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c_matrix
- Variable in class relational.evaluation.
EvaluationMethods
characters(char[], int, int)
- Method in class relational.helper.
ReadXMLTraintest
characters(char[], int, int)
- Method in class relational.preprocessing.
XMLFilter
classes
- Variable in class relational.evaluation.
EvaluationMethods
classified
- Variable in class relational.classifier.
Iterative
classifyInstance(Instance, double[])
- Method in class relational.classifier.
ProbRNClassifier
Classifies an instance according to the class probability distribution
classifyInstance(Instance, double[], int, double, HashMap)
- Method in class relational.classifier.
ProbRNMultiLabel
Classifies an instance according to the class probability distribution
classifyInstance(Instance, SparseGraph, int, HashMap, HashMap, double, HashMap, String)
- Method in class relational.classifier.
RNCMultiLabel
Classifies an instance
classifyInstance(Instance, SparseGraph, HashMap, HashMap, HashMap, String)
- Method in class relational.classifier.
RelationalNeighborClassifier
Classifies an instance
classifyInstance(Instance, double[], HashMap)
- Method in class relational.classifier.
WeightedNaiveBayes
cm_cut
- Variable in class relational.evaluation.
EvaluationMethods
cm_dif
- Variable in class relational.evaluation.
EvaluationMethods
cm_dif2
- Variable in class relational.evaluation.
EvaluationMethods
cm_h
- Variable in class relational.evaluation.
EvaluationMethods
cm_t
- Variable in class relational.evaluation.
EvaluationMethods
combineModelsVoting(HashMap[], int)
- Method in class relational.classifier.
Acmclassifier
Combine models by using Voting
combineModelsVotingMulti(int, double, HashMap[])
- Method in class relational.classifier.
Acmclassifier
Combine models by using Voting
computeAccuracy(Hashtable, String)
- Static method in class relational.evaluation.
EvaluationMethods
computeAccuracyInst(Hashtable)
- Static method in class relational.evaluation.
EvaluationMethods
computeDistribution(Instances)
- Static method in class relational.helper.
DataSetHelper
Computes distribution of instances (regarding the categories)
computeNumLabeledInstances(Set, HashMap, SparseGraph, String)
- Method in class relational.classifier.
RNCMultiLabel
computeNumLabeledInstances(SparseGraph, Set, HashMap, String)
- Method in class relational.classifier.
RelationalNeighborClassifier
computePriors(Instances)
- Method in class relational.classifier.
RNCMultiLabel
computePriors(FastVector, int, String)
- Static method in class relational.helper.
DataSetHelper
Computes the prior from the training set (for binary classification)
computePriors(FastVector, HashMap, String)
- Static method in class relational.helper.
DataSetHelper
Computes the prior from the training set
confusionMatrix(Hashtable, int, String)
- Method in class relational.evaluation.
EvaluationMethods
confusionMatrixInst(Hashtable, int)
- Method in class relational.evaluation.
EvaluationMethods
countNeighborsClassesMultiLabelTest(FastVector, int, HashMap, HashMap, HashMap)
- Static method in class relational.helper.
DataSetHelper
Counts the frequency (weighted by their probabilities) of the classes of neighbors in the test set (for binary classification)
countNeighborsClassesMultiLabelTest(FastVector, int, HashMap, HashMap, HashMap)
- Method in class relational.types.
BipartGraph
Counts the frequency of the categories of neighbors of an instance (for binary classification)
countNeighborsClassesMultiLabelTrain(FastVector, HashMap, HashMap, HashMap, int)
- Static method in class relational.helper.
DataSetHelper
Counts the frequency of the classes of neighbors in the train set (for binary classification)
countNeighborsClassesMultiLabelTrain(FastVector, HashMap, HashMap, HashMap)
- Method in class relational.types.
BipartGraph
Counts the frequency of the categories of neighbors of an instance (for binary classification)
countNeighborsClassesTest(FastVector, HashMap, HashMap, HashMap, int)
- Static method in class relational.helper.
DataSetHelper
Counts the frequency (weighted by their probabilities) of the classes of neighbors in the test set
countNeighborsClassesTest(FastVector, HashMap, HashMap, HashMap)
- Method in class relational.types.
BipartGraph
Counts the frequency of the categories of neighbors of an instance
countNeighborsClassesTrain(FastVector, HashMap, HashMap, HashMap, int)
- Static method in class relational.helper.
DataSetHelper
Counts the frequency of the classes of neighbors in the train set
countNeighborsClassesTrain(FastVector, HashMap, HashMap, HashMap)
- Method in class relational.types.
BipartGraph
Counts the frequency of the categories of neighbors of an instance
cut
- Variable in class relational.evaluation.
EvaluationMethods
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