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

A

A - Variable in class weka.classifiers.functions.pace.Matrix

Array for internal storage of elements.

ACCEPT - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent

States that the user has accepted the tree.

ADDING - Static variable in class weka.gui.beans.KnowledgeFlow

ADD_CHILDREN - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent

ADNode - class weka.classifiers.bayes.ADNode.

The ADNode class implements the ADTree datastructure which increases the speed with which sub-contingency tables can be constructed from a data set in an Instances object.

ADNode() - Constructor for class weka.classifiers.bayes.ADNode

Creates new ADNode

ADTree - class weka.classifiers.trees.ADTree.

Class for generating an alternating decision tree.

ADTree() - Constructor for class weka.classifiers.trees.ADTree

AIC - Static variable in interface weka.classifiers.bayes.Scoreable

ALL - Static variable in class weka.associations.Tertius

AODE - class weka.classifiers.bayes.AODE.

AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than naive Bayes.

AODE() - Constructor for class weka.classifiers.bayes.AODE

APPROVE_OPTION - Static variable in class weka.gui.ListSelectorDialog

Signifies an OK property selection

APPROVE_OPTION - Static variable in class weka.gui.PropertySelectorDialog

Signifies an OK property selection

ARFF_ATTRIBUTE - Static variable in class weka.core.Attribute

The keyword used to denote the start of an arff attribute declaration

ARFF_ATTRIBUTE_DATE - Static variable in class weka.core.Attribute

The keyword used to denote a date attribute

ARFF_ATTRIBUTE_INTEGER - Static variable in class weka.core.Attribute

A keyword used to denote a numeric attribute

ARFF_ATTRIBUTE_NUMERIC - Static variable in class weka.core.Attribute

A keyword used to denote a numeric attribute

ARFF_ATTRIBUTE_REAL - Static variable in class weka.core.Attribute

A keyword used to denote a numeric attribute

ARFF_ATTRIBUTE_STRING - Static variable in class weka.core.Attribute

The keyword used to denote a string attribute

ARFF_DATA - Static variable in class weka.core.Instances

The keyword used to denote the start of the arff data section

ARFF_RELATION - Static variable in class weka.core.Instances

The keyword used to denote the start of an arff header

ASEvaluation - class weka.attributeSelection.ASEvaluation.

Abstract attribute selection evaluation class

ASEvaluation() - Constructor for class weka.attributeSelection.ASEvaluation

ASSearch - class weka.attributeSelection.ASSearch.

Abstract attribute selection search class.

ASSearch() - Constructor for class weka.attributeSelection.ASSearch

ATTRIBUTES_NULL_MESSAGE - Static variable in class weka.core.ClassTree

Message for Exception if both attributes are null.

AVAILABLE - Static variable in class weka.experiment.RemoteExperiment

AVAILABLE - Static variable in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed

AbstractClassHierarchyParser - class weka.core.converters.AbstractClassHierarchyParser.

This abstract parser does ensure the class-attribute of the instances given to the init-method is nominal.

AbstractClassHierarchyParser() - Constructor for class weka.core.converters.AbstractClassHierarchyParser

AbstractDataSink - class weka.gui.beans.AbstractDataSink.

Abstract class for objects that store instances to some destination.

AbstractDataSink() - Constructor for class weka.gui.beans.AbstractDataSink

AbstractDataSinkBeanInfo - class weka.gui.beans.AbstractDataSinkBeanInfo.

Bean info class for the AbstractDataSink

AbstractDataSinkBeanInfo() - Constructor for class weka.gui.beans.AbstractDataSinkBeanInfo

AbstractDataSource - class weka.gui.beans.AbstractDataSource.

Abstract class for objects that can provide instances from some source

AbstractDataSource() - Constructor for class weka.gui.beans.AbstractDataSource

Creates a new AbstractDataSource instance.

AbstractDataSourceBeanInfo - class weka.gui.beans.AbstractDataSourceBeanInfo.

Bean info class for AbstractDataSource.

AbstractDataSourceBeanInfo() - Constructor for class weka.gui.beans.AbstractDataSourceBeanInfo

AbstractEvaluator - class weka.gui.beans.AbstractEvaluator.

Abstract class for objects that can provide some kind of evaluation for classifier, clusterers etc.

AbstractEvaluator() - Constructor for class weka.gui.beans.AbstractEvaluator

Constructor

AbstractLoader - class weka.core.converters.AbstractLoader.

Abstract class gives default implementation of setSource methods.

AbstractLoader() - Constructor for class weka.core.converters.AbstractLoader

AbstractTestSetProducer - class weka.gui.beans.AbstractTestSetProducer.

Abstract class for TestSetProducers that contains default implementations of add/remove listener methods and defualt visual representation.

AbstractTestSetProducer() - Constructor for class weka.gui.beans.AbstractTestSetProducer

Creates a new AbstractTestSetProducer instance.

AbstractTestSetProducerBeanInfo - class weka.gui.beans.AbstractTestSetProducerBeanInfo.

BeanInfo class for AbstractTestSetProducer

AbstractTestSetProducerBeanInfo() - Constructor for class weka.gui.beans.AbstractTestSetProducerBeanInfo

AbstractTimeSeries - class weka.filters.unsupervised.attribute.AbstractTimeSeries.

An abstract instance filter that assumes instances form time-series data and performs some merging of attribute values in the current instance with attribute attribute values of some previous (or future) instance.

AbstractTimeSeries() - Constructor for class weka.filters.unsupervised.attribute.AbstractTimeSeries

AbstractTrainAndTestSetProducer - class weka.gui.beans.AbstractTrainAndTestSetProducer.

Abstract base class for TrainAndTestSetProducers that contains default implementations of add/remove listener methods and defualt visual representation.

AbstractTrainAndTestSetProducer() - Constructor for class weka.gui.beans.AbstractTrainAndTestSetProducer

Creates a new AbstractTrainAndTestSetProducer instance.

AbstractTrainAndTestSetProducerBeanInfo - class weka.gui.beans.AbstractTrainAndTestSetProducerBeanInfo.

Bean info class for AbstractTrainAndTestSetProducers

AbstractTrainAndTestSetProducerBeanInfo() - Constructor for class weka.gui.beans.AbstractTrainAndTestSetProducerBeanInfo

AbstractTrainingSetProducer - class weka.gui.beans.AbstractTrainingSetProducer.

Abstract class for TrainingSetProducers that contains default implementations of add/remove listener methods and default visual representation

AbstractTrainingSetProducer() - Constructor for class weka.gui.beans.AbstractTrainingSetProducer

Creates a new AbstractTrainingSetProducer instance.

AbstractTrainingSetProducerBeanInfo - class weka.gui.beans.AbstractTrainingSetProducerBeanInfo.

BeanInfo class for AbstractTrainingSetProducer

AbstractTrainingSetProducerBeanInfo() - Constructor for class weka.gui.beans.AbstractTrainingSetProducerBeanInfo

AdaBoostM1 - class weka.classifiers.meta.AdaBoostM1.

Class for boosting a classifier using Freund & Schapire's Adaboost M1 method.

AdaBoostM1() - Constructor for class weka.classifiers.meta.AdaBoostM1

Constructor.

Add - class weka.filters.unsupervised.attribute.Add.

An instance filter that adds a new attribute to the dataset.

Add() - Constructor for class weka.filters.unsupervised.attribute.Add

AddArcMakesSense(int, int) - Method in class weka.classifiers.bayes.BayesNetB

AddArcMakesSense checks whether adding the arc from iAttributeTail to iAttributeHead does not already exists and does not introduce a cycle

AddArcMakesSense(int, int) - Method in class weka.classifiers.bayes.BayesNetB2

AddArcMakesSense checks whether adding the arc from iAttributeTail to iAttributeHead does not already exists and does not introduce a cycle

AddCluster - class weka.filters.unsupervised.attribute.AddCluster.

A filter that adds a new nominal attribute representing the cluster assigned to each instance by the specified clustering algorithm.

AddCluster() - Constructor for class weka.filters.unsupervised.attribute.AddCluster

AddExpression - class weka.filters.unsupervised.attribute.AddExpression.

Applys a mathematical expression involving attributes and numeric constants to a dataset.

AddExpression() - Constructor for class weka.filters.unsupervised.attribute.AddExpression

AddExpression.AttributeOperand - class weka.filters.unsupervised.attribute.AddExpression.AttributeOperand.

Inner class handling an attribute index as an operand

AddExpression.AttributeOperand(String, boolean) - Constructor for class weka.filters.unsupervised.attribute.AddExpression.AttributeOperand

AddExpression.NumericOperand - class weka.filters.unsupervised.attribute.AddExpression.NumericOperand.

Inner class for storing numeric constant opperands

AddExpression.NumericOperand(String, boolean) - Constructor for class weka.filters.unsupervised.attribute.AddExpression.NumericOperand

AddExpression.Operator - class weka.filters.unsupervised.attribute.AddExpression.Operator.

Inner class for storing operators

AddExpression.Operator(char) - Constructor for class weka.filters.unsupervised.attribute.AddExpression.Operator

AddNoise - class weka.filters.unsupervised.attribute.AddNoise.

Introduces noise data a random subsample of the dataset by changing a given attribute (attribute must be nominal) Valid options are: -C col
Index of the attribute to be changed.

AddNoise() - Constructor for class weka.filters.unsupervised.attribute.AddNoise

AddParent(int, Instances) - Method in class weka.classifiers.bayes.ParentSet

Add parent to parent set and update internals (specifically the cardinality of the parent set)

AdditionalMeasureProducer - interface weka.core.AdditionalMeasureProducer.

Interface to something that can produce measures other than those calculated by evaluation modules.

AdditiveRegression - class weka.classifiers.meta.AdditiveRegression.

Meta classifier that enhances the performance of a regression base classifier.

AdditiveRegression() - Constructor for class weka.classifiers.meta.AdditiveRegression

Default constructor specifying DecisionStump as the classifier

AdditiveRegression(Classifier) - Constructor for class weka.classifiers.meta.AdditiveRegression

Constructor which takes base classifier as argument.

AlgorithmListPanel - class weka.gui.experiment.AlgorithmListPanel.

This panel controls setting a list of algorithms for an experiment to iterate over.

AlgorithmListPanel(Experiment) - Constructor for class weka.gui.experiment.AlgorithmListPanel

Creates the algorithm list panel with the given experiment.

AlgorithmListPanel() - Constructor for class weka.gui.experiment.AlgorithmListPanel

Create the algorithm list panel initially disabled.

AlgorithmListPanel.ObjectCellRenderer - class weka.gui.experiment.AlgorithmListPanel.ObjectCellRenderer.

AlgorithmListPanel.ObjectCellRenderer() - Constructor for class weka.gui.experiment.AlgorithmListPanel.ObjectCellRenderer

AllFilter - class weka.filters.AllFilter.

A simple instance filter that passes all instances directly through.

AllFilter() - Constructor for class weka.filters.AllFilter

Apriori - class weka.associations.Apriori.

Class implementing an Apriori-type algorithm.

Apriori() - Constructor for class weka.associations.Apriori

Constructor that allows to sets default values for the minimum confidence and the maximum number of rules the minimum confidence.

ArffFileMerger - class weka.core.converters.ArffFileMerger.

Class to merge two arff-files.

ArffFileMerger() - Constructor for class weka.core.converters.ArffFileMerger

ArffLoader - class weka.core.converters.ArffLoader.

Reads a source that is in arff text format.

ArffLoader() - Constructor for class weka.core.converters.ArffLoader

AssociationsPanel - class weka.gui.explorer.AssociationsPanel.

This panel allows the user to select, configure, and run a scheme that learns associations.

AssociationsPanel() - Constructor for class weka.gui.explorer.AssociationsPanel

Creates the associator panel

Associator - class weka.associations.Associator.

Abstract scheme for learning associations.

Associator() - Constructor for class weka.associations.Associator

Attribute - class weka.core.Attribute.

Class for handling an attribute.

Attribute(String) - Constructor for class weka.core.Attribute

Constructor for a numeric attribute.

Attribute(String, ProtectedProperties) - Constructor for class weka.core.Attribute

Constructor for a numeric attribute, where metadata is supplied.

Attribute(String, String) - Constructor for class weka.core.Attribute

Constructor for a date attribute.

Attribute(String, String, ProtectedProperties) - Constructor for class weka.core.Attribute

Constructor for a date attribute, where metadata is supplied.

Attribute(String, FastVector) - Constructor for class weka.core.Attribute

Constructor for nominal attributes and string attributes.

Attribute(String, FastVector, ProtectedProperties) - Constructor for class weka.core.Attribute

Constructor for nominal attributes and string attributes, where metadata is supplied.

Attribute(String, int) - Constructor for class weka.core.Attribute

Constructor for a numeric attribute with a particular index.

Attribute(String, String, int) - Constructor for class weka.core.Attribute

Constructor for date attributes with a particular index.

Attribute(String, FastVector, int) - Constructor for class weka.core.Attribute

Constructor for nominal attributes and string attributes with a particular index.

AttributeEvaluator - class weka.attributeSelection.AttributeEvaluator.

Abstract attribute evaluator.

AttributeEvaluator() - Constructor for class weka.attributeSelection.AttributeEvaluator

AttributeListPanel - class weka.gui.AttributeListPanel.

Creates a panel that displays the attributes contained in a set of instances, letting the user select a single attribute for inspection.

AttributeListPanel() - Constructor for class weka.gui.AttributeListPanel

Creates the attribute selection panel with no initial instances.

AttributeListPanel.AttributeTableModel - class weka.gui.AttributeListPanel.AttributeTableModel.

A table model that looks at the names of attributes.

AttributeListPanel.AttributeTableModel(Instances) - Constructor for class weka.gui.AttributeListPanel.AttributeTableModel

Creates the tablemodel with the given set of instances.

AttributePanel - class weka.gui.visualize.AttributePanel.

This panel displays one dimensional views of the attributes in a dataset.

AttributePanel() - Constructor for class weka.gui.visualize.AttributePanel

This constructs an attributePanel.

AttributePanel.AttributeSpacing - class weka.gui.visualize.AttributePanel.AttributeSpacing.

inner inner class used for plotting the points into a bar for a particular attribute.

AttributePanel.AttributeSpacing(Attribute, int) - Constructor for class weka.gui.visualize.AttributePanel.AttributeSpacing

This constructs the bar with the specified attribute and sets its index to be used for selecting by the mouse.

AttributePanelEvent - class weka.gui.visualize.AttributePanelEvent.

Class encapsulating a change in the AttributePanel's selected x and y attributes.

AttributePanelEvent(boolean, boolean, int) - Constructor for class weka.gui.visualize.AttributePanelEvent

Constructor

AttributePanelListener - interface weka.gui.visualize.AttributePanelListener.

Interface for classes that want to listen for Attribute selection changes in the attribute panel

AttributeSelectedClassifier - class weka.classifiers.meta.AttributeSelectedClassifier.

Class for running an arbitrary classifier on data that has been reduced through attribute selection.

AttributeSelectedClassifier() - Constructor for class weka.classifiers.meta.AttributeSelectedClassifier

AttributeSelection - class weka.attributeSelection.AttributeSelection.

Attribute selection class.

AttributeSelection() - Constructor for class weka.attributeSelection.AttributeSelection

constructor.

AttributeSelection - class weka.filters.supervised.attribute.AttributeSelection.

Filter for doing attribute selection.

AttributeSelection() - Constructor for class weka.filters.supervised.attribute.AttributeSelection

Constructor

AttributeSelectionPanel - class weka.gui.AttributeSelectionPanel.

Creates a panel that displays the attributes contained in a set of instances, letting the user toggle whether each attribute is selected or not (eg: so that unselected attributes can be removed before classification).

AttributeSelectionPanel() - Constructor for class weka.gui.AttributeSelectionPanel

Creates the attribute selection panel with no initial instances.

AttributeSelectionPanel - class weka.gui.explorer.AttributeSelectionPanel.

This panel allows the user to select and configure an attribute evaluator and a search method, set the attribute of the current dataset to be used as the class, and perform attribute selection using one of two selection modes (select using all the training data or perform a n-fold cross validation---on each trial selecting features using n-1 folds of the data).

AttributeSelectionPanel() - Constructor for class weka.gui.explorer.AttributeSelectionPanel

Creates the classifier panel

AttributeSelectionPanel.AttributeTableModel - class weka.gui.AttributeSelectionPanel.AttributeTableModel.

A table model that looks at the names of attributes and maintains a list of attributes that have been "selected".

AttributeSelectionPanel.AttributeTableModel(Instances) - Constructor for class weka.gui.AttributeSelectionPanel.AttributeTableModel

Creates the tablemodel with the given set of instances.

AttributeStats - class weka.core.AttributeStats.

A Utility class that contains summary information on an the values that appear in a dataset for a particular attribute.

AttributeStats() - Constructor for class weka.core.AttributeStats

AttributeSummarizer - class weka.gui.beans.AttributeSummarizer.

Bean that encapsulates displays bar graph summaries for attributes in a data set.

AttributeSummarizer() - Constructor for class weka.gui.beans.AttributeSummarizer

Creates a new AttributeSummarizer instance.

AttributeSummarizerBeanInfo - class weka.gui.beans.AttributeSummarizerBeanInfo.

Bean info class for the attribute summarizer bean

AttributeSummarizerBeanInfo() - Constructor for class weka.gui.beans.AttributeSummarizerBeanInfo

AttributeSummaryPanel - class weka.gui.AttributeSummaryPanel.

This panel displays summary statistics about an attribute: name, type number/% of missing/unique values, number of distinct values.

AttributeSummaryPanel() - Constructor for class weka.gui.AttributeSummaryPanel

Creates the instances panel with no initial instances.

AttributeTransformer - interface weka.attributeSelection.AttributeTransformer.

Abstract attribute transformer.

AttributeValueLiteral - class weka.associations.tertius.AttributeValueLiteral.

AttributeValueLiteral(Predicate, String, int, int, int) - Constructor for class weka.associations.tertius.AttributeValueLiteral

AttributeVisualizationPanel - class weka.gui.AttributeVisualizationPanel.

Creates a panel that shows a visualization of an attribute in a dataset.

AttributeVisualizationPanel() - Constructor for class weka.gui.AttributeVisualizationPanel

AttributeVisualizationPanel(boolean) - Constructor for class weka.gui.AttributeVisualizationPanel

AttributeVisualizationPanel.BarCalc - class weka.gui.AttributeVisualizationPanel.BarCalc.

AttributeVisualizationPanel.BarCalc() - Constructor for class weka.gui.AttributeVisualizationPanel.BarCalc

AttributeVisualizationPanel.HistCalc - class weka.gui.AttributeVisualizationPanel.HistCalc.

AttributeVisualizationPanel.HistCalc() - Constructor for class weka.gui.AttributeVisualizationPanel.HistCalc

AveragingResultProducer - class weka.experiment.AveragingResultProducer.

AveragingResultProducer takes the results from a ResultProducer and submits the average to the result listener.

AveragingResultProducer() - Constructor for class weka.experiment.AveragingResultProducer

abortExperiment() - Method in class weka.experiment.RemoteExperiment

Set the abort flag

abortExperiment() - Method in class weka.gui.experiment.RunPanel.ExperimentRunner

absDev(int, Instances) - Static method in class weka.classifiers.trees.m5.Rule

Returns the absolute deviation value of the supplied attribute index.

accept(File) - Method in class weka.gui.ExtensionFileFilter

Returns true if the supplied file should be accepted (i.e.: if it has the required extension or is a directory).

accept(File, String) - Method in class weka.gui.ExtensionFileFilter

Returns true if the file in the given directory with the given name should be accepted.

acceptClassifier(BatchClassifierEvent) - Method in interface weka.gui.beans.BatchClassifierListener

Accept a BatchClassifierEvent

acceptClassifier(BatchClassifierEvent) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator

Accept a classifier to be evaluated

acceptClassifier(IncrementalClassifierEvent) - Method in class weka.gui.beans.IncrementalClassifierEvaluator

Accepts and processes a classifier encapsulated in an incremental classifier event

acceptClassifier(IncrementalClassifierEvent) - Method in interface weka.gui.beans.IncrementalClassifierListener

Accept the event

acceptClassifier(IncrementalClassifierEvent) - Method in class weka.gui.beans.PredictionAppender

Accept and process an incremental classifier event

acceptClassifier(BatchClassifierEvent) - Method in class weka.gui.beans.PredictionAppender

Accept and process a batch classifier event

acceptDataPoint(ChartEvent) - Method in interface weka.gui.beans.ChartListener

acceptDataPoint(ChartEvent) - Method in class weka.gui.beans.StripChart

Accept a data point (encapsulated in a chart event) to plot

acceptDataPoint(double[]) - Method in class weka.gui.beans.StripChart

Accept a data point to plot

acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.AbstractDataSink

Accept a data set

acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer

Subclass must implement

acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.CSVDataSink

acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.ClassAssigner

acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.CrossValidationFoldMaker

Accept a data set

acceptDataSet(DataSetEvent) - Method in interface weka.gui.beans.DataSourceListener

acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.DataVisualizer

Accept a data set

acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Filter

Accept a data set

acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TestSetMaker

Accepts and processes a data set event

acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TextViewer

Accept a data set for displaying as text

acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TrainTestSplitMaker

Accept a data set

acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TrainingSetMaker

Accept a data set

acceptGraph(GraphEvent) - Method in interface weka.gui.beans.GraphListener

Describe acceptGraph method here.

acceptGraph(GraphEvent) - Method in class weka.gui.beans.GraphViewer

Accept a graph

acceptInstance(InstanceEvent) - Method in class weka.gui.beans.ClassAssigner

acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Classifier

Accepts an instance for incremental processing.

acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Filter

Accept an instance for processing by StreamableFilters only

acceptInstance(InstanceEvent) - Method in interface weka.gui.beans.InstanceListener

Accept and process an instance event

acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.AveragingResultProducer

Accepts results from a ResultProducer.

acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.CSVResultListener

Just prints out each result as it is received.

acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.DatabaseResultListener

Submit the result to the appropriate table of the database

acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.DatabaseResultProducer

Accepts results from a ResultProducer.

acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.InstancesResultListener

Collects each instance and adjusts the header information.

acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.LearningRateResultProducer

Accepts results from a ResultProducer.

acceptResult(ResultProducer, Object[], Object[]) - Method in interface weka.experiment.ResultListener

Accepts results from a ResultProducer.

acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.AbstractDataSink

Accept a test set

acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.ClassAssigner

acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Classifier

Accepts a test set for a batch trained classifier

acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.CrossValidationFoldMaker

Accept a test set

acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.DataVisualizer

Accept a test set

acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Filter

Accept a test set

acceptTestSet(TestSetEvent) - Method in interface weka.gui.beans.TestSetListener

Accept and process a test set event

acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.TextViewer

Accept a test set for displaying as text

acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.TrainTestSplitMaker

Accept a test set

acceptText(TextEvent) - Method in interface weka.gui.beans.TextListener

Accept and process a text event

acceptText(TextEvent) - Method in class weka.gui.beans.TextViewer

Accept some text

acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.AbstractDataSink

Accept a training set

acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.ClassAssigner

acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Classifier

Accepts a training set and builds batch classifier

acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.CrossValidationFoldMaker

Accept a training set

acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.DataVisualizer

Accept a training set

acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Filter

Accept a training set

acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.TextViewer

Accept a training set for displaying as text

acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.TrainTestSplitMaker

Accept a training set

acceptTrainingSet(TrainingSetEvent) - Method in interface weka.gui.beans.TrainingSetListener

Accept and process a training set

accu - Variable in class weka.classifiers.rules.JRip.Antd

accu - Variable in class weka.classifiers.rules.Ridor.Antd

accuRate - Variable in class weka.classifiers.rules.JRip.Antd

accuRate - Variable in class weka.classifiers.rules.Ridor.Antd

accurate - Variable in class weka.classifiers.rules.JRip.NominalAntd

accurate - Variable in class weka.classifiers.rules.Ridor.NominalAntd

actEntropy - Variable in class weka.classifiers.lazy.kstar.KStarWrapper

used/reused to hold the actual entropy

actionPerformed(ActionEvent) - Method in class weka.gui.CostMatrixEditor.CustomEditor

Responds to the user perfoming an action.

actionPerformed(ActionEvent) - Method in class weka.gui.SimpleCLI

Only gets called when return is pressed in the input area, which starts the command running.

actionPerformed(ActionEvent) - Method in class weka.gui.experiment.AlgorithmListPanel

Handle actions when buttons get pressed.

actionPerformed(ActionEvent) - Method in class weka.gui.experiment.DatasetListPanel

Handle actions when buttons get pressed.

actionPerformed(ActionEvent) - Method in class weka.gui.experiment.GeneratorPropertyIteratorPanel

Handles the various button clicking type activities.

actionPerformed(ActionEvent) - Method in class weka.gui.experiment.HostListPanel

Handle actions when text is entered into the host field or the delete button is pressed.

actionPerformed(ActionEvent) - Method in class weka.gui.experiment.RunPanel

Controls starting and stopping the experiment.

actionPerformed(ActionEvent) - Method in class weka.gui.streams.InstanceLoader

actionPerformed(ActionEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer

Performs the action associated with the ActionEvent.

actual() - Method in class weka.classifiers.evaluation.NominalPrediction

Gets the actual class value.

actual() - Method in class weka.classifiers.evaluation.NumericPrediction

Gets the actual class value.

actual() - Method in interface weka.classifiers.evaluation.Prediction

Gets the actual class value.

actualNumBags() - Method in class weka.classifiers.trees.j48.Distribution

Returns number of non-empty bags of distribution.

actualNumClasses() - Method in class weka.classifiers.trees.j48.Distribution

Returns number of classes actually occuring in distribution.

actualNumClasses(int) - Method in class weka.classifiers.trees.j48.Distribution

Returns number of classes actually occuring in given bag.

actualUpdateClassifier(Instance) - Method in class weka.classifiers.functions.Winnow

Actual update routine for prefiltered instances

actualUpdateClassifierBalanced(Instance) - Method in class weka.classifiers.functions.Winnow

Actual update routine (balanced) for prefiltered instances

acuityTipText() - Method in class weka.clusterers.Cobweb

Returns the tip text for this property

add(Object) - Method in class weka.associations.tertius.SimpleLinkedList

add(int, Instance) - Method in class weka.classifiers.trees.j48.Distribution

Adds given instance to given bag.

add(int, double[]) - Method in class weka.classifiers.trees.j48.Distribution

Adds counts to given bag.

add(Instance) - Method in class weka.core.Instances

Adds one instance to the end of the set.

add(Matrix) - Method in class weka.core.Matrix

Returns the sum of this matrix with another.

add(double, double) - Method in class weka.experiment.PairedStats

Add an observed pair of values.

add(Instance) - Method in class weka.experiment.PairedTTester.Dataset

Adds the given instance to the dataset

add(Instance) - Method in class weka.experiment.PairedTTester.DatasetSpecifiers

Add an instance to the list of specifiers (if necessary)

add(Instance) - Method in class weka.experiment.PairedTTester.Resultset

Adds an instance to this resultset

add(double) - Method in class weka.experiment.Stats

Adds a value to the observed values

add(double, double) - Method in class weka.experiment.Stats

Adds a value that has been seen n times to the observed values

add(String) - Method in class weka.gui.HierarchyPropertyParser

Add the given item of property to the tree

add(int) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine.MyList

add(HierarchicalBCEngine.MyListNode) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine.MyList

addActionListener(ActionListener) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel

Register a listener to be notified when plotting completes

addActionListener(ActionListener) - Method in class weka.gui.experiment.GeneratorPropertyIteratorPanel

Add a listener interested in kowing about editor status changes

addActionListener(ActionListener) - Method in class weka.gui.visualize.ClassPanel

Add an action listener that will be notified if the user changes the colour of a label

addActionListener(ActionListener) - Method in class weka.gui.visualize.VisualizePanel

Add a listener for this visualize panel

addAll(SimpleLinkedList) - Method in class weka.associations.tertius.SimpleLinkedList

addAllBeansToContainer(JComponent) - Static method in class weka.gui.beans.BeanInstance

Adds all beans to the supplied component

addAndUpdate(Rule) - Method in class weka.classifiers.rules.RuleStats

Add a rule to the ruleset and update the stats

addAttributePanelListener(AttributePanelListener) - Method in class weka.gui.visualize.AttributePanel

Add a listener to the list of things listening to this panel

addBatchClassifierListener(BatchClassifierListener) - Method in class weka.gui.beans.Classifier

Add a batch classifier listener

addBean(JComponent) - Method in class weka.gui.beans.BeanInstance

addBefore(Object) - Method in class weka.associations.tertius.SimpleLinkedList.LinkedListIterator

addCVParameter(String) - Method in class weka.classifiers.meta.CVParameterSelection

Adds a scheme parameter to the list of parameters to be set by cross-validation

addCancelListener(ActionListener) - Method in class weka.gui.GenericObjectEditor.GOEPanel

This is used to hook an action listener to the cancel button

addChartListener(ChartListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluator

Add a chart listener

addCheckBoxActionListener(ActionListener) - Method in class weka.gui.experiment.DistributeExperimentPanel

Enable objects to listen for changes to the check box

addChild(Splitter, ADTree) - Method in class weka.classifiers.trees.adtree.PredictionNode

Adds a child to this node.

addChild(Edge) - Method in class weka.gui.treevisualizer.Node

Set the value of children.

addChildNode(Cobweb.CNode) - Method in class weka.clusterers.Cobweb.CNode

Adds the supplied node as a child of this node.

addChildrenToTree(DefaultMutableTreeNode, HierarchyPropertyParser) - Method in class weka.gui.GenericObjectEditor

Recursively builds a JTree from an object heirarchy.

addComponent(int, int) - Method in class weka.gui.beans.KnowledgeFlow

addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.AbstractDataSource

Add a listener

addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.ClassAssigner

addDataSourceListener(DataSourceListener) - Method in interface weka.gui.beans.DataSource

Add a data source listener

addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Filter

Add a data source listener

addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Loader

Add a listener

addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.PredictionAppender

Add a datasource listener

addDistinct(double, int) - Method in class weka.core.AttributeStats

Updates the counters for one more observed distinct value.

addElement(Literal) - Method in class weka.associations.tertius.LiteralSet

Add a Literal to this set.

addElement(double) - Method in class weka.classifiers.functions.pace.DoubleVector

Adds an element into the vector

addElement(Object) - Method in class weka.core.FastVector

Adds an element to this vector.

addElement(int, int, double) - Method in class weka.core.Matrix

Add a value to an element.

addErrs(double, double, float) - Static method in class weka.classifiers.trees.j48.Stats

Computes estimated extra error for given total number of instances and error using normal approximation to binomial distribution (and continuity correction).

addExemplar(NNge.Exemplar) - Method in class weka.classifiers.rules.NNge

Adds an Exemplar in NNge's lists Ensure that the exemplar is not already in a list : the links would be broken...

addFirst(Object) - Method in class weka.associations.tertius.SimpleLinkedList

addGraphListener(GraphListener) - Method in class weka.gui.beans.Classifier

Add a graph listener

addIncrementalClassifierListener(IncrementalClassifierListener) - Method in class weka.gui.beans.Classifier

Add an incremental classifier listener

addInstWithUnknown(Instances, int) - Method in class weka.classifiers.trees.j48.Distribution

Adds all instances with unknown values for given attribute, weighted according to frequency of instances in each bag.

addInstance(Instance) - Method in class weka.classifiers.misc.HyperPipes.HyperPipe

Updates the bounds arrays with a single instance.

addInstance(Instance) - Method in class weka.clusterers.Cobweb.CNode

Adds an instance to this cluster.

addInstance(Instance) - Method in class weka.clusterers.Cobweb

Adds an instance to the Cobweb tree.

addInstanceListener(InstanceListener) - Method in class weka.gui.beans.AbstractDataSource

Add an instance listener

addInstanceListener(InstanceListener) - Method in class weka.gui.beans.ClassAssigner

addInstanceListener(InstanceListener) - Method in interface weka.gui.beans.DataSource

Add an instance listener

addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Filter

Add an instance listener

addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Loader

Add an instance listener

addInstanceListener(InstanceListener) - Method in class weka.gui.beans.PredictionAppender

Add an instance listener

addInstanceListener(InstanceListener) - Method in class weka.gui.streams.InstanceJoiner

addInstanceListener(InstanceListener) - Method in class weka.gui.streams.InstanceLoader

addInstanceListener(InstanceListener) - Method in interface weka.gui.streams.InstanceProducer

addInstanceNumberAttribute() - Method in class weka.gui.visualize.PlotData2D

Adds an instance number attribute to the plottable instances,

addInstances(Instances, Instances) - Method in class weka.classifiers.meta.Decorate

Add new instances to the given set of instances.

addLayoutCompleteEventListener(LayoutCompleteEventListener) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine

Method to add a LayoutCompleteEventListener

addLayoutCompleteEventListener(LayoutCompleteEventListener) - Method in interface weka.gui.graphvisualizer.LayoutEngine

This method adds a LayoutCompleteEventListener to the LayoutEngine.

addLiteral(Literal) - Method in class weka.associations.tertius.Predicate

addLocallyPredictive(BitSet) - Method in class weka.attributeSelection.CfsSubsetEval

addMissing(Instances, int, boolean, boolean) - Method in class weka.classifiers.CheckClassifier

Add missing values to a dataset.

addNewAlgorithm(Classifier) - Method in class weka.gui.experiment.AlgorithmListPanel

Add a new algorithm to the list.

addNode(NeuralConnection) - Method in class weka.classifiers.functions.MultilayerPerceptron

Call this function to place a node into the network list.

addNoise(Instances, int, int, int, boolean) - Method in class weka.filters.unsupervised.attribute.AddNoise

add noise to the dataset a given percentage of the instances are changed in the way, that a set of instances are randomly selected using seed.

addNumericTrainClass(double, double) - Method in class weka.classifiers.Evaluation

Adds a numeric (non-missing) training class value and weight to the buffer of stored values.

addObject(String, Object) - Method in class weka.gui.ResultHistoryPanel

Adds an object to the results list

addOkListener(ActionListener) - Method in class weka.gui.GenericObjectEditor.GOEPanel

This is used to hook an action listener to the ok button

addOne(int) - Method in class weka.datagenerators.BIRCHCluster.GridVector

addOne() - Method in class weka.datagenerators.BIRCHCluster.GridVector

addPlot(PlotData2D) - Method in class weka.gui.visualize.Plot2D

Add a plot to the list of plots to display

addPlot(PlotData2D) - Method in class weka.gui.visualize.VisualizePanel.PlotPanel

Adds a plot.

addPlot(PlotData2D) - Method in class weka.gui.visualize.VisualizePanel

Set a new plot to the visualize panel

addPopup() - Method in class weka.gui.LogPanel

Add a popup menu for displaying the amount of free memory and running the garbage collector

addPrediction(NominalPrediction) - Method in class weka.classifiers.evaluation.ConfusionMatrix

Includes a prediction in the confusion matrix.

addPredictions(FastVector) - Method in class weka.classifiers.evaluation.ConfusionMatrix

Includes a whole bunch of predictions in the confusion matrix.

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.CostMatrixEditor

Adds an object to the list of those that wish to be informed when the cost matrix changes.

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.GenericArrayEditor

Adds a PropertyChangeListener who will be notified of value changes.

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.GenericObjectEditor

Adds a PropertyChangeListener who will be notified of value changes.

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.PropertySheetPanel

Adds a PropertyChangeListener.

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.SetInstancesPanel

Adds a PropertyChangeListener who will be notified of value changes.

addPropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.AbstractDataSource

Add a property change listener to this bean

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.BeanVisual

Add a listener for property change events

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassAssignerCustomizer

Add a property change listener

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassifierCustomizer

Add a property change listener

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer

Add a property change listener

addPropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.DataVisualizer

Add a property change listener to this bean

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.FilterCustomizer

Add a property change listener

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.LoaderCustomizer

Add a property change listener

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.PredictionAppenderCustomizer

Add a property change listener

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.StripChartCustomizer

Add a property change listener

addPropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.TextViewer

Add a property change listener to this bean

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.TrainTestSplitMakerCustomizer

Add a property change listener

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SetupModePanel

Adds a PropertyChangeListener who will be notified of value changes.

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SetupPanel

Adds a PropertyChangeListener who will be notified of value changes.

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SimpleSetupPanel

Adds a PropertyChangeListener who will be notified of value changes.

addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.explorer.PreprocessPanel

Adds a PropertyChangeListener who will be notified of value changes.

addRange(int, Instances, int, int) - Method in class weka.classifiers.trees.j48.Distribution

Adds all instances in given range to given bag.

addReference(Instance) - Method in class weka.classifiers.trees.adtree.ReferenceInstances

Adds one instance reference to the end of the set.

addRemoteExperimentListener(RemoteExperimentListener) - Method in class weka.experiment.RemoteExperiment

Add an object to the list of those interested in recieving update information from the RemoteExperiment

addRemoteExperimentListener(RemoteExperimentListener) - Method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed

Add an object to the list of those interested in recieving update information from the RemoteExperiment

addRemoteHost(String) - Method in class weka.experiment.RemoteExperiment

Add a host name to the list of remote hosts

addRepaintNotify(Component) - Method in class weka.gui.visualize.ClassPanel

Adds a component that will need to be repainted if the user changes the colour of a label.

addRepaintNotify(Component) - Method in class weka.gui.visualize.LegendPanel

Adds a component that will need to be repainted if the user changes the colour of a label.

addResult(Rule) - Method in class weka.associations.Tertius

Add a rule in the appropriate place in the list of the results, according to the confirmation and number of counter-instances of the rule.

addResult(String, StringBuffer) - Method in class weka.gui.ResultHistoryPanel

Adds a new result to the result list.

addRule(Prism.PrismRule, Prism.PrismRule) - Method in class weka.classifiers.rules.Prism

Add a rule to the ruleset.

addStringValue(String) - Method in class weka.core.Attribute

Adds a string value to the list of valid strings for attributes of type STRING and returns the index of the string.

addStringValue(Attribute, int) - Method in class weka.core.Attribute

Adds a string value to the list of valid strings for attributes of type STRING and returns the index of the string.

addTaskToQueue(Task, String) - Method in class weka.experiment.RemoteEngine

Adds a new task to the queue.

addTermToBody(Literal) - Method in class weka.associations.tertius.Rule

Add a literal to the body of the rule.

addTermToHead(Literal) - Method in class weka.associations.tertius.Rule

Add a literal to the head of the rule.

addTest(Prism.PrismRule, Prism.Test, Prism.Test) - Method in class weka.classifiers.rules.Prism

Add a test to this rule.

addTest(Test) - Method in class weka.datagenerators.RDG1.RuleList

addTestSetListener(TestSetListener) - Method in class weka.gui.beans.AbstractTestSetProducer

Add a listener for test sets

addTestSetListener(TestSetListener) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer

Add a test set listener

addTestSetListener(TestSetListener) - Method in class weka.gui.beans.ClassAssigner

addTestSetListener(TestSetListener) - Method in class weka.gui.beans.Filter

Add a test set listener

addTestSetListener(TestSetListener) - Method in interface weka.gui.beans.TestSetProducer

Add a listener for test set events

addTextListener(TextListener) - Method in class weka.gui.beans.Classifier

Add a text listener

addTextListener(TextListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator

Add a text listener

addTextListener(TextListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluator

Add a text listener

addToCounts(Instance) - Method in class weka.classifiers.bayes.AODE

Puts an instance's values into m_CondiCounts, m_ClassCounts and m_SumInstances.

addToList(BitSet, double) - Method in class weka.attributeSelection.BestFirst.LinkedList2

adds an element (Link) to the list.

addToList(BitSet, double) - Method in class weka.classifiers.rules.DecisionTable.LinkedList

Aadds an element (Link) to the list.

addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer

Add a training set listener

addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.AbstractTrainingSetProducer

Add a training set listener

addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.ClassAssigner

addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.Filter

Add a training set listener

addTrainingSetListener(TrainingSetListener) - Method in interface weka.gui.beans.TrainingSetProducer

Add a training set listener

addUndoPoint() - Method in class weka.gui.explorer.PreprocessPanel

Backs up the current state of the dataset, so the changes can be undone.

addValue(double, double) - Method in class weka.classifiers.bayes.DiscreteEstimatorBayes

Add a new data value to the current estimator.

addValue(String) - Method in class weka.core.Attribute

Adds an attribute value.

addValue(double, double, double) - Method in interface weka.estimators.ConditionalEstimator

Add a new data value to the current estimator.

addValue(double, double, double) - Method in class weka.estimators.DDConditionalEstimator

Add a new data value to the current estimator.

addValue(double, double, double) - Method in class weka.estimators.DKConditionalEstimator

Add a new data value to the current estimator.

addValue(double, double, double) - Method in class weka.estimators.DNConditionalEstimator

Add a new data value to the current estimator.

addValue(double, double) - Method in class weka.estimators.DiscreteEstimator

Add a new data value to the current estimator.

addValue(double, double) - Method in interface weka.estimators.Estimator

Add a new data value to the current estimator.

addValue(double, double, double) - Method in class weka.estimators.KDConditionalEstimator

Add a new data value to the current estimator.

addValue(double, double, double) - Method in class weka.estimators.KKConditionalEstimator

Add a new data value to the current estimator.

addValue(double, double) - Method in class weka.estimators.KernelEstimator

Add a new data value to the current estimator.

addValue(double, double) - Method in class weka.estimators.MahalanobisEstimator

Add a new data value to the current estimator.

addValue(double, double, double) - Method in class weka.estimators.NDConditionalEstimator

Add a new data value to the current estimator.

addValue(double, double, double) - Method in class weka.estimators.NNConditionalEstimator

Add a new data value to the current estimator.

addValue(double, double) - Method in class weka.estimators.NormalEstimator

Add a new data value to the current estimator.

addValue(double, double) - Method in class weka.estimators.PoissonEstimator

Add a new data value to the current estimator.

addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.AbstractDataSource

Add a vetoable change listener to this bean

addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.DataVisualizer

Add a vetoable change listener to this bean

addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.TextViewer

Add a vetoable change listener to this bean

addWeights(Instance, double[]) - Method in class weka.classifiers.trees.j48.Distribution

Adds given instance to all bags weighting it according to given weights.

adjust(Instance, NNge.Exemplar) - Method in class weka.classifiers.rules.NNge

Adjust the NNge.

adjust(Attribute, ClassHierarchy) - Method in class weka.core.converters.HierarchicalCostMatrix

Adjusts the costMatrix for the given classes, and hierarchy, using the currently set multiplier.

adjustCenter(double) - Method in class weka.gui.treevisualizer.Node

Will increase or decrease the postion of center.

adjustWeightsTipText() - Method in class weka.filters.supervised.instance.SpreadSubsample

Returns the tip text for this property

advanceCounters() - Method in class weka.experiment.Experiment

Increments iteration counters appropriately.

advanceCounters() - Method in class weka.experiment.RemoteExperiment

overides the one in Experiment

aicEstimator - Static variable in class weka.classifiers.functions.PaceRegression

allocateInputs() - Method in class weka.classifiers.functions.neural.NeuralConnection

This will allocate more space for input connection information if the arrays for this have been filled up.

allocateInputs() - Method in class weka.classifiers.functions.neural.NeuralNode

This will allocate more space for input connection information if the arrays for this have been filled up.

allocateOutputs() - Method in class weka.classifiers.functions.neural.NeuralConnection

Allocates more space for output connection information if the arrays have been filled up.

alphaTipText() - Method in class weka.classifiers.bayes.BayesNet

alphaTipText() - Method in class weka.classifiers.functions.Winnow

Returns the tip text for this property

alterSyntax() - Method in class weka.gui.treevisualizer.TreeBuild

This is the alternative syntax for the tokenizer.

animateScaling(Dimension, Dimension, int) - Method in class weka.gui.treevisualizer.TreeVisualizer

This will increment the size and position of the tree towards the desired size and position a little (depending on the value of frames) everytime it is called.

appearanceDesign() - Method in class weka.gui.beans.AttributeSummarizer

appearanceDesign() - Method in class weka.gui.beans.DataVisualizer

appearanceDesign() - Method in class weka.gui.beans.Loader

appearanceDesign() - Method in class weka.gui.beans.ScatterPlotMatrix

appearanceDesign() - Method in class weka.gui.beans.TextViewer

appearanceFinal() - Method in class weka.gui.beans.AttributeSummarizer

appearanceFinal() - Method in class weka.gui.beans.DataVisualizer

appearanceFinal() - Method in class weka.gui.beans.Loader

appearanceFinal() - Method in class weka.gui.beans.ScatterPlotMatrix

appearanceFinal() - Method in class weka.gui.beans.TextViewer

append(Instances, Instances) - Method in class weka.classifiers.rules.Ridor.Ridor_node

Private function to combine two data

appendDescription(StringBuffer) - Method in class weka.classifiers.meta.HND

Appends a description of all children HNDs of this HND to the given description.

appendElements(FastVector) - Method in class weka.core.FastVector

Appends all elements of the supplied vector to this vector.

appendPredictedProbabilitiesTipText() - Method in class weka.gui.beans.PredictionAppender

Return a tip text suitable for displaying in a GUI

applyCostMatrix(Instances, Random) - Method in class weka.classifiers.CostMatrix

Applies the cost matrix to a set of instances.

applyFilter() - Method in class weka.gui.explorer.PreprocessPanel

Passes the dataset through the filter that has been configured for use.

applyFunction(double) - Method in class weka.filters.unsupervised.attribute.AddExpression.Operator

Apply this operator (function) to the supplied argument

applyOperator(double, double) - Method in class weka.filters.unsupervised.attribute.AddExpression.Operator

Apply this operator to the supplied arguments

arffFile_Tex - Variable in class weka.gui.streams.InstanceSavePanel

arrayFill(Node, TreeVisualizer.NodeInfo[], TreeVisualizer.EdgeInfo[]) - Method in class weka.gui.treevisualizer.TreeVisualizer

This will fill two arrays with the Nodes and Edges from the tree into a particular order.

arrayLeftDivide(Matrix) - Method in class weka.classifiers.functions.pace.Matrix

Element-by-element left division, C = A.

arrayLeftDivideEquals(Matrix) - Method in class weka.classifiers.functions.pace.Matrix

Element-by-element left division in place, A = A.

arrayRightDivide(Matrix) - Method in class weka.classifiers.functions.pace.Matrix

Element-by-element right division, C = A.

arrayRightDivideEquals(Matrix) - Method in class weka.classifiers.functions.pace.Matrix

Element-by-element right division in place, A = A.

arrayTimes(Matrix) - Method in class weka.classifiers.functions.pace.Matrix

Element-by-element multiplication, C = A.

arrayTimesEquals(Matrix) - Method in class weka.classifiers.functions.pace.Matrix

Element-by-element multiplication in place, A = A.

arrayToString(Object[]) - Static method in class weka.experiment.DatabaseUtils

Converts an array of objects to a string by inserting a space between each element.

artificialSizeTipText() - Method in class weka.classifiers.meta.Decorate

Returns the tip text for this property

as - Variable in class weka.gui.AttributeVisualizationPanel

assignClass(Instances) - Method in class weka.gui.beans.ClassAssigner

assignClusterNums(int[]) - Method in class weka.clusterers.Cobweb.CNode

Recursively assigns numbers to the nodes in the tree.

assignIDs(int) - Method in class weka.classifiers.trees.j48.ClassifierTree

Assigns a uniqe id to every node in the tree.

assignIDs(int) - Method in class weka.classifiers.trees.lmt.LMTNode

Assigns unique IDs to all nodes in the tree

assignIDs(int) - Method in class weka.classifiers.trees.m5.RuleNode

Assigns a unique identifier to each node in the tree

assignLeafModelNumbers(int) - Method in class weka.classifiers.trees.lmt.LMTNode

Assigns numbers to the logistic regression models at the leaves of the tree

assignLevels(int[], int, int, int) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine

This method assigns a vertical level to each node.

att - Variable in class weka.classifiers.rules.ConjunctiveRule.Antd

The attribute of the antecedent

att - Variable in class weka.classifiers.rules.JRip.Antd

att - Variable in class weka.classifiers.rules.Ridor.Antd

attIndex - Variable in class weka.classifiers.trees.adtree.TwoWayNominalSplit

The index of the attribute the split depends on

attIndex - Variable in class weka.classifiers.trees.adtree.TwoWayNumericSplit

The index of the attribute the split depends on

attIndex() - Method in class weka.classifiers.trees.j48.BinC45Split

Returns index of attribute for which split was generated.

attIndex() - Method in class weka.classifiers.trees.j48.C45Split

Returns index of attribute for which split was generated.

attIndexSetTipText() - Method in class weka.filters.unsupervised.attribute.AddNoise

Returns the tip text for this property

attr - Variable in class weka.classifiers.trees.m5.Impurity

attr - Variable in class weka.classifiers.trees.m5.Values

attrDistance(Instance, int) - Method in class weka.classifiers.rules.NNge.Exemplar

Compute the distance between the projection of inst and this Exemplar along the attribute attrIndex.

attrList(TreeBuild.InfoObject) - Method in class weka.gui.treevisualizer.TreeBuild

This will parse all the items in the attrib list for an object.

attrSplit(int, Instances) - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo

Finds the best splitting point for an attribute in the instances

attrSplit(int, Instances) - Method in interface weka.classifiers.trees.m5.SplitEvaluate

Finds the best splitting point for an attribute in the instances

attrSplit(int, Instances) - Method in class weka.classifiers.trees.m5.YongSplitInfo

Finds the best splitting point for an attribute in the instances

attrStmt() - Method in class weka.gui.treevisualizer.TreeBuild

This will deal specifically with a new object such as graph , node , edge.

attrTransProb(Instance, Instance, int) - Method in class weka.classifiers.lazy.KStar

Calculates the transformation probability of the indexed test attribute to the indexed train attribute.

attrWeight(int) - Method in class weka.classifiers.rules.NNge

returns the weight of indexth attribute

attribIndex - Variable in class weka.gui.AttributeVisualizationPanel

attribute(int) - Method in class weka.core.Instance

Returns the attribute with the given index.

attribute(int) - Method in class weka.core.Instances

Returns an attribute.

attribute(String) - Method in class weka.core.Instances

Returns an attribute given its name.

attributeCaseFix(String) - Method in class weka.experiment.DatabaseUtils

attributeEvaluatorTipText() - Method in class weka.attributeSelection.RaceSearch

Returns the tip text for this property

attributeEvaluatorTipText() - Method in class weka.attributeSelection.RankSearch

Returns the tip text for this property

attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.Add

Returns the tip text for this property

attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.MakeIndicator

attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues

attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.StringToNominal

attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.SwapValues

attributeIndexTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues

Returns the tip text for this property

attributeIndicesTipText() - Method in class weka.filters.supervised.attribute.Discretize

Returns the tip text for this property

attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries

Returns the tip text for this property

attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.Copy

Returns the tip text for this property

attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.Discretize

Returns the tip text for this property

attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.FirstOrder

Returns the tip text for this property

attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NumericTransform

Returns the tip text for this property

attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.Remove

Returns the tip text for this property

attributeList(BitSet) - Method in class weka.attributeSelection.BestFirst

converts a BitSet into a list of attribute indexes

attributeList(BitSet) - Method in class weka.attributeSelection.ExhaustiveSearch

converts a BitSet into a list of attribute indexes

attributeList(BitSet) - Method in class weka.attributeSelection.ForwardSelection

converts a BitSet into a list of attribute indexes

attributeList(BitSet) - Method in class weka.attributeSelection.GeneticSearch

converts a BitSet into a list of attribute indexes

attributeList(char[]) - Method in class weka.attributeSelection.RaceSearch

Convert an attribute set to an array of indices

attributeList(BitSet) - Method in class weka.attributeSelection.RandomSearch

converts a BitSet into a list of attribute indexes

attributeList(BitSet) - Method in class weka.attributeSelection.RankSearch

converts a BitSet into a list of attribute indexes

attributeNamePrefixTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector

Returns the tip text for this property

attributeNameTipText() - Method in class weka.filters.unsupervised.attribute.Add

Returns the tip text for this property

attributeNames() - Method in class weka.classifiers.functions.SMO

Returns the attribute names.

attributeSelectionChange(AttributePanelEvent) - Method in interface weka.gui.visualize.AttributePanelListener

Called when the user clicks on an attribute bar

attributeSelectionMethodTipText() - Method in class weka.classifiers.functions.LinearRegression

Returns the tip text for this property

attributeSparse(int) - Method in class weka.core.Instance

Returns the attribute with the given index.

attributeSparse(int) - Method in class weka.core.SparseInstance

Returns the attribute associated with the internal index.

attributeStats(int) - Method in class weka.core.Instances

Calculates summary statistics on the values that appear in this set of instances for a specified attribute.

attributeString(Instances) - Method in class weka.classifiers.trees.adtree.Splitter

Gets the string describing the attributes the split depends on.

attributeString(Instances) - Method in class weka.classifiers.trees.adtree.TwoWayNominalSplit

Gets the string describing the attributes the split depends on.

attributeString(Instances) - Method in class weka.classifiers.trees.adtree.TwoWayNumericSplit

Gets the string describing the attributes the split depends on.

attributeToDoubleArray(int) - Method in class weka.core.Instances

Gets the value of all instances in this dataset for a particular attribute.

attributeTypeTipText() - Method in class weka.filters.unsupervised.attribute.RemoveType

Returns the tip text for this property

attributeValueWeights(Instances, int) - Method in class weka.classifiers.trees.ADTree

Simultanously sum the weights of all attribute values for all instances.

attributeValuesString(Instance, Range) - Static method in class weka.classifiers.Evaluation

Builds a string listing the attribute values in a specified range of indices, separated by commas and enclosed in brackets.

attributeValuesString(Instance, Range) - Static method in class weka.clusterers.ClusterEvaluation

Builds a string listing the attribute values in a specified range of indices, separated by commas and enclosed in brackets.

attributes - Variable in class weka.attributeSelection.ConsistencySubsetEval.hashKey

Array of attribute values for an instance

attributes - Variable in class weka.classifiers.rules.DecisionTable.hashKey

Array of attribute values for an instance

attsTestedAbove() - Method in class weka.classifiers.trees.m5.RuleNode

Returns an array containing the indexes of attributes used in tests above this node

attsTestedBelow() - Method in class weka.classifiers.trees.m5.RuleNode

Returns an array containing the indexes of attributes used in tests below this node

attsToEliminatePerIterationTipText() - Method in class weka.attributeSelection.SVMAttributeEval

Returns a tip text for this property suitable for display in the GUI

autoBuildTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron

autoScale() - Method in class weka.gui.treevisualizer.TreeVisualizer

This Calculates the minimum size of the tree which will prevent any text overlapping and make it readable, and then set the size of the tree to this.

availableHost(int) - Method in class weka.experiment.RemoteExperiment

Pushes a host back onto the queue of available hosts and attempts to launch a waiting experiment (if any).

availableHost(int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed

Push a host back onto the list of available hosts and launch a waiting Task (if any).

avgCost() - Method in class weka.classifiers.Evaluation

Gets the average cost, that is, total cost of misclassifications (incorrect plus unclassified) over the total number of instances.

avgDocLength - Variable in class weka.filters.unsupervised.attribute.StringToWordVector

Contains the average length of documents (among the first batch of instances aka training data).

avgProb - Variable in class weka.classifiers.lazy.kstar.KStarWrapper

used/reused to hold the average transformation probability