
RuleClassifier. saveBestGlobalEntropy
protected DoubleVector
RuleClassification. squaredAttributeStatistics
Methods in moa.classifiers.rules with parameters of type DoubleVector Modifier and Type Method Description boolean
RuleClassifier. checkBestAttrib(double n, AutoExpandVector<AttributeClassObserver> observerss, DoubleVector observedClassDistribution)
double
RuleClassifier. entropy(DoubleVector ValorDistClassE)
void
RuleClassifier. findBestValEntropy(BinaryTreeNumericAttributeClassObserver.Node node, DoubleVector classCountL, DoubleVector classCountR, boolean status, double minEntropy, DoubleVector parentCCLeft)
protected double[]
RuleClassifier. getBestSecondBestEntropy(DoubleVector entropy)
protected double[]
RuleClassifier. oberversDistribProb(Instance inst, DoubleVector classDistrib)
Method parameters in moa.classifiers.rules with type arguments of type DoubleVector Modifier and Type Method Description void
RuleClassifier. findBestValEntropyNominalAtt(AutoExpandVector<DoubleVector> attrib, int attNumValues)
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Uses of DoubleVector in moa.classifiers.rules.core
Fields in moa.classifiers.rules.core declared as DoubleVector Modifier and Type Field Description protected DoubleVector
RuleActiveLearningNode. nodeStatistics
Methods in moa.classifiers.rules.core that return DoubleVector Modifier and Type Method Description static DoubleVector[]
Utils. copy(DoubleVector[] toCopy)
static DoubleVector[][]
Utils. copy(DoubleVector[][] toCopy)
static DoubleVector
Utils. floatToDoubleVector(SingleVector toCopy)
DoubleVector
RuleActiveLearningNode. getNodeStatistics()
Methods in moa.classifiers.rules.core with parameters of type DoubleVector Modifier and Type Method Description static double
Utils. computeEntropy(DoubleVector statistics)
static double
Utils. computeSD(DoubleVector statistics)
static double
Utils. computeVariance(DoubleVector statistics)
static DoubleVector[]
Utils. copy(DoubleVector[] toCopy)
static DoubleVector[][]
Utils. copy(DoubleVector[][] toCopy)
static SingleVector[]
Utils. copyAsFloatVector(DoubleVector[] toCopy)
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Uses of DoubleVector in moa.classifiers.rules.featureranking
Fields in moa.classifiers.rules.featureranking declared as DoubleVector Modifier and Type Field Description protected DoubleVector
BasicFeatureRanking. attributeImportance
protected DoubleVector
MeritFeatureRanking. attributeImportance
Methods in moa.classifiers.rules.featureranking that return DoubleVector Modifier and Type Method Description DoubleVector
MeritFeatureRanking. getAccumulated()
DoubleVector
MeritFeatureRanking.RuleInformation. getAccumulated()
DoubleVector
BasicFeatureRanking.RuleInformation. getAccumulatedMerit()
DoubleVector
MeritFeatureRanking.RuleInformation. getCurrent()
abstract DoubleVector
AbstractFeatureRanking. getFeatureRankings()
DoubleVector
BasicFeatureRanking. getFeatureRankings()
DoubleVector
FeatureRanking. getFeatureRankings()
DoubleVector
MeritFeatureRanking. getFeatureRankings()
DoubleVector
NoFeatureRanking. getFeatureRankings()
DoubleVector
WeightedMajorityFeatureRanking. getFeatureRankings()
Methods in moa.classifiers.rules.featureranking with parameters of type DoubleVector Modifier and Type Method Description void
MeritFeatureRanking.RuleInformation. updateCurrent(DoubleVector merits)
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Uses of DoubleVector in moa.classifiers.rules.featureranking.messages
Fields in moa.classifiers.rules.featureranking.messages declared as DoubleVector Modifier and Type Field Description protected DoubleVector
MeritCheckMessage. merits
Methods in moa.classifiers.rules.featureranking.messages that return DoubleVector Modifier and Type Method Description DoubleVector
MeritCheckMessage. getMerits()
Constructors in moa.classifiers.rules.featureranking.messages with parameters of type DoubleVector Constructor Description MeritCheckMessage(DoubleVector merits)
MeritCheckMessage(DoubleVector merits, boolean[] learningAttributes)
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Uses of DoubleVector in moa.classifiers.rules.functions
Fields in moa.classifiers.rules.functions declared as DoubleVector Modifier and Type Field Description DoubleVector
Perceptron. perceptronattributeStatistics
DoubleVector
Perceptron. squaredperceptronattributeStatistics
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Uses of DoubleVector in moa.classifiers.rules.multilabel.attributeclassobservers
Fields in moa.classifiers.rules.multilabel.attributeclassobservers declared as DoubleVector Modifier and Type Field Description protected DoubleVector[]
MultiLabelBSTreePCT. leftInputStatistics
protected DoubleVector[]
MultiLabelBSTree. leftStatistics
protected DoubleVector[]
MultiLabelBSTreeFloat. leftStatistics
protected DoubleVector[]
MultiLabelBSTreePCT. leftTargetStatistics
protected DoubleVector[]
MultiLabelBSTreePCT. rightInputStatistics
protected DoubleVector[]
MultiLabelBSTree. rightStatistics
protected DoubleVector[]
MultiLabelBSTreeFloat. rightStatistics
protected DoubleVector[]
MultiLabelBSTreePCT. rightTargetStatistics
Methods in moa.classifiers.rules.multilabel.attributeclassobservers with parameters of type DoubleVector Modifier and Type Method Description AttributeExpansionSuggestion
AttributeStatisticsObserver. getBestEvaluatedSplitSuggestion(MultiLabelSplitCriterion criterion, DoubleVector[] preSplitStatistics, int inputAttributeIndex)
Gets the best split suggestion given a criterion and a class distributionAttributeExpansionSuggestion
MultiLabelBSTree. getBestEvaluatedSplitSuggestion(MultiLabelSplitCriterion criterion, DoubleVector[] preSplitStatistics, int inputAttributeIndex)
AttributeExpansionSuggestion
MultiLabelBSTreeFloat. getBestEvaluatedSplitSuggestion(MultiLabelSplitCriterion criterion, DoubleVector[] preSplitStatistics, int inputAttributeIndex)
AttributeExpansionSuggestion
MultiLabelBSTreePCT. getBestEvaluatedSplitSuggestion(MultiLabelSplitCriterion criterion, DoubleVector[] preSplitStatistics, int inputAttributeIndex)
AttributeExpansionSuggestion
MultiLabelBSTreePCT. getBestEvaluatedSplitSuggestion(MultiLabelSplitCriterion criterion, DoubleVector[] preSplitTargetStatistics, DoubleVector[] preSplitInputStatistics, int inputAttributeIndex)
AttributeExpansionSuggestion
MultiLabelNominalAttributeObserver. getBestEvaluatedSplitSuggestion(MultiLabelSplitCriterion criterion, DoubleVector[] preSplitStatistics, int inputAttributeIndex)
void
AttributeStatisticsObserver. observeAttribute(double inputAttributeValue, DoubleVector[] statistics)
Updates statistics of this observer given an attribute value, the index of the statistic and the weight of the instance observedvoid
MultiLabelBSTree.Node. observeAttribute(double inputAttributeValue, DoubleVector[] statistics)
Updates tree with new observationvoid
MultiLabelBSTree. observeAttribute(double inputAttributeValue, DoubleVector[] statistics)
void
MultiLabelBSTreeFloat.Node. observeAttribute(double inputAttributeValue, DoubleVector[] statistics)
Updates tree with new observationvoid
MultiLabelBSTreeFloat. observeAttribute(double inputAttributeValue, DoubleVector[] statistics)
void
MultiLabelBSTreePCT.Node. observeAttribute(double inputAttributeValue, DoubleVector[] targetStatistics, DoubleVector[] inputStatistics)
Updates tree with new observationvoid
MultiLabelBSTreePCT. observeAttribute(double inputAttributeValue, DoubleVector[] statistics)
void
MultiLabelBSTreePCT. observeAttribute(double inputAttributeValue, DoubleVector[] targetStatistics, DoubleVector[] inputStatistics)
void
MultiLabelNominalAttributeObserver. observeAttribute(double inputAttributeValue, DoubleVector[] observedStatistics)
protected AttributeExpansionSuggestion
MultiLabelBSTree. searchForBestSplitOption(MultiLabelBSTree.Node currentNode, AttributeExpansionSuggestion currentBestOption, MultiLabelSplitCriterion criterion, DoubleVector[] preSplitStatistics, int inputAttributeIndex)
protected AttributeExpansionSuggestion
MultiLabelBSTreeFloat. searchForBestSplitOption(MultiLabelBSTreeFloat.Node currentNode, AttributeExpansionSuggestion currentBestOption, MultiLabelSplitCriterion criterion, DoubleVector[] preSplitStatistics, int inputAttributeIndex)
protected AttributeExpansionSuggestion
MultiLabelBSTreePCT. searchForBestSplitOption(MultiLabelBSTreePCT.Node currentNode, AttributeExpansionSuggestion currentBestOption, MultiLabelSplitCriterion criterion, DoubleVector[] preSplitTargetStatistics, DoubleVector[] preSplitInputStatistics, int inputAttributeIndex)
Constructors in moa.classifiers.rules.multilabel.attributeclassobservers with parameters of type DoubleVector Constructor Description Node(double inputAttributeValue, DoubleVector[] statistics)
Node(double inputAttributeValue, DoubleVector[] statistics)
Node(double inputAttributeValue, DoubleVector[] targetStatistics, DoubleVector[] inputStatistics)
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Uses of DoubleVector in moa.classifiers.rules.multilabel.core
Fields in moa.classifiers.rules.multilabel.core declared as DoubleVector Modifier and Type Field Description protected DoubleVector[]
LearningLiteral. literalStatistics
DoubleVector[][]
AttributeExpansionSuggestion. resultingNodeStatistics
Methods in moa.classifiers.rules.multilabel.core that return DoubleVector Modifier and Type Method Description DoubleVector[][]
AttributeExpansionSuggestion. getResultingNodeStatistics()
Constructors in moa.classifiers.rules.multilabel.core with parameters of type DoubleVector Constructor Description AttributeExpansionSuggestion(Predicate predicate, DoubleVector[][] resultingNodeStatistics, double merit)
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Uses of DoubleVector in moa.classifiers.rules.multilabel.core.splitcriteria
Methods in moa.classifiers.rules.multilabel.core.splitcriteria with parameters of type DoubleVector Modifier and Type Method Description double[]
MultilabelInformationGain. getBranchesSplitMerits(DoubleVector[][] postSplitDists)
double[]
MultiLabelSplitCriterion. getBranchesSplitMerits(DoubleVector[][] postSplitDists)
double[]
MultiTargetVarianceRatio. getBranchesSplitMerits(DoubleVector[][] postSplitDists)
double[]
MultilabelInformationGain. getBranchSplitEntropyOutput(DoubleVector[] postSplitDists)
double[]
MultiTargetVarianceRatio. getBranchSplitVarianceOutput(DoubleVector[] postSplitDists)
double
MultilabelInformationGain. getMeritOfSplit(DoubleVector[] preSplitDist, DoubleVector[][] postSplitDists)
double
MultiLabelSplitCriterion. getMeritOfSplit(DoubleVector[] preSplitDist, DoubleVector[][] postSplitDists)
double
MultiTargetVarianceRatio. getMeritOfSplit(DoubleVector[] preSplitDist, DoubleVector[][] postSplitDists)
protected double
MultilabelInformationGain. getMeritOfSplitForOutput(DoubleVector[] preSplitDist, DoubleVector[][] postSplitDists, int outputAttributeIndex)
protected double
MultilabelInformationGain. getMeritOfSplitForOutput(DoubleVector preSplitDist, DoubleVector[] postSplitDists)
protected double
MultiTargetVarianceRatio. getMeritOfSplitForOutput(DoubleVector[] preSplitDist, DoubleVector[][] postSplitDists, int outputAttributeIndex)
protected double
MultiTargetVarianceRatio. getMeritOfSplitForOutput(DoubleVector preSplitDist, DoubleVector[] postSplitDists)
double
MultilabelInformationGain. getRangeOfMerit(DoubleVector[] preSplitDist)
double
MultiLabelSplitCriterion. getRangeOfMerit(DoubleVector[] preSplitDist)
double
MultiTargetVarianceRatio. getRangeOfMerit(DoubleVector[] preSplitDist)
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Uses of DoubleVector in moa.classifiers.rules.multilabel.outputselectors
Methods in moa.classifiers.rules.multilabel.outputselectors with parameters of type DoubleVector Modifier and Type Method Description int[]
EntropyThreshold. getNextOutputIndices(DoubleVector[] resultingStatistics, DoubleVector[] currentLiteralStatistics, int[] currentIndices)
int[]
OutputAttributesSelector. getNextOutputIndices(DoubleVector[] resultingLiteralStatistics, DoubleVector[] currentLiteralStatistics, int[] currentIndices)
int[]
SelectAllOutputs. getNextOutputIndices(DoubleVector[] resultingStatistics, DoubleVector[] currentLiteralStatistics, int[] currentIndices)
int[]
StdDevThreshold. getNextOutputIndices(DoubleVector[] resultingStatistics, DoubleVector[] currentLiteralStatistics, int[] currentIndices)
int[]
VarianceThreshold. getNextOutputIndices(DoubleVector[] resultingStatistics, DoubleVector[] currentLiteralStatistics, int[] currentIndices)
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Uses of DoubleVector in moa.classifiers.trees
Fields in moa.classifiers.trees declared as DoubleVector Modifier and Type Field Description protected DoubleVector
EFDT.Node. classDistributionAtTimeOfCreation
protected DoubleVector
DecisionStump. observedClassDistribution
protected DoubleVector
EFDT.Node. observedClassDistribution
protected DoubleVector
HoeffdingOptionTree.Node. observedClassDistribution
protected DoubleVector
HoeffdingTree.Node. observedClassDistribution
protected DoubleVector
ARFFIMTDD. sumOfAttrSquares
protected DoubleVector
FIMTDD. sumOfAttrSquares
protected DoubleVector
SelfOptimisingBaseTree. sumOfAttrSquares
protected DoubleVector
ARFFIMTDD. sumOfAttrValues
protected DoubleVector
FIMTDD. sumOfAttrValues
protected DoubleVector
SelfOptimisingBaseTree. sumOfAttrValues
protected DoubleVector
ARFFIMTDD.FIMTDDPerceptron. weightAttribute
protected DoubleVector
FIMTDD.FIMTDDPerceptron. weightAttribute
protected DoubleVector
SelfOptimisingBaseTree.FIMTDDPerceptron. weightAttribute
Methods in moa.classifiers.trees that return DoubleVector Modifier and Type Method Description DoubleVector
ARFFIMTDD.FIMTDDPerceptron. getWeights()
DoubleVector
FIMTDD.FIMTDDPerceptron. getWeights()
DoubleVector
SelfOptimisingBaseTree.FIMTDDPerceptron. getWeights()
DoubleVector
ARFFIMTDD.FIMTDDPerceptron. normalizedInstance(Instance inst)
DoubleVector
FIMTDD.FIMTDDPerceptron. normalizedInstance(Instance inst)
DoubleVector
SelfOptimisingBaseTree.FIMTDDPerceptron. normalizedInstance(Instance inst)
Methods in moa.classifiers.trees with parameters of type DoubleVector Modifier and Type Method Description double
ARFFIMTDD.FIMTDDPerceptron. prediction(DoubleVector instanceValues)
Output the prediction made by this perceptron on the given instancedouble
FIMTDD.FIMTDDPerceptron. prediction(DoubleVector instanceValues)
Output the prediction made by this perceptron on the given instancedouble
SelfOptimisingBaseTree.FIMTDDPerceptron. prediction(DoubleVector instanceValues)
Output the prediction made by this perceptron on the given instancedouble
ARFFIMTDD. scalarProduct(DoubleVector u, DoubleVector v)
double
FIMTDD. scalarProduct(DoubleVector u, DoubleVector v)
double
SelfOptimisingBaseTree. scalarProduct(DoubleVector u, DoubleVector v)
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Uses of DoubleVector in moa.classifiers.trees.iadem
Fields in moa.classifiers.trees.iadem declared as DoubleVector Modifier and Type Field Description protected DoubleVector
Iadem3.AdaptiveNumericVirtualNode. altClassDist
protected DoubleVector
Iadem2.NominalVirtualNode. attValueDist
protected DoubleVector
IademGaussianNumericAttributeClassObserver. classDist
protected DoubleVector
IademVFMLNumericAttributeClassObserver. classDist
protected DoubleVector
Iadem2.Node. classValueDist
DoubleVector
IademVFMLNumericAttributeClassObserver.Bin. classWeights
Fields in moa.classifiers.trees.iadem with type parameters of type DoubleVector Modifier and Type Field Description protected AutoExpandVector<DoubleVector>
Iadem2.NominalVirtualNode. nominalAttClassObserver
Methods in moa.classifiers.trees.iadem that return DoubleVector Modifier and Type Method Description DoubleVector
Iadem2.NominalVirtualNode. computeConditionalProbability(double valor)
DoubleVector
Iadem2.NumericVirtualNode. computeConditionalProbability(double value)
abstract DoubleVector
Iadem2.VirtualNode. computeConditionalProbability(double value)
DoubleVector
Iadem2.Node. getClassValueDist()
Methods in moa.classifiers.trees.iadem that return types with arguments of type DoubleVector Modifier and Type Method Description AutoExpandVector<DoubleVector>
Iadem2.NominalVirtualNode. getNominalAttClassObserver()
Methods in moa.classifiers.trees.iadem with parameters of type DoubleVector Modifier and Type Method Description void
Iadem2.Node. setClassValueDist(DoubleVector classValueDist)
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Uses of DoubleVector in moa.core
Methods in moa.core with parameters of type DoubleVector Modifier and Type Method Description void
DoubleVector. addValues(DoubleVector toAdd)
void
DoubleVector. subtractValues(DoubleVector toSubtract)
Constructors in moa.core with parameters of type DoubleVector Constructor Description DoubleVector(DoubleVector toCopy)
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Uses of DoubleVector in moa.gui.experimentertab
Methods in moa.gui.experimentertab that return DoubleVector Modifier and Type Method Description DoubleVector
Measure. getValues()
Methods in moa.gui.experimentertab with parameters of type DoubleVector Modifier and Type Method Description void
Measure. computeValue(DoubleVector values)
Calculates the value of measurevoid
Measure. setValues(DoubleVector values)
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