Modifier and Type | Field and Description |
---|---|
protected DoubleVector[] |
NaiveBayesMultinomial.m_wordTotalForClass
probability that a word (w) exists in a class (H) (i.e.
|
protected DoubleVector |
NaiveBayes.observedClassDistribution |
Modifier and Type | Method and Description |
---|---|
static double[] |
NaiveBayes.doNaiveBayesPrediction(weka.core.Instance inst,
DoubleVector observedClassDistribution,
AutoExpandVector<AttributeClassObserver> attributeObservers) |
static double[] |
NaiveBayes.doNaiveBayesPredictionLog(weka.core.Instance inst,
DoubleVector observedClassDistribution,
AutoExpandVector<AttributeClassObserver> observers,
AutoExpandVector<AttributeClassObserver> observers2) |
Modifier and Type | Field and 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 |
Modifier and Type | Field and Description |
---|---|
AutoExpandVector<DoubleVector> |
NominalAttributeClassObserver.attValDistPerClass |
Modifier and Type | Field and Description |
---|---|
protected DoubleVector[] |
SGDMultiClass.m_weights
Stores the weights (+ bias in the last element)
|
protected DoubleVector |
SGD.m_weights
Stores the weights (+ bias in the last element)
|
protected DoubleVector |
MajorityClass.observedClassDistribution |
Modifier and Type | Method and Description |
---|---|
protected static double |
SGDMultiClass.dotProd(weka.core.Instance inst1,
DoubleVector weights,
int classIndex) |
protected static double |
SGD.dotProd(weka.core.Instance inst1,
DoubleVector weights,
int classIndex) |
Modifier and Type | Field and 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 |
Modifier and Type | Method and 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(weka.core.Instance inst,
DoubleVector classDistrib) |
Modifier and Type | Method and Description |
---|---|
void |
RuleClassifier.findBestValEntropyNominalAtt(AutoExpandVector<DoubleVector> attrib,
int attNumValues) |
Modifier and Type | Field and Description |
---|---|
protected DoubleVector |
RuleActiveLearningNode.nodeStatistics |
Modifier and Type | Method and Description |
---|---|
DoubleVector |
RuleActiveLearningNode.getNodeStatistics() |
Modifier and Type | Field and Description |
---|---|
DoubleVector |
Perceptron.perceptronattributeStatistics |
DoubleVector |
Perceptron.squaredperceptronattributeStatistics |
Modifier and Type | Field and Description |
---|---|
protected DoubleVector |
ORTO.ORTOPerceptron.attributeStatistics |
protected DoubleVector |
ORTO.InnerNode.lossStatistics |
protected DoubleVector |
ORTO.ActiveLearningNode.nodeStatistics |
protected DoubleVector |
HoeffdingTree.Node.observedClassDistribution |
protected DoubleVector |
HoeffdingOptionTree.Node.observedClassDistribution |
protected DoubleVector |
DecisionStump.observedClassDistribution |
protected DoubleVector |
ORTO.ActiveLearningNode.splitRatioStatistics |
protected DoubleVector |
ORTO.ORTOPerceptron.squaredAttributeStatistics |
protected DoubleVector |
FIMTDD.FIMTDDPerceptron.weightAttribute |
Modifier and Type | Method and Description |
---|---|
DoubleVector |
FIMTDD.FIMTDDPerceptron.getWeights() |
DoubleVector |
FIMTDD.FIMTDDPerceptron.normalizedInstance(weka.core.Instance inst,
FIMTDD tree) |
Modifier and Type | Method and Description |
---|---|
double |
FIMTDD.FIMTDDPerceptron.prediction(DoubleVector instanceValues)
Output the prediction made by this perceptron on the given instance
|
double |
FIMTDD.scalarProduct(DoubleVector u,
DoubleVector v) |
Modifier and Type | Method and Description |
---|---|
void |
DoubleVector.addValues(DoubleVector toAdd) |
void |
DoubleVector.subtractValues(DoubleVector toSubtract) |
Constructor and Description |
---|
DoubleVector(DoubleVector toCopy) |
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