A B C D E F G H I J K L M N O P R S T U V W

A

AbstractDistanceBasedBuilder - Class in net.sf.myra.datamining.data
 
AbstractDistanceBasedBuilder(Metadata) - Constructor for class net.sf.myra.datamining.data.AbstractDistanceBasedBuilder
Default constructor.
AbstractDistanceBasedBuilder.Candidate - Class in net.sf.myra.datamining.data
Struct-like class to represent the label information of an instance.
AbstractDistanceBasedBuilder.Candidate() - Constructor for class net.sf.myra.datamining.data.AbstractDistanceBasedBuilder.Candidate
 
AbstractEntropyBasedBuilder - Class in net.sf.myra.datamining.data
 
AbstractEntropyBasedBuilder(Metadata) - Constructor for class net.sf.myra.datamining.data.AbstractEntropyBasedBuilder
Default constructor.
AbstractObjectiveFunction - Class in net.sf.myra.datamining
This class provides a skeletal implementation of the ObjectiveFunction interface.
AbstractObjectiveFunction(Dataset) - Constructor for class net.sf.myra.datamining.AbstractObjectiveFunction
Creates a new AbstractObjectiveFunction instance.
AbstractPruner - Class in net.sf.myra.datamining
This class provides a skeletal implementation of a rule prune procedure based on the LocalSearch interface.
AbstractPruner(AbstractObjectiveFunction, ClassAssignator) - Constructor for class net.sf.myra.datamining.AbstractPruner
Default constructor.
AbstractRuleModel - Class in net.sf.myra.datamining.model
Base class for (flat) rule models.
AbstractRuleModel(Collection<Rule>) - Constructor for class net.sf.myra.datamining.model.AbstractRuleModel
Default constructor.
AbstractRuleModel.DefaultGatherer - Class in net.sf.myra.datamining.model
 
AbstractRuleModel.DefaultGatherer() - Constructor for class net.sf.myra.datamining.model.AbstractRuleModel.DefaultGatherer
 
AccuracyFunction - Class in net.sf.myra.datamining.function
 
AccuracyFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.AccuracyFunction
Default constructor.
AccuracyMeasure - Class in net.sf.myra.datamining.measure
This class represents the accuracy measure.
AccuracyMeasure() - Constructor for class net.sf.myra.datamining.measure.AccuracyMeasure
 
ACDTRunner - Class in net.sf.myra.datamining.util
 
ACDTRunner() - Constructor for class net.sf.myra.datamining.util.ACDTRunner
 
active(int) - Method in class net.sf.myra.datamining.data.Label
Returns true is the specified class label index is active.
active(String) - Method in class net.sf.myra.datamining.data.Label
Returns true is the specified class label is active.
add(ConfusionMatrix) - Method in class net.sf.myra.datamining.ConfusionMatrix
Adds the values from the specified confusion matrix.
add(int, double) - Method in class net.sf.myra.datamining.ConfusionMatrix
Adds the value to the specified cell.
add(String) - Method in class net.sf.myra.datamining.data.ClassHierarchy
Adds a new node to the class hierarchy.
add(String, String) - Method in class net.sf.myra.datamining.data.ClassHierarchy
Adds a new node to the class hierarchy as a child of the specified parent node.
add(String[]) - Method in class net.sf.myra.datamining.data.Dataset
Adds a new instance to the dataset.
add(Attribute) - Method in class net.sf.myra.datamining.data.Metadata
Adds an attribute.
add(String) - Method in class net.sf.myra.datamining.data.NominalAttribute
Adds a value to the attrube domain.
add(Model) - Method in interface net.sf.myra.datamining.Gatherer
 
add(Rule) - Method in class net.sf.myra.datamining.model.AbstractRuleModel
 
add(Model) - Method in class net.sf.myra.datamining.model.AbstractRuleModel.DefaultGatherer
 
add(Vertex<?>) - Method in class net.sf.myra.datamining.ProbabilisticSequentialRule
 
add(Vertex<?>) - Method in class net.sf.myra.datamining.Rule
 
add(Vertex<?>) - Method in class net.sf.myra.datamining.SequentialRule
 
add(Point) - Method in class net.sf.myra.datamining.statistics.Curve
Adds the specified point to this curve.
add(double, double) - Method in class net.sf.myra.datamining.statistics.Curve
Adds a point with the specified (x,y) coordinates to this curve.
add(C45Disc.Condition) - Method in class net.sf.myra.datamining.util.C45Disc.Rule
 
add(Instance) - Method in class net.sf.myra.datamining.util.FlatCrossValidation.Partition
Adds the specified instance to this partition.
add(RuleParser.Condition) - Method in class net.sf.myra.datamining.util.RuleParser.Rule
 
addListener(PropertyChangeListener) - Method in class net.sf.myra.datamining.statistics.Parser
Adds a listener to this parser.
append(StringBuffer, Properties) - Method in class net.sf.myra.datamining.Main
Appends the specified options to the output buffer.
area() - Method in class net.sf.myra.datamining.statistics.Curve
Returns the estimated area under this curve.
ArffHelper - Class in net.sf.myra.datamining.io
Helper class to manipulate files in ARFF (Weka) format.
ArffHelper() - Constructor for class net.sf.myra.datamining.io.ArffHelper
No instances allowed (private constructor).
ArffHelper.UnsupportedAttribute - Class in net.sf.myra.datamining.io
This class represents an unsupported attribute (e.g.
ArffHelper.UnsupportedAttribute(String) - Constructor for class net.sf.myra.datamining.io.ArffHelper.UnsupportedAttribute
Default constructor.
assign(Rule, Dataset) - Method in interface net.sf.myra.datamining.ClassAssignator
Assigns the class value to the specified rule.
assign(Rule, Dataset) - Method in class net.sf.myra.datamining.ClassFrequencyAssignator
 
assign(ProbabilisticRule, Dataset) - Method in class net.sf.myra.datamining.ClassFrequencyAssignator
Assigns the class probability array to the specified rule.
assign(Rule, Dataset) - Method in class net.sf.myra.datamining.CoveredClassAssignator
Assigns all class labels of the covered examples to the rule consequent.
assign(Rule, Dataset) - Method in class net.sf.myra.datamining.FixedClassAssignator
Assigns the default class value to the rule.
assign(Rule, Dataset) - Method in class net.sf.myra.datamining.MajorityClassAssignator
Assigns the rule's class value based on the majority class of the covered examples by the rule.
assign(Rule, Dataset) - Method in class net.sf.myra.datamining.NoClassAssignator
 
ASSIGNATOR - Static variable in class net.sf.myra.datamining.seco.SeCo
The property key under which the class assignator name is stored.
Attribute - Class in net.sf.myra.datamining.data
This class represents an attribute of the dataset.
Attribute(String) - Constructor for class net.sf.myra.datamining.data.Attribute
Creates a new Attribute instance.
average(double, double) - Method in class net.sf.myra.datamining.data.AbstractEntropyBasedBuilder
 
average(Unit<?>[]) - Method in class net.sf.myra.datamining.UnitAveragingMode
Returns a String which corresponds to the average values of the specified units.
AVERAGE_CURVE - Static variable in class net.sf.myra.datamining.statistics.Information
The key for the avereaged curve.
averageConfidenceSet(Dataset, ArrayList<Rule>) - Static method in class net.sf.myra.datamining.util.RuleParser
 
averaged() - Method in class net.sf.myra.datamining.measure.hierarchical.PRCurveMeasure.CurveArea
 
AveragedPRCurveMeasure - Class in net.sf.myra.datamining.measure.hierarchical
 
AveragedPRCurveMeasure() - Constructor for class net.sf.myra.datamining.measure.hierarchical.AveragedPRCurveMeasure
 
averageFrequencySet(Dataset, ArrayList<Rule>) - Static method in class net.sf.myra.datamining.util.RuleParser
 
averageOrderedList(Dataset, ArrayList<Rule>) - Static method in class net.sf.myra.datamining.util.RuleParser
 

B

BacktrackPruner - Class in net.sf.myra.datamining
This class represents a prune procedure which removes the last term of the rule until the rule quality improves.
BacktrackPruner(AbstractObjectiveFunction, ClassAssignator) - Constructor for class net.sf.myra.datamining.BacktrackPruner
 
belongs(String) - Method in class net.sf.myra.datamining.data.Instance
Checks if the instance has the specified class label.
BETA - Static variable in class net.sf.myra.datamining.function.FmeasureFunction
 
BETA - Static variable in class net.sf.myra.datamining.function.hierarchical.hFmeasure
 
BETA - Static variable in class net.sf.myra.datamining.measure.MicroAveragedFMeasure
 
BUILDER - Static variable in class net.sf.myra.datamining.data.IntervalBuilder
The property key under which the interval builder class name is stored.
BULK_SIZE - Static variable in class net.sf.myra.datamining.Main
The property key under which the bulk value is stored.

C

C - Static variable in class net.sf.myra.datamining.function.CostMeasureFunction
 
C - Static variable in class net.sf.myra.datamining.function.MEstimateFunction
The property key under which the estimated number of covered examples of a rule value is stored.
C45Disc - Class in net.sf.myra.datamining.util
This class represents the C45Disc discretization procedure.
C45Disc() - Constructor for class net.sf.myra.datamining.util.C45Disc
 
C45Disc.Rule - Class in net.sf.myra.datamining.util
This class represents a discretization rule.
C45Disc.Rule() - Constructor for class net.sf.myra.datamining.util.C45Disc.Rule
 
C45Disc.RuleParser - Class in net.sf.myra.datamining.util
Discretization rule parser.
C45Disc.RuleParser() - Constructor for class net.sf.myra.datamining.util.C45Disc.RuleParser
 
C45Helper - Class in net.sf.myra.datamining.io
Helper class to manipulate files in C4.5 format.
C45Helper() - Constructor for class net.sf.myra.datamining.io.C45Helper
No instances allowed (private constructor).
C45RulesRunner - Class in net.sf.myra.datamining.util
 
C45RulesRunner() - Constructor for class net.sf.myra.datamining.util.C45RulesRunner
 
cardinality() - Method in class net.sf.myra.datamining.data.Label
Returns the number of class labels present in this Label instance.
CLASS_LABEL - Static variable in class net.sf.myra.datamining.statistics.Parser
Property name for the event of loading a class label.
CLASS_SEPARATOR - Static variable in class net.sf.myra.datamining.data.Dataset
Default class separator for multi-label class value.
ClassAssignator - Interface in net.sf.myra.datamining
This interface represents the mechanism of assigning the predicted class of a rule.
ClassFrequencyAssignator - Class in net.sf.myra.datamining
 
ClassFrequencyAssignator() - Constructor for class net.sf.myra.datamining.ClassFrequencyAssignator
 
ClassFrequencyExporter - Class in net.sf.myra.datamining.io
 
ClassFrequencyExporter() - Constructor for class net.sf.myra.datamining.io.ClassFrequencyExporter
 
ClassHierarchy - Class in net.sf.myra.datamining.data
This class represents a class hierarchy.
ClassHierarchy() - Constructor for class net.sf.myra.datamining.data.ClassHierarchy
 
Classifier - Class in net.sf.myra.datamining
This class defines a skeletal implementation of a classifier algorithm.
Classifier(String) - Constructor for class net.sf.myra.datamining.Classifier
Default constructor.
CLASSIFIER - Static variable in class net.sf.myra.datamining.Main
The property key under which the classifier class name is stored.
classify(Instance) - Method in interface net.sf.myra.datamining.Model
Classifies the secified instance.
classify(Instance) - Method in class net.sf.myra.datamining.model.ProbabilisticRuleModel
 
classify(Instance) - Method in class net.sf.myra.datamining.model.RuleList
 
classify(Instance) - Method in class net.sf.myra.datamining.model.RuleSet
 
clone() - Method in interface net.sf.myra.datamining.ConfidenceFactor
 
clone() - Method in class net.sf.myra.datamining.ConfusionMatrix
 
clone() - Method in class net.sf.myra.datamining.data.Attribute
 
clone() - Method in class net.sf.myra.datamining.data.ClassHierarchy
 
clone() - Method in class net.sf.myra.datamining.data.ContinuousAttribute
 
clone() - Method in class net.sf.myra.datamining.data.Dataset
 
clone() - Method in class net.sf.myra.datamining.data.IntervalBuilder.Interval
 
clone() - Method in class net.sf.myra.datamining.data.Metadata
 
clone() - Method in class net.sf.myra.datamining.data.NominalAttribute
 
clone() - Method in class net.sf.myra.datamining.data.Term
 
clone() - Method in class net.sf.myra.datamining.DefaultConfidenceFactor
 
clone() - Method in class net.sf.myra.datamining.NumericConfidenceFactor
 
clone() - Method in class net.sf.myra.datamining.ProbabilisticRule
 
clone() - Method in class net.sf.myra.datamining.ProbabilisticSequentialRule
 
clone() - Method in class net.sf.myra.datamining.Rule
 
clone() - Method in class net.sf.myra.datamining.SequentialRule
 
close() - Method in class net.sf.myra.datamining.io.Exporter
Closes the output file.
close() - Method in class net.sf.myra.datamining.io.HierarchicalExporter
Closes the output file.
CN2Helper - Class in net.sf.myra.datamining.io
 
CN2Helper() - Constructor for class net.sf.myra.datamining.io.CN2Helper
 
CN2Runner - Class in net.sf.myra.datamining.util
 
CN2Runner() - Constructor for class net.sf.myra.datamining.util.CN2Runner
 
compare(Unit<?>, Unit<?>) - Method in class net.sf.myra.datamining.UnitAveragingMode
 
compareTo(AbstractDistanceBasedBuilder.Candidate) - Method in class net.sf.myra.datamining.data.AbstractDistanceBasedBuilder.Candidate
 
compareTo(Attribute) - Method in class net.sf.myra.datamining.data.Attribute
 
compareTo(IntervalBuilder.CutPoint) - Method in class net.sf.myra.datamining.data.IntervalBuilder.CutPoint
 
compareTo(Cost) - Method in class net.sf.myra.datamining.DefaultConfidenceFactor
 
compareTo(DefaultConfidenceFactor) - Method in class net.sf.myra.datamining.DefaultConfidenceFactor
 
compareTo(PRCurveMeasure.CurveArea) - Method in class net.sf.myra.datamining.measure.hierarchical.PRCurveMeasure.CurveArea
 
compareTo(ProbabilisticRuleList) - Method in class net.sf.myra.datamining.model.ProbabilisticRuleList
 
compareTo(Unit<V>) - Method in class net.sf.myra.datamining.Unit
 
compareTo(Unit<V>, Unit<V>) - Method in class net.sf.myra.datamining.UnitAveragingMode
Compares the specified unit instances.
computeDomains() - Method in class net.sf.myra.datamining.data.Dataset
Computes the continuous attributes' domain values.
CONFIDENCE_LEVEL - Static variable in class net.sf.myra.datamining.ErrorBasedMetric
The property key under which the reduced-error confidence level is stored.
ConfidenceCoverageFunction - Class in net.sf.myra.datamining.function
This class implements the confidence + coverage rule evaluation function.
ConfidenceCoverageFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.ConfidenceCoverageFunction
Creates a new ConfidenceCoverageFunction instance.
ConfidenceEvaluator - Class in net.sf.myra.datamining
This class represents a daemon action responsible to evaluate the confidence factor of the rules discovered by ants in the current iteration.
ConfidenceEvaluator(Dataset) - Constructor for class net.sf.myra.datamining.ConfidenceEvaluator
Default constructor.
ConfidenceExporter - Class in net.sf.myra.datamining.io
 
ConfidenceExporter() - Constructor for class net.sf.myra.datamining.io.ConfidenceExporter
 
ConfidenceFactor - Interface in net.sf.myra.datamining
 
ConfusionMatrix - Class in net.sf.myra.datamining
This class represents a confusion matrix implementation.
ConfusionMatrix() - Constructor for class net.sf.myra.datamining.ConfusionMatrix
Default constructor.
ConfusionMatrix(double, double, double, double) - Constructor for class net.sf.myra.datamining.ConfusionMatrix
Creates a new ConfusionMatrix instance.
contains(String) - Method in class net.sf.myra.datamining.data.ClassHierarchy
Tests if the hierarchy contains a node with the specified label.
contains(Attribute, String) - Method in class net.sf.myra.datamining.data.Dataset
Checks if the dataset contains an instance with the (attribute,value) pair.
contains(String) - Method in class net.sf.myra.datamining.data.DistanceContent
Returns true if the specified label corresponds to a term.
contains(String) - Method in class net.sf.myra.datamining.data.EntropyContent
Returns true if the specified label corresponds to a term.
contains(Label) - Method in class net.sf.myra.datamining.data.Label
Returns true if this label contains all values of the specified label.
contains(String) - Method in class net.sf.myra.datamining.data.Metadata
Returns true if this metadata instance contains an attribute with the specified name.
ContinuousAttribute - Class in net.sf.myra.datamining.data
This class represents a continuous attribute.
ContinuousAttribute(String) - Constructor for class net.sf.myra.datamining.data.ContinuousAttribute
Creates a new ContinuousAttribute instance.
CONVERGENCE_TEST_SIZE - Static variable in class net.sf.myra.datamining.ConvergenceTest
The property key under which the convergence test size value is stored.
ConvergenceTest - Class in net.sf.myra.datamining
This class represents the convergence stop condition.
ConvergenceTest() - Constructor for class net.sf.myra.datamining.ConvergenceTest
Creates a new ConvergenceTest instance.
ConvergenceTest(int) - Constructor for class net.sf.myra.datamining.ConvergenceTest
Creates a new ConvergenceTest instance.
convert(Metadata) - Method in class net.sf.myra.datamining.util.RuleParser.Rule
 
CorrectnessRateMeasure - Class in net.sf.myra.datamining.measure
 
CorrectnessRateMeasure() - Constructor for class net.sf.myra.datamining.measure.CorrectnessRateMeasure
 
CostMeasureFunction - Class in net.sf.myra.datamining.function
 
CostMeasureFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.CostMeasureFunction
Default constructor.
CostMeasureFunction(Dataset, double) - Constructor for class net.sf.myra.datamining.function.CostMeasureFunction
Construction with parameter.
count(List<Instance>, ContinuousAttribute) - Method in class net.sf.myra.datamining.data.AbstractDistanceBasedBuilder
 
count(AbstractDistanceBasedBuilder.Candidate[], int, int) - Method in class net.sf.myra.datamining.data.AbstractDistanceBasedBuilder
Returns the number of different class labels present in the specified distribution.
count(List<Instance>, ContinuousAttribute) - Method in class net.sf.myra.datamining.data.AbstractEntropyBasedBuilder
 
count() - Method in class net.sf.myra.datamining.data.Dataset
Returns the class count vector.
count(List<Instance>, ContinuousAttribute) - Method in class net.sf.myra.datamining.data.FunctionBasedBuilder
 
count(List<Instance>, ContinuousAttribute) - Method in class net.sf.myra.datamining.data.IntervalBuilder
Returns the number of candidate threshold values.
count(double[][], int) - Static method in class net.sf.myra.datamining.statistics.CurveFactory
Returns the number of occurences of the specified class value.
countTerms(Collection<Rule>) - Method in class net.sf.myra.datamining.model.AbstractRuleModel.DefaultGatherer
Returns the number of term of the discovered rule set.
CoveredClassAssignator - Class in net.sf.myra.datamining
 
CoveredClassAssignator() - Constructor for class net.sf.myra.datamining.CoveredClassAssignator
 
Cr - Static variable in class net.sf.myra.datamining.function.RelativeCostMeasureFunction
 
create(List<Instance>, ContinuousAttribute) - Method in class net.sf.myra.datamining.data.AbstractDistanceBasedBuilder
 
create(AbstractDistanceBasedBuilder.Candidate[], boolean) - Method in class net.sf.myra.datamining.data.AbstractDistanceBasedBuilder
Returns candidate cut point(s) given the data distribution.
create(List<Instance>, ContinuousAttribute) - Method in class net.sf.myra.datamining.data.AbstractEntropyBasedBuilder
 
create(double[][], int) - Method in class net.sf.myra.datamining.data.AbstractEntropyBasedBuilder
Returns candidate cut point(s) given the data distribution.
create(double[][], int, boolean) - Method in class net.sf.myra.datamining.data.AbstractEntropyBasedBuilder
Returns candidate cut point(s) given the data distribution.
create(AbstractDistanceBasedBuilder.Candidate[], boolean) - Method in class net.sf.myra.datamining.data.DistanceIntervalBuilder
 
create(double[][], int, boolean) - Method in class net.sf.myra.datamining.data.EntropyIntervalBuilder
 
create(List<Instance>, ContinuousAttribute) - Method in class net.sf.myra.datamining.data.FunctionBasedBuilder
 
create(double[][]) - Method in class net.sf.myra.datamining.data.FunctionBasedBuilder
 
create(List<Instance>, ContinuousAttribute) - Method in class net.sf.myra.datamining.data.IntervalBuilder
Returns the discrete intervals for the specified continuous attribute.
create(AbstractDistanceBasedBuilder.Candidate[], boolean) - Method in class net.sf.myra.datamining.data.MDLDistanceIntervalBuilder
Returns a list of cut points using the MDLPC criterion.
create(double[][], int, boolean) - Method in class net.sf.myra.datamining.data.MDLEntropyIntervalBuilder
Returns a list of cut points using the MDLPC criterion.
create(double[][]) - Method in class net.sf.myra.datamining.statistics.CurveFactory
Returns a curve based on the specified (predicted,class) values.
create(double[][]) - Method in class net.sf.myra.datamining.statistics.CurveFactory.PRCurveFactory
Returns a precision-recall curve based on the specified (predicted,class) values distribution.
create(double[][], double[]) - Method in class net.sf.myra.datamining.statistics.CurveFactory.PRCurveFactory
Returns a precision-recall curve based on the specified (predicted,class) values distribution.
create(double[][]) - Method in class net.sf.myra.datamining.statistics.CurveFactory.ROCCurveFactory
 
createSingle(List<Instance>, ContinuousAttribute) - Method in class net.sf.myra.datamining.data.AbstractDistanceBasedBuilder
 
createSingle(List<Instance>, ContinuousAttribute, String) - Method in class net.sf.myra.datamining.data.AbstractDistanceBasedBuilder
 
createSingle(List<Instance>, ContinuousAttribute) - Method in class net.sf.myra.datamining.data.AbstractEntropyBasedBuilder
Returns an interval for the specified continuous attribute tailored for the specified instance.
createSingle(List<Instance>, ContinuousAttribute, String) - Method in class net.sf.myra.datamining.data.AbstractEntropyBasedBuilder
Returns a discrete interval for the specified continuous attribute tailored for the specified instances and class value.
createSingle(List<Instance>, ContinuousAttribute) - Method in class net.sf.myra.datamining.data.FunctionBasedBuilder
 
createSingle(List<Instance>, ContinuousAttribute, String) - Method in class net.sf.myra.datamining.data.FunctionBasedBuilder
 
createSingle(List<Instance>, ContinuousAttribute) - Method in class net.sf.myra.datamining.data.IntervalBuilder
Returns an interval for the specified continuous attribute tailored for the specified instances.
createSingle(List<Instance>, ContinuousAttribute, String) - Method in class net.sf.myra.datamining.data.IntervalBuilder
Returns a discrete interval for the specified continuous attribute tailored for the specified instances and class value.
CROSS_VALIDATION_FOLDS - Static variable in class net.sf.myra.datamining.Main
The property key under which the cross validation folds value is stored.
Curve - Class in net.sf.myra.datamining.statistics
 
Curve() - Constructor for class net.sf.myra.datamining.statistics.Curve
Default constructor.
CurveExporter - Class in net.sf.myra.datamining.statistics
Utility to export the coordinates of the PR curve given a predictions file.
CurveExporter() - Constructor for class net.sf.myra.datamining.statistics.CurveExporter
 
CurveFactory - Class in net.sf.myra.datamining.statistics
 
CurveFactory() - Constructor for class net.sf.myra.datamining.statistics.CurveFactory
 
CurveFactory.PRCurveFactory - Class in net.sf.myra.datamining.statistics
This class represents the Precision-Recall curve factory.
CurveFactory.PRCurveFactory() - Constructor for class net.sf.myra.datamining.statistics.CurveFactory.PRCurveFactory
 
CurveFactory.ROCCurveFactory - Class in net.sf.myra.datamining.statistics
This class represents the Precision-Recall curve factory.
CurveFactory.ROCCurveFactory() - Constructor for class net.sf.myra.datamining.statistics.CurveFactory.ROCCurveFactory
 

D

Dataset - Class in net.sf.myra.datamining.data
This class represents a dataset.
Dataset(Metadata) - Constructor for class net.sf.myra.datamining.data.Dataset
Creates a new Dataset instance.
DEFAULT_BUILDER - Static variable in class net.sf.myra.datamining.data.IntervalBuilder
Default interval builder (entropy).
DEFAULT_CONVERGENCE_TEST_SIZE - Static variable in class net.sf.myra.datamining.ConvergenceTest
The default convergence test size.
DEFAULT_MAXIMUM_ITERATIONS - Static variable in class net.sf.myra.datamining.IterationTest
The default number of iterations.
DEFAULT_MAXIMUM_UNCOVERED_CASES - Static variable in class net.sf.myra.datamining.Classifier
The default maximum number of uncovered cases.
DEFAULT_TYPE - Static variable in class net.sf.myra.datamining.data.Strategy
 
DEFAULT_WEIGHT - Static variable in class net.sf.myra.datamining.data.Instance
The default weight of an instance.
DefaultConfidenceFactor - Class in net.sf.myra.datamining
This class represents the confidence factor measure.
DefaultConfidenceFactor(Map<String, Integer>) - Constructor for class net.sf.myra.datamining.DefaultConfidenceFactor
 
Diff - Class in net.sf.myra.datamining.statistics
Utility class to print the difference between two predictions file in terms of the area under the curve of individual classes.
Diff() - Constructor for class net.sf.myra.datamining.statistics.Diff
 
discretize(Dataset) - Static method in class net.sf.myra.datamining.util.C45Disc
Discretizes the specified dataset.
discretize(Dataset, Dataset) - Static method in class net.sf.myra.datamining.util.C45Disc
Discretizes the specified training and test datasets.
DistanceContent - Class in net.sf.myra.datamining.data
This class provides the distance information content for a Dataset instance.
DistanceContent(Dataset) - Constructor for class net.sf.myra.datamining.data.DistanceContent
Default constructor.
DistanceHeuristicInformation - Class in net.sf.myra.datamining.data
 
DistanceHeuristicInformation(Dataset) - Constructor for class net.sf.myra.datamining.data.DistanceHeuristicInformation
Default constructor.
DistanceIntervalBuilder - Class in net.sf.myra.datamining.data
 
DistanceIntervalBuilder(Metadata) - Constructor for class net.sf.myra.datamining.data.DistanceIntervalBuilder
Default constructor.
diversity(double[][], int, int, int) - Method in class net.sf.myra.datamining.data.AbstractEntropyBasedBuilder
Returns the number of classes (diversity) in the specified range of examples.
domain() - Method in class net.sf.myra.datamining.data.ContinuousAttribute
Returns the domain values of this attribute.
domain(Dataset) - Method in class net.sf.myra.datamining.data.ContinuousAttribute
Populates the domain values of this attribute.
doubleValue() - Method in class net.sf.myra.datamining.Unit
 
doubleValue() - Method in interface net.sf.myra.datamining.Unit.DoubleValued
Returns the double representation of the value.

E

ENABLED - Static variable in class net.sf.myra.datamining.statistics.Parser
Flag to indicate that the attribute is enabled.
entropy(double[][], int, int, int) - Method in class net.sf.myra.datamining.data.AbstractEntropyBasedBuilder
Returns the entropy of the specified range of examples.
entropy(List<Instance>) - Method in class net.sf.myra.datamining.data.ContinuousAttribute
Returns the (expected) entropy of this attribute.
entropy(String) - Method in class net.sf.myra.datamining.data.EntropyContent
Returns the entropy associated with the term specified by the label.
EntropyContent - Class in net.sf.myra.datamining.data
This class provides the entropy information content for a Dataset instance.
EntropyContent(Dataset) - Constructor for class net.sf.myra.datamining.data.EntropyContent
 
EntropyHeuristicInformation - Class in net.sf.myra.datamining.data
 
EntropyHeuristicInformation(Dataset) - Constructor for class net.sf.myra.datamining.data.EntropyHeuristicInformation
Default constructor.
EntropyIntervalBuilder - Class in net.sf.myra.datamining.data
Entropy interval builder.
EntropyIntervalBuilder(Metadata) - Constructor for class net.sf.myra.datamining.data.EntropyIntervalBuilder
Default constructor.
equals(Object) - Method in class net.sf.myra.datamining.data.Attribute
 
equals(Attribute) - Method in class net.sf.myra.datamining.data.Attribute
 
equals(Object) - Method in class net.sf.myra.datamining.data.Instance
 
equals(Instance) - Method in class net.sf.myra.datamining.data.Instance
Compares the specified instance with this instance for equality.
equals(Object) - Method in class net.sf.myra.datamining.data.Label
 
equals(Label) - Method in class net.sf.myra.datamining.data.Label
Indicates whether the specified Label instance is equal to this one.
equals(Object) - Method in class net.sf.myra.datamining.data.Metadata
 
equals(Metadata) - Method in class net.sf.myra.datamining.data.Metadata
Compares the specified metadata object with this object for equality.
equals(Object) - Method in class net.sf.myra.datamining.data.Node
 
equals(Attribute) - Method in class net.sf.myra.datamining.data.NominalAttribute
 
equals(NominalAttribute) - Method in class net.sf.myra.datamining.data.NominalAttribute
 
equals(Object) - Method in class net.sf.myra.datamining.data.Term
 
equals(Term) - Method in class net.sf.myra.datamining.data.Term
Compares this term against the specified term for equality.
equals(Object) - Method in class net.sf.myra.datamining.ProbabilisticRule
 
equals(Object) - Method in class net.sf.myra.datamining.ProbabilisticSequentialRule
 
equals(Object) - Method in class net.sf.myra.datamining.Rule
 
equals(Object) - Method in class net.sf.myra.datamining.SequentialRule
 
ErrorBasedFunction - Class in net.sf.myra.datamining.function
This class represents a objective function based on the pressimistic error rate used by C4.5 algorithm.
ErrorBasedFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.ErrorBasedFunction
Default constructor.
ErrorBasedMeasure - Class in net.sf.myra.datamining.measure
 
ErrorBasedMeasure() - Constructor for class net.sf.myra.datamining.measure.ErrorBasedMeasure
 
ErrorBasedMetric - Class in net.sf.myra.datamining
This class provides the error estimation based on the metric used by C4.5.
ErrorBasedPruner - Class in net.sf.myra.datamining
This class implements an error based pruning procedure based on the metric used by C4.5.
ErrorBasedPruner(AbstractObjectiveFunction, ClassAssignator) - Constructor for class net.sf.myra.datamining.ErrorBasedPruner
Creates a new ReducedErrorPruner instance.
errors(double, double) - Static method in class net.sf.myra.datamining.ErrorBasedMetric
Returns the number of predicted errors.
estimate(double, double) - Static method in class net.sf.myra.datamining.ErrorBasedMetric
Returns the estimate error rate value based on the upper confidence level.
evaluate(double, double...) - Method in enum net.sf.myra.datamining.data.Operator
Verifies if the condition represented by this operatos is satisfied by the specified values.
evaluate(Trail) - Method in class net.sf.myra.datamining.function.AccuracyFunction
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.ConfidenceCoverageFunction
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.CostMeasureFunction
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.ErrorBasedFunction
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.FmeasureFunction
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.hierarchical.hFmeasure
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.hierarchical.hJaccard
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.hierarchical.hLocalErrorBasedFunction
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.hierarchical.hLocalJaccard
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.hierarchical.PooledPRCurveFunction
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.hierarchical.VarianceFunction
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.hierarchical.VarianceGainFunction
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.JaccardFunction
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.KlosgenFunction
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.LaplaceFunction
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.MEstimateFunction
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.RelativeCostMeasureFunction
 
evaluate(Trail) - Method in class net.sf.myra.datamining.function.SensitivitySpecificityFunction
 
evaluate(Dataset, Model) - Method in class net.sf.myra.datamining.measure.AccuracyMeasure
 
evaluate(Dataset, Model) - Method in class net.sf.myra.datamining.measure.CorrectnessRateMeasure
 
evaluate(Dataset, Model) - Method in class net.sf.myra.datamining.measure.ErrorBasedMeasure
 
evaluate(Dataset, Model) - Method in interface net.sf.myra.datamining.Measure
Evaluates the specified model.
evaluate(Dataset, Model) - Method in class net.sf.myra.datamining.measure.hierarchical.AveragedPRCurveMeasure
 
evaluate(Dataset, ProbabilisticRuleModel) - Method in class net.sf.myra.datamining.measure.hierarchical.AveragedPRCurveMeasure
 
evaluate(Dataset, Model) - Method in class net.sf.myra.datamining.measure.hierarchical.hFmeasureMeasure
 
evaluate(Dataset, Model) - Method in class net.sf.myra.datamining.measure.hierarchical.LevelMeasure
 
evaluate(Dataset, Model) - Method in class net.sf.myra.datamining.measure.hierarchical.PooledPRCurveMeasure
 
evaluate(Dataset, ProbabilisticRuleModel) - Method in class net.sf.myra.datamining.measure.hierarchical.PooledPRCurveMeasure
 
evaluate(Dataset, Model) - Method in class net.sf.myra.datamining.measure.hierarchical.PRCurveMeasure
 
evaluate(Dataset, ProbabilisticRuleModel) - Method in class net.sf.myra.datamining.measure.hierarchical.PRCurveMeasure
 
evaluate(Dataset, Model) - Method in class net.sf.myra.datamining.measure.hierarchical.VarianceGainMeasure
 
evaluate(Dataset, Model) - Method in class net.sf.myra.datamining.measure.hierarchical.VarianceMeasure
 
evaluate(Dataset, Model) - Method in class net.sf.myra.datamining.measure.hierarchical.WeightedPRCurveMeasure
 
evaluate(Dataset, ProbabilisticRuleModel) - Method in class net.sf.myra.datamining.measure.hierarchical.WeightedPRCurveMeasure
 
evaluate(Dataset, Model) - Method in class net.sf.myra.datamining.measure.InverseMacroWeightedFMeasure
 
evaluate(Dataset, Model) - Method in class net.sf.myra.datamining.measure.MacroAveragedFMeasure
 
evaluate(Dataset, Model) - Method in class net.sf.myra.datamining.measure.MacroWeightedFMeasure
 
evaluate(Dataset, Model) - Method in class net.sf.myra.datamining.measure.MicroAveragedFMeasure
 
Evaluator - Class in net.sf.myra.datamining
Utility class to evaluate rules discovered by ants.
EvaluatorHelper - Class in net.sf.myra.datamining.util
 
EvaluatorHelper() - Constructor for class net.sf.myra.datamining.util.EvaluatorHelper
 
expand(Label) - Method in class net.sf.myra.datamining.data.Metadata
Expands the specified class label to include all ancestor class labels according to the class hierarchy.
explore(Trail) - Method in class net.sf.myra.datamining.BacktrackPruner
 
explore(Trail) - Method in class net.sf.myra.datamining.ErrorBasedPruner
 
explore(Trail) - Method in class net.sf.myra.datamining.HierarchicalPruner
 
explore(Trail) - Method in class net.sf.myra.datamining.Pruner
 
explore(Trail) - Method in class net.sf.myra.datamining.ReversePruner
 
export(Instance, Label) - Method in class net.sf.myra.datamining.io.Exporter
Writes the instance informations.
export(Instance, Label) - Method in class net.sf.myra.datamining.io.HierarchicalExporter
Writes the instance informations.
export(Instance, double[]) - Method in class net.sf.myra.datamining.io.ProbabilisticExporter
Writes the instance informations.
export(Dataset, int, File, FlatCrossValidation.Mode, Helper) - Static method in class net.sf.myra.datamining.util.FlatCrossValidation
Exports the dataset into folds partitions.
export(Dataset, File, Helper, int, boolean) - Static method in class net.sf.myra.datamining.util.HierarchicalCrossValidation
Exports the dataset into folds partitions.
export(Dataset, File, Helper, int) - Static method in class net.sf.myra.datamining.util.HierarchicalCrossValidation
Exports the dataset into training, validation and test set.
Exporter - Class in net.sf.myra.datamining.io
This class is used to output the individual predictions of each test instance.
Exporter() - Constructor for class net.sf.myra.datamining.io.Exporter
 
EXPORTER - Static variable in class net.sf.myra.datamining.Main
The property key under which the exporter implementation class name is stored.
Exporter - Class in net.sf.myra.datamining.statistics
This class exports the precision and recall values for each class.
Exporter() - Constructor for class net.sf.myra.datamining.statistics.Exporter
 
EXPORTER_FILE - Static variable in class net.sf.myra.datamining.Main
The property key under which the exporter output file name is stored.
ExtendedArffHelper - Class in net.sf.myra.datamining.io
 
ExtendedArffHelper() - Constructor for class net.sf.myra.datamining.io.ExtendedArffHelper
 

F

FACTOR - Static variable in class net.sf.myra.datamining.UsefulnessHelper
 
filter(Properties) - Method in class net.sf.myra.datamining.Classifier
Filters the specified properties.
filter(String...) - Method in class net.sf.myra.datamining.data.Dataset
Returns the list of instances that belongs to any of the specified class labels.
filter(List<Instance>, Term) - Static method in class net.sf.myra.datamining.Evaluator
Filters the specified list of instances according to the test represented by the term.
filter(Properties) - Method in class net.sf.myra.datamining.seco.SeCo
 
FilterNonLeafPredictions - Class in net.sf.myra.datamining.util
 
FilterNonLeafPredictions() - Constructor for class net.sf.myra.datamining.util.FilterNonLeafPredictions
 
find(String) - Method in class net.sf.myra.datamining.data.ClassHierarchy
Returns the node instance with the specified label.
findCorrectCases(Rule, Dataset) - Static method in class net.sf.myra.datamining.Evaluator
Returns the correct covered (the instance class value equals to the specified rule consequent) instances by the specified rule.
findCoveredCases(Rule, Dataset) - Static method in class net.sf.myra.datamining.Evaluator
Returns the covered instances by the specified rule.
findCoveredCases(Rule, List<Instance>) - Static method in class net.sf.myra.datamining.Evaluator
Returns the covered instances by the specified rule.
findIndexedCoveredCases(Rule, Dataset) - Static method in class net.sf.myra.datamining.Evaluator
Returns a set of indexes of the covered instances by the specified rule.
findIndexedCoveredCases(Rule, List<Instance>) - Static method in class net.sf.myra.datamining.Evaluator
Returns a set of indexes of the covered instances by the specified rule.
findMajorityClass(List<Instance>, Metadata) - Static method in class net.sf.myra.datamining.Evaluator
Returns the majority class value among the specified instances.
findMajorityClass(List<Instance>, Metadata, Label) - Static method in class net.sf.myra.datamining.Evaluator
Returns the majority class value among the specified instances.
findMajorityClass(Dataset) - Static method in class net.sf.myra.datamining.Evaluator
Returns the majority class value among the specified dataset.
findMajorityClassValue(List<Instance>, int) - Static method in class net.sf.myra.datamining.Evaluator
Returns the majority class value among the specified instances.
findMajorityClassValue(List<Instance>, int, Label) - Static method in class net.sf.myra.datamining.Evaluator
Returns the majority class value among the specified instances.
findNotCoveredCases(Rule, Dataset) - Static method in class net.sf.myra.datamining.Evaluator
Returns the not covered instances by the specified rule.
findNotCoveredCases(Rule, List<Instance>) - Static method in class net.sf.myra.datamining.Evaluator
Returns the not covered instances by the specified rule.
findPositiveCases(Rule, Dataset) - Static method in class net.sf.myra.datamining.Evaluator
Returns the positive covered (the instance class value contains the specified rule consequent) instances by the specified rule.
FixedClassAssignator - Class in net.sf.myra.datamining
This class represents a fixed value (specified in the constructor) class assignator.
FixedClassAssignator(Label) - Constructor for class net.sf.myra.datamining.FixedClassAssignator
Default constructor.
flags - Variable in class net.sf.myra.datamining.data.AbstractDistanceBasedBuilder.Candidate
 
flags() - Method in class net.sf.myra.datamining.data.Label
Returns the array representation of this label.
flat() - Method in class net.sf.myra.datamining.data.ClassHierarchy
Returns the collection of all nodes labels.
FlatCrossValidation - Class in net.sf.myra.datamining.util
This class represents the cross-validation procedure for flat classification datasets.
FlatCrossValidation() - Constructor for class net.sf.myra.datamining.util.FlatCrossValidation
 
FlatCrossValidation.Mode - Enum in net.sf.myra.datamining.util
Represents the cross-validation mode.
FlatCrossValidation.Partition - Class in net.sf.myra.datamining.util
This class represents a partition (fold) of the cross-validation.
FlatCrossValidation.Partition(int) - Constructor for class net.sf.myra.datamining.util.FlatCrossValidation.Partition
Creates a new partition.
FmeasureFunction - Class in net.sf.myra.datamining.function
 
FmeasureFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.FmeasureFunction
Default constructor.
FmeasureFunction(Dataset, double) - Constructor for class net.sf.myra.datamining.function.FmeasureFunction
Construction with parameter.
FN - Static variable in class net.sf.myra.datamining.ConfusionMatrix
The false negative's index.
FOLD_PREFIX - Static variable in class net.sf.myra.datamining.Main
Default test file name prefix.
FP - Static variable in class net.sf.myra.datamining.ConfusionMatrix
The false positive's index.
FRACTION - Static variable in class net.sf.myra.datamining.util.ValidationHelper
The default size of the validation set (1/10 of the dataset).
frequency() - Method in class net.sf.myra.datamining.data.Dataset
Returns the class frequency vector.
frequency(String) - Method in class net.sf.myra.datamining.data.EntropyContent
Returns the frequency associated with the term specified by the label.
FrequencyExporter - Class in net.sf.myra.datamining.io
 
FrequencyExporter() - Constructor for class net.sf.myra.datamining.io.FrequencyExporter
 
FunctionBasedBuilder - Class in net.sf.myra.datamining.data
Experimental interval builder based on the Laplace function.
FunctionBasedBuilder(Metadata) - Constructor for class net.sf.myra.datamining.data.FunctionBasedBuilder
 

G

gain - Variable in class net.sf.myra.datamining.data.IntervalBuilder.CutPoint
The information gain of the threshold.
Gatherer - Interface in net.sf.myra.datamining
 
get(int) - Method in class net.sf.myra.datamining.ConfusionMatrix
Returns the value of the specified cell.
get(int) - Method in class net.sf.myra.datamining.data.Dataset
Returns the instance specified by the index.
get(int) - Method in class net.sf.myra.datamining.data.Label
Returns the class label name specified by the index.
get(String) - Method in class net.sf.myra.datamining.data.Metadata
Returns the Attribute instance given its name.
get(int) - Method in class net.sf.myra.datamining.data.Metadata
 
get(String) - Static method in class net.sf.myra.datamining.data.Strategy
 
get(String) - Method in class net.sf.myra.datamining.DefaultConfidenceFactor
Returns the number of covered examples for the specified class label.
get(String) - Method in class net.sf.myra.datamining.statistics.Information
Returns the curve for the specified class label.
get(Class<?>) - Static method in class net.sf.myra.datamining.UnitAveragingMode
 
get(String) - Method in class net.sf.myra.datamining.UsefulnessHelper
 
getAccuracy() - Method in class net.sf.myra.datamining.ConfusionMatrix
Returns the accuracy value.
getAncestors() - Method in class net.sf.myra.datamining.data.Node
 
getAntecedent() - Method in class net.sf.myra.datamining.ProbabilisticSequentialRule
 
getAntecedent() - Method in class net.sf.myra.datamining.Rule
Returns the rule antecedent.
getAntecedent() - Method in class net.sf.myra.datamining.SequentialRule
 
getAntecedent() - Method in class net.sf.myra.datamining.util.RuleParser.Rule
 
getAttribute() - Method in class net.sf.myra.datamining.data.Term
Returns the term's attribute name.
getAttribute() - Method in class net.sf.myra.datamining.util.RuleParser.Condition
 
getAttributes() - Method in class net.sf.myra.datamining.data.Metadata
Returns the collection attributes.
getAvailable() - Method in class net.sf.myra.datamining.statistics.Information
Returns the collection of available class labels.
getAverage(Unit<PRCurveMeasure.CurveArea>[]) - Method in class net.sf.myra.datamining.measure.hierarchical.PRCurveMeasure.CurveAreaUnitAveragingMode
 
getAverage() - Method in class net.sf.myra.datamining.statistics.Information
Returns the average area under the PR curve over all classes.
getAverage(Unit<Double>[]) - Method in class net.sf.myra.datamining.UnitAveragingMode.DoubleUnitAveragingMode
 
getAverage(Unit<V>[]) - Method in class net.sf.myra.datamining.UnitAveragingMode
Returns a String which corresponds to the average values of the specified units.
getChild(String) - Method in class net.sf.myra.datamining.data.Node
 
getChildren() - Method in class net.sf.myra.datamining.data.Node
 
getClassAssignator() - Method in class net.sf.myra.datamining.AbstractPruner
Returns the ClassAssignator instance.
getClassHierarchy() - Method in class net.sf.myra.datamining.data.Metadata
 
getClassifier() - Method in class net.sf.myra.datamining.Main
Returns the classifier instance to be used.
getConfidence() - Method in class net.sf.myra.datamining.model.ProbabilisticRuleList
Returns the cost of this rule list.
getConfidence() - Method in class net.sf.myra.datamining.Rule
 
getConfidenceFactor(Rule, Dataset) - Static method in class net.sf.myra.datamining.Evaluator
Returns the confidence factor of the specified rule when used to classify the dataset instances.
getConfusionMatrix(Rule, Dataset) - Static method in class net.sf.myra.datamining.Evaluator
Returns the confusion matrix of the specified rule when used to classify the dataset instances.
getConfusionMatrix(Rule, List<Instance>) - Static method in class net.sf.myra.datamining.Evaluator
Returns the confusion matrix of the specified rule when used to classify the specified instances.
getConfusionMatrix(Rule, List<Instance>, UsefulnessHelper) - Static method in class net.sf.myra.datamining.Evaluator
Returns the confusion matrix of the specified rule when used to classify the specified instances.
getConfusionMatrix(Rule, Dataset, String) - Static method in class net.sf.myra.datamining.Evaluator
Returns the confusion matrix of the rule when used to classify the dataset instances, predicting the specified class label.
getConfusionMatrix(Rule, List<Instance>, String) - Static method in class net.sf.myra.datamining.Evaluator
Returns the confusion matrix of the rule when used to classify the specified instances, predicting a class label.
getConfusionMatrix(Model, Dataset, String) - Static method in class net.sf.myra.datamining.Evaluator
Returns the confusion matrix of the model for the specified class label.
getConfusionMatrix(Model, Dataset) - Static method in class net.sf.myra.datamining.Evaluator
Returns the confusion matrix of the specified rule set when used to classify the dataset instances.
getConfusionMatrix(Rule, String, List<Instance>) - Method in class net.sf.myra.datamining.function.hierarchical.LocalFunction
 
getConsequent() - Method in class net.sf.myra.datamining.ProbabilisticRule
 
getConsequent() - Method in class net.sf.myra.datamining.Rule
Returns the rule consequent.
getConsequent() - Method in class net.sf.myra.datamining.util.C45Disc.Rule
 
getConsequent() - Method in class net.sf.myra.datamining.util.RuleParser.Rule
 
getCurve() - Method in class net.sf.myra.datamining.statistics.Information
Returns the average PR curve.
getDataset() - Method in class net.sf.myra.datamining.AbstractObjectiveFunction
 
getDefault() - Method in class net.sf.myra.datamining.model.AbstractRuleModel
Returns the default rule.
getDescendants() - Method in class net.sf.myra.datamining.data.Node
 
getExtension() - Method in class net.sf.myra.datamining.io.ArffHelper
Returns the default file extension.
getExtension() - Method in class net.sf.myra.datamining.io.ExtendedArffHelper
Returns the default file extension.
getFilename() - Method in class net.sf.myra.datamining.data.Dataset
Returns the dataset filename.
getFold() - Method in class net.sf.myra.datamining.util.FlatCrossValidation.Partition
Returns the partition fold number.
getFunction() - Method in class net.sf.myra.datamining.AbstractPruner
Returns the ObjectiveFunction instance.
getGatherer() - Method in class net.sf.myra.datamining.model.AbstractRuleModel
 
getGatherer() - Method in interface net.sf.myra.datamining.Model
Returns the gatherer instance for this model.
getHelper(String) - Static method in class net.sf.myra.datamining.io.Helper
Returns a Helper instance to read the specified file.
getHelper(File) - Static method in class net.sf.myra.datamining.io.Helper
Returns a Helper instance to read the specified file.
getImpurity() - Method in class net.sf.myra.datamining.data.IntervalBuilder.Interval
Returns the interval entropy value.
getIndex() - Method in class net.sf.myra.datamining.data.Instance
Returns the instance index.
getIndex(String) - Method in class net.sf.myra.datamining.data.Label
Returns the index of the specified class value.
getIndex(String) - Method in class net.sf.myra.datamining.data.Metadata
Returns the attribute index.
getIndex(String) - Method in class net.sf.myra.datamining.data.NominalAttribute
Returns the index of the specified value.
getIndex() - Method in class net.sf.myra.datamining.data.Term
Returns the term's attribute index.
getInitial() - Method in class net.sf.myra.datamining.data.ContinuousAttribute
Returns the interval previously calculated.
getInstance(Metadata) - Static method in class net.sf.myra.datamining.data.IntervalBuilder
Returns the default interval builder instance.
getInstances() - Method in class net.sf.myra.datamining.data.Dataset
Returns the list of instances.
getInstances(String...) - Method in class net.sf.myra.datamining.data.Dataset
Returns the list of instances that belongs to the specified class.
getInstances(Attribute, String) - Method in class net.sf.myra.datamining.data.Dataset
Returns the list of instances that have the specified (attribute, value) combination.
getInstances(Term) - Method in class net.sf.myra.datamining.data.Dataset
Returns the list of instances that satisfy the specified term.
getInstances(Label) - Method in class net.sf.myra.datamining.data.Dataset
Returns the list of instances that have the specified label.
getInstances() - Method in class net.sf.myra.datamining.util.FlatCrossValidation.Partition
Returns the partition instance list.
getLabel() - Method in class net.sf.myra.datamining.data.Instance
Returns the class label.
getLabel() - Method in class net.sf.myra.datamining.data.Metadata
Returns the label prototype instance.
getLabel() - Method in class net.sf.myra.datamining.data.Node
 
getLast() - Method in class net.sf.myra.datamining.ProbabilisticSequentialRule
 
getLast() - Method in class net.sf.myra.datamining.SequentialRule
 
getLast() - Method in class net.sf.myra.datamining.statistics.Curve
Returns the last point of the curve.
getLast(int) - Method in class net.sf.myra.datamining.statistics.Curve
Returns the n-th last point of the curve.
getLeaves() - Method in class net.sf.myra.datamining.data.ClassHierarchy
Rerturns the collection of leaves of this class hierarchy.
getLevel(String) - Method in class net.sf.myra.datamining.data.ClassHierarchy
Returns the hierarchical level of the specified node.
getLevels() - Method in class net.sf.myra.datamining.data.ClassHierarchy
Returns the number of levels of the class hierarchy.
getMajority() - Method in class net.sf.myra.datamining.model.AbstractRuleModel
 
getMapping() - Method in class net.sf.myra.datamining.DefaultConfidenceFactor
Returns the rule's covering examples mapping.
getMeasure() - Method in class net.sf.myra.datamining.Main
Returns the measure instance to be used.
getMetadata() - Method in class net.sf.myra.datamining.data.Dataset
Returns the Metadata object associated with this dataset.
getMetadata() - Method in class net.sf.myra.datamining.data.Instance
Returns the Metadata object associated with this instance.
getName() - Method in class net.sf.myra.datamining.data.Attribute
Returns the attribute's name.
getName() - Method in class net.sf.myra.datamining.data.Metadata
Returns the relation name.
getOperator() - Method in class net.sf.myra.datamining.data.IntervalBuilder.Interval
Returns the interval operator.
getOperator() - Method in class net.sf.myra.datamining.data.Term
Returns the term's operator.
getOptions() - Method in class net.sf.myra.datamining.Classifier
Returns the configuration property options.
getOptions(String) - Method in class net.sf.myra.datamining.Main
Returns the classifier options.
getParents() - Method in class net.sf.myra.datamining.data.Node
 
getPoints() - Method in class net.sf.myra.datamining.statistics.Curve
Returns the list of points of the curve.
getPrecision() - Method in class net.sf.myra.datamining.ConfusionMatrix
Returns the precision value.
getPredictor() - Method in class net.sf.myra.datamining.data.Metadata
Returns the collection of predictor attributes.
getPresentLabel(List<Instance>) - Static method in class net.sf.myra.datamining.Evaluator
Returns a label instance with all present class labels from from the specified instances active.
getProbabiblities() - Method in class net.sf.myra.datamining.ProbabilisticRule
Returns the class probability array.
getRecall() - Method in class net.sf.myra.datamining.ConfusionMatrix
Returns the recall value.
getRoot() - Method in class net.sf.myra.datamining.data.ClassHierarchy
 
getRules() - Method in class net.sf.myra.datamining.model.AbstractRuleModel
 
getRules() - Method in class net.sf.myra.datamining.model.ProbabilisticRuleList
 
getRules() - Method in class net.sf.myra.datamining.model.ProbabilisticRuleSet
 
getRules() - Method in class net.sf.myra.datamining.model.RuleList
 
getRules() - Method in class net.sf.myra.datamining.model.RuleSet
 
getSensitivity() - Method in class net.sf.myra.datamining.ConfusionMatrix
Returns the sensitivity value.
getSize() - Method in class net.sf.myra.datamining.data.ClassHierarchy
Returns the number of nodes.
getSize() - Method in class net.sf.myra.datamining.data.Dataset
Returns the size (number of instances) of the dataset.
getSize(String) - Method in class net.sf.myra.datamining.data.Dataset
Returns the number of instances that belong to the specified class.
getSize() - Method in class net.sf.myra.datamining.util.FlatCrossValidation.Partition
Returns the partition size.
getSize() - Method in class net.sf.myra.datamining.util.RuleParser.Rule
 
getSpecificity() - Method in class net.sf.myra.datamining.ConfusionMatrix
Returns the specificity value.
getTarget() - Method in class net.sf.myra.datamining.data.Metadata
Returns the class attribute.
getTerms() - Method in class net.sf.myra.datamining.data.EntropyContent
Returns the collection of terms of the dataset.
getTraining() - Method in class net.sf.myra.datamining.util.ValidationHelper
 
getType() - Method in class net.sf.myra.datamining.util.RuleParser.Condition
 
getValidation() - Method in class net.sf.myra.datamining.util.ValidationHelper
 
getValue(Attribute) - Method in class net.sf.myra.datamining.data.Instance
Returns the instance value for the specified attribute.
getValue(String) - Method in class net.sf.myra.datamining.data.Instance
Returns the instance value for the specified attribute.
getValue(int) - Method in class net.sf.myra.datamining.data.NominalAttribute
Returns a value given its index.
getValue() - Method in class net.sf.myra.datamining.DefaultConfidenceFactor
Returns the confidence factor value.
getValue() - Method in class net.sf.myra.datamining.Unit
Return the quality measurement value.
getValue() - Method in class net.sf.myra.datamining.util.RuleParser.Condition
 
getValues() - Method in class net.sf.myra.datamining.data.Instance
Returns the instance values.
getValues() - Method in class net.sf.myra.datamining.data.IntervalBuilder.Interval
Returns the interval boundary values.
getValues() - Method in class net.sf.myra.datamining.data.Label
Returns the collection of class label values that are set for this instance.
getValues() - Method in class net.sf.myra.datamining.data.NominalAttribute
Returns the values of the attribute.
getValues() - Method in class net.sf.myra.datamining.data.Term
Returns the term values.
getVariance() - Method in class net.sf.myra.datamining.function.hierarchical.VarianceGainFunction
Returns the variance of the dataset.
getVertices() - Method in class net.sf.myra.datamining.ProbabilisticSequentialRule
 
getVertices() - Method in class net.sf.myra.datamining.SequentialRule
 
getWeight() - Method in class net.sf.myra.datamining.data.Instance
 
getWeight() - Method in class net.sf.myra.datamining.data.Node
 
getWeighted() - Method in class net.sf.myra.datamining.statistics.Information
Returns the weighted (based on individual class frequency) average area under the PR curve over all classes.
getX() - Method in class net.sf.myra.datamining.statistics.Point
Returns the x axis value.
getY() - Method in class net.sf.myra.datamining.statistics.Point
Returns the y axis value.

H

hasDefault() - Method in class net.sf.myra.datamining.model.AbstractRuleModel
Checks if the discovered rule set has a default rule (rule with no terms).
hasDuplicates() - Method in class net.sf.myra.datamining.data.Dataset
Checks if the dataset has duplicated instances (instances with the same values for every attribute).
hashCode() - Method in class net.sf.myra.datamining.data.Attribute
 
hashCode() - Method in class net.sf.myra.datamining.data.Instance
 
hashCode() - Method in class net.sf.myra.datamining.data.Label
 
hashCode() - Method in class net.sf.myra.datamining.data.Node
 
hasMissing() - Method in class net.sf.myra.datamining.data.Dataset
Checks of the dataset contains instances with missing values.
Helper - Class in net.sf.myra.datamining.io
Base class for dataset file helper.
Helper() - Constructor for class net.sf.myra.datamining.io.Helper
 
hFmeasure - Class in net.sf.myra.datamining.function.hierarchical
This class represents the hierarchical F-measure function.
hFmeasure(Dataset) - Constructor for class net.sf.myra.datamining.function.hierarchical.hFmeasure
Default constructor.
hFmeasureMeasure - Class in net.sf.myra.datamining.measure.hierarchical
 
hFmeasureMeasure() - Constructor for class net.sf.myra.datamining.measure.hierarchical.hFmeasureMeasure
 
HierarchicalCrossValidation - Class in net.sf.myra.datamining.util
This class represents the cross-validation procedure for hierarchical classification problems.
HierarchicalCrossValidation() - Constructor for class net.sf.myra.datamining.util.HierarchicalCrossValidation
 
HierarchicalExporter - Class in net.sf.myra.datamining.io
This class is used to output the individual predictions of each test instance.
HierarchicalExporter() - Constructor for class net.sf.myra.datamining.io.HierarchicalExporter
 
HierarchicalPruner - Class in net.sf.myra.datamining
 
HierarchicalPruner(AbstractObjectiveFunction, ClassAssignator) - Constructor for class net.sf.myra.datamining.HierarchicalPruner
 
hierarchy - Variable in class net.sf.myra.datamining.io.Exporter
The class hierarchy reference.
hierarchy - Variable in class net.sf.myra.datamining.io.HierarchicalExporter
The class hierarchy reference.
hJaccard - Class in net.sf.myra.datamining.function.hierarchical
 
hJaccard(Dataset) - Constructor for class net.sf.myra.datamining.function.hierarchical.hJaccard
 
hLocalErrorBasedFunction - Class in net.sf.myra.datamining.function.hierarchical
 
hLocalErrorBasedFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.hierarchical.hLocalErrorBasedFunction
 
hLocalJaccard - Class in net.sf.myra.datamining.function.hierarchical
 
hLocalJaccard(Dataset) - Constructor for class net.sf.myra.datamining.function.hierarchical.hLocalJaccard
 
HoldenARFFConverter - Class in net.sf.myra.datamining.util
Utility class to transform an ARFF file in Holden's format (hierarchical).
HoldenARFFConverter() - Constructor for class net.sf.myra.datamining.util.HoldenARFFConverter
 

I

impurity_s - Variable in class net.sf.myra.datamining.data.IntervalBuilder.CutPoint
Entropy value of the distribution.
impurity_s1 - Variable in class net.sf.myra.datamining.data.IntervalBuilder.CutPoint
Entropy value of the lower partition.
impurity_s2 - Variable in class net.sf.myra.datamining.data.IntervalBuilder.CutPoint
Entropy value of the upper partition.
increment(int) - Method in class net.sf.myra.datamining.ConfusionMatrix
Increments the specified cell in the matrix.
Information - Class in net.sf.myra.datamining.statistics
 
initialize(Graph<?>) - Method in class net.sf.myra.datamining.data.DistanceHeuristicInformation
 
initialize(Graph<?>) - Method in class net.sf.myra.datamining.data.EntropyHeuristicInformation
 
initialize(Graph<?>, EntropyContent) - Method in class net.sf.myra.datamining.data.EntropyHeuristicInformation
Initializes the vertices' heuristic information of the specified graph.
initialize(File, Metadata) - Method in class net.sf.myra.datamining.io.Exporter
Default constructor.
initialize(File, Metadata) - Method in class net.sf.myra.datamining.io.HierarchicalExporter
Default constructor.
Instance - Class in net.sf.myra.datamining.data
This class represents a instance of the dataset.
intersect(Label) - Method in class net.sf.myra.datamining.data.Label
Returns the number of class labels that are present in both Label instances.
IntervalBuilder - Class in net.sf.myra.datamining.data
 
IntervalBuilder(Metadata) - Constructor for class net.sf.myra.datamining.data.IntervalBuilder
Default constructor.
IntervalBuilder.CutPoint - Class in net.sf.myra.datamining.data
Struct-like class that represents a cut point.
IntervalBuilder.CutPoint() - Constructor for class net.sf.myra.datamining.data.IntervalBuilder.CutPoint
 
IntervalBuilder.Interval - Class in net.sf.myra.datamining.data
This class represents a continuous interval.
InverseMacroWeightedFMeasure - Class in net.sf.myra.datamining.measure
This class represents the weighted averaged F-Measure metric, where the weight of each class label corresponds to its inverse relative frequency of examples (1 - frequencylabel).
InverseMacroWeightedFMeasure() - Constructor for class net.sf.myra.datamining.measure.InverseMacroWeightedFMeasure
 
isAncestor(String) - Method in class net.sf.myra.datamining.data.Node
 
isBlank(String) - Method in class net.sf.myra.datamining.io.ArffHelper
Checks if the line is blank.
isComment(String) - Method in class net.sf.myra.datamining.io.ArffHelper
Checks if the line begin with the comment character ('%').
isCompressed() - Method in class net.sf.myra.datamining.io.Helper
Tests if the output should be compressed.
isCovered(Instance) - Method in class net.sf.myra.datamining.ProbabilisticSequentialRule
 
isCovered(Instance) - Method in class net.sf.myra.datamining.Rule
Checks if this rule covers the specified instance.
isCovered(Instance) - Method in class net.sf.myra.datamining.SequentialRule
 
isCovered(Instance) - Method in class net.sf.myra.datamining.util.C45Disc.Rule
 
isDescendant(String) - Method in class net.sf.myra.datamining.data.Node
 
isEmpty() - Method in class net.sf.myra.datamining.data.ClassHierarchy
Tests if the hierarchy has no nodes.
isEmpty() - Method in class net.sf.myra.datamining.data.Dataset
Returns true if the dataset contains no instances.
isEmpty() - Method in class net.sf.myra.datamining.ProbabilisticSequentialRule
 
isEmpty() - Method in class net.sf.myra.datamining.SequentialRule
 
isEmpty() - Method in class net.sf.myra.datamining.statistics.Curve
Returns true if this curve contains no coordinates.
isHierarchical() - Method in class net.sf.myra.datamining.data.Metadata
Tests if this metadata has a class hierarchy associated.
isLeaf() - Method in class net.sf.myra.datamining.data.Instance
Verifies if this instance is associated with a leaf class label.
isLeaf() - Method in class net.sf.myra.datamining.data.Node
 
isMissing(double) - Method in class net.sf.myra.datamining.data.Attribute
Checks if the specified value corresponds to a missing value.
isMissing(double) - Method in class net.sf.myra.datamining.data.ContinuousAttribute
 
isMissing(int, double) - Method in class net.sf.myra.datamining.data.Metadata
Returns true if the specified value represents a missing value.
isMissing(double) - Method in class net.sf.myra.datamining.data.NominalAttribute
 
isMissing(double) - Method in class net.sf.myra.datamining.io.ArffHelper.UnsupportedAttribute
 
isMultilabel() - Method in class net.sf.myra.datamining.data.Dataset
Verifies if this is a multi-label dataset (i.e.
isMultilabel() - Method in class net.sf.myra.datamining.data.Instance
Verifies if this is a multi-label instance.
isReached(Environment) - Method in class net.sf.myra.datamining.ConvergenceTest
 
isReached(Environment) - Method in class net.sf.myra.datamining.IterationTest
 
isRoot() - Method in class net.sf.myra.datamining.data.Node
 
isTarget() - Method in class net.sf.myra.datamining.data.Attribute
Indicates if this attribute is the target attribute.
isTarget(Attribute) - Method in class net.sf.myra.datamining.data.Metadata
Returns true if the specified attribute is the class attribute.
isTree() - Method in class net.sf.myra.datamining.data.ClassHierarchy
Returns true if the class hierarchy is tree structured.
IterationTest - Class in net.sf.myra.datamining
This class represents the iteration stop condition.
IterationTest() - Constructor for class net.sf.myra.datamining.IterationTest
Creates a new IterationTest instance.
IterationTest(int) - Constructor for class net.sf.myra.datamining.IterationTest
Creates a new IterationTest instance.
iterator() - Method in class net.sf.myra.datamining.data.Dataset
 

J

JaccardFunction - Class in net.sf.myra.datamining.function
This class implements the Jaccard rule evaluation function.
JaccardFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.JaccardFunction
Creates a new ConfidenceCoverageFunction instance.

K

k1 - Variable in class net.sf.myra.datamining.data.IntervalBuilder.CutPoint
Number of different class values of the lower partition.
k2 - Variable in class net.sf.myra.datamining.data.IntervalBuilder.CutPoint
Number of different class values of the upper partition.
KlosgenFunction - Class in net.sf.myra.datamining.function
This class implements the Klosgen rule evaluation function.
KlosgenFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.KlosgenFunction
Default constructor.
KlosgenFunction(Dataset, double) - Constructor for class net.sf.myra.datamining.function.KlosgenFunction
Construction with parameter.

L

label - Variable in class net.sf.myra.datamining.data.AbstractDistanceBasedBuilder.Candidate
 
Label - Class in net.sf.myra.datamining.data
This class represents a label for an instance.
labels() - Method in class net.sf.myra.datamining.data.Instance
Returns the array of indexed class values (labels).
LaplaceFunction - Class in net.sf.myra.datamining.function
This class represents the Laplace rule quality function.
LaplaceFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.LaplaceFunction
 
leaf(Collection<String>) - Method in class net.sf.myra.datamining.data.ClassHierarchy
Returns the label corresponding to the leaf node of the specified collection of class labels.
leaf(String...) - Method in class net.sf.myra.datamining.data.ClassHierarchy
Returns the label corresponding to the leaf node of the specified array of class labels.
leaves(Collection<String>) - Method in class net.sf.myra.datamining.data.ClassHierarchy
Returns the leaves label of the specified collection of class labels.
leaves(String...) - Method in class net.sf.myra.datamining.data.ClassHierarchy
Returns the leaves labels of the specified array of class labels.
length() - Method in class net.sf.myra.datamining.data.Label
Returns the label length.
LevelMeasure - Class in net.sf.myra.datamining.measure.hierarchical
 
LevelMeasure() - Constructor for class net.sf.myra.datamining.measure.hierarchical.LevelMeasure
 
link(String, String) - Method in class net.sf.myra.datamining.data.ClassHierarchy
Links the specified parent-child nodes.
link(Node, Node) - Method in class net.sf.myra.datamining.data.ClassHierarchy
Links the specified parent-child nodes.
LocalFunction - Class in net.sf.myra.datamining.function.hierarchical
 
LocalFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.hierarchical.LocalFunction
 

M

MacroAveragedFMeasure - Class in net.sf.myra.datamining.measure
This class represents the macro averaged F-Measure metric.
MacroAveragedFMeasure() - Constructor for class net.sf.myra.datamining.measure.MacroAveragedFMeasure
 
MacroWeightedFMeasure - Class in net.sf.myra.datamining.measure
This class represents the weighted averaged F-Measure metric, where the weight of each class label corresponds to its relative frequency of examples.
MacroWeightedFMeasure() - Constructor for class net.sf.myra.datamining.measure.MacroWeightedFMeasure
 
main(String[]) - Static method in class net.sf.myra.datamining.io.ArffHelper
Utility method to convert the specified dataset file to ARFF format.
main(String[]) - Static method in class net.sf.myra.datamining.io.C45Helper
 
main(String[]) - Static method in class net.sf.myra.datamining.io.CN2Helper
 
Main - Class in net.sf.myra.datamining
Default executable class to classification algorithms.
Main() - Constructor for class net.sf.myra.datamining.Main
 
main(String[]) - Static method in class net.sf.myra.datamining.Main
Program entry point.
main(String[]) - Static method in class net.sf.myra.datamining.statistics.CurveExporter
 
main(String[]) - Static method in class net.sf.myra.datamining.statistics.Diff
 
main(String[]) - Static method in class net.sf.myra.datamining.statistics.Exporter
Runs the exporter.
main(String[]) - Static method in class net.sf.myra.datamining.statistics.Parser
 
main(String[]) - Static method in class net.sf.myra.datamining.statistics.Printer
 
main(String[]) - Static method in class net.sf.myra.datamining.util.ACDTRunner
 
main(String[]) - Static method in class net.sf.myra.datamining.util.C45Disc
C4.5Disc entry point.
main(String[]) - Static method in class net.sf.myra.datamining.util.C45RulesRunner
 
main(String[]) - Static method in class net.sf.myra.datamining.util.CN2Runner
 
main(String[]) - Static method in class net.sf.myra.datamining.util.EvaluatorHelper
 
main(String[]) - Static method in class net.sf.myra.datamining.util.FilterNonLeafPredictions
 
main(String[]) - Static method in class net.sf.myra.datamining.util.FlatCrossValidation
CrossValidation entry point.
main(String[]) - Static method in class net.sf.myra.datamining.util.HierarchicalCrossValidation
CrossValidation entry point.
main(String[]) - Static method in class net.sf.myra.datamining.util.HoldenARFFConverter
Runs the converter from the command-line.
main(String[]) - Static method in class net.sf.myra.datamining.util.MissingValueFilter
 
main(String[]) - Static method in class net.sf.myra.datamining.util.RuleParser
 
main(String[]) - Static method in class net.sf.myra.datamining.util.ShowDatasetDetails
 
main(String[]) - Static method in class net.sf.myra.datamining.util.SillaARFFConverter
Runs the converter from the command-line.
main(String[]) - Static method in class net.sf.myra.datamining.util.Stdev
 
MajorityClassAssignator - Class in net.sf.myra.datamining
This class represents a ClassAssignator that determines a rule predicted class by the majority of examples covered by the rule.
MajorityClassAssignator() - Constructor for class net.sf.myra.datamining.MajorityClassAssignator
 
MAPPING_SIZE - Static variable in class net.sf.myra.datamining.statistics.Parser
Property name for the mapping size event.
maximum() - Method in class net.sf.myra.datamining.data.DistanceContent
Returns the maximum (worst case) variance value.
MAXIMUM_ITERATIONS - Static variable in class net.sf.myra.datamining.IterationTest
The property key under which the maximum iteration value is stored.
MAXIMUM_UNCOVERED_CASES - Static variable in class net.sf.myra.datamining.Classifier
The property key under which the maximum uncovered value is stored.
MDLDistanceIntervalBuilder - Class in net.sf.myra.datamining.data
 
MDLDistanceIntervalBuilder(Metadata) - Constructor for class net.sf.myra.datamining.data.MDLDistanceIntervalBuilder
Default constructor.
MDLEntropyIntervalBuilder - Class in net.sf.myra.datamining.data
Minimum Description Length Principle (MDLP) interval builder.
MDLEntropyIntervalBuilder(Metadata) - Constructor for class net.sf.myra.datamining.data.MDLEntropyIntervalBuilder
Default constructor.
mean(List<Instance>) - Method in class net.sf.myra.datamining.data.ContinuousAttribute
Returns the mean value of this attribute.
mean(double[]) - Static method in class net.sf.myra.datamining.util.ACDTRunner
 
MEASURE - Static variable in class net.sf.myra.datamining.Main
The property key under which the measure implementation class name is stored.
Measure - Interface in net.sf.myra.datamining
This interface represents a quality measure evaluator of a specified Model instance.
MEstimateFunction - Class in net.sf.myra.datamining.function
This class implements the m-estimate rule evaluation function.
MEstimateFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.MEstimateFunction
Default constructor.
MEstimateFunction(Dataset, double) - Constructor for class net.sf.myra.datamining.function.MEstimateFunction
Construction with parameter.
metadata - Variable in class net.sf.myra.datamining.data.IntervalBuilder
The dataset metadata.
Metadata - Class in net.sf.myra.datamining.data
This class provides attribute metadata information.
Metadata() - Constructor for class net.sf.myra.datamining.data.Metadata
Default constructor.
MicroAveragedFMeasure - Class in net.sf.myra.datamining.measure
This class represents the micro-averaged F-Measure metric.
MicroAveragedFMeasure() - Constructor for class net.sf.myra.datamining.measure.MicroAveragedFMeasure
 
MINIMUM - Static variable in class net.sf.myra.datamining.data.IntervalBuilder
The property key under which the minimum number of exemples per interval is stored.
MINIMUM - Static variable in class net.sf.myra.datamining.seco.SeCo
The property key under which the minimum covered cases by a rule is stored.
minimumLimit - Variable in class net.sf.myra.datamining.data.IntervalBuilder
The minimum number of instance per interval.
MISSING_VALUE - Static variable in class net.sf.myra.datamining.data.Metadata
Constant value for missing attribute values.
MISSING_VALUE_INDEX - Static variable in class net.sf.myra.datamining.data.NominalAttribute
The index for missing values.
MissingValueFilter - Class in net.sf.myra.datamining.util
 
MissingValueFilter() - Constructor for class net.sf.myra.datamining.util.MissingValueFilter
 
modal(List<Instance>) - Method in class net.sf.myra.datamining.data.NominalAttribute
Returns the most frequent (modal) value.
Model - Interface in net.sf.myra.datamining
This interface represents the knowledge discovered by a classifier.

N

names() - Method in class net.sf.myra.datamining.data.Label
Returns the names array of this label.
NEGATIVE - Static variable in class net.sf.myra.datamining.data.Strategy
 
NEGATIVE - Static variable in class net.sf.myra.datamining.statistics.CurveFactory
The negative value constant.
net.sf.myra.datamining - package net.sf.myra.datamining
 
net.sf.myra.datamining.data - package net.sf.myra.datamining.data
 
net.sf.myra.datamining.function - package net.sf.myra.datamining.function
 
net.sf.myra.datamining.function.hierarchical - package net.sf.myra.datamining.function.hierarchical
 
net.sf.myra.datamining.io - package net.sf.myra.datamining.io
 
net.sf.myra.datamining.measure - package net.sf.myra.datamining.measure
 
net.sf.myra.datamining.measure.hierarchical - package net.sf.myra.datamining.measure.hierarchical
 
net.sf.myra.datamining.model - package net.sf.myra.datamining.model
 
net.sf.myra.datamining.seco - package net.sf.myra.datamining.seco
 
net.sf.myra.datamining.statistics - package net.sf.myra.datamining.statistics
 
net.sf.myra.datamining.util - package net.sf.myra.datamining.util
 
newInstance() - Method in class net.sf.myra.datamining.data.Dataset
Returns a new Instance associated with this dataset.
NoClassAssignator - Class in net.sf.myra.datamining
 
NoClassAssignator() - Constructor for class net.sf.myra.datamining.NoClassAssignator
 
Node - Class in net.sf.myra.datamining.data
This class represents a node of the hierarchy.
Node(String) - Constructor for class net.sf.myra.datamining.data.Node
Default constructor.
NominalAttribute - Class in net.sf.myra.datamining.data
This class represents a nominal attribute.
NominalAttribute(String) - Constructor for class net.sf.myra.datamining.data.NominalAttribute
Creates a new NominalAttribute instance.
NominalAttribute(String, String[]) - Constructor for class net.sf.myra.datamining.data.NominalAttribute
Creates a new NominalAttribute instance.
NominalAttribute(String, Collection<String>) - Constructor for class net.sf.myra.datamining.data.NominalAttribute
Creates a new NominalAttribute instance.
NumericConfidenceFactor - Class in net.sf.myra.datamining
 
NumericConfidenceFactor(double) - Constructor for class net.sf.myra.datamining.NumericConfidenceFactor
Default constructor.

O

OMEGA - Static variable in class net.sf.myra.datamining.function.KlosgenFunction
 
open(String) - Static method in class net.sf.myra.datamining.io.Helper
Returns a Dataset instance that represents the data of the specified file.
open(File) - Static method in class net.sf.myra.datamining.io.Helper
Returns a Dataset instance that represents the data of the specified file.
Operator - Enum in net.sf.myra.datamining.data
This enum represents an operator in a rule's antecedent term.
OPTIONS_FILE - Static variable in class net.sf.myra.datamining.seco.SeCo
 
ORIGINAL_PREFIX - Static variable in class net.sf.myra.datamining.statistics.Parser
Prefix for 'original' (true) class attribute flags.

P

parse(String) - Method in class net.sf.myra.datamining.util.C45Disc.RuleParser
 
parse(String) - Method in class net.sf.myra.datamining.util.RuleParser
 
Parser - Class in net.sf.myra.datamining.statistics
Generates PR curves from a predictions file.
Parser() - Constructor for class net.sf.myra.datamining.statistics.Parser
 
partition(Dataset, int) - Static method in class net.sf.myra.datamining.util.HierarchicalCrossValidation
Splits the dataset into folds stratified partitions.
perform(Colony) - Method in class net.sf.myra.datamining.ConfidenceEvaluator
Evaluated the confidence factor of rules discovered by ants in the specified colony.
Point - Class in net.sf.myra.datamining.statistics
 
Point(double, double) - Constructor for class net.sf.myra.datamining.statistics.Point
Default constructor.
pooled() - Method in class net.sf.myra.datamining.measure.hierarchical.PRCurveMeasure.CurveArea
 
PooledPRCurveFunction - Class in net.sf.myra.datamining.function.hierarchical
 
PooledPRCurveFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.hierarchical.PooledPRCurveFunction
Default constructor.
PooledPRCurveMeasure - Class in net.sf.myra.datamining.measure.hierarchical
 
PooledPRCurveMeasure() - Constructor for class net.sf.myra.datamining.measure.hierarchical.PooledPRCurveMeasure
 
POSITIVE - Static variable in class net.sf.myra.datamining.data.Strategy
 
POSITIVE - Static variable in class net.sf.myra.datamining.statistics.CurveFactory
The positive value constant.
PRCurveMeasure - Class in net.sf.myra.datamining.measure.hierarchical
 
PRCurveMeasure() - Constructor for class net.sf.myra.datamining.measure.hierarchical.PRCurveMeasure
 
PRCurveMeasure.CurveArea - Class in net.sf.myra.datamining.measure.hierarchical
This class represents the different PR curve measures.
PRCurveMeasure.CurveAreaUnitAveragingMode - Class in net.sf.myra.datamining.measure.hierarchical
 
PRCurveMeasure.CurveAreaUnitAveragingMode() - Constructor for class net.sf.myra.datamining.measure.hierarchical.PRCurveMeasure.CurveAreaUnitAveragingMode
 
precision(double) - Method in enum net.sf.myra.datamining.data.Operator
Returns the double value with up to two decimal digits.
PRECISION_RECALL - Static variable in class net.sf.myra.datamining.statistics.CurveFactory
The precision-recall curve factory.
PREDICTED_PREFIX - Static variable in class net.sf.myra.datamining.statistics.Parser
Prefix for predicted class attribute flags.
print(String) - Method in class net.sf.myra.datamining.Main
Prints the specified string to the default output stream.
print(Dataset) - Method in class net.sf.myra.datamining.Main
Prints the dataset information.
Printer - Class in net.sf.myra.datamining.statistics
 
Printer() - Constructor for class net.sf.myra.datamining.statistics.Printer
 
ProbabilisticExporter - Class in net.sf.myra.datamining.io
 
ProbabilisticExporter() - Constructor for class net.sf.myra.datamining.io.ProbabilisticExporter
 
ProbabilisticModel - Interface in net.sf.myra.datamining.model
 
ProbabilisticRule - Class in net.sf.myra.datamining
 
ProbabilisticRule(Metadata) - Constructor for class net.sf.myra.datamining.ProbabilisticRule
Default constructor.
ProbabilisticRule(int, Label) - Constructor for class net.sf.myra.datamining.ProbabilisticRule
Creates a new Rule instance.
ProbabilisticRuleList - Class in net.sf.myra.datamining.model
 
ProbabilisticRuleList() - Constructor for class net.sf.myra.datamining.model.ProbabilisticRuleList
 
ProbabilisticRuleModel - Class in net.sf.myra.datamining.model
 
ProbabilisticRuleModel(Collection<Rule>) - Constructor for class net.sf.myra.datamining.model.ProbabilisticRuleModel
Default constructor.
ProbabilisticRuleSet - Class in net.sf.myra.datamining.model
 
ProbabilisticRuleSet() - Constructor for class net.sf.myra.datamining.model.ProbabilisticRuleSet
 
ProbabilisticSequentialRule - Class in net.sf.myra.datamining
 
ProbabilisticSequentialRule(Metadata) - Constructor for class net.sf.myra.datamining.ProbabilisticSequentialRule
Default constructor.
ProbabilisticSequentialRule(int, Label) - Constructor for class net.sf.myra.datamining.ProbabilisticSequentialRule
Creates a new Rule instance.
probabilities(Instance) - Method in interface net.sf.myra.datamining.model.ProbabilisticModel
 
probabilities(Instance) - Method in class net.sf.myra.datamining.model.ProbabilisticRuleList
 
probabilities(Instance) - Method in class net.sf.myra.datamining.model.ProbabilisticRuleSet
 
propertyChange(PropertyChangeEvent) - Method in class net.sf.myra.datamining.statistics.Parser
 
Pruner - Class in net.sf.myra.datamining
This class represents a prune procedure where one term is removed at a time, until no terms can be removed to improve the rule quality.
Pruner(AbstractObjectiveFunction, ClassAssignator) - Constructor for class net.sf.myra.datamining.Pruner
Creates a new Pruner instance.

R

rateOfCorrectness(double, double, double, double) - Method in class net.sf.myra.datamining.measure.CorrectnessRateMeasure
 
rateOfFailure(double, double) - Method in class net.sf.myra.datamining.measure.CorrectnessRateMeasure
 
rateOfMissingChances(double, double) - Method in class net.sf.myra.datamining.measure.CorrectnessRateMeasure
 
read(File) - Method in class net.sf.myra.datamining.io.ArffHelper
Returns a Dataset instance that represents the data of the specified ARFF file.
read(Reader) - Method in class net.sf.myra.datamining.io.ArffHelper
Returns a Dataset instance that represents the data of the specified ARFF file.
read(File, String) - Method in class net.sf.myra.datamining.io.C45Helper
 
read(File) - Method in class net.sf.myra.datamining.io.C45Helper
 
read(Reader, Reader) - Method in class net.sf.myra.datamining.io.C45Helper
Returns a Dataset instance that represents the data of the specified files.
read(File) - Method in class net.sf.myra.datamining.io.CN2Helper
 
read(Reader) - Method in class net.sf.myra.datamining.io.ExtendedArffHelper
 
read(String) - Method in class net.sf.myra.datamining.io.Helper
Returns a Dataset instance that represents the data of the specified file.
read(File) - Method in class net.sf.myra.datamining.io.Helper
Returns a Dataset instance that represents the data of the specified file.
read(String, CurveFactory) - Method in class net.sf.myra.datamining.statistics.Parser
Parses the specified prediction file.
read(String, CurveFactory, Set<String>) - Method in class net.sf.myra.datamining.statistics.Parser
Parses the specified prediction file.
read(File, CurveFactory) - Method in class net.sf.myra.datamining.statistics.Parser
Parses the specified prediction file.
read(File, CurveFactory, Set<String>) - Method in class net.sf.myra.datamining.statistics.Parser
Parses the specified prediction file.
read(Dataset, CurveFactory, Set<String>) - Method in class net.sf.myra.datamining.statistics.Parser
Parses the specified prediction file.
read(String) - Method in class net.sf.myra.datamining.util.HoldenARFFConverter
Returns the dataset instance specified by the filename.
read(Reader) - Method in class net.sf.myra.datamining.util.HoldenARFFConverter
Returns the dataset instance specified by the reader.
read(String) - Method in class net.sf.myra.datamining.util.SillaARFFConverter
Returns the dataset instance specified by the filename.
read(Reader) - Method in class net.sf.myra.datamining.util.SillaARFFConverter
Returns the dataset instance specified by the reader.
register(Class<?>, UnitAveragingMode<?>) - Static method in class net.sf.myra.datamining.UnitAveragingMode
Registers the specified averaging mode.
RELATION - Static variable in class net.sf.myra.datamining.data.ClassHierarchy
Relationship separator between nodes of the hierarchy.
RelativeCostMeasureFunction - Class in net.sf.myra.datamining.function
 
RelativeCostMeasureFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.RelativeCostMeasureFunction
Default constructor.
RelativeCostMeasureFunction(Dataset, double) - Constructor for class net.sf.myra.datamining.function.RelativeCostMeasureFunction
Construction with parameter.
remove(String) - Method in class net.sf.myra.datamining.data.ClassHierarchy
Removes the specified node from the class hierarchy.
remove(Node) - Method in class net.sf.myra.datamining.data.ClassHierarchy
Removes the specified node from the class hierarchy.
remove(Instance) - Method in class net.sf.myra.datamining.data.Dataset
Removes the first occurrence in this dataset of the specified instance.
remove(int) - Method in class net.sf.myra.datamining.data.Dataset
Removes the instance with the specified index.
remove(Attribute) - Method in class net.sf.myra.datamining.data.Dataset
Removes the specified attribute from the dataset.
remove(Collection<Instance>) - Method in class net.sf.myra.datamining.data.Dataset
Removes all this dataset's instances that are contained in the specified collection.
remove(String) - Method in class net.sf.myra.datamining.data.NominalAttribute
Removes the specified value from the attribute domain.
remove(Rule) - Method in class net.sf.myra.datamining.model.AbstractRuleModel
 
remove(Vertex<?>) - Method in class net.sf.myra.datamining.ProbabilisticSequentialRule
 
remove(Vertex<?>) - Method in class net.sf.myra.datamining.Rule
 
remove(Vertex<?>) - Method in class net.sf.myra.datamining.SequentialRule
 
reset() - Method in class net.sf.myra.datamining.data.Dataset
Resets the instances' weights.
resolve(Collection<Rule>) - Method in enum net.sf.myra.datamining.model.RuleSet.ConflictResolutionStrategy
 
ReversePruner - Class in net.sf.myra.datamining
This class represents a prune procedure where one term is added at a time, until no terms can be added to improve the rule quality.
ReversePruner(AbstractObjectiveFunction, ClassAssignator) - Constructor for class net.sf.myra.datamining.ReversePruner
Creates a new ReversePruner instance.
RMAX - Static variable in class net.sf.myra.datamining.measure.CorrectnessRateMeasure
 
RMIN - Static variable in class net.sf.myra.datamining.measure.CorrectnessRateMeasure
 
ROC - Static variable in class net.sf.myra.datamining.statistics.CurveFactory
The ROC curve factory.
Rule - Class in net.sf.myra.datamining
This class represents a classification rule, which is built from ant tours on the problem construction graph.
Rule(Metadata) - Constructor for class net.sf.myra.datamining.Rule
Default constructor.
Rule(int, Label) - Constructor for class net.sf.myra.datamining.Rule
Creates a new Rule instance.
RULE_QUALITY_FUNCTION - Static variable in class net.sf.myra.datamining.Classifier
The property key under which the rule quality function value is stored.
RuleList - Class in net.sf.myra.datamining.model
This class represents a rule list model.
RuleList() - Constructor for class net.sf.myra.datamining.model.RuleList
 
RuleParser - Class in net.sf.myra.datamining.util
Utility (experimental) to parse rules from the output file.
RuleParser() - Constructor for class net.sf.myra.datamining.util.RuleParser
 
RuleParser.Condition - Class in net.sf.myra.datamining.util
This class represents a rule condition.
RuleParser.Condition() - Constructor for class net.sf.myra.datamining.util.RuleParser.Condition
 
RuleParser.Rule - Class in net.sf.myra.datamining.util
This class represents a classification rule.
RuleParser.Rule() - Constructor for class net.sf.myra.datamining.util.RuleParser.Rule
 
RuleSet - Class in net.sf.myra.datamining.model
This class represents a rule set model.
RuleSet() - Constructor for class net.sf.myra.datamining.model.RuleSet
 
RuleSet(RuleSet.ConflictResolutionStrategy) - Constructor for class net.sf.myra.datamining.model.RuleSet
 
RuleSet.ConflictResolutionStrategy - Enum in net.sf.myra.datamining.model
 
run(Dataset) - Method in class net.sf.myra.datamining.Classifier
Trains the classifier using the specified dataset.
run(String[]) - Method in class net.sf.myra.datamining.Main
Executes a classification algorithm.
run(Dataset) - Method in class net.sf.myra.datamining.seco.SeCo
 
runBatch(String, String) - Method in class net.sf.myra.datamining.Main
 
runCrossValidation(Dataset) - Method in class net.sf.myra.datamining.Main
 
runTest(Dataset, Dataset) - Method in class net.sf.myra.datamining.Main
 
runTrain(Dataset) - Method in class net.sf.myra.datamining.Main
 

S

sameLabel(List<Instance>) - Static method in class net.sf.myra.datamining.Evaluator
Verifies if the the list of instances have the same class label.
satisfies(double) - Method in class net.sf.myra.datamining.data.Term
Verifies if the specified attribute value satisfies the term.
SeCo - Class in net.sf.myra.datamining.seco
 
SeCo() - Constructor for class net.sf.myra.datamining.seco.SeCo
Default constructor.
SensitivitySpecificityFunction - Class in net.sf.myra.datamining.function
This class represents the sensitivity x specificity rule quality measure.
SensitivitySpecificityFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.SensitivitySpecificityFunction
Creates a new SensitivitySpecificityFunction instance.
SequentialRule - Class in net.sf.myra.datamining
 
SequentialRule(Metadata) - Constructor for class net.sf.myra.datamining.SequentialRule
Creates a new DefaultTrail instance.
set(int, double) - Method in class net.sf.myra.datamining.ConfusionMatrix
Sets the value of the specified cell.
set(Attribute, String) - Method in class net.sf.myra.datamining.data.Instance
Sets the value of the specified attribute.
set(String, String) - Method in class net.sf.myra.datamining.data.Instance
Sets the value of the specified attribute.
set(String[]) - Method in class net.sf.myra.datamining.data.Instance
Sets all attributes values.
setAttribute(String) - Method in class net.sf.myra.datamining.util.RuleParser.Condition
 
setClassHierarchy(ClassHierarchy) - Method in class net.sf.myra.datamining.data.Metadata
 
setCompressed(boolean) - Method in class net.sf.myra.datamining.io.Helper
Sets the value of the compressed flag.
setConfidence(Comparable) - Method in class net.sf.myra.datamining.model.ProbabilisticRuleList
Sets the confidence value of this rule list.
setConfidence(ConfidenceFactor) - Method in class net.sf.myra.datamining.Rule
 
setConsequent(Label) - Method in class net.sf.myra.datamining.ProbabilisticRule
 
setConsequent(Label) - Method in class net.sf.myra.datamining.Rule
Sets the rule consequent.
setConsequent(int) - Method in class net.sf.myra.datamining.util.C45Disc.Rule
 
setConsequent(String) - Method in class net.sf.myra.datamining.util.RuleParser.Rule
 
setDataset(Dataset) - Method in class net.sf.myra.datamining.AbstractObjectiveFunction
 
setDescription(String...) - Method in class net.sf.myra.datamining.data.Term
Sets the term values description.
setFilename(String) - Method in class net.sf.myra.datamining.data.Dataset
Sets the dataset filename.
setInitial(IntervalBuilder.Interval) - Method in class net.sf.myra.datamining.data.ContinuousAttribute
 
setInstances(List<Instance>) - Method in class net.sf.myra.datamining.data.Dataset
Sets the dataset instances.
setMajority(Label) - Method in class net.sf.myra.datamining.model.AbstractRuleModel
 
setName(String) - Method in class net.sf.myra.datamining.data.Attribute
Sets the attribute's name.
setName(String) - Method in class net.sf.myra.datamining.data.Metadata
Sets the relation name.
setOperator(Operator) - Method in class net.sf.myra.datamining.data.Term
Sets the term operator.
setProbabiblities(double[]) - Method in class net.sf.myra.datamining.ProbabilisticRule
Sets the class probability array.
setTarget(NominalAttribute) - Method in class net.sf.myra.datamining.data.Metadata
Sets the class attribute.
setTarget(int) - Method in class net.sf.myra.datamining.data.Metadata
Sets the class attribute.
setType(RuleParser.ConditionType) - Method in class net.sf.myra.datamining.util.RuleParser.Condition
 
setValue(String...) - Method in class net.sf.myra.datamining.util.RuleParser.Condition
 
setValues(double...) - Method in class net.sf.myra.datamining.data.Term
Sets the term values.
setWeight(double) - Method in class net.sf.myra.datamining.data.Instance
 
setX(double) - Method in class net.sf.myra.datamining.statistics.Point
Sets the x axis value.
setY(double) - Method in class net.sf.myra.datamining.statistics.Point
Sets the y axis value.
ShowDatasetDetails - Class in net.sf.myra.datamining.util
 
ShowDatasetDetails() - Constructor for class net.sf.myra.datamining.util.ShowDatasetDetails
 
shrink() - Method in class net.sf.myra.datamining.data.ClassHierarchy
Swaps the root node for its single child node.
SillaARFFConverter - Class in net.sf.myra.datamining.util
Utility class to transform an ARFF file in Silla's format (hierarchical).
SillaARFFConverter() - Constructor for class net.sf.myra.datamining.util.SillaARFFConverter
 
size() - Method in class net.sf.myra.datamining.model.AbstractRuleModel
Returns the number of rules of the model.
size() - Method in class net.sf.myra.datamining.statistics.Curve
Returns the number of coordinaties (points) of this curve.
sort(double[][]) - Method in class net.sf.myra.datamining.data.AbstractEntropyBasedBuilder
Sorts (based on a bubble sort algorithm) the matrix of attribute value -> class value.
sort(double[][]) - Static method in class net.sf.myra.datamining.statistics.CurveFactory
Sorts (based on a bubble sort algorithm) a bidimensional array (predicted value,class value).
split(Dataset, int, FlatCrossValidation.Mode) - Static method in class net.sf.myra.datamining.util.FlatCrossValidation
Splits the dataset into folds partitions.
split(String, int) - Static method in class net.sf.myra.datamining.util.HierarchicalCrossValidation
Splits the dataset into folds stratified partitions.
split(Dataset, int) - Static method in class net.sf.myra.datamining.util.HierarchicalCrossValidation
Splits the dataset into folds stratified partitions.
stdev(Collection<? extends Number>) - Static method in class net.sf.myra.datamining.UnitAveragingMode
 
stdev(double[]) - Static method in class net.sf.myra.datamining.UnitAveragingMode
Caculates the mean and standard deviation.
stdev(double[]) - Static method in class net.sf.myra.datamining.util.ACDTRunner
Returns the mean and standard deviation of the specified distribution of values.
stdev(Double[]) - Static method in class net.sf.myra.datamining.util.C45RulesRunner
Returns the mean and standard deviation of the specified distribution of values.
stdev(Double[]) - Static method in class net.sf.myra.datamining.util.CN2Runner
Returns the mean and standard deviation of the specified distribution of values.
Stdev - Class in net.sf.myra.datamining.util
 
Stdev() - Constructor for class net.sf.myra.datamining.util.Stdev
 
stdev(double[]) - Static method in class net.sf.myra.datamining.util.Stdev
 
Strategy - Class in net.sf.myra.datamining.data
This class represents a hierarchical strategy for determining positive and negative examples in an hierarchical classification problem.
Strategy() - Constructor for class net.sf.myra.datamining.data.Strategy
 
Strategy.Type - Enum in net.sf.myra.datamining.data
 

T

Term - Class in net.sf.myra.datamining.data
This class represents a term in the antecedent of a rule.
Term(String, int) - Constructor for class net.sf.myra.datamining.data.Term
Default constructor.
threshold - Variable in class net.sf.myra.datamining.data.IntervalBuilder.CutPoint
The threshold value index.
TN - Static variable in class net.sf.myra.datamining.ConfusionMatrix
The true negative's index.
toGraph() - Method in class net.sf.myra.datamining.data.ClassHierarchy
Returns a Graph representation of the class hierarchy.
toGraph() - Method in class net.sf.myra.datamining.data.Metadata
Returns the Graph representation of this metadata instance.
toLabel(String...) - Method in class net.sf.myra.datamining.data.Label
Returns a new Label instance representing the specified array of labels.
toLabel(Collection<String>) - Method in class net.sf.myra.datamining.data.Label
Returns a new Label instance representing the specified list of labels.
toLabel(boolean[]) - Method in class net.sf.myra.datamining.data.Label
Returns a new Label instance representing the specified array of flags.
toString() - Method in class net.sf.myra.datamining.ConfusionMatrix
 
toString() - Method in class net.sf.myra.datamining.data.ClassHierarchy
 
toString() - Method in class net.sf.myra.datamining.data.ContinuousAttribute
 
toString() - Method in class net.sf.myra.datamining.data.Dataset
 
toString() - Method in class net.sf.myra.datamining.data.Instance
 
toString() - Method in class net.sf.myra.datamining.data.IntervalBuilder.CutPoint
 
toString() - Method in class net.sf.myra.datamining.data.Label
 
toString() - Method in class net.sf.myra.datamining.data.Node
 
toString() - Method in class net.sf.myra.datamining.data.NominalAttribute
 
toString(String) - Method in class net.sf.myra.datamining.data.NominalAttribute
 
toString(String, double[], String[]) - Method in enum net.sf.myra.datamining.data.Operator
Returns the string representation of this operator condition.
toString() - Method in class net.sf.myra.datamining.data.Term
 
toString() - Method in class net.sf.myra.datamining.measure.hierarchical.PRCurveMeasure.CurveArea
 
toString() - Method in class net.sf.myra.datamining.model.AbstractRuleModel.DefaultGatherer
 
toString() - Method in class net.sf.myra.datamining.model.AbstractRuleModel
 
toString() - Method in class net.sf.myra.datamining.ProbabilisticRule
 
toString() - Method in class net.sf.myra.datamining.Rule
 
toString() - Method in class net.sf.myra.datamining.statistics.Point
 
toString() - Method in class net.sf.myra.datamining.Unit
 
toString() - Method in class net.sf.myra.datamining.util.C45Disc.Rule
 
toString() - Method in class net.sf.myra.datamining.util.FlatCrossValidation.Partition
 
toString() - Method in class net.sf.myra.datamining.util.RuleParser.Rule
 
TP - Static variable in class net.sf.myra.datamining.ConfusionMatrix
The true positive's index.
TR_PREFIX - Static variable in class net.sf.myra.datamining.Main
Default training file name prefix.
transform(Node, Dataset) - Method in enum net.sf.myra.datamining.data.Strategy.Type
 
trim(String) - Method in class net.sf.myra.datamining.io.ArffHelper
Returns a copy of the specified string, with single and double quotes, as well as leading and trailing spaces omitted.
TS_PREFIX - Static variable in class net.sf.myra.datamining.Main
Default test file name prefix.
TYPE_KEY - Static variable in class net.sf.myra.datamining.data.Strategy
The property key under which the strategy type is stored.

U

unique() - Method in class net.sf.myra.datamining.data.ClassHierarchy
Checks if the class hierarchy has unique class label (i.e.
Unit<V extends java.lang.Comparable<V>> - Class in net.sf.myra.datamining
This class represents a unit of quality measurement for Model instances.
Unit(V) - Constructor for class net.sf.myra.datamining.Unit
Default constructor.
Unit.DoubleValued - Interface in net.sf.myra.datamining
Interface to indicate a unit value which can be represented as a double.
UnitAveragingMode<V extends java.lang.Comparable<V>> - Class in net.sf.myra.datamining
 
UnitAveragingMode() - Constructor for class net.sf.myra.datamining.UnitAveragingMode
 
UnitAveragingMode.DoubleUnitAveragingMode - Class in net.sf.myra.datamining
Default averaging mode for Double values.
UnitAveragingMode.DoubleUnitAveragingMode() - Constructor for class net.sf.myra.datamining.UnitAveragingMode.DoubleUnitAveragingMode
 
USEFULNESS - Static variable in class net.sf.myra.datamining.UsefulnessHelper
 
UsefulnessHelper - Class in net.sf.myra.datamining
 
UsefulnessHelper(Dataset) - Constructor for class net.sf.myra.datamining.UsefulnessHelper
 

V

validate(String) - Method in class net.sf.myra.datamining.data.Attribute
Checks of the current value belongs to the attribute's domain.
validate(String) - Method in class net.sf.myra.datamining.data.ContinuousAttribute
 
validate(String) - Method in class net.sf.myra.datamining.data.NominalAttribute
 
validate(String) - Method in class net.sf.myra.datamining.io.ArffHelper.UnsupportedAttribute
 
ValidationHelper - Class in net.sf.myra.datamining.util
 
ValidationHelper(Dataset) - Constructor for class net.sf.myra.datamining.util.ValidationHelper
Creates a new ValidationHelper.
ValidationHelper(Dataset, int) - Constructor for class net.sf.myra.datamining.util.ValidationHelper
Creates a new ValidationHelper.
value - Variable in class net.sf.myra.datamining.data.AbstractDistanceBasedBuilder.Candidate
 
value(int) - Method in class net.sf.myra.datamining.data.Instance
Return the (indexed) value of the specified attribute.
value - Variable in class net.sf.myra.datamining.data.IntervalBuilder.CutPoint
The threshold value.
valueOf(String) - Static method in enum net.sf.myra.datamining.data.Operator
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.sf.myra.datamining.data.Strategy.Type
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.sf.myra.datamining.model.RuleSet.ConflictResolutionStrategy
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum net.sf.myra.datamining.util.FlatCrossValidation.Mode
Returns the enum constant of this type with the specified name.
values() - Method in class net.sf.myra.datamining.data.Instance
Returns the array of indexed values.
values() - Static method in enum net.sf.myra.datamining.data.Operator
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.sf.myra.datamining.data.Strategy.Type
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.sf.myra.datamining.model.RuleSet.ConflictResolutionStrategy
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum net.sf.myra.datamining.util.FlatCrossValidation.Mode
Returns an array containing the constants of this enum type, in the order they are declared.
variance(AbstractDistanceBasedBuilder.Candidate[], int, int) - Method in class net.sf.myra.datamining.data.AbstractDistanceBasedBuilder
Returns the variance of the specified class values distribution.
variance(AbstractDistanceBasedBuilder.Candidate[], int, int, double[]) - Method in class net.sf.myra.datamining.data.AbstractDistanceBasedBuilder
Returns the variance of the specified class values distribution.
variance(String) - Method in class net.sf.myra.datamining.data.DistanceContent
Returns the variance associated with the specified term.
variance(List<Instance>) - Static method in class net.sf.myra.datamining.data.DistanceContent
Returns the variance of the list of instances' class labels.
variance(List<Instance>, double[]) - Static method in class net.sf.myra.datamining.data.DistanceContent
Returns the variance of the list of instances and the mean class label array.
VarianceFunction - Class in net.sf.myra.datamining.function.hierarchical
 
VarianceFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.hierarchical.VarianceFunction
Default constructor.
VarianceGainFunction - Class in net.sf.myra.datamining.function.hierarchical
 
VarianceGainFunction(Dataset) - Constructor for class net.sf.myra.datamining.function.hierarchical.VarianceGainFunction
 
VarianceGainMeasure - Class in net.sf.myra.datamining.measure.hierarchical
 
VarianceGainMeasure() - Constructor for class net.sf.myra.datamining.measure.hierarchical.VarianceGainMeasure
 
VarianceMeasure - Class in net.sf.myra.datamining.measure.hierarchical
 
VarianceMeasure() - Constructor for class net.sf.myra.datamining.measure.hierarchical.VarianceMeasure
 

W

W1 - Static variable in class net.sf.myra.datamining.measure.CorrectnessRateMeasure
 
W2 - Static variable in class net.sf.myra.datamining.measure.CorrectnessRateMeasure
 
W3 - Static variable in class net.sf.myra.datamining.measure.CorrectnessRateMeasure
 
weigh() - Method in class net.sf.myra.datamining.data.ClassHierarchy
Computes the weights of all nodes of the hierarchy.
weighted() - Method in class net.sf.myra.datamining.measure.hierarchical.PRCurveMeasure.CurveArea
 
weightedLength(double[][], int, int) - Method in class net.sf.myra.datamining.data.AbstractEntropyBasedBuilder
 
WeightedPRCurveMeasure - Class in net.sf.myra.datamining.measure.hierarchical
 
WeightedPRCurveMeasure() - Constructor for class net.sf.myra.datamining.measure.hierarchical.WeightedPRCurveMeasure
 
withoutDuplicates() - Method in class net.sf.myra.datamining.data.Dataset
Returns a new dataset instance without duplicated instances.
write(File, Dataset) - Method in class net.sf.myra.datamining.io.ArffHelper
Writes an ARFF file representing the specified dataset.
write(Writer, Dataset) - Method in class net.sf.myra.datamining.io.ArffHelper
Writes an ARFF file representing the specified dataset.
write(File, Dataset) - Method in class net.sf.myra.datamining.io.C45Helper
Writes the specified dataset in the C4.5 input file format (names/data).
write(Writer, Dataset) - Method in class net.sf.myra.datamining.io.C45Helper
Unsupported operation.
write(Dataset, Model) - Method in class net.sf.myra.datamining.io.ClassFrequencyExporter
 
write(File, Dataset) - Method in class net.sf.myra.datamining.io.CN2Helper
 
write(Writer, Dataset) - Method in class net.sf.myra.datamining.io.CN2Helper
 
write(Dataset, Model) - Method in class net.sf.myra.datamining.io.ConfidenceExporter
 
write(Dataset, Model) - Method in class net.sf.myra.datamining.io.Exporter
Writes the predictions to the file.
write(Dataset, Model) - Method in class net.sf.myra.datamining.io.FrequencyExporter
 
write(File, Dataset) - Method in class net.sf.myra.datamining.io.Helper
Writes a file representing the specified dataset.
write(Writer, Dataset) - Method in class net.sf.myra.datamining.io.Helper
Writes a file representing the specified dataset.
write(Dataset, Model) - Method in class net.sf.myra.datamining.io.HierarchicalExporter
Writes the predictions to the file.
write(Dataset, Model) - Method in class net.sf.myra.datamining.io.ProbabilisticExporter
 
writeAttribute(Attribute, PrintWriter) - Method in class net.sf.myra.datamining.io.ArffHelper
Writes the ARFF attribute information.
writeData(Dataset, PrintWriter) - Method in class net.sf.myra.datamining.io.ArffHelper
Writes the ARFF data section.
writeData(Dataset, PrintWriter) - Method in class net.sf.myra.datamining.io.ExtendedArffHelper
 
writeHeader(Metadata, PrintWriter) - Method in class net.sf.myra.datamining.io.ArffHelper
Writes the ARFF header section.
writeHeader(Metadata) - Method in class net.sf.myra.datamining.io.Exporter
Writes the output file header.
writeHeader(Metadata) - Method in class net.sf.myra.datamining.io.HierarchicalExporter
Writes the output file header.
writer - Variable in class net.sf.myra.datamining.io.Exporter
The output writer.
writer - Variable in class net.sf.myra.datamining.io.HierarchicalExporter
The output writer.
writeTarget(Metadata, PrintWriter) - Method in class net.sf.myra.datamining.io.ArffHelper
 
writeTarget(Metadata, PrintWriter) - Method in class net.sf.myra.datamining.io.ExtendedArffHelper
 

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