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R

RaceSearch class weka.attributeSelection.RaceSearch.
Class for performing a racing search.
RaceSearch(). Constructor for class weka.attributeSelection.RaceSearch
raceTypeTipText(). Method in class weka.attributeSelection.RaceSearch
Returns the tip text for this property
randEntropy. Variable in class weka.classifiers.kstar.KStarWrapper
used/reused to hold the random entropy
randomize(Random). Method in class weka.core.Instances
Shuffles the instances in the set so that they are ordered randomly.
randomizeDataTipText(). Method in class weka.experiment.RandomSplitResultProducer
Returns the tip text for this property
RandomizeFilter class weka.filters.RandomizeFilter.
This filter randomly shuffles the order of instances passed through it.
RandomizeFilter(). Constructor for class weka.filters.RandomizeFilter
RandomSearch class weka.attributeSelection.RandomSearch.
Class for performing a random search.
RandomSearch(). Constructor for class weka.attributeSelection.RandomSearch
Constructor
randomSeedTipText(). Method in class weka.classifiers.adtree.ADTree
randomSeedTipText(). Method in class weka.classifiers.neural.NeuralNetwork
RandomSplitResultProducer class weka.experiment.RandomSplitResultProducer.
Generates a single train/test split and calls the appropriate SplitEvaluator to generate some results.
RandomSplitResultProducer(). Constructor for class weka.experiment.RandomSplitResultProducer
randomWidthFactorTipText(). Method in class weka.classifiers.MultiClassClassifier
Range class weka.core.Range.
Class representing a range of cardinal numbers.
RANGE_BOUNDS. Static variable in class weka.classifiers.ThresholdSelector
RANGE_NONE. Static variable in class weka.classifiers.ThresholdSelector
Range(). Constructor for class weka.core.Range
Default constructor.
Range(String). Constructor for class weka.core.Range
Constructor to set initial range.
rangeCorrectionTipText(). Method in class weka.classifiers.ThresholdSelector
rankedAttributes(). Method in class weka.attributeSelection.RaceSearch
rankedAttributes(). Method in interface weka.attributeSelection.RankedOutputSearch
Returns a X by 2 list of attribute indexes and corresponding evaluations from best (highest) to worst.
rankedAttributes(). Method in class weka.attributeSelection.ForwardSelection
Produces a ranked list of attributes.
rankedAttributes(). Method in class weka.attributeSelection.Ranker
Sorts the evaluated attribute list
rankedAttributes(). Method in class weka.attributeSelection.AttributeSelection
get the final ranking of the attributes.
RankedOutputSearch interface weka.attributeSelection.RankedOutputSearch.
Interface for search methods capable of producing a ranked list of attributes.
Ranker class weka.attributeSelection.Ranker.
Class for ranking the attributes evaluated by a AttributeEvaluator Valid options are:

-P
Specify a starting set of attributes.

Ranker(). Constructor for class weka.attributeSelection.Ranker
Constructor
RankSearch class weka.attributeSelection.RankSearch.
Class for evaluating a attribute ranking (given by a specified evaluator) using a specified subset evaluator.
RankSearch(). Constructor for class weka.attributeSelection.RankSearch
rawOutputTipText(). Method in class weka.experiment.CrossValidationResultProducer
Returns the tip text for this property
rawOutputTipText(). Method in class weka.experiment.RandomSplitResultProducer
Returns the tip text for this property
readInstance(Reader). Method in class weka.core.Instances
Reads a single instance from the reader and appends it to the dataset.
readOldFormat(Reader). Method in class weka.classifiers.CostMatrix
Reads misclassification cost matrix from given reader.
readProperties(String). Static method in class weka.core.Utils
Reads properties that inherit from three locations.
realCount. Variable in class weka.core.AttributeStats
The number of real-like values (i.e.
RECALL_NAME. Static variable in class weka.classifiers.evaluation.ThresholdCurve
recall(int). Method in class weka.classifiers.Evaluation
Calculate the recall with respect to a particular class.
RECTANGLE. Static variable in class weka.gui.visualize.VisualizePanelEvent
reduceDimensionality(Instance). Method in class weka.attributeSelection.AttributeSelection
reduce the dimensionality of a single instance to include only those attributes chosen by the last run of attribute selection.
reduceDimensionality(Instances). Method in class weka.attributeSelection.AttributeSelection
reduce the dimensionality of a set of instances to include only those attributes chosen by the last run of attribute selection.
reduceMatrix(double[][]). Static method in class weka.core.ContingencyTables
Reduces a matrix by deleting all zero rows and columns.
ReferenceInstances class weka.classifiers.adtree.ReferenceInstances.
Simple class that extends the Instances class making it possible to create subsets of instances that reference their source set.
ReferenceInstances(Instances, int). Constructor for class weka.classifiers.adtree.ReferenceInstances
Creates an empty set of instances.
regression(Function). Method in class weka.classifiers.m5.Node
Computes the coefficients of a linear model using the instances at this node
regression(Matrix). Method in class weka.core.Matrix
Performs a (ridged) linear regression.
regression(Matrix, double[]). Method in class weka.core.Matrix
Performs a weighted (ridged) linear regression.
regression(Matrix, int, int). Method in class weka.classifiers.m5.Matrix
Linear regression
RegressionByDiscretization class weka.classifiers.RegressionByDiscretization.
Class for a regression scheme that employs any distribution classifier on a copy of the data that has the class attribute discretized.
RegressionByDiscretization(). Constructor for class weka.classifiers.RegressionByDiscretization
RegressionSplitEvaluator class weka.experiment.RegressionSplitEvaluator.
A SplitEvaluator that produces results for a classification scheme on a numeric class attribute.
RegressionSplitEvaluator(). Constructor for class weka.experiment.RegressionSplitEvaluator
No args constructor.
RELATION_NAME. Static variable in class weka.classifiers.evaluation.ThresholdCurve
The name of the relation used in threshold curve datasets
RELATION_NAME. Static variable in class weka.classifiers.evaluation.CostCurve
The name of the relation used in cost curve datasets
relationName(). Method in class weka.core.Instances
Returns the relation's name.
relativeAbsoluteError(). Method in class weka.classifiers.Evaluation
Returns the relative absolute error.
ReliefFAttributeEval class weka.attributeSelection.ReliefFAttributeEval.
Class for Evaluating attributes individually using ReliefF.
ReliefFAttributeEval(). Constructor for class weka.attributeSelection.ReliefFAttributeEval
Constructor
RemoteEngine class weka.experiment.RemoteEngine.
A general purpose server for executing Task objects sent via RMI.
RemoteEngine(String). Constructor for class weka.experiment.RemoteEngine
Constructor
RemoteExperiment class weka.experiment.RemoteExperiment.
Holds all the necessary configuration information for a distributed experiment.
RemoteExperiment(Experiment). Constructor for class weka.experiment.RemoteExperiment
Construct a new RemoteExperiment using a base Experiment
RemoteExperimentEvent class weka.experiment.RemoteExperimentEvent.
Class encapsulating information on progress of a remote experiment
RemoteExperimentEvent(boolean, boolean, boolean, String). Constructor for class weka.experiment.RemoteExperimentEvent
Constructor
RemoteExperimentListener interface weka.experiment.RemoteExperimentListener.
Interface for classes that want to listen for updates on RemoteExperiment progress
remoteExperimentStatus(RemoteExperimentEvent). Method in interface weka.experiment.RemoteExperimentListener
Called when progress has been made in a remote experiment
RemoteExperimentSubTask class weka.experiment.RemoteExperimentSubTask.
Class to encapsulate an experiment as a task that can be executed on a remote host.
RemoteExperimentSubTask(). Constructor for class weka.experiment.RemoteExperimentSubTask
REMOVE_CHILDREN. Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
remove(int). Method in class weka.classifiers.m5.Function
Removes a term from the function
removeAllElements(). Method in class weka.core.FastVector
Removes all components from this vector and sets its size to zero.
removeAllElements(). Method in class weka.core.Queue
Removes all objects from the queue.
removeAllInputs(). Method in class weka.classifiers.neural.NeuralConnection
This function will remove all the inputs to this unit.
removeAllInputs(). Method in class weka.classifiers.neural.NeuralNode
This function will remove all the inputs to this unit.
removeAllMissingColsTipText(). Method in class weka.associations.Apriori
Returns the tip text for this property
removeAllOutputs(). Method in class weka.classifiers.neural.NeuralConnection
This function will remove all outputs to this unit.
removeAllPlots(). Method in class weka.gui.visualize.Plot2D
Clears all plots
removeCancelListener(ActionListener). Method in class weka.gui.GenericObjectEditor.GOEPanel
This is used to remove an action listener from the cancel button
removeElementAt(int). Method in class weka.core.FastVector
Deletes an element from this vector.
removeInstanceListener(InstanceListener). Method in class weka.gui.streams.InstanceLoader
removeInstanceListener(InstanceListener). Method in class weka.gui.streams.InstanceJoiner
removeInstanceListener(InstanceListener). Method in interface weka.gui.streams.InstanceProducer
removeLinkAt(int). Method in class weka.attributeSelection.BestFirst.LinkedList2
removes an element (Link) at a specific index from the list.
removeLinkAt(int). Method in class weka.classifiers.DecisionTable.LinkedList
Removes an element (Link) at a specific index from the list.
removeNotify(). Method in class weka.gui.PropertyPanel
removeOkListener(ActionListener). Method in class weka.gui.GenericObjectEditor.GOEPanel
This is used to remove an action listener from the ok button
removePropertyChangeListener(PropertyChangeListener). Method in class weka.gui.GenericArrayEditor
Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener). Method in class weka.gui.GenericObjectEditor
Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener). Method in class weka.gui.SetInstancesPanel
Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener). Method in class weka.gui.CostMatrixEditor
Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener). Method in class weka.gui.PropertySheetPanel
Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener). Method in class weka.gui.experiment.SetupPanel
Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener). Method in class weka.gui.explorer.PreprocessPanel
Removes a PropertyChangeListener.
removeResult(String). Method in class weka.gui.ResultHistoryPanel
Removes one of the result buffers from the history.
removeSubstring(String, String). Static method in class weka.core.Utils
Removes all occurrences of a string from another string.
renameAttribute(Attribute, String). Method in class weka.core.Instances
Renames an attribute.
renameAttribute(int, String). Method in class weka.core.Instances
Renames an attribute.
renameAttributeValue(Attribute, String, String). Method in class weka.core.Instances
Renames the value of a nominal (or string) attribute value.
renameAttributeValue(int, int, String). Method in class weka.core.Instances
Renames the value of a nominal (or string) attribute value.
replaceMissingValues(double[]). Method in class weka.core.Instance
Replaces all missing values in the instance with the values contained in the given array.
replaceMissingValues(double[]). Method in class weka.core.SparseInstance
Replaces all missing values in the instance with the values contained in the given array.
replaceMissingValues(double[]). Method in class weka.core.BinarySparseInstance
Does nothing, since we don't support missing values.
ReplaceMissingValuesFilter class weka.filters.ReplaceMissingValuesFilter.
Replaces all missing values for nominal and numeric attributes in a dataset with the modes and means from the training data.
ReplaceMissingValuesFilter(). Constructor for class weka.filters.ReplaceMissingValuesFilter
replaceSubstring(String, String, String). Static method in class weka.core.Utils
Replaces with a new string, all occurrences of a string from another string.
reportFrequencyTipText(). Method in class weka.attributeSelection.GeneticSearch
Returns the tip text for this property
resample(Random). Method in class weka.core.Instances
Creates a new dataset of the same size using random sampling with replacement.
ResampleFilter class weka.filters.ResampleFilter.
Produces a random subsample of a dataset.
ResampleFilter(). Constructor for class weka.filters.ResampleFilter
resampleWithWeights(Random). Method in class weka.core.Instances
Creates a new dataset of the same size using random sampling with replacement according to the current instance weights.
resampleWithWeights(Random, double[]). Method in class weka.core.Instances
Creates a new dataset of the same size using random sampling with replacement according to the given weight vector.
reset(). Method in class weka.classifiers.neural.NeuralConnection
Call this to reset the unit for another run.
reset(). Method in class weka.classifiers.neural.NeuralNode
Call this to reset the value and error for this unit, ready for the next run.
reset(). Method in class weka.core.converters.CSVLoader
Resets the loader ready to read a new data set
reset(). Method in class weka.core.converters.ArffLoader
Resets the Loader ready to read a new data set
reset(). Method in class weka.core.converters.C45Loader
Resets the Loader ready to read a new data set
reset(). Method in class weka.core.converters.SerializedInstancesLoader
Resets the Loader ready to read a new data set
resetDistribution(Instances). Method in class weka.classifiers.j48.ClassifierSplitModel
Sets distribution associated with model.
resetDistribution(Instances). Method in class weka.classifiers.j48.BinC45Split
Sets distribution associated with model.
resetDistribution(Instances). Method in class weka.classifiers.j48.C45Split
Sets distribution associated with model.
resetOptions(). Method in class weka.associations.Apriori
Resets the options to the default values.
resetTipText(). Method in class weka.classifiers.neural.NeuralNetwork
ResultHistoryPanel class weka.gui.ResultHistoryPanel.
A component that accepts named stringbuffers and displays the name in a list box.
ResultHistoryPanel(JTextComponent). Constructor for class weka.gui.ResultHistoryPanel
Create the result history object
ResultListener interface weka.experiment.ResultListener.
Interface for objects able to listen for results obtained by a ResultProducer
ResultProducer interface weka.experiment.ResultProducer.
This interface defines the methods required for an object that produces results for different randomizations of a dataset.
resultProducerTipText(). Method in class weka.experiment.LearningRateResultProducer
Returns the tip text for this property
resultProducerTipText(). Method in class weka.experiment.AveragingResultProducer
Returns the tip text for this property
resultProducerTipText(). Method in class weka.experiment.DatabaseResultProducer
Returns the tip text for this property
resultsetKey(). Method in class weka.experiment.PairedTTester
Creates a key that maps resultset numbers to their descriptions.
ResultsPanel class weka.gui.experiment.ResultsPanel.
This panel controls simple analysis of experimental results.
ResultsPanel(). Constructor for class weka.gui.experiment.ResultsPanel
Creates the results panel with no initial experiment.
retrieveInstances(). Method in class weka.experiment.InstanceQuery
Makes a database query using the query set through the -Q option to convert a table into a set of instances
retrieveInstances(String). Method in class weka.experiment.InstanceQuery
Makes a database query to convert a table into a set of instances
rightSide(int, Instances). Method in class weka.classifiers.j48.ClassifierSplitModel
Prints left side of condition satisfied by instances in subset index.
rightSide(int, Instances). Method in class weka.classifiers.j48.NoSplit
Does nothing because no condition has to be satisfied.
rightSide(int, Instances). Method in class weka.classifiers.j48.BinC45Split
Prints the condition satisfied by instances in a subset.
rightSide(int, Instances). Method in class weka.classifiers.j48.C45Split
Prints the condition satisfied by instances in a subset.
ROOT_FINDER_ACCURACY. Static variable in interface weka.classifiers.kstar.KStarConstants
ROOT_FINDER_MAX_ITER. Static variable in interface weka.classifiers.kstar.KStarConstants
How close the root finder for numeric and nominal have to get
rootMeanPriorSquaredError(). Method in class weka.classifiers.Evaluation
Returns the root mean prior squared error.
rootMeanSquaredError(). Method in class weka.classifiers.Evaluation
Returns the root mean squared error.
rootRelativeSquaredError(). Method in class weka.classifiers.Evaluation
Returns the root relative squared error if the class is numeric.
round(double). Static method in class weka.core.Utils
Rounds a double to the next nearest integer value.
roundDouble(double). Static method in class weka.classifiers.m5.M5Utils
Rounds a double
roundDouble(double, int). Static method in class weka.core.Utils
Rounds a double to the given number of decimal places.
RUN_FIELD_NAME. Static variable in class weka.experiment.CrossValidationResultProducer
RUN_FIELD_NAME. Static variable in class weka.experiment.RandomSplitResultProducer
runCommand(String). Method in class weka.gui.SimpleCLI
Executes a simple cli command.
runExperiment(). Method in class weka.experiment.Experiment
Runs all iterations of the experiment, continuing past errors.
runExperiment(). Method in class weka.experiment.RemoteExperiment
Overides runExperiment in Experiment
RunNumberPanel class weka.gui.experiment.RunNumberPanel.
This panel controls configuration of lower and upper run numbers in an experiment.
RunNumberPanel(). Constructor for class weka.gui.experiment.RunNumberPanel
Creates the panel with no initial experiment.
RunNumberPanel(Experiment). Constructor for class weka.gui.experiment.RunNumberPanel
Creates the panel with the supplied initial experiment.
RunPanel class weka.gui.experiment.RunPanel.
This panel controls the running of an experiment.
RunPanel(). Constructor for class weka.gui.experiment.RunPanel
Creates the run panel with no initial experiment.
RunPanel(Experiment). Constructor for class weka.gui.experiment.RunPanel
Creates the panel with the supplied initial experiment.

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All Packages  Class Hierarchy