Serialized Form

Class relational.types.Node extends edu.uci.ics.jung.graph.impl.UndirectedSparseVertex implements Serializable

Serialized Fields

label

int label

categories

weka.core.FastVector categories

id

int id


Class relational.classifier.ProbRNClassifier extends weka.classifiers.Classifier implements Serializable

Serialized Fields

labels

java.util.HashMap labels

priors

double[] priors

maxProb

double maxProb

train

weka.core.Instances train

numClasses

int numClasses


Class relational.classifier.ProbRNMultiHop extends ProbRNClassifier implements Serializable

Serialized Fields

minWeight

double minWeight

neighb

int neighb


Class relational.classifier.ProbRNMultiHopMultiLabel extends ProbRNMultiLabel implements Serializable

Serialized Fields

minWeight

double minWeight

neighb

int neighb


Class relational.classifier.ProbRNMultiLabel extends RNCMultiLabel implements Serializable

Serialized Fields

train

weka.core.Instances train

priors

double[] priors


Class relational.classifier.RelationalNeighborClassifier extends weka.classifiers.Classifier implements Serializable

Serialized Fields

numClasses

int numClasses

priors

double[] priors

numWithoutNeighbors

int numWithoutNeighbors

train

weka.core.Instances train

mostProbableClass

int mostProbableClass

maxProb

double maxProb

numInClasses

int[] numInClasses

labels

java.util.HashMap labels


Class relational.classifier.RNCMultiLabel extends weka.classifiers.Classifier implements Serializable

Serialized Fields

numClasses

int numClasses

train

weka.core.Instances train

numWithoutNeighbors

int numWithoutNeighbors

categories

weka.core.FastVector categories

mostProbableClass

int mostProbableClass

maxProb

double maxProb

numInClasses

int[] numInClasses

priors

double[] priors


Class relational.classifier.WeightedNaiveBayes extends weka.classifiers.bayes.NaiveBayesSimple implements Serializable

Serialized Fields

m_Counts

double[][] m_Counts
All the counts for nominal attributes.


m_Means

double[][] m_Means
The means for numeric attributes.


m_Devs

double[][] m_Devs
The standard deviations for numeric attributes.


m_Priors

double[] m_Priors
The prior probabilities of the classes.


m_Instances

weka.core.Instances m_Instances
The instances used for training.