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A

A - Class in meka.core
A.java - Handy array operations
A() - Constructor for class meka.core.A
 
abs(double[][]) - Static method in class meka.core.MatrixUtils
absolute value
AbstractClassifyResultHistoryPlugin - Class in meka.gui.explorer.classify
Ancestor for plugins that work .
AbstractClassifyResultHistoryPlugin() - Constructor for class meka.gui.explorer.classify.AbstractClassifyResultHistoryPlugin
 
AbstractClassifyTabMenuItem - Class in meka.gui.explorer.classify
Ancestor to classes that can be added to a classify tab's custom menu.
AbstractClassifyTabMenuItem() - Constructor for class meka.gui.explorer.classify.AbstractClassifyTabMenuItem
 
AbstractConfigurableExtensionFileFilterFileChooser<R,W> - Class in meka.gui.choosers
A specialized JFileChooser that lists all available file Readers and Writers for spreadsheets and allows the user to invoke an options dialog to customize the reader/writer.
AbstractConfigurableExtensionFileFilterFileChooser() - Constructor for class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Constructs a FileChooser pointing to the user's default directory.
AbstractConfigurableExtensionFileFilterFileChooser(File) - Constructor for class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Constructs a FileChooser using the given File as the path.
AbstractConfigurableExtensionFileFilterFileChooser(String) - Constructor for class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Constructs a FileChooser using the given path.
AbstractDatasetProvider - Class in meka.experiment.datasetproviders
Loads local files from disk.
AbstractDatasetProvider() - Constructor for class meka.experiment.datasetproviders.AbstractDatasetProvider
 
AbstractDeepNeuralNet - Class in meka.classifiers.multilabel.NN
AbstractDeepNeuralNet.java - Extends AbstractNeuralNet with depth options.
AbstractDeepNeuralNet() - Constructor for class meka.classifiers.multilabel.NN.AbstractDeepNeuralNet
 
AbstractEvaluationStatisticsExporter - Class in meka.experiment.statisticsexporters
Ancestor for statistics exporters.
AbstractEvaluationStatisticsExporter() - Constructor for class meka.experiment.statisticsexporters.AbstractEvaluationStatisticsExporter
 
AbstractEvaluationStatisticsHandler - Class in meka.experiment.evaluationstatistics
Ancestor for handlers.
AbstractEvaluationStatisticsHandler() - Constructor for class meka.experiment.evaluationstatistics.AbstractEvaluationStatisticsHandler
 
AbstractEvaluator - Class in meka.experiment.evaluators
Ancestor for evaluators.
AbstractEvaluator() - Constructor for class meka.experiment.evaluators.AbstractEvaluator
 
AbstractExperimenterMenuItem - Class in meka.gui.experimenter.menu
Ancestor for menu items to be displayed in the Experimenter menu.
AbstractExperimenterMenuItem() - Constructor for class meka.gui.experimenter.menu.AbstractExperimenterMenuItem
 
AbstractExperimenterTab - Class in meka.gui.experimenter
Ancestor for experimenter tabs.
AbstractExperimenterTab() - Constructor for class meka.gui.experimenter.AbstractExperimenterTab
 
AbstractExperimentFileHandler - Class in meka.experiment.filehandlers
Ancestor for experiment file handler classes.
AbstractExperimentFileHandler() - Constructor for class meka.experiment.filehandlers.AbstractExperimentFileHandler
 
AbstractExplorerTab - Class in meka.gui.explorer
Ancestor for tabs in the Explorer.
AbstractExplorerTab() - Constructor for class meka.gui.explorer.AbstractExplorerTab
 
AbstractExtensionFileFilterFileChooser<F extends weka.gui.ExtensionFileFilter> - Class in meka.gui.choosers
A specialized JFileChooser that lists all available file Readers and Writers for reports.
AbstractExtensionFileFilterFileChooser() - Constructor for class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
onstructs a FileChooser pointing to the user's default directory.
AbstractExtensionFileFilterFileChooser(File) - Constructor for class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
Constructs a FileChooser using the given File as the path.
AbstractExtensionFileFilterFileChooser(String) - Constructor for class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
Constructs a FileChooser using the given path.
AbstractFileBasedEvaluationStatisticsExporter - Class in meka.experiment.statisticsexporters
Ancestor for file-based statistics exporters.
AbstractFileBasedEvaluationStatisticsExporter() - Constructor for class meka.experiment.statisticsexporters.AbstractFileBasedEvaluationStatisticsExporter
 
AbstractFileBasedEvaluationStatisticsHandler - Class in meka.experiment.evaluationstatistics
Ancestor for file-base handlers.
AbstractFileBasedEvaluationStatisticsHandler() - Constructor for class meka.experiment.evaluationstatistics.AbstractFileBasedEvaluationStatisticsHandler
 
AbstractMeasurementEvaluationStatisticsExporter - Class in meka.experiment.statisticsexporters
Ancestor for classes that export a single statistic.
AbstractMeasurementEvaluationStatisticsExporter() - Constructor for class meka.experiment.statisticsexporters.AbstractMeasurementEvaluationStatisticsExporter
 
AbstractMenuItemDefinition - Class in meka.gui.guichooser
Defines menu items for the GUIChooser's menu.
AbstractMenuItemDefinition() - Constructor for class meka.gui.guichooser.AbstractMenuItemDefinition
 
AbstractMetaEvaluationStatisticsExporter - Class in meka.experiment.statisticsexporters
Wraps another exporter.
AbstractMetaEvaluationStatisticsExporter() - Constructor for class meka.experiment.statisticsexporters.AbstractMetaEvaluationStatisticsExporter
 
AbstractMetaEvaluator - Class in meka.experiment.evaluators
Ancestor for evaluators that wrap a base evaluator.
AbstractMetaEvaluator() - Constructor for class meka.experiment.evaluators.AbstractMetaEvaluator
 
AbstractMultiLabelClassifier - Class in meka.classifiers.multilabel
A Multilabel Classifier.
AbstractMultiLabelClassifier() - Constructor for class meka.classifiers.multilabel.AbstractMultiLabelClassifier
 
AbstractNeuralNet - Class in meka.classifiers.multilabel.NN
AbstractNeuralNet.java - Provides common options, constants, and other functions for NNs.
AbstractNeuralNet() - Constructor for class meka.classifiers.multilabel.NN.AbstractNeuralNet
 
AbstractObjectRenderer - Class in meka.gui.modelviewer.renderers
Ancestor for classes that render objects visually.
AbstractObjectRenderer() - Constructor for class meka.gui.modelviewer.renderers.AbstractObjectRenderer
 
AbstractRecentItemsHandler<M,T> - Class in meka.gui.core
Ancestor for classes that handle a list of recent items.
AbstractRecentItemsHandler(String, M) - Constructor for class meka.gui.core.AbstractRecentItemsHandler
Initializes the handler with a maximum of 5 items.
AbstractRecentItemsHandler(String, int, M) - Constructor for class meka.gui.core.AbstractRecentItemsHandler
Initializes the handler.
AbstractRecentItemsHandler(String, String, int, M) - Constructor for class meka.gui.core.AbstractRecentItemsHandler
Initializes the handler.
AbstractResultHistoryPlugin - Class in meka.gui.explorer
Ancestor for plugins that work .
AbstractResultHistoryPlugin() - Constructor for class meka.gui.explorer.AbstractResultHistoryPlugin
 
AbstractSetupTab - Class in meka.gui.experimenter
Ancestor for tabs that setup experiments.
AbstractSetupTab() - Constructor for class meka.gui.experimenter.AbstractSetupTab
 
AbstractShowThresholdCurve - Class in meka.gui.explorer.classify
Allows the user to display the threshold curves per label.
AbstractShowThresholdCurve() - Constructor for class meka.gui.explorer.classify.AbstractShowThresholdCurve
 
AbstractTabMenuItem<T extends AbstractExplorerTab> - Class in meka.gui.explorer
Ancestor to classes that can be added to a tab's custom menu.
AbstractTabMenuItem() - Constructor for class meka.gui.explorer.AbstractTabMenuItem
 
AbstractThreadedExplorerTab - Class in meka.gui.explorer
Supports long-running tasks in a separate thread.
AbstractThreadedExplorerTab() - Constructor for class meka.gui.explorer.AbstractThreadedExplorerTab
 
AbstractThreadedExplorerTab.WorkerThread - Class in meka.gui.explorer
For execution the long-running process.
ACCURACY - Static variable in class meka.gui.explorer.classify.IncrementalPerformance
 
ACCURACY - Static variable in class meka.gui.explorer.classify.ShowMacroCurve
 
ACCURACY - Static variable in class meka.gui.explorer.classify.ShowMicroCurve
 
actionPerformed(ActionEvent) - Method in class meka.gui.dataviewer.DataPanel
invoked when an action occurs
actionPerformed(ActionEvent) - Method in class meka.gui.dataviewer.DataViewerMainPanel
invoked when an action occurs
actionPerformed(ActionEvent) - Method in class meka.gui.goe.GenericObjectEditorDialog
Gets called when the one of the buttons in the GOE panel gets pressed.
activate(double[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARTCluster
 
activity_report - Variable in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkClass
 
activity_report - Variable in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
actuals - Variable in class meka.core.Result
 
add(double[][], double[][]) - Static method in class meka.core.MatrixUtils
 
add(double[][], double) - Static method in class meka.core.MatrixUtils
 
add(List<String>, char, int) - Static method in class meka.core.OptionUtils
Adds the int value to the options.
add(List<String>, String, int) - Static method in class meka.core.OptionUtils
Adds the int value to the options.
add(List<String>, char, long) - Static method in class meka.core.OptionUtils
Adds the long value to the options.
add(List<String>, String, long) - Static method in class meka.core.OptionUtils
Adds the long value to the options.
add(List<String>, char, float) - Static method in class meka.core.OptionUtils
Adds the float value to the options.
add(List<String>, String, float) - Static method in class meka.core.OptionUtils
Adds the float value to the options.
add(List<String>, char, double) - Static method in class meka.core.OptionUtils
Adds the double value to the options.
add(List<String>, String, double) - Static method in class meka.core.OptionUtils
Adds the double value to the options.
add(List<String>, char, String) - Static method in class meka.core.OptionUtils
Adds the String value to the options.
add(List<String>, String, String) - Static method in class meka.core.OptionUtils
Adds the String value to the options.
add(List<String>, char, boolean) - Static method in class meka.core.OptionUtils
Adds the boolean flag (if true) to the options.
add(List<String>, String, boolean) - Static method in class meka.core.OptionUtils
Adds the boolean flag (if true) to the options.
add(List<String>, char, File) - Static method in class meka.core.OptionUtils
Adds the File value to the options.
add(List<String>, String, File) - Static method in class meka.core.OptionUtils
Adds the File value to the options.
add(List<String>, char, OptionHandler) - Static method in class meka.core.OptionUtils
Adds the OptionHandler to the options.
add(List<String>, String, OptionHandler) - Static method in class meka.core.OptionUtils
Adds the OptionHandler to the options.
add(List<String>, char, Object) - Static method in class meka.core.OptionUtils
Adds the array to the options.
add(List<String>, String, Object) - Static method in class meka.core.OptionUtils
Adds the array to the options.
add(List<String>, String[]) - Static method in class meka.core.OptionUtils
Adds the "super" options to the current list.
add(Vector, Enumeration) - Static method in class meka.core.OptionUtils
Adds the option description of the super class.
add(Result, Object, String) - Method in class meka.gui.core.ResultHistory
Adds the item to the history.
addBias(double[]) - Static method in class meka.core.MatrixUtils
 
addBias(double[][]) - Static method in class meka.core.MatrixUtils
 
addBias(Matrix) - Static method in class meka.core.MatrixUtils
 
addChangeListener(ChangeListener) - Method in class meka.gui.dataviewer.DataPanel
Adds a ChangeListener to the panel
addChangeListener(ChangeListener) - Method in class meka.gui.dataviewer.DataTable
Adds a ChangeListener to the panel
addClassifier() - Method in class meka.gui.experimenter.BasicSetup
Lets the user add a classifier.
addClassifier() - Method in class meka.gui.experimenter.ExpertSetup
Lets the user add a classifier.
addDataset() - Method in class meka.gui.experimenter.BasicSetup
Lets the user add a dataset.
addElement(Result, Object, String) - Method in class meka.gui.core.ResultHistoryList.ResultHistoryModel
Adds the element to the history.
addExecutionStageListener(ExecutionStageListener) - Method in class meka.experiment.DefaultExperiment
Adds the execution stage listener.
addExecutionStageListener(ExecutionStageListener) - Method in interface meka.experiment.Experiment
Adds the execution stage listener.
addFlag(Vector, String, char) - Static method in class meka.core.OptionUtils
Adds an Option for a flag to the list of options.
addFlag(Vector, String, String) - Static method in class meka.core.OptionUtils
Adds an Option for a flag to the list of options.
addInstance() - Method in class meka.gui.dataviewer.DataPanel
Add an instance at the currently selected index.
addInstanceAtEnd() - Method in class meka.gui.dataviewer.DataPanel
Add an instance at the end of the dataset
addIterationNotificationListener(IterationNotificationListener) - Method in class meka.experiment.DefaultExperiment
Adds the iteration listener.
addIterationNotificationListener(IterationNotificationListener) - Method in interface meka.experiment.Experiment
Adds the iteration listener.
addLogListener(LogListener) - Method in class meka.events.LogObject
Adds the log listener to use.
addLogListener(LogListener) - Method in interface meka.events.LogSupporter
Adds the log listener to use.
addLogListener(LogListener) - Method in class meka.experiment.datasetproviders.MultiDatasetProvider
Adds the log listener to use.
addLogListener(LogListener) - Method in class meka.experiment.evaluators.AbstractMetaEvaluator
Adds the log listener to use.
addLogListener(LogListener) - Method in class meka.experiment.statisticsexporters.AbstractMetaEvaluationStatisticsExporter
Adds the log listener to use.
addLogListener(LogListener) - Method in class meka.experiment.statisticsexporters.MultiExporter
Adds the log listener to use.
addMouseListenerToHeader(JTable) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Adds a mouselistener to the header: left-click on the header sorts in ascending manner, using shift-left-click in descending manner.
addOption(Vector, String, String, char) - Static method in class meka.core.OptionUtils
Adds an Option for a flag to the list of options.
addOption(Vector, String, String, String) - Static method in class meka.core.OptionUtils
Adds an Option for a flag to the list of options.
addParameter(String, Component) - Method in class meka.gui.core.ParameterPanel
Adds the label and component as new row at the end.
addParameter(int, String, Component) - Method in class meka.gui.core.ParameterPanel
Inserts the label and component as new row at the specified row.
addRecentItem(T) - Method in class meka.gui.core.AbstractRecentItemsHandler
Adds the item to the internal list.
addRecentItemListener(RecentItemListener) - Method in class meka.gui.core.AbstractRecentItemsHandler
Adds the listener to the internal list.
addResult(double[], Instance) - Method in class meka.core.Result
AddResult - Add an entry.
addResult(Result, Object, String) - Method in class meka.gui.core.ResultHistoryList
Adds the element to the history.
addResultToHistory(Result, Object, String) - Method in class meka.gui.explorer.ClassifyTab
Adds the result to the history.
addsample(double[], int, double) - Method in class meka.classifiers.multilabel.neurofuzzy.ARTCluster
 
addSearchListener(SearchListener) - Method in class meka.gui.core.SearchPanel
Adds the specified listener to the internal list of listeners.
addStatisticsNotificationListener(StatisticsNotificationListener) - Method in class meka.experiment.DefaultExperiment
Adds the statistics listener.
addStatisticsNotificationListener(StatisticsNotificationListener) - Method in interface meka.experiment.Experiment
Adds the statistics listener.
addTableModelListener(TableModelListener) - Method in class meka.gui.dataviewer.DataSortedTableModel
adds a listener to the list that is notified each time a change to data model occurs
addTableModelListener(TableModelListener) - Method in class meka.gui.dataviewer.DataTableModel
adds a listener to the list that is notified each time a change to data model occurs
addToButtonsPanel(Component) - Method in class meka.gui.core.MekaPanelWithButtons
Adds the component to the panel with the buttons.
addToWidgetsPanel(Component, int) - Method in class meka.gui.core.SearchPanel
Adds the component to the panel with the Widgets.
addToWidgetsPanel(Component) - Method in class meka.gui.core.SearchPanel
Adds the component to the panel with the Widgets.
addUndoPoint() - Method in class meka.gui.dataviewer.DataPanel
adds the current state of the instances to the undolist
addUndoPoint() - Method in class meka.gui.dataviewer.DataSortedTableModel
adds an undo point to the undo history
addUndoPoint() - Method in class meka.gui.dataviewer.DataTableModel
adds an undo point to the undo history, if the undo support is enabled
addUndoPoint() - Method in class meka.gui.explorer.Explorer
Adds an undo point.
afterHide() - Method in class meka.gui.core.MekaDialog
Hook method just after the dialog was hidden.
afterHide() - Method in class meka.gui.core.MekaFrame
Hook method just after the dialog was hidden.
afterShow() - Method in class meka.gui.core.MekaDialog
Hook method just after the dialog was made visible.
afterShow() - Method in class meka.gui.core.MekaFrame
Hook method just after the dialog was made visible.
aggregate(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.AbstractMeasurementEvaluationStatisticsExporter
Aggregates the stats and returns the "mean".
aggregate(List<EvaluationStatistics>) - Method in interface meka.experiment.statisticsexporters.AggregatedEvaluationStatisticsExporter
Aggregates the statistics and returns these.
aggregate(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Aggregates the statistics and returns these.
AggregatedEvaluationStatisticsExporter - Interface in meka.experiment.statisticsexporters
Interface for statistics exporter that aggregate their data first.
aggregationKeysTipText() - Method in interface meka.experiment.statisticsexporters.AggregatedEvaluationStatisticsExporter
Describes this property.
aggregationKeysTipText() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Describes this property.
align(int[], int[]) - Static method in class meka.core.Metrics
Helper function for missing values in the labels and missing predictions (i.e., from abstaining classifiers).
align(int[], double[]) - Static method in class meka.core.Metrics
Helper function for missing values in the labels and missing predictions (i.e., from abstaining classifiers).
ALL - Static variable in class meka.core.ThreadUtils
whether to use all available cores.
allMissing(int[]) - Static method in class meka.core.Metrics
Helper function for missing values in the labels.
allPredictions() - Method in class meka.core.Result
AllPredictions - Retrieve all prediction confidences in an L * N matrix (2d array).
allPredictions(double) - Method in class meka.core.Result
AllPredictions - Retrieve all predictions (according to threshold t) in an L * N matrix.
allTrueValues() - Method in class meka.core.Result
AllTrueValues - Retrieve all true values in an L x N matrix.
Animation(JLabel, int) - Constructor for class meka.gui.core.StatusBar.Animation
Initializes the runnable.
append(int, Double) - Method in class meka.classifiers.multilabel.neurofuzzy.SparseArray
Puts a key/value pair into the array, optimizing for the case where the key is greater than all existing keys in the array.
append(int[], int) - Static method in class meka.core.A
 
append(List<EvaluationStatistics>) - Method in interface meka.experiment.evaluationstatistics.IncrementalEvaluationStatisticsHandler
Adds the given statistics.
append(List<EvaluationStatistics>) - Method in class meka.experiment.evaluationstatistics.KeyValuePairs
Adds the given statistics.
apply() - Method in class meka.gui.experimenter.AbstractSetupTab
Applies the settings to the experiment.
ApprovalDialog - Class in meka.gui.core
Base class for approval dialogs, i.e., dialogs that require the user to click on Yes, No or Cancel.
ApprovalDialog() - Constructor for class meka.gui.core.ApprovalDialog
Creates a modeless dialog without a title and without a specified Frame owner.
ApprovalDialog(Dialog) - Constructor for class meka.gui.core.ApprovalDialog
Creates a modeless dialog without a title with the specified Dialog as its owner.
ApprovalDialog(Dialog, Dialog.ModalityType) - Constructor for class meka.gui.core.ApprovalDialog
Creates a dialog with the specified owner Dialog and modality.
ApprovalDialog(Dialog, String) - Constructor for class meka.gui.core.ApprovalDialog
Creates a modeless dialog with the specified title and with the specified owner dialog.
ApprovalDialog(Dialog, String, Dialog.ModalityType) - Constructor for class meka.gui.core.ApprovalDialog
Creates a dialog with the specified title, modality and the specified owner Dialog.
ApprovalDialog(Frame) - Constructor for class meka.gui.core.ApprovalDialog
Creates a modeless dialog without a title with the specified Frame as its owner.
ApprovalDialog(Frame, boolean) - Constructor for class meka.gui.core.ApprovalDialog
Creates a dialog with the specified owner Frame, modality and an empty title.
ApprovalDialog(Frame, String) - Constructor for class meka.gui.core.ApprovalDialog
Creates a modeless dialog with the specified title and with the specified owner frame.
ApprovalDialog(Frame, String, boolean) - Constructor for class meka.gui.core.ApprovalDialog
Creates a dialog with the specified owner Frame, modality and title.
APPROVE_OPTION - Static variable in class meka.gui.core.ApprovalDialog
the approve option.
APPROVE_OPTION - Static variable in class meka.gui.dataviewer.DataViewerDialog
Signifies an OK property selection
APPROVE_OPTION - Static variable in class meka.gui.goe.GenericObjectEditorDialog
constant for dialog approval.
ARAMm_Ranking2Class(double[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
 
ARAMm_Ranking2Class(double[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkfast
 
ARAMm_Ranking2Class(double[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparse
 
ARAMm_Ranking2Class(double[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseH
 
ARAMm_Ranking2Class(double[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT
 
ARAMm_Ranking2Class(double[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT_Strange
 
ARAMm_Ranking2Class(double[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseV
 
ARAMm_Ranking2Class(double[]) - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
 
ARAMm_Ranking2Class(double[]) - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
 
ARAMm_Ranking2Class(double[]) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
ARAMNetwork - Class in meka.classifiers.multilabel.neurofuzzy
****REPLACE THE FOLLOWING WITH SIMILAR INFORMATION.
ARAMNetwork(int, int, double, double) - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
 
ARAMNetwork() - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
 
ARAMNetworkClass - Class in meka.classifiers.multilabel.neurofuzzy
****REPLACE THE FOLLOWING WITH SIMILAR INFORMATION.
ARAMNetworkClass() - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkClass
 
ARAMNetworkfast - Class in meka.classifiers.multilabel.neurofuzzy
****REPLACE THE FOLLOWING WITH SIMILAR INFORMATION.
ARAMNetworkfast(int, int, double, double) - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkfast
 
ARAMNetworkfast() - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkfast
 
ARAMNetworkSparse - Class in meka.classifiers.multilabel.neurofuzzy
****REPLACE THE FOLLOWING WITH SIMILAR INFORMATION.
ARAMNetworkSparse(int, int, double, double) - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparse
 
ARAMNetworkSparse() - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparse
 
ARAMNetworkSparseH - Class in meka.classifiers.multilabel.neurofuzzy
****REPLACE THE FOLLOWING WITH SIMILAR INFORMATION.
ARAMNetworkSparseH(int, int, double, double) - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseH
 
ARAMNetworkSparseH() - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseH
 
ARAMNetworkSparseHT - Class in meka.classifiers.multilabel.neurofuzzy
****REPLACE THE FOLLOWING WITH SIMILAR INFORMATION.
ARAMNetworkSparseHT(int, int, double, double) - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT
 
ARAMNetworkSparseHT() - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT
 
ARAMNetworkSparseHT_Strange - Class in meka.classifiers.multilabel.neurofuzzy
****REPLACE THE FOLLOWING WITH SIMILAR INFORMATION.
ARAMNetworkSparseHT_Strange(int, int, double, double) - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT_Strange
 
ARAMNetworkSparseHT_Strange() - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT_Strange
 
ARAMNetworkSparseV - Class in meka.classifiers.multilabel.neurofuzzy
****REPLACE THE FOLLOWING WITH SIMILAR INFORMATION.
ARAMNetworkSparseV(int, int, double, double) - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseV
 
ARAMNetworkSparseV() - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseV
 
argmax(double[]) - Static method in class meka.core.A
Argmax
argmax(HashMap<?, Integer>) - Static method in class meka.core.MLUtils
maxItem - argmax function for a HashMap NOTE: same as above, but for integer (TODO: do something more clever than this)
ARTCluster - Class in meka.classifiers.multilabel.neurofuzzy
 
ARTCluster(int, double) - Constructor for class meka.classifiers.multilabel.neurofuzzy.ARTCluster
 
attributeAsClass() - Method in class meka.gui.dataviewer.DataPanel
sets the current attribute as class attribute, i.e.
attributeAsClass() - Method in class meka.gui.dataviewer.DataViewerMainPanel
sets the current selected Attribute as class attribute, i.e.
attributeAsClassAt(int) - Method in class meka.gui.dataviewer.DataSortedTableModel
sets the attribute at the given col index as the new class attribute
attributeAsClassAt(int) - Method in class meka.gui.dataviewer.DataTableModel
sets the attribute at the given col index as the new class attribute, i.e.
attributeIndicesTipText() - Method in class meka.filters.unsupervised.attribute.MekaClassAttributes
Returns the tip text for this property
AttributeSelectionPanel - Class in meka.gui.components
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 meka.gui.components.AttributeSelectionPanel
Creates the attribute selection panel with no initial instances.
AttributeSelectionPanel(boolean, boolean, boolean, boolean) - Constructor for class meka.gui.components.AttributeSelectionPanel
Creates the attribute selection panel with no initial instances.
AttributeSelectionPanel.CellRenderer - Class in meka.gui.components
Cell renderer for the attributes.
attSizePercentTipText() - Method in class meka.classifiers.multilabel.meta.RandomSubspaceML
 
availableMetrics() - Method in class meka.core.Result
Return the set of metrics for which measurements are available.
averageResults(Result[]) - Static method in class meka.core.MLEvalUtils
Deprecated.

B

backPropagate(double[][], double[][]) - Method in class meka.classifiers.multilabel.BPNN
Back Propagate - Do one round of Back Propagation on batch X_,Y_.
backQuoteChars(String, char[], String[]) - Static method in class meka.core.OptionUtils
Converts specified characters into the string equivalents.
backQuoteChars(String) - Static method in class meka.core.OptionUtils
Converts carriage returns and new lines in a string into \r and \n.
backupModelSettings(TableModel) - Method in class meka.gui.core.SortableAndSearchableTable
Backs up the settings from the old model.
BaggingML - Class in meka.classifiers.multilabel.meta
BaggingML.java - Combining several multi-label classifiers using Bootstrap AGGregatING.
BaggingML() - Constructor for class meka.classifiers.multilabel.meta.BaggingML
 
BaggingMLdup - Class in meka.classifiers.multilabel.meta
BaggingMLdup.java - A version of BaggingML where Instances are duplicated instead of assigned higher weighs.
BaggingMLdup() - Constructor for class meka.classifiers.multilabel.meta.BaggingMLdup
 
BaggingMLUpdateable - Class in meka.classifiers.multilabel.incremental.meta
BaggingMLUpdatable.java - Using the OzaBag scheme (see OzaBag.java from MOA)).
BaggingMLUpdateable() - Constructor for class meka.classifiers.multilabel.incremental.meta.BaggingMLUpdateable
 
BaggingMT - Class in meka.classifiers.multitarget.meta
BaggingMT.java - The Multi-Target Version of BaggingML.
BaggingMT() - Constructor for class meka.classifiers.multitarget.meta.BaggingMT
 
bagSizePercentTipText() - Method in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
 
BasicSetup - Class in meka.gui.experimenter
Tab for setting up a basic experiment.
BasicSetup() - Constructor for class meka.gui.experimenter.BasicSetup
 
batch - Variable in class meka.classifiers.multilabel.incremental.PSUpdateable
 
BayesNet - Static variable in interface meka.core.MultiLabelDrawable
 
BCC - Class in meka.classifiers.multilabel
BCC.java - Bayesian Classifier Chains.
BCC() - Constructor for class meka.classifiers.multilabel.BCC
 
BCC - Class in meka.classifiers.multitarget
 
BCC() - Constructor for class meka.classifiers.multitarget.BCC
 
beforeHide() - Method in class meka.gui.core.MekaDialog
Hook method just before the dialog is hidden.
beforeHide() - Method in class meka.gui.core.MekaFrame
Hook method just before the dialog is hidden.
beforeShow() - Method in class meka.gui.core.ApprovalDialog
Hook method just before the dialog is made visible.
beforeShow() - Method in class meka.gui.core.MekaDialog
Hook method just before the dialog is made visible.
beforeShow() - Method in class meka.gui.core.MekaFrame
Hook method just before the dialog is made visible.
beforeShow() - Method in class meka.gui.goe.GenericObjectEditorDialog
Hook method just before the dialog is made visible.
betaTipText() - Method in class meka.classifiers.multilabel.PMCC
 
bitCount(String) - Static method in class meka.core.MLUtils
 
bitDifference(String, String) - Static method in class meka.core.MLUtils
 
bitDifference(String[], String[]) - Static method in class meka.core.MLUtils
 
bitDifference(int[], int[]) - Static method in class meka.core.MLUtils
 
BPNN - Class in meka.classifiers.multilabel
BPNN.java - Back Propagation Neural Network.
BPNN() - Constructor for class meka.classifiers.multilabel.BPNN
 
BR - Class in meka.classifiers.multilabel
 
BR() - Constructor for class meka.classifiers.multilabel.BR
 
BRq - Class in meka.classifiers.multilabel
BRq.java - Random Subspace ('quick') Version.
BRq() - Constructor for class meka.classifiers.multilabel.BRq
 
BRUpdateable - Class in meka.classifiers.multilabel.incremental
BRUpdateable.java - Updateable BR.
BRUpdateable() - Constructor for class meka.classifiers.multilabel.incremental.BRUpdateable
 
build(Instances, Classifier) - Method in class meka.classifiers.multilabel.cc.CNode
Build - Create transformation for this node, and train classifier of type H upon it.
buildCC(int[], Instances) - Method in class meka.classifiers.multilabel.PMCC
BuildCC - Build a CC of chain-order 's' on dataset 'D'.
buildCC(int[], Instances, Classifier) - Static method in class meka.core.CCUtils
BuildCC - Given a base classifier 'g', build a new CC classifier on data D, given chain order 'chain'.
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.AbstractMultiLabelClassifier
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.BCC
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.BPNN
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.BR
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.BRq
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.CC
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.CCq
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.CDN
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.CDT
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.CT
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.DBPNN
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.FW
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.HASEL
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.incremental.CCUpdateable
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.incremental.meta.BaggingMLUpdateable
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.incremental.PSUpdateable
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.LabelTransformationClassifier
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.LC
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.MajorityLabelset
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.MCC
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.meta.BaggingML
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.meta.BaggingMLdup
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.meta.CM
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.meta.DeepML
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.meta.EM
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.meta.EnsembleML
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.meta.MBR
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.meta.RandomSubspaceML
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.meta.SubsetMapper
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.MULAN
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
Generates the classifier.
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkfast
Generates the classifier.
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparse
Generates the classifier.
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseH
Generates the classifier.
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT
Generates the classifier.
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT_Strange
Generates the classifier.
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseV
Generates the classifier.
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
Generates the classifier.
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
Generates the classifier.
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
Generates the classifier.
BuildClassifier(ARAMNetworkClass) - Constructor for class meka.classifiers.multilabel.neurofuzzy.WvARAM.BuildClassifier
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.PMCC
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.ProblemTransformationMethod
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.PS
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.RAkEL
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.RAkELd
 
buildClassifier(Instances) - Method in class meka.classifiers.multilabel.RT
 
buildClassifier(Instances) - Method in class meka.classifiers.multitarget.CCp
 
buildClassifier(Instances) - Method in class meka.classifiers.multitarget.CR
 
buildClassifier(Instances) - Method in class meka.classifiers.multitarget.NSR
 
buildClassifier(Instances) - Method in class meka.classifiers.multitarget.RAkELd
 
buildClassifier(Instances) - Method in class meka.classifiers.multitarget.SCC
 

C

calcColumnWidth(int) - Method in class meka.gui.core.JTableHelper
calcs the optimal column width of the given column.
calcColumnWidth(JTable, int) - Static method in class meka.gui.core.JTableHelper
Calculates the optimal width for the column of the given table.
calcHeaderWidth(int) - Method in class meka.gui.core.JTableHelper
calcs the optimal header width of the given column.
calcHeaderWidth(JTable, int) - Static method in class meka.gui.core.JTableHelper
Calculates the optimal width for the header of the given table.
calculateError(Matrix) - Method in class rbms.RBM
Calculate the Error right now.
calibrateThreshold(ArrayList<double[]>, double) - Static method in class meka.core.ThresholdUtils
CalibrateThreshold - Calibrate a threshold using PCut: the threshold which results in the best approximation of the label cardinality of the training set.
calibrateThresholds(ArrayList<double[]>, double[]) - Static method in class meka.core.ThresholdUtils
CalibrateThreshold - Calibrate a vector of thresholds (one for each label) using PCut: the threshold t[j] which results in the best approximation of the frequency of the j-th label in the training data.
call() - Method in class meka.experiment.evaluators.EvaluatorJob
Performs the evaluation and stores the results.
CANCEL_OPTION - Static variable in class meka.gui.core.ApprovalDialog
the cancel option.
CANCEL_OPTION - Static variable in class meka.gui.dataviewer.DataViewerDialog
Signifies a cancelled property selection
CANCEL_OPTION - Static variable in class meka.gui.goe.GenericObjectEditorDialog
constant for dialog cancellation.
canPasteFromClipboard(DataFlavor) - Static method in class meka.gui.core.GUIHelper
Checks whether the specified "flavor" can be obtained from the clipboard.
canPasteStringFromClipboard() - Static method in class meka.gui.core.GUIHelper
Checks whether a string can be obtained from the clipboard.
canUndo() - Method in class meka.gui.dataviewer.DataPanel
returns whether an undo is possible
canUndo() - Method in class meka.gui.dataviewer.DataSortedTableModel
returns whether an undo is possible, i.e.
canUndo() - Method in class meka.gui.dataviewer.DataTableModel
returns whether an undo is possible, i.e.
canUndo() - Method in class meka.gui.explorer.Explorer
Returns whether any operations can be undone currently.
CC - Class in meka.classifiers.multilabel
CC.java - The Classifier Chains Method.
CC() - Constructor for class meka.classifiers.multilabel.CC
 
CC - Class in meka.classifiers.multitarget
 
CC() - Constructor for class meka.classifiers.multitarget.CC
 
CCp - Class in meka.classifiers.multitarget
CCp.java - Multitarget CC with probabilistic output.
CCp() - Constructor for class meka.classifiers.multitarget.CCp
 
CCp.Link - Class in meka.classifiers.multitarget
 
CCq - Class in meka.classifiers.multilabel
The Classifier Chains Method - Random Subspace ('quick') Version.
CCq() - Constructor for class meka.classifiers.multilabel.CCq
 
CCq.QLink - Class in meka.classifiers.multilabel
 
CCUpdateable - Class in meka.classifiers.multilabel.incremental
CCUpdateable.java - Updateable version of CC.
CCUpdateable() - Constructor for class meka.classifiers.multilabel.incremental.CCUpdateable
 
CCUpdateable.ULink - Class in meka.classifiers.multilabel.incremental
 
CCUtils - Class in meka.core
CCUtils.java - Handy Utils for working with Classifier Chains (and Trees and Graphs)
CCUtils() - Constructor for class meka.core.CCUtils
 
CDN - Class in meka.classifiers.multilabel
CDN.java - Conditional Dependency Networks.
CDN() - Constructor for class meka.classifiers.multilabel.CDN
 
CDT - Class in meka.classifiers.multilabel
CDT.java - Conditional Dependency Trellis.
CDT() - Constructor for class meka.classifiers.multilabel.CDT
 
ceil(Key) - Method in class meka.classifiers.multilabel.neurofuzzy.ST
Returns the smallest key in the symbol table greater than or equal to key.
CellRenderer() - Constructor for class meka.gui.components.AttributeSelectionPanel.CellRenderer
 
chainIterationsTipText() - Method in class meka.classifiers.multilabel.MCC
 
char2int(char) - Static method in class meka.core.MLUtils
 
check(T) - Method in class meka.gui.core.AbstractRecentItemsHandler
Checks the item after obtaining from the props file.
check(File) - Method in class meka.gui.core.RecentFilesHandler
Checks the item after obtaining from the props file.
check(RecentFilesHandlerWithCommandline.Setup) - Method in class meka.gui.core.RecentFilesHandlerWithCommandline
Checks the item after obtaining from the props file.
check() - Method in class meka.gui.core.RecentFilesHandlerWithCommandline.Setup
Performs a check whether this setup is valid.
chi2(Instances, int, int) - Static method in class meka.core.StatUtils
Chi^2 - Do the chi-squared test on the j-th and k-th labels in Y.
chi2(Instances) - Static method in class meka.core.StatUtils
Chi^2 - Do the chi-squared test on all pairs of labels.
chi2(double[][][], double[][][]) - Static method in class meka.core.StatUtils
Chi^2 - Chi-squared test.
classCombinationCounts(Instances) - Static method in class meka.core.MLUtils
ClassCombinationCounts - multi-target version of countCombinations(...).
classFreqs - Variable in class meka.classifiers.multilabel.MajorityLabelset
 
classifiers(List<EvaluationStatistics>, boolean) - Static method in class meka.experiment.evaluationstatistics.EvaluationStatisticsUtils
Returns all the unique classifiers of all the statistics.
classifiersTipText() - Method in class meka.experiment.DefaultExperiment
Describes this property.
classifiersTipText() - Method in interface meka.experiment.Experiment
Describes this property.
classify(Instance, double[]) - Method in class meka.classifiers.multilabel.cc.CNode
Return the argmax on #distribution(Instance, double[]).
classify(Instance) - Method in class meka.classifiers.multilabel.incremental.CCUpdateable.ULink
 
classify(Instance) - Method in class meka.classifiers.multitarget.CCp.Link
 
classifyInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
Classifies the given test instance.
classifyInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkfast
Classifies the given test instance.
classifyInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparse
Classifies the given test instance.
classifyInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseH
Classifies the given test instance.
classifyInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT
Classifies the given test instance.
classifyInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT_Strange
Classifies the given test instance.
classifyInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseV
Classifies the given test instance.
classifyInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
Classifies the given test instance.
classifyInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
Classifies the given test instance.
classifyInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
Classifies the given test instance.
ClassifyTab - Class in meka.gui.explorer
Simple panel for performing classification.
ClassifyTab() - Constructor for class meka.gui.explorer.ClassifyTab
 
ClassifyTab.HistoryCustomizer - Class in meka.gui.explorer
Customizer for the history's popup menu.
ClassifyTabOptions - Class in meka.gui.explorer
Panel for options for classification.
ClassifyTabOptions() - Constructor for class meka.gui.explorer.ClassifyTabOptions
 
clear() - Method in class meka.classifiers.multilabel.neurofuzzy.SparseArray
Removes all key-value mappings from this SparseArray.
clear() - Method in class meka.gui.core.ResultHistory
Empties the history.
clear() - Method in class meka.gui.core.ResultHistoryList.ResultHistoryModel
Clears the history.
clear() - Method in class meka.gui.experimenter.AbstractSetupTab
Resets the interface.
clear() - Method in class meka.gui.experimenter.BasicSetup
Resets the interface.
clear() - Method in class meka.gui.experimenter.ExpertSetup
Resets the interface.
clear() - Method in class meka.gui.experimenter.LogTab
Removes the logging content.
clear() - Method in class meka.gui.explorer.LogTab
Removes the logging content.
clearButtonsPanel() - Method in class meka.gui.core.MekaPanelWithButtons
Removes all components from the panel holding the buttons.
clearLabels(Instance) - Static method in class meka.core.MLUtils
Clear Labels -- set the value of all label attributes to 0.0
clearParameters() - Method in class meka.gui.core.ParameterPanel
Removes all parameters.
clearSearch() - Method in class meka.gui.core.SearchPanel
Clears a previous search if the last search term had a non-zero length.
clearSearch() - Method in class meka.gui.dataviewer.DataPanel
clears the search, i.e.
clearSearch() - Method in class meka.gui.dataviewer.DataViewerMainPanel
clears the search, i.e.
clearStatus() - Method in class meka.gui.core.StatusBar
Clears status message.
clearStatus() - Method in class meka.gui.experimenter.AbstractExperimenterTab
Clears status message.
clearStatus() - Method in class meka.gui.explorer.AbstractExplorerTab
Clears status message.
clearUndo() - Method in class meka.gui.dataviewer.DataPanel
removes the undo history
clearUndo() - Method in class meka.gui.dataviewer.DataSortedTableModel
removes the undo history
clearUndo() - Method in class meka.gui.dataviewer.DataTableModel
removes the undo history
clearWidgetsPanel() - Method in class meka.gui.core.SearchPanel
Removes all components from the panel holding the Widgets.
clone() - Method in class meka.classifiers.multilabel.neurofuzzy.SparseArray
 
close() - Method in class meka.gui.dataviewer.DataViewerMainPanel
closes the window, i.e., if the parent is not null and implements the WindowListener interface it calls the windowClosing method
close() - Method in class meka.gui.experimenter.Experimenter
Closes the experimenter.
close() - Method in class meka.gui.explorer.Explorer
Closes the explorer.
close() - Method in class meka.gui.guichooser.GUIChooser
Closes the application.
close() - Method in class meka.gui.modelviewer.ModelViewer
Closes the viewer.
closeAllFiles() - Method in class meka.gui.dataviewer.DataViewerMainPanel
closes all open files
closeFile() - Method in class meka.gui.dataviewer.DataViewerMainPanel
closes the current tab
closeFile(boolean) - Method in class meka.gui.dataviewer.DataViewerMainPanel
closes the current tab
closeParent() - Method in class meka.gui.core.MekaPanel
Closes the parent dialog/frame.
closeQuietly(InputStream) - Static method in class meka.core.FileUtils
Closes the stream, if possible, suppressing any exception.
closeQuietly(OutputStream) - Static method in class meka.core.FileUtils
Closes the stream, if possible, suppressing any exception.
closeQuietly(Reader) - Static method in class meka.core.FileUtils
Closes the reader, if possible, suppressing any exception.
closeQuietly(Writer) - Static method in class meka.core.FileUtils
Closes the writer, if possible, suppressing any exception.
CM - Class in meka.classifiers.multilabel.meta
CM.java - Classification Maximization using any multi-label classifier.
CM() - Constructor for class meka.classifiers.multilabel.meta.CM
 
CNode - Class in meka.classifiers.multilabel.cc
CNode.java - A Classifier Node class (for CC-like clasifiers).
CNode(int, int[], int[]) - Constructor for class meka.classifiers.multilabel.cc.CNode
CNode - A Node 'j', taking inputs from all parents inX and paY.
colConfidence(int) - Method in class meka.core.Result
ColConfidence - Retrieve the prediction confidences for the j-th label (column).
collapse(Properties) - Static method in class meka.core.PropsUtils
Collapses all the inherited and current properties into a single Properties object and returns it.
combinations - Variable in class meka.classifiers.multilabel.incremental.PSUpdateable
 
combineInstances(Instances, Instances) - Static method in class meka.core.MLUtils
Stack two Instances together row-wise.
combinePredictions(Result[]) - Static method in class meka.core.MLEvalUtils
Combine Predictions - Combine together various results (for example, from cross-validation) into one, simply by appending predictions and true values together, and averaging together their 'vals'.
CombineStatisticsFiles - Class in meka.gui.experimenter.menu
Allows the user to combine several statistics files into one.
CombineStatisticsFiles() - Constructor for class meka.gui.experimenter.menu.CombineStatisticsFiles
 
CommandLineArgsHandler - Interface in meka.gui.core
Interface for GUI applications that handle commandline arguments.
commandLines(List<EvaluationStatistics>, boolean) - Static method in class meka.experiment.evaluationstatistics.EvaluationStatisticsUtils
Returns all the unique classifiers of all the statistics.
CommandLineSetup - Class in meka.experiment.filehandlers
Stores the setup of the experiment as a commandline.
CommandLineSetup() - Constructor for class meka.experiment.filehandlers.CommandLineSetup
 
compare(Object, Object) - Method in class meka.core.LabelSet
 
compare(Object, Object) - Method in class meka.core.LabelSetComparator
 
compare(Object, Object) - Method in class meka.core.LabelVector
multi-label suitable only
compare(EvaluationStatistics, EvaluationStatistics) - Method in class meka.experiment.evaluationstatistics.EvaluationStatisticsComparator
Compares the two statistics.
compare(ExtensionFileFilter, ExtensionFileFilter) - Method in class meka.gui.choosers.ExtensionFileFilterComparator
Compares the two filters.
compareTo(SortableAndSearchableWrapperTableModel.SortContainer) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel.SortContainer
Compares this object with the specified object for order.
compareTo(AbstractResultHistoryPlugin) - Method in class meka.gui.explorer.AbstractResultHistoryPlugin
Comparison on the group and name.
compareTo(AbstractTabMenuItem<T>) - Method in class meka.gui.explorer.AbstractTabMenuItem
Compares this item to another, using group and name.
compareTo(AbstractMenuItemDefinition) - Method in class meka.gui.guichooser.AbstractMenuItemDefinition
Comparison on the group and name.
compressedMatrix - Variable in class meka.classifiers.multilabel.MLCBMaD
The compressed matrix.
compression - Variable in class meka.classifiers.multilabel.Maniac
The compression factor, i.e.
compressionTipText() - Method in class meka.classifiers.multilabel.Maniac
Gives the tiptext for compression.
compressionToolTip() - Method in class meka.classifiers.multilabel.Maniac
Gives the tooltip for compression.
condDepMatrix(Instances, Result) - Static method in class meka.core.StatUtils
CondDepMatrix - Get a Conditional Dependency Matrix.
confidences - Variable in class meka.classifiers.multilabel.CC
 
confidences - Variable in class meka.classifiers.multitarget.CCp
 
configureCurrentHandlerHook(int) - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
configures the current converter.
configureCurrentHandlerHook(int) - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
Configures the current handler.
configureCurrentHandlerHook(int) - Method in class meka.gui.choosers.EvaluationStatisticsExporterFileChooser
configures the current converter.
configureCurrentHandlerHook(int) - Method in class meka.gui.choosers.EvaluationStatisticsFileChooser
configures the current converter.
configureCurrentHandlerHook(int) - Method in class meka.gui.choosers.MeasurementEvaluationStatisticsExporterFileChooser
configures the current converter.
contains(Key) - Method in class meka.classifiers.multilabel.neurofuzzy.ST
Does this symbol table contain the given key?
contains(int) - Method in class meka.core.LabelSet
 
contains(int[]) - Method in class meka.core.LabelSet
 
convert(Instances, int, int) - Method in class meka.classifiers.multilabel.FW
 
convert(LabelSet[], HashMap<LabelSet, Integer>) - Static method in class meka.core.PSUtils
Given N labelsets 'sparseY', use a count 'map' to
convertDistribution(double[], int) - Method in class meka.classifiers.multitarget.NSR
 
convertDistribution(double[], int, Instances) - Static method in class meka.core.PSUtils
Deprecated.
convertDistribution(double[], int, LabelSet[]) - Static method in class meka.core.PSUtils
Convert Distribution - Given the posterior across combinations, return the distribution across labels.
convertInstance(Instance, int) - Method in class meka.classifiers.multilabel.BRq
 
convertInstance(Instance) - Method in class meka.classifiers.multilabel.RT
ConvertInstance - Convert an Instance to multi-class format by deleting all but one of the label attributes.
convertInstance(Instance, int, Instances) - Static method in class meka.core.PSUtils
Convert a multi-label instance into a multi-class instance, according to a template.
convertInstances(Instances, int) - Method in class meka.classifiers.multitarget.NSR
 
convertListArrayTo2DArray(ArrayList<Integer>[]) - Static method in class meka.core.SuperLabelUtils
 
convertVotesToDistributionForInstance(HashMap<Integer, Double>[]) - Static method in class meka.core.SuperLabelUtils
 
copy(double[][]) - Static method in class meka.core.MatrixUtils
Copy a 2D array
copyContent() - Method in class meka.gui.dataviewer.DataPanel
copies the content of the selection to the clipboard
copyContent() - Method in class meka.gui.dataviewer.DataViewerMainPanel
copies the content of the selection to the clipboard
CopyModelSetup - Class in meka.gui.explorer.classify
Allows the user to copy the commandline string of the model to the clipboard.
CopyModelSetup() - Constructor for class meka.gui.explorer.classify.CopyModelSetup
 
copyToClipboard(Transferable) - Static method in class meka.gui.core.GUIHelper
Copies the given transferable to the system's clipboard.
copyToClipboard(String) - Static method in class meka.gui.core.GUIHelper
Copies the given string to the system's clipboard.
copyToClipboard(BufferedImage) - Static method in class meka.gui.core.GUIHelper
Copies the given image to the system's clipboard.
copyToClipboard() - Method in class meka.gui.core.MekaTable
Copies either the selected rows to the clipboard.
copyValues(Instance, Instance, int, int) - Static method in class meka.core.MLUtils
CopyValues - Set x_dest[j+offset] = x_src[i+from].
copyValues(Instance, Instance, int[]) - Static method in class meka.core.MLUtils
CopyValues - Set x_dest[i++] = x_src[j] for all j in indices[].
COST - Variable in class rbms.RBM
 
countCombinations(Instances, int) - Static method in class meka.core.MLUtils
CountCombinations - return a mapping of each distinct label combination and its count.
countCombinationsSparse(Instances, int) - Static method in class meka.core.MLUtils
CountCombinations in a sparse way.
countCombinationsSparse(Instances, int) - Static method in class meka.core.PSUtils
CountCombinationsSparse - return a mapping of each distinct label combination and its count.
countCombinationsSparseSubset(Instances, int[]) - Static method in class meka.core.PSUtils
CountCombinationsSparseSubset - like CountCombinationsSparse, but only interested in 'indices[]' wrt 'D'.
countSubsets(LabelSet, Set<LabelSet>) - Static method in class meka.core.PSUtils
Count Subsets - returns the number of times labelset 'ysub' exists as a subset in 'Y'.
cover(LabelSet, HashMap<LabelSet, Integer>) - Static method in class meka.core.PSUtils
Cover - cover 'y' completely (or as best as possible) with sets from 'map'.
cover(LabelSet, SortedSet<LabelSet>, Comparator) - Static method in class meka.core.PSUtils
 
CR - Class in meka.classifiers.multitarget
 
CR() - Constructor for class meka.classifiers.multitarget.CR
 
createAccessoryPanel() - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Creates an accessory panel displayed next to the files.
createAccessoryPanel() - Method in class meka.gui.choosers.MekaFileChooser
Creates an accessory panel displayed next to the files.
createAnimation() - Method in class meka.gui.core.StatusBar
 
createDBM(int) - Method in class meka.classifiers.multilabel.meta.DeepML
CreateDBM - make a RBM if N=1 or a DBM otherwise.
createDialog() - Method in class meka.gui.dataviewer.DataViewerDialog
creates all the elements of the dialog
createDialog(Container) - Static method in class meka.gui.goe.GenericObjectEditorDialog
Creates a modal dialog for the parent.
createDialog(Container, PropertyEditor) - Static method in class meka.gui.goe.GenericObjectEditorDialog
Creates a modal dialog for the parent with the provided editor.
createDialog(Container, PropertyEditor, Object) - Static method in class meka.gui.goe.GenericObjectEditorDialog
Creates a modal dialog for the parent with the provided editor and initial value.
createFrame() - Method in class meka.gui.dataviewer.DataViewer
creates all the components in the frame
createMenuItemText(int, T) - Method in class meka.gui.core.AbstractRecentItemsHandler
Generates the text for the menuitem.
createMenuItemText(int, File) - Method in class meka.gui.core.RecentFilesHandler
Generates the text for the menuitem.
createMenuItemText(int, RecentFilesHandlerWithCommandline.Setup) - Method in class meka.gui.core.RecentFilesHandlerWithCommandline
Generates the text for the menuitem.
createPanel() - Method in class meka.gui.dataviewer.DataPanel
creates all the components in the frame
createPanel() - Method in class meka.gui.dataviewer.DataViewerMainPanel
creates all the components in the panel
createPanel(Instances, String) - Method in class meka.gui.explorer.classify.AbstractShowThresholdCurve
Creates a panel displaying the ROC data.
createPanel(Instances) - Method in class meka.gui.explorer.classify.IncrementalPerformance
Creates a panel displaying the data.
createPanel(Instances) - Method in class meka.gui.explorer.classify.ShowMacroCurve
Creates a panel displaying the data.
createPanel(Instances) - Method in class meka.gui.explorer.classify.ShowMicroCurve
Creates a panel displaying the data.
createPanel(Instances, String) - Method in class meka.gui.explorer.classify.ShowPrecisionRecall
Creates a panel displaying the ROC data.
createPanel(Instances, String) - Method in class meka.gui.explorer.classify.ShowROC
Creates a panel displaying the ROC data.
createPartialFilename(File, int) - Static method in class meka.core.FileUtils
Creates a partial filename for the given file, based on how many parent directories should be included.
createPopup(MouseEvent) - Method in class meka.gui.core.ResultHistoryList
Creates a popup menu for the selected item.
CRITICAL - Static variable in class meka.core.StatUtils
Critical value used for Chi^2 test.
CrossValidation - Class in meka.experiment.evaluators
Evaluates the classifier using cross-validation.
CrossValidation() - Constructor for class meka.experiment.evaluators.CrossValidation
 
CT - Class in meka.classifiers.multilabel
CT - Classifier Trellis.
CT() - Constructor for class meka.classifiers.multilabel.CT
 
CURVE_DATA - Static variable in class meka.gui.explorer.classify.AbstractShowThresholdCurve
 
CURVE_DATA_MACRO - Static variable in class meka.gui.explorer.classify.ShowMacroCurve
 
CURVE_DATA_MICRO - Static variable in class meka.gui.explorer.classify.ShowMicroCurve
 
curveData(int[], double[]) - Static method in class meka.core.Metrics
Get Data for Plotting PR and ROC curves.
curveData(int[][], double[][]) - Static method in class meka.core.Metrics
Get Data for Plotting PR and ROC curves.
curveDataMacroAveraged(int[][], double[][]) - Static method in class meka.core.Metrics
Get Data for Plotting PR and ROC curves.
curveDataMicroAveraged(int[][], double[][]) - Static method in class meka.core.Metrics
Get Data for Plotting PR and ROC curves.
customizePopupMenu(ResultHistoryList, int, JPopupMenu) - Method in interface meka.gui.core.ResultHistoryList.ResultHistoryPopupMenuCustomizer
Allows to customize the popup menu for the result history.
customizePopupMenu(ResultHistoryList, int, JPopupMenu) - Method in class meka.gui.explorer.AbstractResultHistoryPlugin
Allows to customize the popup menu for the result history.
customizePopupMenu(ResultHistoryList, int, JPopupMenu) - Method in class meka.gui.explorer.ClassifyTab.HistoryCustomizer
Allows to customize the popup menu for the result history.
cvModel(MultiLabelClassifier, Instances, int, String) - Static method in class meka.classifiers.multilabel.Evaluation
CVModel - Split D into train/test folds, and then train and evaluate on each one.
cvModel(MultiLabelClassifier, Instances, int, String, String) - Static method in class meka.classifiers.multilabel.Evaluation
CVModel - Split D into train/test folds, and then train and evaluate on each one.

D

D_ - Variable in class meka.classifiers.multilabel.meta.EM
 
D_templates - Variable in class meka.classifiers.multilabel.CDN
 
DataPanel - Class in meka.gui.dataviewer
A Panel representing an Data-Table and the associated filename.
DataPanel() - Constructor for class meka.gui.dataviewer.DataPanel
initializes the panel with no data
DataPanel(String, AbstractFileLoader...) - Constructor for class meka.gui.dataviewer.DataPanel
initializes the panel and loads the specified file
DataPanel(Instances) - Constructor for class meka.gui.dataviewer.DataPanel
initializes the panel with the given data
DatasetProvider - Interface in meka.experiment.datasetproviders
Interface for classes that provide datasets for the experiment.
datasetProviderTipText() - Method in class meka.experiment.DefaultExperiment
Describes this property.
datasetProviderTipText() - Method in interface meka.experiment.Experiment
Describes this property.
datasetsTipText() - Method in class meka.experiment.datasetproviders.LocalDatasetProvider
Describes this property.
DataSortedTableModel - Class in meka.gui.dataviewer
A sorter for the Data-Viewer - necessary because of the custom CellRenderer.
DataSortedTableModel(String, AbstractFileLoader...) - Constructor for class meka.gui.dataviewer.DataSortedTableModel
initializes the sorter w/o a model, but loads the given file and creates from that a model
DataSortedTableModel(Instances) - Constructor for class meka.gui.dataviewer.DataSortedTableModel
initializes the sorter w/o a model, but uses the given data to create a model from that
DataSortedTableModel(TableModel) - Constructor for class meka.gui.dataviewer.DataSortedTableModel
initializes the sorter with the given model
DataTable - Class in meka.gui.dataviewer
A specialized JTable for the Data-Viewer.
DataTable() - Constructor for class meka.gui.dataviewer.DataTable
initializes with no model
DataTable(TableModel) - Constructor for class meka.gui.dataviewer.DataTable
initializes with the given model
DataTable.RelationalCellEditor - Class in meka.gui.dataviewer
a special Editor for editing the relation attribute.
DataTableCellRenderer - Class in meka.gui.dataviewer
Handles the background colors for missing values differently than the DefaultTableCellRenderer.
DataTableCellRenderer() - Constructor for class meka.gui.dataviewer.DataTableCellRenderer
initializes the Renderer with a standard color
DataTableCellRenderer(Color, Color) - Constructor for class meka.gui.dataviewer.DataTableCellRenderer
initializes the Renderer with the given colors
DataTableCellRenderer(Color, Color, Color, Color) - Constructor for class meka.gui.dataviewer.DataTableCellRenderer
initializes the Renderer with the given colors
DataTableModel - Class in meka.gui.dataviewer
The model for the Data-Viewer.
DataTableModel(String, AbstractFileLoader...) - Constructor for class meka.gui.dataviewer.DataTableModel
initializes the object and loads the given file
DataTableModel(Instances) - Constructor for class meka.gui.dataviewer.DataTableModel
initializes the model with the given data
DataViewer - Class in meka.gui.dataviewer
A little tool for viewing ARFF files.
DataViewer() - Constructor for class meka.gui.dataviewer.DataViewer
initializes the object
DataViewerDefinition - Class in meka.gui.guichooser
Launches the Data Viewer.
DataViewerDefinition() - Constructor for class meka.gui.guichooser.DataViewerDefinition
 
DataViewerDialog - Class in meka.gui.dataviewer
A downsized version of the DataViewer, displaying only one Instances-Object.
DataViewerDialog(Frame) - Constructor for class meka.gui.dataviewer.DataViewerDialog
initializes the dialog with the given parent.
DataViewerDialog(Frame, Dialog.ModalityType) - Constructor for class meka.gui.dataviewer.DataViewerDialog
initializes the dialog with the given parent
DataViewerDialog(Dialog) - Constructor for class meka.gui.dataviewer.DataViewerDialog
initializes the dialog with the given parent.
DataViewerDialog(Dialog, boolean) - Constructor for class meka.gui.dataviewer.DataViewerDialog
initializes the dialog with the given parent.
DataViewerMainPanel - Class in meka.gui.dataviewer
The main panel of the DataViewer.
DataViewerMainPanel(Container) - Constructor for class meka.gui.dataviewer.DataViewerMainPanel
initializes the object
dbm - Variable in class meka.classifiers.multilabel.DBPNN
 
dbm - Variable in class meka.classifiers.multilabel.meta.DeepML
 
DBM - Class in rbms
DBM - Stacked Restricted Boltzmann Machines.
DBM(String[]) - Constructor for class rbms.DBM
DBM - Create a DBM with 'options' (we use WEKA-style option processing).
DBPNN - Class in meka.classifiers.multilabel
DBPNN.java - Deep Back-Propagation Neural Network.
DBPNN() - Constructor for class meka.classifiers.multilabel.DBPNN
 
DEBUG - Static variable in class meka.core.PropsUtils
whether to output some debug information.
debug(String) - Method in class meka.events.LogObject
For debugging messages.
DEBUG - Static variable in class meka.gui.goe.GenericObjectEditor
whether to output some debugging information.
DEBUG - Static variable in class meka.gui.goe.GenericPropertiesCreator
whether to output some debugging information.
debugTipText() - Method in interface meka.classifiers.multilabel.MultiLabelClassifier
Returns the tip text for this property
debugTipText() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
 
debugTipText() - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
 
debugTipText() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
debugTipText() - Method in interface meka.classifiers.multitarget.MultiTargetClassifier
Returns the tip text for this property
decodeClass(String) - Static method in class meka.core.SuperLabelUtils
Decode a string into sparse list of indices
decodeClass(String) - Static method in class meka.filters.multilabel.SuperNodeFilter
("c_3",'_') -> 3
decodeClasses(String) - Static method in class meka.filters.multilabel.SuperNodeFilter
("c_3+1") -> [3,1]
decodeValue(String) - Static method in class meka.classifiers.multitarget.NSR
 
decodeValue(String) - Static method in class meka.core.MLUtils
Deprecated.
decodeValue(String) - Static method in class meka.core.SuperLabelUtils
 
decodeValue(String) - Static method in class meka.filters.multilabel.SuperNodeFilter
"C+A+B" -> ["C","A","B"]
deep_copy() - Method in class meka.core.LabelSet
 
deep_copy(int[][]) - Static method in class meka.core.MatrixUtils
Deep Copy - Make a deep copy of M[][].
deepCopy(Object) - Static method in class meka.core.ObjectUtils
Creates a deep copy of the given object (must be serializable!).
DeepML - Class in meka.classifiers.multilabel.meta
DeepML.java - Deep Multi-label Classification.
DeepML() - Constructor for class meka.classifiers.multilabel.meta.DeepML
 
DEFAULT_KEYS - Static variable in class meka.experiment.evaluationstatistics.EvaluationStatisticsComparator
the default keys.
defaultClassifierString() - Method in class meka.classifiers.multilabel.incremental.BRUpdateable
 
defaultClassifierString() - Method in class meka.classifiers.multilabel.incremental.CCUpdateable
 
defaultClassifierString() - Method in class meka.classifiers.multilabel.incremental.meta.BaggingMLUpdateable
 
defaultClassifierString() - Method in class meka.classifiers.multilabel.incremental.PSUpdateable
 
defaultClassifierString() - Method in class meka.classifiers.multilabel.incremental.RTUpdateable
 
defaultClassifierString() - Method in class meka.classifiers.multilabel.LabelTransformationClassifier
 
defaultClassifierString() - Method in class meka.classifiers.multilabel.meta.DeepML
 
defaultClassifierString() - Method in class meka.classifiers.multilabel.meta.EM
 
defaultClassifierString() - Method in class meka.classifiers.multilabel.meta.FilteredClassifier
String describing default classifier.
defaultClassifierString() - Method in class meka.classifiers.multilabel.meta.MBR
 
defaultClassifierString() - Method in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
 
defaultClassifierString() - Method in class meka.classifiers.multilabel.meta.SubsetMapper
 
defaultClassifierString() - Method in class meka.classifiers.multilabel.ProblemTransformationMethod
 
defaultClassifierString() - Method in class meka.classifiers.multitarget.BCC
 
defaultClassifierString() - Method in class meka.classifiers.multitarget.CC
 
defaultClassifierString() - Method in class meka.classifiers.multitarget.CR
 
defaultClassifierString() - Method in class meka.classifiers.multitarget.meta.BaggingMT
 
defaultClassifierString() - Method in class meka.classifiers.multitarget.meta.EnsembleMT
 
defaultClassifierString() - Method in class meka.classifiers.multitarget.meta.FilteredClassifier
String describing default classifier.
defaultClassifierString() - Method in class meka.classifiers.multitarget.NSR
 
defaultClassifierString() - Method in class meka.classifiers.multitarget.SCC
 
DefaultExperiment - Class in meka.experiment
Default experiment which executes experiments on the local machine.
DefaultExperiment() - Constructor for class meka.experiment.DefaultExperiment
 
delete(int) - Method in class meka.classifiers.multilabel.neurofuzzy.SparseArray
Removes the mapping from the specified key, if there was any.
delete(Key) - Method in class meka.classifiers.multilabel.neurofuzzy.ST
Removes the key and associated value from the symbol table (if the key is in the symbol table).
delete(int[], int) - Static method in class meka.core.A
 
delete(int[], int[]) - Static method in class meka.core.A
 
deleteAttribute() - Method in class meka.gui.dataviewer.DataPanel
deletes the currently selected attribute
deleteAttribute(boolean) - Method in class meka.gui.dataviewer.DataViewerMainPanel
deletes the current selected Attribute or several chosen ones
deleteAttributeAt(int) - Method in class meka.gui.dataviewer.DataSortedTableModel
deletes the attribute at the given col index
deleteAttributeAt(int) - Method in class meka.gui.dataviewer.DataTableModel
deletes the attribute at the given col index.
deleteAttributeAt(int, boolean) - Method in class meka.gui.dataviewer.DataTableModel
deletes the attribute at the given col index
deleteAttributes() - Method in class meka.gui.dataviewer.DataPanel
deletes the chosen attributes
deleteAttributes(int[]) - Method in class meka.gui.dataviewer.DataSortedTableModel
deletes the attributes at the given indices
deleteAttributes(int[]) - Method in class meka.gui.dataviewer.DataTableModel
deletes the attributes at the given indices
deleteAttributesAt(Instance, int[]) - Static method in class meka.core.MLUtils
Delete attributes from an instance 'x' indexed by 'indicesToRemove[]'.
deleteAttributesAt(Instances, int[]) - Static method in class meka.core.MLUtils
Delete attributes from a dataset 'D' indexed by 'indicesToRemove[]'.
deleteInstance() - Method in class meka.gui.dataviewer.DataPanel
deletes the currently selected instance
deleteInstance(boolean) - Method in class meka.gui.dataviewer.DataViewerMainPanel
deletes the current selected Instance or several chosen ones
deleteInstanceAt(int) - Method in class meka.gui.dataviewer.DataSortedTableModel
deletes the instance at the given index
deleteInstanceAt(int) - Method in class meka.gui.dataviewer.DataTableModel
deletes the instance at the given index
deleteInstanceAt(int, boolean) - Method in class meka.gui.dataviewer.DataTableModel
deletes the instance at the given index
deleteInstances() - Method in class meka.gui.dataviewer.DataPanel
deletes all the currently selected instances
deleteInstances(int[]) - Method in class meka.gui.dataviewer.DataSortedTableModel
deletes the instances at the given positions
deleteInstances(int[]) - Method in class meka.gui.dataviewer.DataTableModel
deletes the instances at the given positions
densityTipText() - Method in class meka.classifiers.multilabel.CDT
 
densityTipText() - Method in class meka.classifiers.multilabel.CT
 
dependencyMetricTipText() - Method in class meka.classifiers.multilabel.CDT
 
dependencyMetricTipText() - Method in class meka.classifiers.multilabel.CT
 
dependencyTypeTipText() - Method in class meka.classifiers.multilabel.BCC
 
destroy() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
destroy() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM.DistributionCalc
 
determineAllClasses() - Static method in class meka.gui.goe.GenericObjectEditor
 
determineMinimumNumberOfParentDirs() - Method in class meka.gui.core.RecentFilesHandler
Determines the minimum number of parent directories that need to be included in the filename to make the filenames in the menu distinguishable.
determineMinimumNumberOfParentDirs() - Method in class meka.gui.core.RecentFilesHandlerWithCommandline
Determines the minimum number of parent directories that need to be included in the filename to make the filenames in the menu distinguishable.
determineOutputFormat(Instances) - Method in class meka.filters.multilabel.SuperNodeFilter
 
determineOutputFormat(Instances) - Method in class meka.filters.unsupervised.attribute.MekaClassAttributes
Determines the output format based on the input format and returns this.
DIR_UNIX - Static variable in class meka.core.Project
the unix directory.
DIR_WINDOWS - Static variable in class meka.core.Project
the windows directory.
DISCARD_OPTION - Static variable in class meka.gui.core.ApprovalDialog
the discard option.
displayResults() - Method in class meka.gui.explorer.ClassifyTab
Displays the selected results.
distance(LabelSet) - Method in class meka.core.LabelSet
 
distribution(Instance, double[]) - Method in class meka.classifiers.multilabel.cc.CNode
The distribution this this node, given input x.
DistributionCalc(ARAMNetworkClass) - Constructor for class meka.classifiers.multilabel.neurofuzzy.WvARAM.DistributionCalc
 
DistributionCalcM(ARAMNetworkClass) - Constructor for class meka.classifiers.multilabel.neurofuzzy.WvARAM.DistributionCalcM
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.AbstractMultiLabelClassifier
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.BPNN
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.BR
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.BRq
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.CC
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.CCq
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.CDN
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.CDT
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.DBPNN
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.FW
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.incremental.CCUpdateable
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.incremental.PSUpdateable
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.LabelTransformationClassifier
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.LC
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.MajorityLabelset
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.MCC
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.meta.DeepML
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.meta.EM
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.meta.MBR
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.meta.RandomSubspaceML
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.meta.SubsetMapper
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.MULAN
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkfast
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparse
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseH
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT_Strange
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseV
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.PCC
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.PMCC
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.ProblemTransformationMethod
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.PSt
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.RAkELd
 
distributionForInstance(Instance) - Method in class meka.classifiers.multilabel.RT
 
distributionForInstance(Instance) - Method in class meka.classifiers.multitarget.BCC
 
distributionForInstance(Instance) - Method in class meka.classifiers.multitarget.CC
 
distributionForInstance(Instance) - Method in class meka.classifiers.multitarget.CCp
 
distributionForInstance(Instance) - Method in class meka.classifiers.multitarget.CR
 
distributionForInstance(Instance) - Method in class meka.classifiers.multitarget.meta.BaggingMT
 
distributionForInstance(Instance) - Method in class meka.classifiers.multitarget.meta.EnsembleMT
 
distributionForInstance(Instance) - Method in class meka.classifiers.multitarget.NSR
 
distributionForInstance(Instance) - Method in class meka.classifiers.multitarget.RAkELd
 
distributionForInstance(Instance) - Method in class meka.classifiers.multitarget.SCC
 
distributionForInstanceM(Instances) - Method in interface meka.classifiers.multilabel.MultiLabelClassifierThreaded
 
distributionForInstanceM(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
 
distributionForInstanceM(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkfast
 
distributionForInstanceM(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparse
 
distributionForInstanceM(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseH
 
distributionForInstanceM(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT
 
distributionForInstanceM(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT_Strange
 
distributionForInstanceM(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseV
 
distributionForInstanceM(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
 
distributionForInstanceM(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
 
distributionForInstanceM(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
distributionT(Instance) - Method in class meka.classifiers.multilabel.cc.CNode
Same as #distribution(Instance, double[]), but the Instance is pre-transformed with ypred inside.
doAggregate(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Calculates the actual aggregates.
doCall() - Method in class meka.experiment.evaluators.EvaluatorJob
Performs the actual evaluation.
doExport(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.AbstractEvaluationStatisticsExporter
Exports the statistics.
doExport(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.AbstractMeasurementEvaluationStatisticsExporter
Exports the statistics.
doExport(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.InMemory
Exports the statistics.
doExport(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.MultiExporter
Exports the statistics.
doExport(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Exports the statistics.
doExport(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.TabSeparated
Exports the statistics.
doExport(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.WekaFilter
Exports the statistics.
doExportAggregated(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.AbstractMeasurementEvaluationStatisticsExporter
Exports the aggregated statistics.
doExportAggregated(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.LatexMeasurement
Exports the aggregated statistics.
doExportAggregated(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.TabSeparatedMeasurement
Exports the aggregated statistics.
doInitializeFilters() - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Performs the actual initialization of the filters.
doInitializeFilters() - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
Performs the actual initialization of the filters.
doInitializeFilters() - Method in class meka.gui.choosers.EvaluationStatisticsExporterFileChooser
Performs the actual initialization of the filters.
doInitializeFilters() - Method in class meka.gui.choosers.EvaluationStatisticsFileChooser
Performs the actual initialization of the filters.
doInitializeFilters() - Method in class meka.gui.choosers.ExperimentFileChooser
Performs the actual initialization of the filters.
doInitializeFilters() - Method in class meka.gui.choosers.MeasurementEvaluationStatisticsExporterFileChooser
Performs the actual initialization of the filters.
doNotify() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM.DistributionCalc
 
doRender(Object, JPanel) - Method in class meka.gui.modelviewer.renderers.AbstractObjectRenderer
Performs the actual rendering.
doRender(Object, JPanel) - Method in class meka.gui.modelviewer.renderers.InstancesRenderer
Performs the actual rendering.
doRender(Object, JPanel) - Method in class meka.gui.modelviewer.renderers.MultiLabelClassifierRenderer
Performs the actual rendering.
doRender(Object, JPanel) - Method in class meka.gui.modelviewer.renderers.PlainTextRenderer
Performs the actual rendering.
dot(SparseVector) - Method in class meka.classifiers.multilabel.neurofuzzy.SparseVector
 
dot(double[], double[]) - Static method in class meka.core.MatrixUtils
dot product of two vectors
doUpdateMenu() - Method in class meka.gui.core.AbstractRecentItemsHandler
Updates the menu.
downSampleRatioTipText() - Method in class meka.classifiers.multilabel.BRq
 
downSampleRatioTipText() - Method in class meka.classifiers.multilabel.CCq
 
dsigma(double) - Static method in class meka.core.MatrixUtils
Derivative of the sigmoid function applied to scalar
dsigma(double[]) - Static method in class meka.core.MatrixUtils
Derivative of the sigmoid function applied to vector
dsigma(double[][]) - Static method in class meka.core.MatrixUtils
Derivative of the sigmoid function applied to Matrix
dsigma(Matrix) - Static method in class meka.core.MatrixUtils
Derivative of the sigmoid function applied to Jama Matrix
dW_ - Variable in class meka.classifiers.multilabel.BPNN
 
dW_ - Variable in class rbms.RBM
 

E

edit() - Method in class meka.gui.explorer.Explorer
edits the current instances object in the viewer
editClassifier() - Method in class meka.gui.experimenter.BasicSetup
Lets the user edit a classifier.
editClassifier() - Method in class meka.gui.experimenter.ExpertSetup
Lets the user edit a classifier.
editNotes() - Method in class meka.gui.experimenter.BasicSetup
Displays dialog for entering notes in Markdown.
editNotes() - Method in class meka.gui.experimenter.ExpertSetup
Displays dialog for entering notes in Markdown.
EditTestData - Class in meka.gui.explorer.classify
Menu item for loading a model from disk.
EditTestData() - Constructor for class meka.gui.explorer.classify.EditTestData
 
EM - Class in meka.classifiers.multilabel.meta
EM.java - Expectation Maximization using any multi-label classifier.
EM() - Constructor for class meka.classifiers.multilabel.meta.EM
 
EMPTY_ICON - Static variable in class meka.gui.core.GUIHelper
the empty icon name.
emptyVectors(int[][]) - Static method in class meka.core.MLUtils
EmptyVectors - percentage of empty vectors sum(y[i])==0 in Y.
encodeClass(int[]) - Static method in class meka.core.SuperLabelUtils
Encode a sparse list of indices to a string
encodeClass(int) - Static method in class meka.filters.multilabel.SuperNodeFilter
(3,'_') -> "c_3"
encodeClass(String, String) - Static method in class meka.filters.multilabel.SuperNodeFilter
(["c_3","c_1"]) -> "c_3+1"
encodeClass(int[]) - Static method in class meka.filters.multilabel.SuperNodeFilter
([3,1]) -> "c_3+1"
encodeValue(int[]) - Static method in class meka.core.MLUtils
Deprecated.
encodeValue(Instance, int[]) - Static method in class meka.core.SuperLabelUtils
Encode a vector of integer values to a string
encodeValue(String, String) - Static method in class meka.filters.multilabel.SuperNodeFilter
(3,1) -> "3+1"
encodeValue(Instance, int[]) - Static method in class meka.filters.multilabel.SuperNodeFilter
(3,1,2) -> "3+1+2"
EnsembleML - Class in meka.classifiers.multilabel.meta
EnsembleML.java - Combines several multi-label classifiers in a simple-subset ensemble.
EnsembleML() - Constructor for class meka.classifiers.multilabel.meta.EnsembleML
 
EnsembleMT - Class in meka.classifiers.multitarget.meta
The Multi-Target Version of EnsembleML.
EnsembleMT() - Constructor for class meka.classifiers.multitarget.meta.EnsembleMT
 
ensureThreadSafety(Experiment, Evaluator) - Static method in class meka.experiment.ExperimentUtils
Makes sure that the experiment uses a threadsafe setup.
ensureThreadSafety(Experiment) - Static method in class meka.experiment.ExperimentUtils
Makes sure that the experiment uses a threadsafe setup.
epoch(Matrix) - Method in class rbms.RBM
Epoch - Run X through one epcho of CD of the RBM.
equals(Object) - Method in class meka.core.LabelSet
 
equals(Object) - Method in class meka.core.LabelVector
 
equals(Object) - Method in class meka.gui.core.RecentFilesHandlerWithCommandline.Setup
Returns true if the other object is also a RecentFilesHandlerWithCommandline.Setup instance and contains the same file.
equals(Object) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel.SortContainer
Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class meka.gui.explorer.AbstractResultHistoryPlugin
Checks equality using the name of the plugin.
equals(Object) - Method in class meka.gui.guichooser.AbstractMenuItemDefinition
Checks equality using the name of the plugin.
escape(String) - Static method in class meka.core.LatexUtils
Ensures that the string is LaTeX compliant.
escape(String, LatexUtils.Characters[]) - Static method in class meka.core.LatexUtils
Ensures that the string is LaTeX compliant.
eTipText() - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
 
evaluate(MultiLabelClassifier, Instances) - Method in class meka.experiment.evaluators.CrossValidation
Returns the evaluation statistics generated for the dataset.
evaluate(MultiLabelClassifier, Instances) - Method in interface meka.experiment.evaluators.Evaluator
Returns the evaluation statistics generated for the dataset.
evaluate(MultiLabelClassifier, Instances) - Method in class meka.experiment.evaluators.PercentageSplit
Returns the evaluation statistics generated for the dataset.
evaluate(MultiLabelClassifier, Instances) - Method in class meka.experiment.evaluators.RepeatedRuns
Returns the evaluation statistics generated for the dataset.
evaluateModel(MultiLabelClassifier, Instances, Instances, String) - Static method in class meka.classifiers.multilabel.Evaluation
EvaluateModel - Build model 'h' on 'D_train', test it on 'D_test', threshold it according to 'top', using default verbosity option.
evaluateModel(MultiLabelClassifier, Instances, Instances, String, String) - Static method in class meka.classifiers.multilabel.Evaluation
EvaluateModel - Build model 'h' on 'D_train', test it on 'D_test', threshold it according to 'top', verbosity 'vop'.
evaluateModel(MultiLabelClassifier, Instances, String, String) - Static method in class meka.classifiers.multilabel.Evaluation
EvaluateModel - Assume 'h' is already built, test it on 'D_test', threshold it according to 'top', verbosity 'vop'.
evaluateModel(MultiLabelClassifier, Instances, Instances) - Static method in class meka.classifiers.multilabel.Evaluation
EvaluateModel - Build model 'h' on 'D_train', test it on 'D_test'.
evaluateModel(MultiLabelClassifier, String[]) - Static method in class meka.classifiers.multilabel.incremental.IncrementalEvaluation
EvaluateModel - Build and evaluate.
evaluateModel(MultiLabelClassifier, Instances) - Static method in class meka.classifiers.multilabel.incremental.IncrementalEvaluation
EvaluateModel - over 20 windows.
evaluateModelBatchWindow(MultiLabelClassifier, Instances, int, double, String, String) - Static method in class meka.classifiers.multilabel.incremental.IncrementalEvaluation
EvaluateModelBatchWindow - Evaluate a multi-label data-stream model over windows.
evaluateModelM(MultiLabelClassifier, Instances, Instances, String, String) - Static method in class meka.classifiers.multilabel.Evaluation
 
evaluateModelPrequentialBasic(MultiLabelClassifier, Instances, int, double, String, String) - Static method in class meka.classifiers.multilabel.incremental.IncrementalEvaluation
Prequential Evaluation - Accuracy since the start of evaluation.
evaluateParallel(MultiLabelClassifier, Instances) - Method in class meka.experiment.evaluators.CrossValidation
Returns the evaluation statistics generated for the dataset (parallel execution).
evaluateParallel(MultiLabelClassifier, Instances) - Method in class meka.experiment.evaluators.RepeatedRuns
Executes the runs in sequential order.
evaluateSequential(MultiLabelClassifier, Instances) - Method in class meka.experiment.evaluators.CrossValidation
Returns the evaluation statistics generated for the dataset (sequential execution).
evaluateSequential(MultiLabelClassifier, Instances) - Method in class meka.experiment.evaluators.RepeatedRuns
Executes the runs in sequential order.
evaluation(MultiLabelClassifier, String[]) - Static method in class meka.classifiers.multilabel.AbstractMultiLabelClassifier
Called by classifier's main() method upon initialisation from the command line.
Evaluation - Class in meka.classifiers.multilabel
Evaluation.java - Evaluation functionality.
Evaluation() - Constructor for class meka.classifiers.multilabel.Evaluation
 
evaluation(MultiLabelClassifier, String[]) - Static method in class meka.classifiers.multilabel.ProblemTransformationMethod
Called by classifier's main() method upon initialisation from the command line.
EvaluationStatistics - Class in meka.experiment.evaluationstatistics
Stores evaluation statistics.
EvaluationStatistics() - Constructor for class meka.experiment.evaluationstatistics.EvaluationStatistics
Default constructor.
EvaluationStatistics(MultiLabelClassifier, Instances, Result) - Constructor for class meka.experiment.evaluationstatistics.EvaluationStatistics
Extracts the statistics from the Result object.
EvaluationStatistics(MultiLabelClassifier, String, Result) - Constructor for class meka.experiment.evaluationstatistics.EvaluationStatistics
Extracts the statistics from the Result object.
EvaluationStatisticsComparator - Class in meka.experiment.evaluationstatistics
Comparator for statistics.
EvaluationStatisticsComparator() - Constructor for class meka.experiment.evaluationstatistics.EvaluationStatisticsComparator
Initializes the comparator with the default keys.
EvaluationStatisticsComparator(String[]) - Constructor for class meka.experiment.evaluationstatistics.EvaluationStatisticsComparator
Initializes the comparator with the specified keys.
EvaluationStatisticsExporter - Interface in meka.experiment.statisticsexporters
Interface for classes that export statistics into other formats.
EvaluationStatisticsExporterFileChooser - Class in meka.gui.choosers
File chooser for evaluation statistics exporters (only writers, no readers!).
EvaluationStatisticsExporterFileChooser() - Constructor for class meka.gui.choosers.EvaluationStatisticsExporterFileChooser
 
EvaluationStatisticsFileChooser - Class in meka.gui.choosers
File chooser for evaluation statistics files.
EvaluationStatisticsFileChooser() - Constructor for class meka.gui.choosers.EvaluationStatisticsFileChooser
 
EvaluationStatisticsHandler - Interface in meka.experiment.evaluationstatistics
Interface for classes that load and save collected EvaluationStatistics in some form.
EvaluationStatisticsTableModel - Class in meka.gui.core
The table model for evaluation statistics.
EvaluationStatisticsTableModel() - Constructor for class meka.gui.core.EvaluationStatisticsTableModel
Initializes the model with no statistics.
EvaluationStatisticsTableModel(List<EvaluationStatistics>) - Constructor for class meka.gui.core.EvaluationStatisticsTableModel
Initializes the model with the statistics.
EvaluationStatisticsUtils - Class in meka.experiment.evaluationstatistics
Helper class for stats related operations.
EvaluationStatisticsUtils() - Constructor for class meka.experiment.evaluationstatistics.EvaluationStatisticsUtils
 
Evaluator - Interface in meka.experiment.evaluators
Interface for classes that evaluate on a dataset.
EvaluatorJob - Class in meka.experiment.evaluators
Job to be used in parallel execution.
EvaluatorJob() - Constructor for class meka.experiment.evaluators.EvaluatorJob
 
evaluatorTipText() - Method in class meka.experiment.DefaultExperiment
Describes this property.
evaluatorTipText() - Method in class meka.experiment.evaluators.AbstractMetaEvaluator
Describes this property.
evaluatorTipText() - Method in interface meka.experiment.Experiment
Describes this property.
ExceptionUtils - Class in meka.core
Helper class for throwables and exceptions.
ExceptionUtils() - Constructor for class meka.core.ExceptionUtils
 
executionFinalized() - Method in class meka.gui.explorer.AbstractThreadedExplorerTab
Gets called when the thread has finished completely.
executionFinished(Throwable) - Method in class meka.gui.explorer.AbstractThreadedExplorerTab
Gets called when the thread finishes or gets stopped.
executionFinished(Throwable) - Method in class meka.gui.explorer.ClassifyTab
Gets called when the thread finishes or gets stopped.
executionFinished(Throwable) - Method in class meka.gui.explorer.PreprocessTab
Gets called when the thread finishes or gets stopped.
ExecutionStageEvent - Class in meka.experiment.events
Event that gets sent by an experiment when it enters a new stage in the execution.
ExecutionStageEvent(Experiment, ExecutionStageEvent.Stage) - Constructor for class meka.experiment.events.ExecutionStageEvent
Gets called when the experiment enters a new stage.
ExecutionStageEvent.Stage - Enum in meka.experiment.events
The stages of an experiment.
ExecutionStageListener - Interface in meka.experiment.events
Interface for classes that want to be notified whenever an experiment enters a new stage.
executionStarted() - Method in class meka.gui.explorer.AbstractThreadedExplorerTab
Gets called when the thread starts.
executionStarted() - Method in class meka.gui.explorer.ClassifyTab
Gets called when the thread starts.
executionStarted() - Method in class meka.gui.explorer.PreprocessTab
Gets called when the thread starts.
expand(String) - Method in class meka.gui.core.AbstractRecentItemsHandler
Adds the prefix to the property name if provided.
expandFile(String) - Static method in class meka.core.Project
Adds the home directory to the file.
Experiment - Interface in meka.experiment
Interface for experiments.
Experimenter - Class in meka.gui.experimenter
Experimenter interface.
Experimenter() - Constructor for class meka.gui.experimenter.Experimenter
 
ExperimenterDefinition - Class in meka.gui.guichooser
Launches the Experimenter.
ExperimenterDefinition() - Constructor for class meka.gui.guichooser.ExperimenterDefinition
 
ExperimentFileChooser - Class in meka.gui.choosers
File chooser for experiment files.
ExperimentFileChooser() - Constructor for class meka.gui.choosers.ExperimentFileChooser
 
ExperimentFileHandler - Interface in meka.experiment.filehandlers
Interface for classes load/save experiments.
experimentStage(ExecutionStageEvent) - Method in interface meka.experiment.events.ExecutionStageListener
Gets called when the experiment enters a new stage.
experimentStage(ExecutionStageEvent) - Method in class meka.gui.experimenter.AbstractExperimenterTab
Gets called when the experiment enters a new stage.
experimentStage(ExecutionStageEvent) - Method in class meka.gui.experimenter.AbstractSetupTab
Gets called when the experiment enters a new stage.
experimentStage(ExecutionStageEvent) - Method in class meka.gui.experimenter.Experimenter
Gets called when the experiment enters a new stage.
experimentStage(ExecutionStageEvent) - Method in class meka.gui.experimenter.LogTab
Gets called when the experiment enters a new stage.
experimentStage(ExecutionStageEvent) - Method in class meka.gui.experimenter.Statistics
Gets called when the experiment enters a new stage.
ExperimentUtils - Class in meka.experiment
Experiment related methods.
ExperimentUtils() - Constructor for class meka.experiment.ExperimentUtils
 
ExpertSetup - Class in meka.gui.experimenter
Tab for setting up a experiment in expert mode.
ExpertSetup() - Constructor for class meka.gui.experimenter.ExpertSetup
 
Explorer - Class in meka.gui.explorer
Explorer GUI for MEKA.
Explorer() - Constructor for class meka.gui.explorer.Explorer
 
ExplorerDefinition - Class in meka.gui.guichooser
Launches the Explorer.
ExplorerDefinition() - Constructor for class meka.gui.guichooser.ExplorerDefinition
 
export(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.AbstractEvaluationStatisticsExporter
Exports the statistics.
export(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.AbstractFileBasedEvaluationStatisticsExporter
Exports the statistics.
export(List<EvaluationStatistics>) - Method in interface meka.experiment.statisticsexporters.EvaluationStatisticsExporter
Exports the statistics.
export() - Method in class meka.gui.dataviewer.DataViewerDialog
Exports the data to a file.
exportersTipText() - Method in class meka.experiment.statisticsexporters.MultiExporter
Describes this property.
exporterTipText() - Method in class meka.experiment.statisticsexporters.AbstractMetaEvaluationStatisticsExporter
Describes this property.
ExtensionFileFilterComparator - Class in meka.gui.choosers
Comparator for file filters.
ExtensionFileFilterComparator() - Constructor for class meka.gui.choosers.ExtensionFileFilterComparator
 
ExtensionFileFilterWithClass - Class in meka.gui.choosers
A custom filter class that stores the associated class along the description and extensions.
ExtensionFileFilterWithClass(String, String, String) - Constructor for class meka.gui.choosers.ExtensionFileFilterWithClass
Constructs a filter that matches files with the given extension, not case-sensitive.
ExtensionFileFilterWithClass(String[], String, String) - Constructor for class meka.gui.choosers.ExtensionFileFilterWithClass
Constructs a filter that matches files with the given extension, not case-sensitive.
extractPart(Instances, boolean) - Method in class meka.classifiers.multilabel.LabelTransformationClassifier
Returns a new set of instances either only with the labels (labels = true) or only the features (labels = false)
extractValues(Instances) - Static method in class meka.core.SuperLabelUtils
Returns a map of values for this multi-class Instances.

F

F - Class in meka.core
F.java - transform/Filter Operations on instances.
F() - Constructor for class meka.core.F
 
F(Instances) - Static method in class meka.core.StatUtils
F - Relative frequency matrix (between p(j),p(k) and p(j,k)) in dataset D.
F1(int[], int[]) - Static method in class meka.core.Metrics
F1 - the F1 measure for two sets.
fastLearnTipText() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
FileBasedEvaluationStatisticsExporter - Interface in meka.experiment.statisticsexporters
Interface for file-based statistics exporters.
FileBasedEvaluationStatisticsHandler - Interface in meka.experiment.evaluationstatistics
Interface for file-based statistics handlers.
FileBasedMeasurementEvaluationStatisticsExporter - Interface in meka.experiment.statisticsexporters
Interface for file-based statistics exporters for a single measurement.
FileChooserBookmarksFactory() - Constructor for class meka.gui.core.FileChooserBookmarksPanel.FileChooserBookmarksFactory
 
FileChooserBookmarksPanel - Class in meka.gui.core
Panel for bookmarking directories in a JFileChooser.
FileChooserBookmarksPanel() - Constructor for class meka.gui.core.FileChooserBookmarksPanel
 
FileChooserBookmarksPanel.FileChooserBookmarksFactory - Class in meka.gui.core
MEKA-specific factory.
FileChooserBookmarksPanel.FileChooserBookmarksPropertiesHandler - Class in meka.gui.core
The MEKA-specific properties handler.
FileChooserBookmarksPropertiesHandler() - Constructor for class meka.gui.core.FileChooserBookmarksPanel.FileChooserBookmarksPropertiesHandler
 
FileFormatSupporter - Interface in meka.core
For classes that support file formats.
FILENAME - Static variable in class meka.core.Version
the file name.
FILENAME - Static variable in class meka.gui.core.FileChooserBookmarksPanel
the properties to store the bookmarks in.
FILENAME - Static variable in class meka.gui.core.GUIHelper
the name of the props file.
fileTipText() - Method in class meka.experiment.evaluationstatistics.AbstractFileBasedEvaluationStatisticsHandler
Describes this property.
fileTipText() - Method in interface meka.experiment.evaluationstatistics.FileBasedEvaluationStatisticsHandler
Describes this property.
fileTipText() - Method in class meka.experiment.statisticsexporters.AbstractFileBasedEvaluationStatisticsExporter
Describes this property.
fileTipText() - Method in interface meka.experiment.statisticsexporters.FileBasedEvaluationStatisticsExporter
Describes this property.
FileTypeDeterminingFileChooser<R,W> - Interface in meka.gui.choosers
Interface for file choosers that support the determination of readers and writers based on filenames (namely extensions).
FileUtils - Class in meka.core
Utility class for I/O related actions.
FileUtils() - Constructor for class meka.core.FileUtils
 
fillCol(double[][], int, double) - Static method in class meka.core.MatrixUtils
 
fillRow(double[][], int, double) - Static method in class meka.core.MatrixUtils
 
filter(List<EvaluationStatistics>) - Method in class meka.experiment.statisticsexporters.WekaFilter
Filters the statistics using the specified filter.
filterData(Filter, String) - Method in class meka.gui.explorer.PreprocessTab
Filters the data with the specified filter.
FilteredClassifier - Class in meka.classifiers.multilabel.meta
Allows the application of a filter in conjunction with a multi-label classifier.
FilteredClassifier() - Constructor for class meka.classifiers.multilabel.meta.FilteredClassifier
Default constructor.
FilteredClassifier - Class in meka.classifiers.multitarget.meta
Allows the application of a filter in conjunction with a multi-target classifier.
FilteredClassifier() - Constructor for class meka.classifiers.multitarget.meta.FilteredClassifier
Default constructor.
filterTipText() - Method in class meka.experiment.statisticsexporters.WekaFilter
Describes this property.
find(String) - Static method in class meka.core.PropsUtils
Locates the properties file in the current classpath.
findView(PropertyEditor) - Static method in class meka.gui.goe.GenericObjectEditor
Tries to determine a view for the editor.
finish() - Method in class meka.experiment.datasetproviders.AbstractDatasetProvider
Gets called after the experiment finishes.
finish() - Method in interface meka.experiment.datasetproviders.DatasetProvider
Gets called after the experiment finishes.
finish() - Method in class meka.experiment.DefaultExperiment
Finishes the experiment.
finish() - Method in class meka.experiment.evaluationstatistics.AbstractEvaluationStatisticsHandler
Gets called after the experiment finished.
finish() - Method in interface meka.experiment.evaluationstatistics.EvaluationStatisticsHandler
Gets called after the experiment finished.
finish() - Method in class meka.experiment.evaluationstatistics.KeyValuePairs
Gets called after the experiment finished.
finish() - Method in class meka.experiment.evaluationstatistics.Serialized
Gets called after the experiment finished.
finish() - Method in interface meka.experiment.Experiment
Finishes the experiment.
finishBusy() - Method in class meka.gui.core.StatusBar
Stops the animated icon, without setting status message.
finishBusy(String) - Method in class meka.gui.core.StatusBar
Stops the animated icon, setting the specified status message.
finishBusy() - Method in class meka.gui.experimenter.AbstractExperimenterTab
Stops the animated icon, without setting status message.
finishBusy(String) - Method in class meka.gui.experimenter.AbstractExperimenterTab
Stops the animated icon, setting the specified status message.
finishBusy() - Method in class meka.gui.explorer.AbstractExplorerTab
Stops the animated icon, without setting status message.
finishBusy(String) - Method in class meka.gui.explorer.AbstractExplorerTab
Stops the animated icon, setting the specified status message.
finishInit() - Method in class meka.gui.core.MekaDialog
finishes the initialization, by setting size/location.
finishInit() - Method in class meka.gui.core.MekaFrame
finishes the initialization, by setting size/location.
finishInit() - Method in class meka.gui.core.MekaPanel
Finishes the initialization.
finishInit() - Method in class meka.gui.experimenter.AbstractSetupTab
Finishes the GUI setup.
finishInit() - Method in class meka.gui.experimenter.Experimenter
Finishes the initialization.
finishInit() - Method in class meka.gui.explorer.Explorer
Finishes the initialization.
fixRelationName(Instances) - Static method in class meka.core.MLUtils
Fixes the relation name by adding the "-C" attribute to it if necessary.
fixRelationName(Instances, int) - Static method in class meka.core.MLUtils
Fixes the relation name by adding the "-C" attribute to it if necessary.
flatten(int[][]) - Static method in class meka.core.MatrixUtils
Flatten - turn Matrix [0 1; 2 3] into vector [0 1 2 3].
flatten(double[][]) - Static method in class meka.core.MatrixUtils
Flatten - turn Matrix [0.
flatten(List, String) - Static method in class meka.core.ObjectUtils
Flattens the list into a single, long string.
flatten(Object[], String) - Static method in class meka.core.ObjectUtils
Flattens the array into a single, long string.
floor(Key) - Method in class meka.classifiers.multilabel.neurofuzzy.ST
Returns the largest key in the symbol table less than or equal to key.
forwardPass(double[][]) - Method in class meka.classifiers.multilabel.BPNN
Forward Pass - Given input X_, get output of all layers Z[0]...
freeNetworks() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
fromBitString(String) - Static method in class meka.core.MLUtils
FromBitString - returns a double[] representation of s.
fromCommandLine(Class<T>, String) - Static method in class meka.core.OptionUtils
Turns a commandline into an object.
fromExperiment() - Method in class meka.gui.experimenter.AbstractSetupTab
Maps the experiment onto the parameters.
fromExperiment() - Method in class meka.gui.experimenter.BasicSetup
Maps the experiment onto the parameters.
fromExperiment() - Method in class meka.gui.experimenter.ExpertSetup
Maps the experiment onto the parameters.
fromInstances(Instances) - Method in class meka.experiment.statisticsexporters.WekaFilter
Converts the Instances back into statistics.
fromSparseString(String) - Static method in class meka.core.MLUtils
From Sparse String - From a sparse String representation, e.g., [1,34,73], to a binary int[] where those indices are set to 1.
fromString(String) - Method in class meka.gui.core.AbstractRecentItemsHandler
Turns the string obtained from the props into an object again.
fromString(String) - Method in class meka.gui.core.RecentFilesHandler
Turns the string obtained from the props into an object again.
fromString(String) - Method in class meka.gui.core.RecentFilesHandlerWithCommandline
Turns the string obtained from the props into an object again.
FW - Class in meka.classifiers.multilabel
FW.java Four-class pairWise classification.
FW() - Constructor for class meka.classifiers.multilabel.FW
 

G

gen_indices(int) - Static method in class meka.core.MLUtils
Deprecated.
generatePartition(int) - Static method in class meka.core.SuperLabelUtils
generatePartition - return [[0],...,[L-1]].
generatePartition(int[], Random) - Static method in class meka.core.SuperLabelUtils
generatePartition - .
generatePartition(int[], int, Random) - Static method in class meka.core.SuperLabelUtils
Generate a random Partition.
generatePartition(int[], int, Random, boolean) - Static method in class meka.core.SuperLabelUtils
Generate Random Partition
GenericObjectEditor - Class in meka.gui.goe
An extended GOE to cater for the multi-label classifiers.
GenericObjectEditor() - Constructor for class meka.gui.goe.GenericObjectEditor
Default constructor.
GenericObjectEditor(boolean) - Constructor for class meka.gui.goe.GenericObjectEditor
Constructor that allows specifying whether it is possible to change the class within the editor dialog.
GenericObjectEditorDialog - Class in meka.gui.goe
Displays a GenericObjectEditor.
GenericObjectEditorDialog(Dialog) - Constructor for class meka.gui.goe.GenericObjectEditorDialog
Creates a modeless dialog without a title with the specified Dialog as its owner.
GenericObjectEditorDialog(Dialog, Dialog.ModalityType) - Constructor for class meka.gui.goe.GenericObjectEditorDialog
Creates a dialog with the specified owner Dialog and modality.
GenericObjectEditorDialog(Dialog, String) - Constructor for class meka.gui.goe.GenericObjectEditorDialog
Creates a modeless dialog with the specified title and with the specified owner dialog.
GenericObjectEditorDialog(Dialog, String, Dialog.ModalityType) - Constructor for class meka.gui.goe.GenericObjectEditorDialog
Creates a dialog with the specified title, modality and the specified owner Dialog.
GenericObjectEditorDialog(Frame) - Constructor for class meka.gui.goe.GenericObjectEditorDialog
Creates a modeless dialog without a title with the specified Frame as its owner.
GenericObjectEditorDialog(Frame, boolean) - Constructor for class meka.gui.goe.GenericObjectEditorDialog
Creates a dialog with the specified owner Frame, modality and an empty title.
GenericObjectEditorDialog(Frame, String) - Constructor for class meka.gui.goe.GenericObjectEditorDialog
Creates a modeless dialog with the specified title and with the specified owner frame.
GenericObjectEditorDialog(Frame, String, boolean) - Constructor for class meka.gui.goe.GenericObjectEditorDialog
Creates a dialog with the specified owner Frame, modality and title.
GenericPropertiesCreator - Class in meka.gui.goe
Custom GOE props creator, to include the MEKA classes.
GenericPropertiesCreator() - Constructor for class meka.gui.goe.GenericPropertiesCreator
initializes the creator, locates the props file with the Utils class.
get(int) - Method in class meka.classifiers.multilabel.neurofuzzy.SparseArray
Gets the Object mapped from the specified key, or null if no such mapping has been made.
get(int, Double) - Method in class meka.classifiers.multilabel.neurofuzzy.SparseArray
Gets the Object mapped from the specified key, or the specified Object if no such mapping has been made.
get(int) - Method in class meka.classifiers.multilabel.neurofuzzy.SparseVector
 
get(Key) - Method in class meka.classifiers.multilabel.neurofuzzy.ST
Returns the value associated with the given key.
get(int) - Method in class meka.gui.core.ResultHistory
Returns the specified history item.
get_k_subset(int, int, Random) - Static method in class meka.core.SuperLabelUtils
Get k subset - return a set of k label indices (of L possible labels).
getAction() - Method in class meka.gui.experimenter.menu.AbstractExperimenterMenuItem
Returns the action.
getActionListener(ResultHistoryList, int) - Method in class meka.gui.explorer.AbstractResultHistoryPlugin
Returns the action lister to use in the menu.
getActionListener(T) - Method in class meka.gui.explorer.AbstractTabMenuItem
Returns the action lister to use in the menu.
getActionListener(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.AbstractShowThresholdCurve
Returns the action lister to use in the menu.
getActionListener(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.CopyModelSetup
Returns the action lister to use in the menu.
getActionListener(ClassifyTab) - Method in class meka.gui.explorer.classify.EditTestData
Returns the action lister to use in the menu.
getActionListener(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.IncrementalPerformance
Returns the action lister to use in the menu.
getActionListener(ClassifyTab) - Method in class meka.gui.explorer.classify.OpenModel
Returns the action lister to use in the menu.
getActionListener(ClassifyTab) - Method in class meka.gui.explorer.classify.OpenTestData
Returns the action lister to use in the menu.
getActionListener(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.PredictionsOnTestset
Returns the action lister to use in the menu.
getActionListener(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.ReevaluateModelOnTestset
Returns the action lister to use in the menu.
getActionListener(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.SaveCSV
Returns the action lister to use in the menu.
getActionListener(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.SaveGraphs
Returns the action lister to use in the menu.
getActionListener(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.SaveModel
Returns the action lister to use in the menu.
getActionListener(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.SavePredictions
Returns the action lister to use in the menu.
getActionListener(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.ShowGraphs
Returns the action lister to use in the menu.
getActionListener(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.ShowMacroCurve
Returns the action lister to use in the menu.
getActionListener(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.ShowMicroCurve
Returns the action lister to use in the menu.
getActualNumThreads(int, int) - Static method in class meka.core.ThreadUtils
Calculates the number of threads to use.
getActualRow(int) - Method in interface meka.gui.core.SearchableTable
Returns the actual row in the model.
getActualRow(int) - Method in interface meka.gui.core.SearchableTableModel
Returns the actual row in the model.
getActualRow(int) - Method in class meka.gui.core.SortableAndSearchableTable
Returns the actual underlying row the given visible one represents.
getActualRow(int) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns the actual underlying row the given visible one represents.
getActualRow(int) - Method in interface meka.gui.core.SortableTableModel
Returns the actual underlying row the given visible one represents.
getActualRowCount() - Method in interface meka.gui.core.SearchableTable
Returns the actual row count in the model.
getActualRowCount() - Method in interface meka.gui.core.SearchableTableModel
Returns the actual row count in the model.
getActualRowCount() - Method in class meka.gui.core.SortableAndSearchableTable
Returns the actual row count in the model.
getActualRowCount() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns the actual row count in the model.
getAggregationKeys() - Method in interface meka.experiment.statisticsexporters.AggregatedEvaluationStatisticsExporter
Returns the blank-separated list of keys used for aggregating.
getAggregationKeys() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Returns the blank-separated list of keys used for aggregating.
getAllSubsets(LabelSet, HashMap<LabelSet, Integer>) - Static method in class meka.core.PSUtils
GetAllSubsets - Get all frequent subsets of 'y' according to 'map'.
getApproveButton() - Method in class meka.gui.core.ApprovalDialog
Returns the approve button.
getApproveCaption() - Method in class meka.gui.core.ApprovalDialog
Returns the caption/text of the approve button.
getApproveMnemonic() - Method in class meka.gui.core.ApprovalDialog
Returns the mnemonic of the approve button.
getApproxC(Instances) - Static method in class meka.core.StatUtils
GetApproxP - A fast version of getC(D), based on frequent sets.
getApproxP(Instances) - Static method in class meka.core.StatUtils
GetApproxP - A fast version of getP(D), based on frequent sets.
getAttributeAt(int) - Method in class meka.gui.dataviewer.DataSortedTableModel
returns the attribute at the given index, can be NULL if not an attribute column
getAttributeAt(int) - Method in class meka.gui.dataviewer.DataTableModel
returns the attribute at the given index, can be NULL if not an attribute column
getAttributeColumn(String) - Method in class meka.gui.dataviewer.DataSortedTableModel
returns the column of the given attribute name, -1 if not found
getAttributeColumn(String) - Method in class meka.gui.dataviewer.DataTableModel
returns the column of the given attribute name, -1 if not found
getAttributeIndices() - Method in class meka.filters.unsupervised.attribute.MekaClassAttributes
Get the current range selection
getAttributes() - Method in class meka.gui.dataviewer.DataPanel
returns a list with the attributes
getAttSizePercent() - Method in class meka.classifiers.multilabel.meta.RandomSubspaceML
Gets the percentage of attributes to sample from the original set.
getAvailableProcessors() - Static method in class meka.core.ThreadUtils
Returns the available number of processors on the machine.
getBagSizePercent() - Method in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
 
getBeta() - Method in class meka.classifiers.multilabel.PMCC
Get the temperature factor
getBitness() - Static method in class meka.core.OS
Returns the "bitness", ie 32 or 64 bit of the underlying OS.
getButton() - Method in class meka.gui.guichooser.AbstractMenuItemDefinition
Returns the shortcut button.
getButtonCaption() - Method in class meka.gui.core.SearchPanel
Returns the current caption of the search button (incl.
getC(Instances) - Static method in class meka.core.StatUtils
GetC - Get pairwise co-ocurrence counts from the training data D.
getCancelButton() - Method in class meka.gui.core.ApprovalDialog
Returns the cancel button.
getCancelCaption() - Method in class meka.gui.core.ApprovalDialog
Returns the caption/text of the Cancel button.
getCancelMnemonic() - Method in class meka.gui.core.ApprovalDialog
Returns the mnemonic of the Cancel button.
getCapabilities() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
 
getCapabilities() - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
 
getCapabilities() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
getCapabilities() - Method in class meka.classifiers.multilabel.ProblemTransformationMethod
 
getCapabilities() - Method in class meka.classifiers.multitarget.NSR
 
getCapabilities() - Method in class meka.filters.unsupervised.attribute.MekaClassAttributes
Returns the Capabilities of this filter.
getCaretPosition() - Method in class meka.gui.core.MarkdownTextAreaWithPreview
Returns the current caret position.
getCaretPosition() - Method in class meka.gui.core.MarkdownTextPane
Returns the current position of the cursor.
getCellEditor(int, int) - Method in class meka.gui.dataviewer.DataTable
returns the cell editor for the given cell
getCellEditorValue() - Method in class meka.gui.dataviewer.DataTable.RelationalCellEditor
Returns the value contained in the editor.
getCenteredLeft() - Method in class meka.gui.dataviewer.DataViewer
returns the left coordinate if the frame would be centered
getCenteredTop() - Method in class meka.gui.dataviewer.DataViewer
returns the top coordinate if the frame would be centered
getChainIterations() - Method in class meka.classifiers.multilabel.MCC
Get the iterations of s (chain order)
getChooseClassPopupMenu() - Method in class meka.gui.goe.GenericObjectEditor
Returns a popup menu that allows the user to change the class of object.
getClassesFromProperties() - Method in class meka.gui.goe.GenericObjectEditor
Called when the class of object being edited changes.
getClassifier() - Method in class meka.classifiers.multilabel.cc.CNode
Returns the underlying classifier.
getClassifier() - Method in class meka.experiment.evaluationstatistics.EvaluationStatistics
Returns the classifier for these statistics.
getClassifier() - Method in class meka.experiment.events.IterationNotificationEvent
Returns the classifier.
getClassifier(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.AbstractClassifyResultHistoryPlugin
Returns the classifier from the history list.
getClassifier() - Method in class meka.gui.explorer.ClassifyTab
Returns the current classifier.
getClassifiers() - Method in class meka.experiment.DefaultExperiment
Returns the classifiers to be evaluated.
getClassifiers() - Method in interface meka.experiment.Experiment
Returns the classifiers to be evaluated.
getClassname() - Method in class meka.gui.choosers.ExtensionFileFilterWithClass
Returns the associated classname.
getClassType() - Method in class meka.gui.goe.GenericObjectEditor
Returns the class of values that can be edited.
getClosest(HashMap<String, CC>, String) - Static method in class meka.classifiers.multilabel.PMCC
GetClosest - returns the 'CC' in 'map' which is built on the sequence most matched to 'sequence'.
getClusterVigilance() - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
 
getCol(double[][], int) - Static method in class meka.core.MatrixUtils
GetCol - return the k-th column of M (as a vector).
getCol(int[][], int) - Static method in class meka.core.MatrixUtils
GetCol - return the k-th column of M (as a vector).
getColumnClass(int) - Method in class meka.gui.core.EvaluationStatisticsTableModel
Returns the type of the column.
getColumnClass(int) - Method in class meka.gui.core.MeasurementEvaluationStatisticsTableModel
Returns the type of the column.
getColumnClass(int) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns the most specific superclass for all the cell values in the column.
getColumnClass(int) - Method in class meka.gui.dataviewer.DataTableModel
returns the most specific superclass for all the cell values in the column (always String)
getColumnClassForComparison(int) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns the class of the column.
getColumnCount() - Method in class meka.gui.core.EvaluationStatisticsTableModel
The number of columns in this model.
getColumnCount() - Method in class meka.gui.core.MeasurementEvaluationStatisticsTableModel
The number of columns in this model.
getColumnCount() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns the number of columns in the model.
getColumnCount() - Method in class meka.gui.dataviewer.DataTableModel
returns the number of columns in the model
getColumnName(int) - Method in class meka.gui.core.EvaluationStatisticsTableModel
Returns the name of the column.
getColumnName(int) - Method in class meka.gui.core.MeasurementEvaluationStatisticsTableModel
Returns the name of the column.
getColumnName(int) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns the name of the column at columnIndex.
getColumnName(int) - Method in class meka.gui.dataviewer.DataTableModel
returns the name of the column at columnIndex
getColumns() - Method in class meka.gui.core.MarkdownTextAreaWithPreview
Returns the columns.
getCommandLine() - Method in class meka.experiment.evaluationstatistics.EvaluationStatistics
Returns the commandline of the classifier for these statistics.
getCompression() - Method in class meka.classifiers.multilabel.Maniac
Get the Compression value.
getConfidences() - Method in class meka.classifiers.multilabel.CC
GetConfidences - get the posterior probabilities of the previous prediction (after calling distributionForInstance(x)).
getConfirmationDialog(Dialog) - Static method in class meka.gui.core.ApprovalDialog
Returns a basic (modal) confirmation dialog (yes/no/cancel).
getConfirmationDialog(Dialog, Dialog.ModalityType) - Static method in class meka.gui.core.ApprovalDialog
Returns a basic confirmation dialog (yes/no/cancel).
getConfirmationDialog(Frame) - Static method in class meka.gui.core.ApprovalDialog
Returns a basic (modal) confirmation dialog (yes/no/cancel).
getConfirmationDialog(Frame, boolean) - Static method in class meka.gui.core.ApprovalDialog
Returns a basic confirmation dialog (yes/no/cancel).
getConfirmExit() - Method in class meka.gui.dataviewer.DataViewer
returns the setting of whether to display a confirm messagebox or not on exit
getConfirmExit() - Method in class meka.gui.dataviewer.DataViewerMainPanel
returns the setting of whether to display a confirm messagebox or not on exit
getContentPanel() - Method in class meka.gui.core.ApprovalDialog
Returns the panel to add the content to.
getCountKey() - Method in class meka.gui.core.AbstractRecentItemsHandler
Returns the key to use for the counts in the props file.
getCountKey() - Method in class meka.gui.core.RecentFilesHandler
Returns the key to use for the counts in the props file.
getCountKey() - Method in class meka.gui.core.RecentFilesHandlerWithCommandline
Returns the key to use for the counts in the props file.
getCounts(Instances, int[], int) - Static method in class meka.core.SuperLabelUtils
Return a set of all the combinations of attributes at 'indices' in 'D', pruned by 'p'; AND THEIR COUNTS, e.g., {(00:3),(01:8),(11:3))}.
getCounts(Instances, int[], int) - Static method in class meka.filters.multilabel.SuperNodeFilter
Return a set of all the combinations of attributes at 'indices' in 'D', pruned by 'p'; AND THEIR COUNTS, e.g., {(00:3),(01:8),(11:3))}.
getCurrent() - Method in class meka.gui.goe.GenericObjectEditorDialog
Returns the current object.
getCurrentData() - Method in class meka.gui.explorer.Explorer
Returns the currently loaded data.
getCurrentExperiment() - Method in class meka.gui.experimenter.Experimenter
Returns the current experiment, null if not available.
getCurrentFile() - Method in class meka.gui.experimenter.Experimenter
Returns the filename of the currently loaded data.
getCurrentFile() - Method in class meka.gui.explorer.Explorer
Returns the filename of the currently loaded data.
getCurrentFilename() - Method in class meka.gui.dataviewer.DataViewerMainPanel
returns the filename of the current tab
getCurrentIndex() - Method in class meka.gui.dataviewer.DataViewerMainPanel
returns the currently selected tab index
getCurrentPanel() - Method in class meka.gui.dataviewer.DataViewerMainPanel
returns the currently selected panel
getData() - Method in class meka.gui.explorer.AbstractExplorerTab
Returns the current data.
getDataset() - Method in class meka.experiment.events.IterationNotificationEvent
Returns the dataset.
getDatasetName(Instances) - Static method in class meka.core.MLUtils
GetDataSetName - Look for name in the 'relationName' in format 'dataset-name: options'
getDatasetOptions(Instances) - Static method in class meka.core.MLUtils
GetDataSetOptions - Look for options in the 'relationName' in format 'dataset-name: options'
getDatasetProvider() - Method in class meka.experiment.DefaultExperiment
Returns the dataset provider in use.
getDatasetProvider() - Method in interface meka.experiment.Experiment
Returns the dataset provider in use.
getDatasets() - Method in class meka.experiment.datasetproviders.LocalDatasetProvider
Returns the datasets to use in the experiment.
getDebug() - Method in interface meka.classifiers.multilabel.MultiLabelClassifier
Get whether debugging is turned on.
getDebug() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
 
getDebug() - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
 
getDebug() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
getDebug() - Method in interface meka.classifiers.multitarget.MultiTargetClassifier
Get whether debugging is turned on.
getDefaultAggregationKeys() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Returns the default keys used for aggregation.
getDefaultClassifier() - Method in class meka.classifiers.multilabel.LabelTransformationClassifier
 
getDefaultClassifier() - Method in class meka.classifiers.multilabel.Maniac
Change default classifier to CR with Linear Regression as base as this classifier uses numeric values in the compressed labels.
getDefaultClassifier() - Method in class meka.classifiers.multilabel.PLST
Change default classifier to CR with Linear Regression as base as this classifier uses numeric values in the compressed labels.
getDefaultCompression() - Method in class meka.classifiers.multilabel.Maniac
Returns the default compression, 0.85 seems to be a good value for most settings.
getDefaultDatasetProvider() - Method in class meka.experiment.DefaultExperiment
Returns the default dataset provider.
getDefaultDimensions(String, int, int) - Static method in class meka.gui.core.GUIHelper
Returns the default dimensions for this prefix.
getDefaultEvaluator() - Method in class meka.experiment.DefaultExperiment
Returns the default evaluator to use.
getDefaultEvaluator() - Method in class meka.experiment.evaluators.AbstractMetaEvaluator
Returns the default evaluator to use.
getDefaultEvaluator() - Method in class meka.experiment.evaluators.RepeatedRuns
Returns the default evaluator to use.
getDefaultExporter() - Method in class meka.experiment.statisticsexporters.AbstractMetaEvaluationStatisticsExporter
Returns the default exporter to use.
getDefaultExporter() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Returns the default exporter to use.
getDefaultExporter() - Method in class meka.experiment.statisticsexporters.WekaFilter
Returns the default exporter to use.
getDefaultExporters() - Method in class meka.experiment.statisticsexporters.MultiExporter
Returns the default exporters to use.
getDefaultFile() - Method in class meka.experiment.evaluationstatistics.AbstractFileBasedEvaluationStatisticsHandler
Returns the default file.
getDefaultFile() - Method in class meka.experiment.statisticsexporters.AbstractFileBasedEvaluationStatisticsExporter
Returns the default file.
getDefaultFileFilter(int) - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Returns the default file filter to use.
getDefaultFileFilter(int) - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
Returns the default file filter to use.
getDefaultFilter() - Method in class meka.experiment.statisticsexporters.WekaFilter
Returns the default keys used for aggregation.
getDefaultFrameDimensions() - Static method in class meka.gui.core.GUIHelper
Returns the default frame dimensions.
getDefaultFrameDimensions(Class) - Static method in class meka.gui.core.GUIHelper
Returns the default frame dimensions for this class.
getDefaultFrameIcon(Class) - Static method in class meka.gui.core.GUIHelper
Returns the default icon name for this frame class.
getDefaultLowerRuns() - Method in class meka.experiment.evaluators.RepeatedRuns
Returns the default lower number of runs to perform.
getDefaultMeasurement() - Method in class meka.experiment.statisticsexporters.AbstractMeasurementEvaluationStatisticsExporter
Returns the default exporters to use.
getDefaultNumberAutoencoders() - Method in class meka.classifiers.multilabel.Maniac
Returns the default number of autoencoders, set to 4, which seems to be good choice for most problems.
getDefaultNumFolds() - Method in class meka.experiment.evaluators.CrossValidation
Gets the number of folds.
getDefaultNumThreads() - Method in class meka.experiment.evaluators.CrossValidation
Returns the default number of threads to use.
getDefaultNumThreads() - Method in class meka.experiment.evaluators.RepeatedRuns
Returns the default number of threads to use.
getDefaultOptimizeAE() - Method in class meka.classifiers.multilabel.Maniac
Tge default setting for optimizing the autoencoders.
getDefaultProviders() - Method in class meka.experiment.datasetproviders.MultiDatasetProvider
Returns the default dataset providers to use.
getDefaultReader() - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Returns the default reader.
getDefaultReader() - Method in class meka.gui.choosers.EvaluationStatisticsExporterFileChooser
Returns the default reader.
getDefaultReader() - Method in class meka.gui.choosers.EvaluationStatisticsFileChooser
Returns the default reader.
getDefaultReader() - Method in class meka.gui.choosers.ExperimentFileChooser
Returns the default reader.
getDefaultReader() - Method in class meka.gui.choosers.MeasurementEvaluationStatisticsExporterFileChooser
Returns the default reader.
getDefaultSeed() - Method in class meka.classifiers.multilabel.CC
 
getDefaultSeed() - Method in class meka.experiment.evaluators.CrossValidation
Gets the default seed for the random number generations
getDefaultSeed() - Method in class meka.experiment.evaluators.PercentageSplit
Gets the default seed for the random number generations
getDefaultSize() - Method in class meka.classifiers.multilabel.MLCBMaD
Default size = 20, seems to be a good choice for most data sets.
getDefaultSize() - Method in class meka.classifiers.multilabel.PLST
The default size, set to 5.
getDefaultStatisticsHandler() - Method in class meka.experiment.DefaultExperiment
Returns the default statistics handler.
getDefaultSuffixCount() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Returns the default suffix for the count.
getDefaultSuffixMean() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Returns the default suffix for the mean.
getDefaultSuffixStdDev() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Returns the default suffix for the stddev.
getDefaultThreshold() - Method in class meka.classifiers.multilabel.MLCBMaD
Default threshold = 0.5, has to be in at least half of the rows.
getDefaultThreshold() - Method in class meka.experiment.evaluators.CrossValidation
Gets the default threshold option.
getDefaultThreshold() - Method in class meka.experiment.evaluators.PercentageSplit
Gets the default threshold option.
getDefaultTrainPercentage() - Method in class meka.experiment.evaluators.PercentageSplit
Gets the default percentage to use for training.
getDefaultUpperRuns() - Method in class meka.experiment.evaluators.RepeatedRuns
Returns the default upper number of runs to perform.
getDefaultVerbosity() - Method in class meka.experiment.evaluators.CrossValidation
Gets the default threshold option.
getDefaultVerbosity() - Method in class meka.experiment.evaluators.PercentageSplit
Gets the default threshold option.
getDefaultWriter() - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Returns the default writer.
getDefaultWriter() - Method in class meka.gui.choosers.EvaluationStatisticsExporterFileChooser
Returns the default writer.
getDefaultWriter() - Method in class meka.gui.choosers.EvaluationStatisticsFileChooser
Returns the default writer.
getDefaultWriter() - Method in class meka.gui.choosers.ExperimentFileChooser
Returns the default writer.
getDefaultWriter() - Method in class meka.gui.choosers.MeasurementEvaluationStatisticsExporterFileChooser
Returns the default writer.
getDefaultXColumn() - Method in class meka.gui.explorer.classify.AbstractShowThresholdCurve
Returns the name of the default X column to display.
getDefaultXColumn() - Method in class meka.gui.explorer.classify.ShowMacroCurve
Returns the name of the default X column to display.
getDefaultXColumn() - Method in class meka.gui.explorer.classify.ShowMicroCurve
Returns the name of the default X column to display.
getDefaultXColumn() - Method in class meka.gui.explorer.classify.ShowPrecisionRecall
Returns the name of the default X column to display.
getDefaultXColumn() - Method in class meka.gui.explorer.classify.ShowROC
Returns the name of the default X column to display.
getDefaultYColumn() - Method in class meka.gui.explorer.classify.AbstractShowThresholdCurve
Returns the name of the default Y column to display.
getDefaultYColumn() - Method in class meka.gui.explorer.classify.ShowMacroCurve
Returns the name of the default Y column to display.
getDefaultYColumn() - Method in class meka.gui.explorer.classify.ShowMicroCurve
Returns the name of the default Y column to display.
getDefaultYColumn() - Method in class meka.gui.explorer.classify.ShowPrecisionRecall
Returns the name of the default Y column to display.
getDefaultYColumn() - Method in class meka.gui.explorer.classify.ShowROC
Returns the name of the default Y column to display.
getDefinitions() - Static method in class meka.gui.guichooser.AbstractMenuItemDefinition
Returns all the available menu items.
getDensity() - Method in class meka.classifiers.multilabel.CDT
GetDensity - Get the neighbourhood density (number of neighbours for each node).
getDensity() - Method in class meka.classifiers.multilabel.CT
GetDensity - Get the neighbourhood density (number of neighbours for each node).
getDependencyMetric() - Method in class meka.classifiers.multilabel.CDT
GetDependency - Get the type of depependency to use in rearranging the trellis (None by default)
getDependencyMetric() - Method in class meka.classifiers.multilabel.CT
GetDependency - Get the type of depependency to use in rearranging the trellis
getDependencyType() - Method in class meka.classifiers.multilabel.BCC
 
getDialogType() - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
Returns the current dialog type.
getDim(double[][]) - Static method in class meka.core.MatrixUtils
 
getDim(Matrix) - Static method in class meka.core.MatrixUtils
 
getDirectoryDepth(File) - Static method in class meka.core.FileUtils
Returns the number of directories that this file object contains.
getDiscardButton() - Method in class meka.gui.core.ApprovalDialog
Returns the discard button.
getDiscardCaption() - Method in class meka.gui.core.ApprovalDialog
Returns the caption/text of the discard button.
getDiscardMnemonic() - Method in class meka.gui.core.ApprovalDialog
Returns the mnemonic of the discard button.
getDisplayRow(int) - Method in class meka.gui.core.SortableAndSearchableTable
Returns the "visible" row derived from row in the actual table model.
getDisplayRow(int) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns the "visible" row derived from row in the actual table model.
getDisplayRow(int) - Method in interface meka.gui.core.SortableTableModel
Returns the "visible" row derived from row in the actual table model.
getDocument() - Method in class meka.gui.core.MarkdownTextAreaWithPreview
Returns the underlying document.
getDocument() - Method in class meka.gui.core.MarkdownTextPane
Returns the underlying document.
getDownSampleRatio() - Method in class meka.classifiers.multilabel.BRq
 
getDownSampleRatio() - Method in class meka.classifiers.multilabel.CCq
Get the downsample ratio
getE() - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
 
getE() - Method in class rbms.RBM
 
getEditor() - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Returns the GOE, initializes it if necessary.
getEditor() - Method in class meka.gui.goe.GenericObjectEditorDialog
Returns the underlying editor.
getElementAt(int) - Method in class meka.gui.core.ResultHistoryList.ResultHistoryModel
Returns the element at the specified location.
getEmptyIcon() - Static method in class meka.gui.core.GUIHelper
Returns the ImageIcon for the empty icon.
getEvaluator() - Method in class meka.experiment.DefaultExperiment
Returns the evaluator in use.
getEvaluator() - Method in class meka.experiment.evaluators.AbstractMetaEvaluator
Returns the evaluator in use.
getEvaluator() - Method in interface meka.experiment.Experiment
Returns the evaluator in use.
getExitOnClose() - Method in class meka.gui.dataviewer.DataViewer
returns TRUE if a System.exit(0) is done on a close
getExitOnClose() - Method in class meka.gui.dataviewer.DataViewerMainPanel
returns TRUE if a System.exit(0) is done on a close
getExperiment() - Method in class meka.experiment.events.ExecutionStageEvent
Returns the associated experiment.
getExperiment() - Method in class meka.experiment.events.IterationNotificationEvent
Returns the associated experiment.
getExperiment() - Method in class meka.experiment.events.StatisticsNotificationEvent
Returns the associated experiment.
getExperiment() - Method in class meka.gui.experimenter.AbstractExperimenterTab
Returns the current experiment.
getExporter() - Method in class meka.experiment.statisticsexporters.AbstractMetaEvaluationStatisticsExporter
Returns the exporter in use.
getExporters() - Method in class meka.experiment.statisticsexporters.MultiExporter
Returns the exporter in use.
getExtension(File) - Static method in class meka.core.FileUtils
Returns the extension of the file, if any.
getExtension(String) - Static method in class meka.core.FileUtils
Returns the extension of the file, if any.
getExternalIcon(String) - Static method in class meka.gui.core.GUIHelper
Returns an ImageIcon from the given name.
getFastLearn() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
getFile() - Method in class meka.experiment.evaluationstatistics.AbstractFileBasedEvaluationStatisticsHandler
Returns the file to read from/write to.
getFile() - Method in interface meka.experiment.evaluationstatistics.FileBasedEvaluationStatisticsHandler
Returns the file to read from/write to.
getFile() - Method in class meka.experiment.statisticsexporters.AbstractFileBasedEvaluationStatisticsExporter
Returns the file to read from/write to.
getFile() - Method in interface meka.experiment.statisticsexporters.FileBasedEvaluationStatisticsExporter
Returns the file to read from/write to.
getFile() - Method in class meka.gui.core.RecentFilesHandlerWithCommandline.Setup
Returns the file.
getFileChooser() - Method in class meka.gui.explorer.classify.SaveCSV
Returns the file chooser to use for the data.
getFileChooser() - Method in class meka.gui.explorer.classify.SaveGraphs
Returns the file chooser to use for the graphs.
getFileChooser() - Method in class meka.gui.explorer.classify.SaveModel
Returns the file chooser to use for the models.
getFileChooser() - Method in class meka.gui.explorer.classify.SavePredictions
Returns the file chooser to use for the results.
getFileMustExist() - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
Returns whether the selected file must exist (only open dialog).
getFilename() - Method in class meka.gui.core.FileChooserBookmarksPanel.FileChooserBookmarksPropertiesHandler
The properties file in the $HOME/.meka directory.
getFilename() - Method in class meka.gui.dataviewer.DataPanel
returns the filename
getFilename(int) - Method in class meka.gui.dataviewer.DataViewerMainPanel
returns the filename of the specified panel
getFilter() - Method in class meka.experiment.statisticsexporters.WekaFilter
Returns the filter to use.
getFiltersInitialized() - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Returns whether the filters have already been initialized.
getFiltersInitialized() - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
Returns whether the filters have already been initialized.
getFiltersInitialized() - Method in class meka.gui.choosers.EvaluationStatisticsExporterFileChooser
Returns whether the filters have already been initialized.
getFiltersInitialized() - Method in class meka.gui.choosers.EvaluationStatisticsFileChooser
Returns whether the filters have already been initialized.
getFiltersInitialized() - Method in class meka.gui.choosers.ExperimentFileChooser
Returns whether the filters have already been initialized.
getFiltersInitialized() - Method in class meka.gui.choosers.MeasurementEvaluationStatisticsExporterFileChooser
Returns whether the filters have already been initialized.
getFolds() - Method in class meka.gui.explorer.ClassifyTabOptions
Returns the currently set folds value.
getFormatDescription() - Method in interface meka.core.FileFormatSupporter
Returns the format description.
getFormatDescription() - Method in interface meka.experiment.evaluationstatistics.FileBasedEvaluationStatisticsHandler
Returns the format description.
getFormatDescription() - Method in class meka.experiment.evaluationstatistics.KeyValuePairs
Returns the format description.
getFormatDescription() - Method in class meka.experiment.evaluationstatistics.Serialized
Returns the format description.
getFormatDescription() - Method in class meka.experiment.filehandlers.CommandLineSetup
A description of the file format.
getFormatDescription() - Method in interface meka.experiment.filehandlers.ExperimentFileHandler
A description of the file format.
getFormatDescription() - Method in class meka.experiment.filehandlers.SerializedExperiment
A description of the file format.
getFormatDescription() - Method in interface meka.experiment.statisticsexporters.FileBasedEvaluationStatisticsExporter
Returns the format description.
getFormatDescription() - Method in class meka.experiment.statisticsexporters.LatexMeasurement
Returns the format description.
getFormatDescription() - Method in class meka.experiment.statisticsexporters.TabSeparated
Returns the format description.
getFormatDescription() - Method in class meka.experiment.statisticsexporters.TabSeparatedMeasurement
Returns the format description.
getFormatExtensions() - Method in interface meka.core.FileFormatSupporter
Returns the format extension(s).
getFormatExtensions() - Method in interface meka.experiment.evaluationstatistics.FileBasedEvaluationStatisticsHandler
Returns the format extension(s).
getFormatExtensions() - Method in class meka.experiment.evaluationstatistics.KeyValuePairs
Returns the format extension(s).
getFormatExtensions() - Method in class meka.experiment.evaluationstatistics.Serialized
Returns the format extension(s).
getFormatExtensions() - Method in class meka.experiment.filehandlers.CommandLineSetup
Returns the format extensions.
getFormatExtensions() - Method in interface meka.experiment.filehandlers.ExperimentFileHandler
Returns the format extensions.
getFormatExtensions() - Method in class meka.experiment.filehandlers.SerializedExperiment
Returns the format extensions.
getFormatExtensions() - Method in interface meka.experiment.statisticsexporters.FileBasedEvaluationStatisticsExporter
Returns the format extension(s).
getFormatExtensions() - Method in class meka.experiment.statisticsexporters.LatexMeasurement
Returns the format extension(s).
getFormatExtensions() - Method in class meka.experiment.statisticsexporters.TabSeparated
Returns the format extension(s).
getFormatExtensions() - Method in class meka.experiment.statisticsexporters.TabSeparatedMeasurement
Returns the format extension(s).
getFrameTitle() - Method in class meka.gui.dataviewer.DataViewerMainPanel
returns the title (incl.
getGOEDialog(Class, Object) - Method in class meka.gui.experimenter.AbstractSetupTab
Returns a GOE dialog.
getGOEEditor() - Method in class meka.gui.goe.GenericObjectEditorDialog
Returns the underlying GOE editor.
getGroup() - Method in class meka.gui.explorer.AbstractResultHistoryPlugin
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.AbstractTabMenuItem
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.classify.AbstractShowThresholdCurve
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.classify.CopyModelSetup
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.classify.EditTestData
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.classify.IncrementalPerformance
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.classify.OpenModel
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.classify.OpenTestData
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.classify.PredictionsOnTestset
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.classify.ReevaluateModelOnTestset
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.classify.SaveCSV
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.classify.SaveGraphs
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.classify.SaveModel
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.classify.SavePredictions
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.classify.ShowGraphs
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.classify.ShowMacroCurve
Returns the group of the plugin.
getGroup() - Method in class meka.gui.explorer.classify.ShowMicroCurve
Returns the group of the plugin.
getGroup() - Method in class meka.gui.guichooser.AbstractMenuItemDefinition
The name of the menu this item belongs to.
getGroup() - Method in class meka.gui.guichooser.DataViewerDefinition
The name of the menu this item belongs to.
getGroup() - Method in class meka.gui.guichooser.ExperimenterDefinition
The name of the menu this item belongs to.
getGroup() - Method in class meka.gui.guichooser.ExplorerDefinition
The name of the menu this item belongs to.
getGroup() - Method in class meka.gui.guichooser.HomepageDefinition
The name of the menu this item belongs to.
getGroup() - Method in class meka.gui.guichooser.ModelViewerDefinition
The name of the menu this item belongs to.
getGroup() - Method in class meka.gui.guichooser.PrecisionRecallCurve
The name of the menu this item belongs to.
getGroup() - Method in class meka.gui.guichooser.ROC
The name of the menu this item belongs to.
getGroup() - Method in class meka.gui.guichooser.SystemInfo
The name of the menu this item belongs to.
getH() - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
 
getH() - Method in class rbms.RBM
 
getHandler() - Method in class meka.gui.core.RecentFilesHandlerWithCommandline.Setup
Returns the handler.
getHandler() - Method in class meka.gui.events.RecentItemEvent
Returns the handler that triggered the event.
getHeader(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.AbstractClassifyResultHistoryPlugin
Returns the dataset header from the history list.
getHeaderMouseListener() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns the mouse listener that got assigned to the header, if any.
getHistory() - Method in class meka.gui.core.ResultHistoryList.ResultHistoryModel
Returns the underlying history.
getHome() - Static method in class meka.core.Project
Returns the "home" directory of Meka, where to store the config files.
getI() - Method in class meka.classifiers.multilabel.CDN
GetI - Get the number of iterations.
getI() - Method in class meka.classifiers.multitarget.SCC
 
getIc() - Method in class meka.classifiers.multilabel.CDN
GetIc - Get the number of collection iterations.
getIcon(Class) - Static method in class meka.gui.core.GUIHelper
Returns an ImageIcon for the given class.
getIcon(String) - Static method in class meka.gui.core.GUIHelper
Returns an ImageIcon from the given name.
getIcon() - Method in class meka.gui.experimenter.menu.AbstractExperimenterMenuItem
Returns the icon for the menu item.
getIcon() - Method in class meka.gui.explorer.AbstractTabMenuItem
Returns the name of the icon to use.
getIcon() - Method in class meka.gui.explorer.classify.EditTestData
Returns the name of the icon to use.
getIcon() - Method in class meka.gui.explorer.classify.OpenModel
Returns the name of the icon to use.
getIcon() - Method in class meka.gui.explorer.classify.OpenTestData
Returns the name of the icon to use.
getIcon() - Method in class meka.gui.guichooser.AbstractMenuItemDefinition
Returns the icon to use.
getIconName() - Method in class meka.gui.experimenter.menu.AbstractExperimenterMenuItem
Returns the name of the icon to use.
getIconName() - Method in class meka.gui.experimenter.menu.CombineStatisticsFiles
Returns the name of the icon to use.
getIconName() - Method in class meka.gui.guichooser.AbstractMenuItemDefinition
The name of the menu icon.
getIconName() - Method in class meka.gui.guichooser.DataViewerDefinition
The name of the menu icon.
getIconName() - Method in class meka.gui.guichooser.ExperimenterDefinition
The name of the menu icon.
getIconName() - Method in class meka.gui.guichooser.ExplorerDefinition
The name of the menu icon.
getIconName() - Method in class meka.gui.guichooser.HomepageDefinition
The name of the menu icon.
getIconName() - Method in class meka.gui.guichooser.ModelViewerDefinition
The name of the menu icon.
getIconName() - Method in class meka.gui.guichooser.PrecisionRecallCurve
The name of the menu icon.
getIconName() - Method in class meka.gui.guichooser.ROC
The name of the menu icon.
getIconName() - Method in class meka.gui.guichooser.SystemInfo
The name of the menu icon.
getIgnoreStateChangeEvent() - Method in class meka.gui.core.MaximizationFixWindowListener
Returns whether change events are currently ignored.
getImageFilename(String) - Static method in class meka.gui.core.GUIHelper
Adds the path of the images directory to the name of the image.
getIndex() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel.SortContainer
Returns the original index of the item.
getInferenceIterations() - Method in class meka.classifiers.multilabel.MCC
Get the inference iterations
getInfo(String) - Method in class meka.core.Result
GetInfo.
getInformationDialog(Dialog) - Static method in class meka.gui.core.ApprovalDialog
Returns a basic (modal) info dialog (ok).
getInformationDialog(Dialog, Dialog.ModalityType) - Static method in class meka.gui.core.ApprovalDialog
Returns a basic info dialog (ok).
getInformationDialog(Frame) - Static method in class meka.gui.core.ApprovalDialog
Returns a basic (modal) info dialog (ok).
getInformationDialog(Frame, boolean) - Static method in class meka.gui.core.ApprovalDialog
Returns a basic info dialog (ok).
getInstances() - Method in class meka.gui.dataviewer.DataPanel
returns the instances of the panel, if none then NULL
getInstances() - Method in class meka.gui.dataviewer.DataSortedTableModel
returns the data
getInstances() - Method in class meka.gui.dataviewer.DataTableModel
returns the data
getInstances() - Method in class meka.gui.dataviewer.DataViewerDialog
returns the currently displayed instances
getInstancesAt(int, int) - Method in class meka.gui.dataviewer.DataTable.RelationalCellEditor
returns the underlying instances at the given position
getInstancesValueAt(int, int) - Method in class meka.gui.dataviewer.DataSortedTableModel
returns the double value of the underlying Instances object at the given position, -1 if out of bounds
getInstancesValueAt(int, int) - Method in class meka.gui.dataviewer.DataTableModel
returns the double value of the underlying Instances object at the given position, -1 if out of bounds
getIntegerOption(String, int) - Static method in class meka.core.MLUtils
GetIntegerOption - parse 'op' to an integer if we can, else used default 'def'.
getItem() - Method in class meka.gui.events.RecentItemEvent
Returns the affected file.
getItem() - Method in class meka.gui.experimenter.menu.AbstractExperimenterMenuItem
Returns the name of the menu item.
getItem() - Method in class meka.gui.experimenter.menu.CombineStatisticsFiles
Returns the name of the menu item.
getItemPrefix() - Method in class meka.gui.core.AbstractRecentItemsHandler
Returns the key prefix to use for the items in the props file.
getItemPrefix() - Method in class meka.gui.core.RecentFilesHandler
Returns the key prefix to use for the items in the props file.
getItemPrefix() - Method in class meka.gui.core.RecentFilesHandlerWithCommandline
Returns the key prefix to use for the items in the props file.
getIterations() - Method in class meka.classifiers.multilabel.meta.EM
 
getIv() - Method in class meka.classifiers.multitarget.SCC
 
getJTable() - Method in class meka.gui.core.JTableHelper
returns the JTable.
getK() - Method in class meka.classifiers.multilabel.RAkELd
GetK - Get the k parameter (size of partitions).
getK() - Method in class meka.classifiers.multitarget.RAkELd
GetK - Get the k parameter (size of partitions).
getK(Instances) - Method in class meka.core.MLUtils
Get K - get the number of values associated with each label L.
getKeys() - Method in class meka.classifiers.multilabel.neurofuzzy.SparseArray
 
getKeysString() - Method in class meka.classifiers.multilabel.neurofuzzy.SparseArray
 
getLabel(int) - Method in class meka.gui.core.ParameterPanel
Returns the label for the parameter at the specified location.
getLayoutType() - Method in class meka.gui.core.SearchPanel
Returns the type of layout.
getLearningRate() - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
 
getLearningRate() - Method in class rbms.RBM
 
getLimit() - Method in class meka.classifiers.multilabel.incremental.PSUpdateable
 
getLineWrap() - Method in class meka.gui.core.MarkdownTextAreaWithPreview
Returns whether line wrap is enabled.
getList() - Method in class meka.gui.core.ListWithButtons
Returns the list.
getLogListeners() - Method in class meka.events.LogObject
Returns the log listeners.
getLogoIcon() - Static method in class meka.gui.core.GUIHelper
Returns an ImageIcon of the logo (icon sized image).
getLogoImage() - Static method in class meka.gui.core.GUIHelper
Returns an ImageIcon of the logo (large image).
getLowerRuns() - Method in class meka.experiment.evaluators.RepeatedRuns
Returns the lower number of runs to perform (included).
getM() - Method in class meka.classifiers.multilabel.PMCC
Get the population size
getM() - Method in class meka.classifiers.multilabel.RAkEL
GetM - Get the M parameter (number of subsets).
getMainPanel() - Method in class meka.gui.dataviewer.DataViewer
returns the main panel
getMarkdown() - Method in class meka.gui.core.MarkdownDialog
Returns the markdown text.
getMaxCount() - Method in class meka.gui.core.AbstractRecentItemsHandler
Returns the maximum number of items to keep.
getMeasurement(String) - Method in class meka.core.Result
Retrieve the measurement for metric 'metric'.
getMeasurement() - Method in class meka.experiment.statisticsexporters.AbstractMeasurementEvaluationStatisticsExporter
Returns the measurement in use.
getMeasurement() - Method in interface meka.experiment.statisticsexporters.FileBasedMeasurementEvaluationStatisticsExporter
Returns the measurement in use.
getMeasurement() - Method in class meka.gui.core.MeasurementEvaluationStatisticsTableModel
Returns the measurement the model is for.
getMenu() - Method in class meka.gui.core.AbstractRecentItemsHandler
Returns the menu to add the recent items as subitems to.
getMenu() - Method in class meka.gui.dataviewer.DataViewerMainPanel
returns the menu bar to be added in a frame
getMenu() - Method in class meka.gui.experimenter.AbstractExperimenterTab
Returns an optional menu to be added to the Experimenter menu.
getMenu() - Method in class meka.gui.experimenter.menu.AbstractExperimenterMenuItem
Returns the name of the menu this menu item will get added to.
getMenu() - Method in class meka.gui.experimenter.menu.CombineStatisticsFiles
Returns the name of the menu this menu item will get added to.
getMenu() - Method in class meka.gui.experimenter.Statistics
Returns an optional menu to be added to the Experimenter menu.
getMenu() - Method in class meka.gui.explorer.AbstractExplorerTab
Returns an optional menu to be added to the Explorer menu.
getMenu() - Method in class meka.gui.explorer.ClassifyTab
Returns an optional menu to be added to the Explorer menu.
getMenuBar() - Method in interface meka.gui.core.MenuBarProvider
Returns the menu bar to use.
getMenuBar() - Method in class meka.gui.experimenter.Experimenter
Returns the menu bar to use.
getMenuBar() - Method in class meka.gui.explorer.Explorer
Returns the menu bar to use.
getMenuBar() - Method in class meka.gui.guichooser.GUIChooser
Returns the menu bar to use.
getMenuBar() - Method in class meka.gui.modelviewer.ModelViewer
Returns the menu bar to use.
getMenuItem() - Method in class meka.gui.guichooser.AbstractMenuItemDefinition
Returns the menu item to insert
getMenuItems() - Static method in class meka.gui.experimenter.menu.AbstractExperimenterMenuItem
Returns the classnames of all additional experiment menu items.
getMessage() - Method in class meka.events.LogEvent
Returns the message.
getMethod() - Method in class meka.classifiers.multilabel.MULAN
 
getMinimumChars() - Method in class meka.gui.core.SearchPanel
Returns the minimum number of characters that the user needs to enter before triggering a search event.
getMLStats(double[][], int[][], String, String) - Static method in class meka.core.MLEvalUtils
GetMLStats - Given predictions and corresponding true values and a threshold string, retreive statistics.
getMLStats(double[][], int[][], double[], String) - Static method in class meka.core.MLEvalUtils
GetMLStats - Given predictions and corresponding true values and a threshold string, retreive statistics.
getMnemonic(String) - Static method in class meka.gui.core.GUIHelper
Returns the mnemonic for this caption, preceded by an underscore "_".
getModel() - Method in class meka.classifiers.multilabel.AbstractMultiLabelClassifier
Returns a string representation of the model.
getModel() - Method in class meka.classifiers.multilabel.CC
Returns a string representation of the model.
getModel() - Method in class meka.classifiers.multilabel.Maniac
 
getModel() - Method in class meka.classifiers.multilabel.meta.FilteredClassifier
Returns a string representation of the model.
getModel() - Method in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
Returns a string representation of the model.
getModel() - Method in class meka.classifiers.multilabel.MLCBMaD
 
getModel() - Method in interface meka.classifiers.multilabel.MultiLabelClassifier
Returns a string representation of the model.
getModel() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
 
getModel() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkfast
 
getModel() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparse
 
getModel() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseH
 
getModel() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT
 
getModel() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT_Strange
 
getModel() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseV
 
getModel() - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
 
getModel() - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
 
getModel() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
getModel() - Method in class meka.classifiers.multilabel.PLST
Returns a string representation of the model.
getModel() - Method in class meka.classifiers.multilabel.ProblemTransformationMethod
Returns a string representation of the model.
getModel() - Method in interface meka.classifiers.multitarget.MultiTargetClassifier
Returns a string representation of the model.
getModel(String) - Method in class meka.core.Result
Get the model value.
getModelValueAt(int, int) - Method in class meka.gui.dataviewer.DataSortedTableModel
returns the value at the given position
getMomentum() - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
 
getMomentum() - Method in class rbms.RBM
 
getMonospacedFont() - Static method in class meka.gui.core.GUIHelper
Returns the system wide Monospaced font.
getMTStats(double[][], int[][], String) - Static method in class meka.core.MLEvalUtils
GetMTStats - Given multi-target predictions and corresponding true values, retreive evaluation statistics.
getN() - Method in class meka.classifiers.multilabel.NN.AbstractDeepNeuralNet
 
getN() - Method in class meka.classifiers.multilabel.PS
GetN - Get the subsampling value N.
getName() - Method in class meka.gui.explorer.AbstractResultHistoryPlugin
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.AbstractTabMenuItem
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.CopyModelSetup
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.EditTestData
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.IncrementalPerformance
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.OpenModel
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.OpenTestData
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.PredictionsOnTestset
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.ReevaluateModelOnTestset
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.SaveCSV
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.SaveGraphs
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.SaveModel
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.SavePredictions
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.ShowGraphs
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.ShowMacroCurve
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.ShowMicroCurve
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.ShowPrecisionRecall
Returns the name of the plugin.
getName() - Method in class meka.gui.explorer.classify.ShowROC
Returns the name of the plugin.
getName() - Method in class meka.gui.guichooser.AbstractMenuItemDefinition
The name of the menu item.
getName() - Method in class meka.gui.guichooser.DataViewerDefinition
The name of the menu item.
getName() - Method in class meka.gui.guichooser.ExperimenterDefinition
The name of the menu item.
getName() - Method in class meka.gui.guichooser.ExplorerDefinition
The name of the menu item.
getName() - Method in class meka.gui.guichooser.HomepageDefinition
The name of the menu item.
getName() - Method in class meka.gui.guichooser.ModelViewerDefinition
The name of the menu item.
getName() - Method in class meka.gui.guichooser.PrecisionRecallCurve
The name of the menu item.
getName() - Method in class meka.gui.guichooser.ROC
The name of the menu item.
getName() - Method in class meka.gui.guichooser.SystemInfo
The name of the menu item.
getNeighbours(int) - Method in class meka.classifiers.multilabel.cc.Trellis
Get the neighbouring variables of a given index.
getNeighbours(String, ArrayList<String>, int) - Static method in class meka.filters.multilabel.SuperNodeFilter
GetNeighbours - return from set S, label-vectors closest to y, having no more different than 'n' bits different.
getNeighbours(String, HashMap<String, Integer>, int) - Static method in class meka.filters.multilabel.SuperNodeFilter
GetNeighbours - return from set S (the keySet of HashMap C), label-vectors closest to y, having no more different than 'n' bits different.
getneuronsactivated() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
 
getneuronsactivity() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
 
getNeuronsActivity() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
getNeuronsActivityFileName() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
getNotes() - Method in class meka.experiment.DefaultExperiment
Returns the notes.
getNotes() - Method in interface meka.experiment.Experiment
Returns the notes.
getNumberAutoencoders() - Method in class meka.classifiers.multilabel.Maniac
Get the numberAutoencoders value.
getNumFolds() - Method in class meka.experiment.evaluators.CrossValidation
Gets the number of folds
getNumIterations() - Method in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
 
getNumThreads() - Method in interface meka.core.ThreadLimiter
Returns the number of threads to use.
getNumThreads() - Method in class meka.experiment.evaluators.CrossValidation
Returns the number of threads to use.
getNumThreads() - Method in class meka.experiment.evaluators.RepeatedRuns
Returns the number of threads to use.
getO() - Method in class meka.classifiers.multilabel.PMCC
Get the temperature switch
getOpenFileFilters() - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Returns the file filters for opening files.
getOpenFileFilters() - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
Returns the file filters for opening files.
getOpenFileFilters() - Method in class meka.gui.choosers.EvaluationStatisticsExporterFileChooser
Returns the file filters for opening files.
getOpenFileFilters() - Method in class meka.gui.choosers.EvaluationStatisticsFileChooser
Returns the file filters for opening files.
getOpenFileFilters() - Method in class meka.gui.choosers.ExperimentFileChooser
Returns the file filters for opening files.
getOpenFileFilters() - Method in class meka.gui.choosers.MeasurementEvaluationStatisticsExporterFileChooser
Returns the file filters for opening files.
getOption() - Method in class meka.gui.core.ApprovalDialog
Returns the selected option.
getOptions() - Method in class meka.classifiers.multilabel.BCC
 
getOptions() - Method in class meka.classifiers.multilabel.BRq
 
getOptions() - Method in class meka.classifiers.multilabel.CC
 
getOptions() - Method in class meka.classifiers.multilabel.CCq
 
getOptions() - Method in class meka.classifiers.multilabel.CDN
 
getOptions() - Method in class meka.classifiers.multilabel.CDT
 
getOptions() - Method in class meka.classifiers.multilabel.CT
 
getOptions() - Method in class meka.classifiers.multilabel.incremental.PSUpdateable
 
getOptions() - Method in class meka.classifiers.multilabel.Maniac
Returns an array with the options of the classifier.
getOptions() - Method in class meka.classifiers.multilabel.MCC
 
getOptions() - Method in class meka.classifiers.multilabel.meta.EM
 
getOptions() - Method in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
 
getOptions() - Method in class meka.classifiers.multilabel.meta.RandomSubspaceML
 
getOptions() - Method in class meka.classifiers.multilabel.MLCBMaD
Returns an array with the options of the classifier.
getOptions() - Method in class meka.classifiers.multilabel.MULAN
 
getOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
Gets the current settings of the classifier.
getOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkfast
Gets the current settings of the classifier.
getOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparse
Gets the current settings of the classifier.
getOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseH
Gets the current settings of the classifier.
getOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT
Gets the current settings of the classifier.
getOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT_Strange
Gets the current settings of the classifier.
getOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseV
Gets the current settings of the classifier.
getOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
Gets the current settings of the classifier.
getOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
Gets the current settings of the classifier.
getOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
Gets the current settings of the classifier.
getOptions() - Method in class meka.classifiers.multilabel.NN.AbstractDeepNeuralNet
 
getOptions() - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
 
getOptions() - Method in class meka.classifiers.multilabel.PLST
Returns an array with the options of the classifier.
getOptions() - Method in class meka.classifiers.multilabel.PMCC
 
getOptions() - Method in class meka.classifiers.multilabel.PS
 
getOptions() - Method in class meka.classifiers.multilabel.RAkEL
 
getOptions() - Method in class meka.classifiers.multilabel.RAkELd
 
getOptions() - Method in class meka.classifiers.multitarget.RAkELd
 
getOptions() - Method in class meka.classifiers.multitarget.SCC
 
getOptions() - Method in class meka.experiment.datasetproviders.AbstractDatasetProvider
Returns the options.
getOptions() - Method in class meka.experiment.datasetproviders.LocalDatasetProvider
Returns the options.
getOptions() - Method in class meka.experiment.datasetproviders.MultiDatasetProvider
Returns the options.
getOptions() - Method in class meka.experiment.DefaultExperiment
Returns the options.
getOptions() - Method in class meka.experiment.evaluationstatistics.AbstractEvaluationStatisticsHandler
Returns the options.
getOptions() - Method in class meka.experiment.evaluationstatistics.AbstractFileBasedEvaluationStatisticsHandler
Returns the options.
getOptions() - Method in class meka.experiment.evaluationstatistics.KeyValuePairs
Returns the options.
getOptions() - Method in class meka.experiment.evaluators.AbstractEvaluator
Returns the options.
getOptions() - Method in class meka.experiment.evaluators.AbstractMetaEvaluator
Returns the options.
getOptions() - Method in class meka.experiment.evaluators.CrossValidation
Returns the options.
getOptions() - Method in class meka.experiment.evaluators.PercentageSplit
Returns the options.
getOptions() - Method in class meka.experiment.evaluators.RepeatedRuns
Returns the options.
getOptions() - Method in class meka.experiment.filehandlers.AbstractExperimentFileHandler
Returns the options.
getOptions() - Method in class meka.experiment.statisticsexporters.AbstractEvaluationStatisticsExporter
Returns the options.
getOptions() - Method in class meka.experiment.statisticsexporters.AbstractFileBasedEvaluationStatisticsExporter
Returns the options.
getOptions() - Method in class meka.experiment.statisticsexporters.AbstractMeasurementEvaluationStatisticsExporter
Returns the options.
getOptions() - Method in class meka.experiment.statisticsexporters.AbstractMetaEvaluationStatisticsExporter
Returns the options.
getOptions() - Method in class meka.experiment.statisticsexporters.MultiExporter
Returns the options.
getOptions() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Returns the options.
getOptions() - Method in class meka.experiment.statisticsexporters.WekaFilter
Returns the options.
getOptions() - Method in class meka.filters.unsupervised.attribute.MekaClassAttributes
Gets the current settings of the filter.
getOptions() - Method in class rbms.RBM
GetOptions - WEKA-style option processing.
getOwner() - Method in class meka.gui.core.MaximizationFixWindowListener
Returns the owner.
getOwner() - Method in class meka.gui.experimenter.AbstractExperimenterTab
Returns the Experimenter instance this tab belongs to.
getOwner() - Method in class meka.gui.experimenter.menu.AbstractExperimenterMenuItem
Returns the owner.
getOwner() - Method in class meka.gui.explorer.AbstractExplorerTab
Returns the Explorer instance this tab belongs to.
getOwner() - Method in class meka.gui.explorer.AbstractResultHistoryPlugin
Returns the tab the plugin belongs to.
getOwner() - Method in class meka.gui.explorer.AbstractThreadedExplorerTab.WorkerThread
Returns the tab this thread belongs to.
getP() - Method in class meka.classifiers.multilabel.PS
GetP - Get the pruning value P.
getP(Instances) - Static method in class meka.core.StatUtils
GetP - Get a pairwise empirical joint-probability matrix P[][] from dataset D.
getP(int[][], int) - Static method in class meka.core.StatUtils
 
getP() - Method in class meka.filters.multilabel.SuperNodeFilter
 
getPackFrame(Class) - Static method in class meka.gui.core.GUIHelper
Returns whether this application needs to be packed, rather than use a specific window size.
getPanel(int) - Method in class meka.gui.dataviewer.DataViewerMainPanel
returns the specified panel, null if index is out of bounds
getPanelCount() - Method in class meka.gui.dataviewer.DataViewerMainPanel
returns the number of panels currently open
getParameter(int) - Method in class meka.gui.core.ParameterPanel
Returns the parameter component at the specified location.
getParameterCount() - Method in class meka.gui.core.ParameterPanel
Returns the number of parameters currently displayed.
getParameters() - Method in class meka.gui.events.SearchEvent
Returns the search parameters.
getParent(Container, Class) - Static method in class meka.gui.core.GUIHelper
Tries to determine the parent this panel is part of.
getParentDialog(Container) - Static method in class meka.gui.core.GUIHelper
Tries to determine the dialog this panel is part of.
getParentDialog() - Method in class meka.gui.core.MekaPanel
Tries to determine the dialog this panel is part of.
getParentFrame(Container) - Static method in class meka.gui.core.GUIHelper
Tries to determine the frame the container is part of.
getParentFrame() - Method in class meka.gui.core.MekaPanel
Tries to determine the frame this panel is part of.
getParentFrame() - Method in class meka.gui.dataviewer.DataViewerMainPanel
returns the parent frame, if it's a JFrame, otherwise null
getParentInternalFrame() - Method in class meka.gui.dataviewer.DataViewerMainPanel
returns the parent frame, if it's a JInternalFrame, otherwise null
getParentsY() - Method in class meka.classifiers.multilabel.cc.CNode
getParentsY - get the parents (indices) of this node
getPartitionFromDatasetHierarchy(Instances) - Static method in class meka.core.SuperLabelUtils
Get Partition From Dataset Hierarchy - assumes attributes are hierarchically arranged with '.'.
getPayload(int) - Method in class meka.gui.core.ResultHistory
Returns the payload of the specified history item.
getPayloadAt(int) - Method in class meka.gui.core.ResultHistoryList
Returns the payload at the specified location.
getPayloadAt(int) - Method in class meka.gui.core.ResultHistoryList.ResultHistoryModel
Returns the payload at the specified location.
getPayoff() - Method in class meka.classifiers.multilabel.MCC
Get the payoff function
getPlainColumnName(int) - Method in class meka.gui.dataviewer.DataTable
returns the basically the attribute name of the column and not the HTML column name via getColumnName(int)
getPlugins() - Static method in class meka.gui.explorer.classify.AbstractClassifyResultHistoryPlugin
Returns all the available plugins.
getPopupMenuCustomizer() - Method in class meka.gui.core.ResultHistoryList
Returns the current customizer for the popup menu.
getPredictionsAsInstances(Result) - Static method in class meka.core.Result
Convert predictions into Instances (and true values).
getPreferredDimensionJSpinner() - Method in class meka.gui.core.ParameterPanel
Returns the preferred dimension for JSpinner and derived classes.
getPreferredScrollableViewportSize() - Method in class meka.gui.components.AttributeSelectionPanel
 
getPreserveOrder() - Method in class meka.experiment.evaluators.CrossValidation
Returns whether to preserve the order instead of randomizing the data.
getPreserveOrder() - Method in class meka.experiment.evaluators.PercentageSplit
Returns whether to preserve the order instead of randomizing the data.
getProperties() - Static method in class meka.gui.core.GUIHelper
Initializes the properties if necessary.
getPropertiesFile() - Method in class meka.gui.core.AbstractRecentItemsHandler
Returns the props file used to store the recent items in.
getPropertyPrefix() - Method in class meka.gui.core.AbstractRecentItemsHandler
Returns the prefix for the property names.
getProviders() - Method in class meka.experiment.datasetproviders.MultiDatasetProvider
Returns the dataset providers to use.
getRandomize() - Method in class meka.gui.explorer.ClassifyTabOptions
Returns the currently set Randomize value.
getRBMs() - Method in class rbms.DBM
 
getReader() - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
returns the reader that was chosen by the user, can be null in case the user aborted the dialog or the save dialog was shown.
getReaderClass() - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Returns the reader superclass for the GOE.
getReaderClass() - Method in class meka.gui.choosers.EvaluationStatisticsExporterFileChooser
Returns the reader superclass for the GOE.
getReaderClass() - Method in class meka.gui.choosers.EvaluationStatisticsFileChooser
Returns the reader superclass for the GOE.
getReaderClass() - Method in class meka.gui.choosers.ExperimentFileChooser
Returns the reader superclass for the GOE.
getReaderClass() - Method in class meka.gui.choosers.MeasurementEvaluationStatisticsExporterFileChooser
Returns the reader superclass for the GOE.
getReaderForFile(File) - Method in class meka.gui.choosers.ExperimentFileChooser
Returns the reader for the specified file.
getReaderForFile(File) - Method in interface meka.gui.choosers.FileTypeDeterminingFileChooser
Returns the reader for the specified file.
getRecentItems() - Method in class meka.gui.core.AbstractRecentItemsHandler
Returns the currently stored recent items.
getRelation() - Method in class meka.experiment.evaluationstatistics.EvaluationStatistics
Returns the relation for these statistics.
getRelationName(String) - Static method in class meka.core.MLUtils
GetRelationName - get, e.g., 'Music' from 'Music: -C 6'
getRenderer(Object) - Static method in class meka.gui.modelviewer.renderers.AbstractObjectRenderer
Returns a renderer for the specified object.
getRenderer(Class) - Static method in class meka.gui.modelviewer.renderers.AbstractObjectRenderer
Returns a renderer for the specified class.
getRenderers() - Static method in class meka.gui.modelviewer.renderers.AbstractObjectRenderer
Returns a list with classnames of renderers.
getResult() - Method in class meka.experiment.evaluators.EvaluatorJob
Returns the results.
getResult() - Method in class meka.gui.goe.GenericObjectEditorDialog
Returns whether the dialog got cancelled or approved.
getResultAsString(Result) - Static method in class meka.core.Result
GetResultAsString - print out each prediction in a Result along with its true labelset.
getResultAsString(Result, int) - Static method in class meka.core.Result
GetResultAsString - print out each prediction in a Result (to a certain number of decimal points) along with its true labelset.
getResultAt(int) - Method in class meka.gui.core.ResultHistoryList
Returns the result at the specified location.
getResultAt(int) - Method in class meka.gui.core.ResultHistoryList.ResultHistoryModel
Returns the element at the specified location.
getResultsAsInstances(ArrayList<HashMap<String, Object>>) - Static method in class meka.core.Result
Convert a list of Results into an Instances.
getResultType() - Method in class meka.gui.goe.GenericObjectEditorDialog
Returns whether the dialog got cancelled or approved.
getRevision() - Method in class meka.classifiers.multilabel.BR
 
getRevision() - Method in class meka.classifiers.multilabel.BRq
 
getRevision() - Method in class meka.classifiers.multilabel.CCq
 
getRevision() - Method in class meka.classifiers.multilabel.CDN
 
getRevision() - Method in class meka.classifiers.multilabel.CDT
 
getRevision() - Method in class meka.classifiers.multilabel.HASEL
 
getRevision() - Method in class meka.classifiers.multilabel.LabelTransformationClassifier
 
getRevision() - Method in class meka.classifiers.multilabel.LC
 
getRevision() - Method in class meka.classifiers.multilabel.meta.BaggingML
 
getRevision() - Method in class meka.classifiers.multilabel.meta.BaggingMLdup
 
getRevision() - Method in class meka.classifiers.multilabel.meta.CM
 
getRevision() - Method in class meka.classifiers.multilabel.meta.EM
 
getRevision() - Method in class meka.classifiers.multilabel.meta.EnsembleML
 
getRevision() - Method in class meka.classifiers.multilabel.meta.MBR
 
getRevision() - Method in class meka.classifiers.multilabel.meta.RandomSubspaceML
 
getRevision() - Method in class meka.classifiers.multilabel.meta.SubsetMapper
 
getRevision() - Method in class meka.classifiers.multilabel.MULAN
 
getRevision() - Method in class meka.classifiers.multilabel.ProblemTransformationMethod
 
getRevision() - Method in class meka.classifiers.multilabel.PS
 
getRevision() - Method in class meka.classifiers.multilabel.PSt
 
getRevision() - Method in class meka.classifiers.multilabel.RAkEL
 
getRevision() - Method in class meka.classifiers.multilabel.RAkELd
 
getRevision() - Method in class meka.classifiers.multilabel.RT
 
getRevision() - Method in class meka.classifiers.multitarget.BCC
 
getRevision() - Method in class meka.classifiers.multitarget.CC
 
getRevision() - Method in class meka.classifiers.multitarget.CCp
 
getRevision() - Method in class meka.classifiers.multitarget.CR
 
getRevision() - Method in class meka.classifiers.multitarget.meta.BaggingMT
 
getRevision() - Method in class meka.classifiers.multitarget.meta.EnsembleMT
 
getRevision() - Method in class meka.classifiers.multitarget.NSR
 
getRevision() - Method in class meka.classifiers.multitarget.RAkELd
 
getRevision() - Method in class meka.filters.unsupervised.attribute.MekaClassAttributes
 
getRowCount() - Method in class meka.gui.core.EvaluationStatisticsTableModel
Returns the number of statistics in this model.
getRowCount() - Method in class meka.gui.core.MeasurementEvaluationStatisticsTableModel
Returns the number of datasets in this model.
getRowCount() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns the number of rows in the model.
getRowCount() - Method in class meka.gui.dataviewer.DataTableModel
returns the number of rows in the model
getRows() - Method in class meka.gui.core.MarkdownTextAreaWithPreview
Returns the rows.
getSamples() - Method in class meka.gui.explorer.ClassifyTabOptions
Returns the currently set samples value for prequential evaluation.
getSaveFileFilters() - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Returns the file filters for writing files.
getSaveFileFilters() - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
Returns the file filters for writing files.
getSaveFileFilters() - Method in class meka.gui.choosers.EvaluationStatisticsExporterFileChooser
Returns the file filters for writing files.
getSaveFileFilters() - Method in class meka.gui.choosers.EvaluationStatisticsFileChooser
Returns the file filters for writing files.
getSaveFileFilters() - Method in class meka.gui.choosers.ExperimentFileChooser
Returns the file filters for writing files.
getSaveFileFilters() - Method in class meka.gui.choosers.MeasurementEvaluationStatisticsExporterFileChooser
Returns the file filters for writing files.
getSeachString() - Method in interface meka.gui.core.SearchableTable
Returns the current search string.
getSeachString() - Method in interface meka.gui.core.SearchableTableModel
Returns the current search string.
getSeachString() - Method in class meka.gui.core.SortableAndSearchableTable
Returns the current search string.
getSeachString() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns the current search string.
getSearchPanel() - Method in class meka.gui.events.SearchEvent
Returns the search panel that sent the event.
getSearchString() - Method in class meka.gui.core.SearchParameters
Returns the current search string.
getSearchString() - Method in class meka.gui.dataviewer.DataTable
returns the search string, can be NULL if no search string is set
getSearchText() - Method in class meka.gui.core.SearchPanel
Returns the text in the search box.
getSeed() - Method in class meka.classifiers.multilabel.BRq
 
getSeed() - Method in class meka.classifiers.multilabel.CC
 
getSeed() - Method in class meka.classifiers.multilabel.CCq
 
getSeed() - Method in class meka.classifiers.multilabel.CDN
 
getSeed() - Method in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
 
getSeed() - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
 
getSeed() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
getSeed() - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
 
getSeed() - Method in class meka.classifiers.multilabel.PS
 
getSeed() - Method in class meka.experiment.evaluators.CrossValidation
Gets the seed for the random number generations
getSeed() - Method in class meka.experiment.evaluators.PercentageSplit
Gets the seed for the random number generations
getSeed() - Method in class meka.gui.explorer.ClassifyTabOptions
Returns the currently set seed value.
getSelectedAttributes() - Method in class meka.gui.components.AttributeSelectionPanel
Gets an array containing the indices of all selected attributes.
getSelectedText() - Method in class meka.gui.core.MarkdownTextAreaWithPreview
Returns the underlying text.
getSelectionModel() - Method in class meka.gui.components.AttributeSelectionPanel
Gets the selection model used by the table.
getSession() - Method in class meka.gui.explorer.AbstractExplorerTab
Returns the session object.
getSessionValue(String) - Method in class meka.gui.explorer.AbstractResultHistoryPlugin
Returns a session value, if present.
getSessionValue(T, String) - Method in class meka.gui.explorer.AbstractTabMenuItem
Returns a session value, if present.
getShortMethodName(String) - Static method in class meka.core.MLUtils
GetShortMethodName - get, e.g., 'BR' from 'meka.classifiers.multilabel.BR'.
getShowAttributeIndex() - Method in class meka.gui.dataviewer.DataPanel
Returns whether to display the attribute index in the header.
getShowAttributeIndex() - Method in class meka.gui.dataviewer.DataSortedTableModel
Returns whether to display the attribute index in the header.
getShowAttributeIndex() - Method in class meka.gui.dataviewer.DataTableModel
Returns whether to display the attribute index in the header.
getShowIndex() - Method in class meka.gui.core.MeasurementEvaluationStatisticsTableModel
Returns whethert o show an index or the classifier in the header.
getSize() - Method in class meka.classifiers.multilabel.MLCBMaD
Returns the size of the compressed labels.
getSize() - Method in class meka.classifiers.multilabel.PLST
Returns the size of the compressed labels.
getSize() - Method in class meka.gui.core.ResultHistoryList.ResultHistoryModel
Returns the number of history entries.
getSkipCount() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Returns whether to skip the count.
getSkipMean() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Returns whether to skip the mean.
getSkipStdDev() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Returns whether to skip the stdDev.
getSortColumn() - Method in class meka.gui.core.SortableAndSearchableTable
Returns the sort column.
getSortColumn() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns the sort column.
getSortColumn() - Method in interface meka.gui.core.SortableTable
Returns the sort column.
getSortColumn() - Method in interface meka.gui.core.SortableTableModel
Returns the sort column.
getSortedSubsets(LabelSet, Set<LabelSet>, Comparator) - Static method in class meka.core.PSUtils
Get Sorted Subsets - get all subsets of 'y' in the set 'set'; sorted according to 'cmp'.
getSortedSubsets(LabelSet, HashMap<LabelSet, Integer>) - Static method in class meka.core.PSUtils
Get Sorted Subsets - get all subsets of 'y' in the set 'set'; sorted according to length, and counts in 'map'.
getSortNewTableModel() - Method in class meka.gui.core.SortableAndSearchableTable
Returns whether to sort new models.
getSparse() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
getSparseH() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
getSparseHT() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
getSplitPercentage() - Method in class meka.gui.explorer.ClassifyTabOptions
Returns the currently set percentage value.
getStage() - Method in class meka.experiment.events.ExecutionStageEvent
Returns the stage.
getStatistics() - Method in class meka.experiment.DefaultExperiment
Returns the current statistics.
getStatistics() - Method in class meka.experiment.events.StatisticsNotificationEvent
Returns the statistics.
getStatistics() - Method in interface meka.experiment.Experiment
Returns the current statistics.
getStatistics() - Method in class meka.experiment.statisticsexporters.InMemory
Returns the statistics.
getStatistics() - Method in class meka.gui.core.EvaluationStatisticsTableModel
Returns the underlying statistics.
getStatistics() - Method in class meka.gui.core.MeasurementEvaluationStatisticsTableModel
Returns the underlying statistics.
getStatisticsHandler() - Method in class meka.experiment.DefaultExperiment
Returns the statistics handler.
getStatisticsHandler() - Method in interface meka.experiment.Experiment
Returns the statistics handler.
getStats(Result, String) - Static method in class meka.core.Result
GetStats.
getStatusBar() - Method in class meka.gui.experimenter.Experimenter
Returns the status bar.
getStatusBar() - Method in class meka.gui.explorer.Explorer
Returns the status bar.
getStringSelection() - Method in class meka.gui.dataviewer.DataTable
returns the selected content in a StringSelection that can be copied to the clipboard and used in Excel, if nothing is selected the whole table is copied to the clipboard
getSubsets(LabelSet, Set<LabelSet>) - Static method in class meka.core.PSUtils
Get Subsets - get all subsets of 'y' in the set 'set'.
getSuffix(int) - Method in class meka.gui.core.ResultHistory
Returns the specified suffix.
getSuffixAt(int) - Method in class meka.gui.core.ResultHistoryList
Returns the suffix at the specified location.
getSuffixAt(int) - Method in class meka.gui.core.ResultHistoryList.ResultHistoryModel
Returns the suffix at the specified location.
getSuffixCount() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Returns the suffix for the count.
getSuffixMean() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Returns the suffix for the mean.
getSuffixStdDev() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Returns the suffix for the stddev.
getSupport() - Method in class meka.classifiers.multilabel.incremental.PSUpdateable
 
getSystemInfo() - Method in class meka.core.SystemInfo
returns a copy of the system info.
getTabbedPane() - Method in class meka.gui.dataviewer.DataViewerMainPanel
returns the tabbedpane instance
getTable() - Method in class meka.gui.dataviewer.DataPanel
returns the table component
getTableCellEditorComponent(JTable, Object, boolean, int, int) - Method in class meka.gui.dataviewer.DataTable.RelationalCellEditor
Sets an initial value for the editor.
getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class meka.gui.components.AttributeSelectionPanel.CellRenderer
 
getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class meka.gui.dataviewer.DataTableCellRenderer
Returns the default table cell renderer.
getTableHelper() - Method in class meka.gui.core.MekaTable
Returns the table helper instance.
getTableModel() - Method in class meka.gui.components.AttributeSelectionPanel
Get the table model in use (or null if no instances have been set yet).
getTableModelClass() - Method in class meka.gui.core.SortableAndSearchableTable
Returns the class of the table model that the models need to be derived from.
getTabs() - Static method in class meka.gui.experimenter.AbstractExperimenterTab
Returns all the available tabs.
getTabs() - Static method in class meka.gui.explorer.AbstractExplorerTab
Returns all the available tabs.
getTechnicalInformation() - Method in class meka.classifiers.multilabel.BCC
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.BRq
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.CC
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.CCq
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.CDN
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.CDT
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.CT
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.DBPNN
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.incremental.meta.BaggingMLUpdateable
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.Maniac
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.MCC
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.meta.DeepML
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.meta.EM
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.meta.MBR
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.meta.RandomSubspaceML
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.meta.SubsetMapper
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.MLCBMaD
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.PCC
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.PLST
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class meka.classifiers.multilabel.PS
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.PSt
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.RAkEL
 
getTechnicalInformation() - Method in class meka.classifiers.multilabel.RAkELd
 
getTechnicalInformation() - Method in class meka.classifiers.multitarget.SCC
 
getTemplate() - Method in class meka.classifiers.multilabel.ProblemTransformationMethod
 
getTemplate() - Method in class meka.filters.multilabel.SuperNodeFilter
 
getTestData() - Method in class meka.gui.explorer.ClassifyTab
Returns the test instances, if any.
getText() - Method in class meka.gui.core.MarkdownTextAreaWithPreview
Returns the markdown code to display.
getText() - Method in class meka.gui.core.MarkdownTextPane
Returns the Markdown text.
getTextColumns() - Method in class meka.gui.core.SearchPanel
Returns the number of columns of the text field.
getTextFont() - Method in class meka.gui.core.MarkdownTextAreaWithPreview
Returns the text font in use.
getThreadedVoters() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
getThreshold() - Method in class meka.classifiers.multilabel.MLCBMaD
Getter for the threshold for Boolean matrix decomposition.
getThreshold() - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
 
getThreshold() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
getThreshold(ArrayList<double[]>, Instances, String) - Static method in class meka.core.MLEvalUtils
GetThreshold - Get a threshold from a Threshold OPtion string 'top'.
getThreshold() - Method in class meka.experiment.evaluators.CrossValidation
Gets the threshold option.
getThreshold() - Method in class meka.experiment.evaluators.PercentageSplit
Gets the threshold option.
getTimestamp(int) - Method in class meka.gui.core.ResultHistory
Returns the specified timestamp.
getTimestampAt(int) - Method in class meka.gui.core.ResultHistoryList
Returns the timestamp at the specified location.
getTimestampAt(int) - Method in class meka.gui.core.ResultHistoryList.ResultHistoryModel
Returns the element at the specified location.
getTitle() - Method in class meka.gui.dataviewer.DataPanel
returns the title for the Tab, i.e.
getTitle() - Method in class meka.gui.experimenter.AbstractExperimenterTab
Returns the title of the tab.
getTitle() - Method in class meka.gui.experimenter.AbstractSetupTab
Returns the title of the tab.
getTitle() - Method in class meka.gui.experimenter.BasicSetup
Returns the title of the tab.
getTitle() - Method in class meka.gui.experimenter.ExpertSetup
Returns the title of the tab.
getTitle() - Method in class meka.gui.experimenter.LogTab
Returns the title of the tab.
getTitle() - Method in class meka.gui.experimenter.Statistics
Returns the title of the tab.
getTitle() - Method in class meka.gui.explorer.AbstractExplorerTab
Returns the title of the tab.
getTitle() - Method in class meka.gui.explorer.ClassifyTab
Returns the title of the tab.
getTitle() - Method in class meka.gui.explorer.LogTab
Returns the title of the tab.
getTitle() - Method in class meka.gui.explorer.PreprocessTab
Returns the title of the tab.
getTitle() - Method in class meka.gui.explorer.VisualizeTab
Returns the title of the tab.
getTOP() - Method in class meka.gui.explorer.ClassifyTab
Returns the threshold option.
getTOP() - Method in class meka.gui.explorer.ClassifyTabOptions
Returns the currently set seed value.
getTopNSubsets(String, HashMap<String, Integer>, int) - Static method in class meka.classifiers.multitarget.NSR
GetTopNSubsets - return the top N subsets which differ from y by a single class value, ranked by the frequency storte in masterCombinations.
getTopNSubsets(LabelSet, HashMap<LabelSet, Integer>, int) - Static method in class meka.core.PSUtils
GetTopNSubsets - Don't cover all (like cover(y,map), rather only the top 'n')
getTopNSubsets(String, HashMap<String, Integer>, int) - Static method in class meka.core.SuperLabelUtils
GetTopNSubsets - return the top N subsets which differ from y by a single class value, ranked by the frequency storte in masterCombinations.
getTopNSubsetsAsSet(LabelSet, HashMap<LabelSet, Integer>, int) - Static method in class meka.core.PSUtils
 
getTopSubset(LabelSet, HashMap<LabelSet, Integer>) - Static method in class meka.core.PSUtils
 
getTrainPercentage() - Method in class meka.experiment.evaluators.PercentageSplit
Gets the percentage to use for training.
getTransformTemplates(Instance) - Method in class meka.classifiers.multilabel.CC
GetTransformTemplates - pre-transform the instance x, to make things faster.
getTranspose(double[][]) - Static method in class meka.core.MatrixUtils
 
getType(int) - Method in class meka.gui.dataviewer.DataSortedTableModel
returns the TYPE of the attribute at the given position
getType(int, int) - Method in class meka.gui.dataviewer.DataSortedTableModel
returns the TYPE of the attribute at the given position
getType(int) - Method in class meka.gui.dataviewer.DataTableModel
returns the TYPE of the attribute at the given position
getType(int, int) - Method in class meka.gui.dataviewer.DataTableModel
returns the TYPE of the attribute at the given position
getUnsortedModel() - Method in class meka.gui.core.SortableAndSearchableTable
returns the underlying model, can be null.
getUnsortedModel() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
returns the underlying model, can be null.
getUnsortedModel() - Method in interface meka.gui.core.SortableTable
returns the underlying model, can be null.
getUnsortedModel() - Method in interface meka.gui.core.SortableTableModel
returns the underlying model, can be null.
getUpperRuns() - Method in class meka.experiment.evaluators.RepeatedRuns
Returns the upper number of runs to perform (included).
getUseOptimalColumnWidths() - Method in class meka.gui.core.SortableAndSearchableTable
Returns whether to automatically set optimal column widths.
getValue(String) - Method in class meka.core.Result
AddValue.
getValue() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel.SortContainer
Returns the value to sort on.
getValueAt(int, int) - Method in class meka.gui.core.EvaluationStatisticsTableModel
Returns the cell value at the specified location.
getValueAt(int, int) - Method in class meka.gui.core.MeasurementEvaluationStatisticsTableModel
Returns the cell value at the specified location.
getValueAt(int, int) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns the value for the cell at columnIndex and rowIndex.
getValueAt(int, int) - Method in class meka.gui.dataviewer.DataTableModel
returns the value for the cell at columnindex and rowIndex
getValueForComparison(int, int) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns the value used in the comparison.
getValues(Instances, int[], int) - Static method in class meka.filters.multilabel.SuperNodeFilter
Return a set of all the combinations of attributes at 'indices' in 'D', pruned by 'p'; e.g., {00,01,11}.
getVerbosity() - Method in class meka.experiment.evaluators.CrossValidation
Gets the verbosity option.
getVerbosity() - Method in class meka.experiment.evaluators.PercentageSplit
Gets the verbosity option.
getVersion() - Static method in class meka.core.Version
Returns the version of MEKA.
getVigilancy() - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
 
getVigilancy() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
getVOP() - Method in class meka.gui.explorer.ClassifyTab
Returns the verbosity option.
getVOP() - Method in class meka.gui.explorer.ClassifyTabOptions
Returns the currently set seed value.
getVoters() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
getW() - Method in class rbms.RBM
 
getWait() - Method in class meka.gui.core.MaximizationFixWindowListener
Returns the wait period in msec.
getWidth() - Method in class meka.classifiers.multilabel.CDT
GetH - Get the trellis width.
getWidth() - Method in class meka.classifiers.multilabel.CT
GetH - Get the trellis width.
getWrapStyleWord() - Method in class meka.gui.core.MarkdownTextAreaWithPreview
Returns whether word wrap is enabled.
getWriter() - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
returns the writer that was chosen by the user, can be null in case the user aborted the dialog or the open dialog was shown.
getWriterClass() - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Returns the writer superclass for the GOE.
getWriterClass() - Method in class meka.gui.choosers.EvaluationStatisticsExporterFileChooser
Returns the writer superclass for the GOE.
getWriterClass() - Method in class meka.gui.choosers.EvaluationStatisticsFileChooser
Returns the writer superclass for the GOE.
getWriterClass() - Method in class meka.gui.choosers.ExperimentFileChooser
Returns the writer superclass for the GOE.
getWriterClass() - Method in class meka.gui.choosers.MeasurementEvaluationStatisticsExporterFileChooser
Returns the writer superclass for the GOE.
getWriterForFile(File) - Method in class meka.gui.choosers.ExperimentFileChooser
Returns the writer for the specified file.
getWriterForFile(File) - Method in interface meka.gui.choosers.FileTypeDeterminingFileChooser
Returns the writer for the specified file.
getWs() - Method in class rbms.DBM
 
getWs() - Method in class rbms.RBM
 
getXfromD(Instances) - Static method in class meka.core.MLUtils
GetXfromD - Extract attributes as a double X[][] from Instances D.
getxfromInstance(Instance) - Static method in class meka.core.MLUtils
GetxfromInstances - Extract attributes as a double x[] from an Instance.
getYfromD(Instances) - Static method in class meka.core.MLUtils
GetXfromD - Extract labels as a double Y[][] from Instances D.
globalInfo() - Method in class meka.classifiers.multilabel.AbstractMultiLabelClassifier
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.BCC
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.BR
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.BRq
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.CC
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.CCq
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.CDN
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.CDT
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.CT
 
globalInfo() - Method in class meka.classifiers.multilabel.DBPNN
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.FW
 
globalInfo() - Method in class meka.classifiers.multilabel.HASEL
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.incremental.BRUpdateable
 
globalInfo() - Method in class meka.classifiers.multilabel.incremental.CCUpdateable
 
globalInfo() - Method in class meka.classifiers.multilabel.incremental.MajorityLabelsetUpdateable
 
globalInfo() - Method in class meka.classifiers.multilabel.incremental.meta.BaggingMLUpdateable
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.incremental.PSUpdateable
 
globalInfo() - Method in class meka.classifiers.multilabel.incremental.RTUpdateable
 
globalInfo() - Method in class meka.classifiers.multilabel.LC
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.MajorityLabelset
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.Maniac
Returns the global information of the classifier.
globalInfo() - Method in class meka.classifiers.multilabel.MCC
 
globalInfo() - Method in class meka.classifiers.multilabel.meta.BaggingML
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.meta.BaggingMLdup
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.meta.CM
 
globalInfo() - Method in class meka.classifiers.multilabel.meta.DeepML
 
globalInfo() - Method in class meka.classifiers.multilabel.meta.EM
 
globalInfo() - Method in class meka.classifiers.multilabel.meta.EnsembleML
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.meta.MBR
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.meta.RandomSubspaceML
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.meta.SubsetMapper
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.MLCBMaD
Returns the global information of the classifier.
globalInfo() - Method in class meka.classifiers.multilabel.MULAN
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
Returns a string describing this classifier
globalInfo() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkfast
Returns a string describing this classifier
globalInfo() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparse
Returns a string describing this classifier
globalInfo() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseH
Returns a string describing this classifier
globalInfo() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT
Returns a string describing this classifier
globalInfo() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT_Strange
Returns a string describing this classifier
globalInfo() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseV
Returns a string describing this classifier
globalInfo() - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
Returns a string describing this classifier
globalInfo() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.PCC
 
globalInfo() - Method in class meka.classifiers.multilabel.PLST
Returns the global information of the classifier.
globalInfo() - Method in class meka.classifiers.multilabel.PMCC
 
globalInfo() - Method in class meka.classifiers.multilabel.ProblemTransformationMethod
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.PS
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.PSt
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.RAkEL
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.RAkELd
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multilabel.RT
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multitarget.BCC
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multitarget.CC
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multitarget.CCp
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multitarget.CR
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multitarget.meta.BaggingMT
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multitarget.meta.EnsembleMT
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multitarget.NSR
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multitarget.RAkELd
Description to display in the GUI.
globalInfo() - Method in class meka.classifiers.multitarget.SCC
Description to display in the GUI.
globalInfo() - Method in class meka.experiment.datasetproviders.AbstractDatasetProvider
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.datasetproviders.LocalDatasetProvider
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.datasetproviders.MultiDatasetProvider
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.evaluationstatistics.AbstractEvaluationStatisticsHandler
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.evaluationstatistics.InMemory
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.evaluationstatistics.KeyValuePairs
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.evaluationstatistics.Serialized
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.evaluators.AbstractEvaluator
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.evaluators.CrossValidation
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.evaluators.PercentageSplit
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.evaluators.RepeatedRuns
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.filehandlers.AbstractExperimentFileHandler
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.filehandlers.CommandLineSetup
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.filehandlers.SerializedExperiment
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.statisticsexporters.AbstractEvaluationStatisticsExporter
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.statisticsexporters.InMemory
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.statisticsexporters.LatexMeasurement
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.statisticsexporters.MultiExporter
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.statisticsexporters.TabSeparated
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.statisticsexporters.TabSeparatedMeasurement
Description to be displayed in the GUI.
globalInfo() - Method in class meka.experiment.statisticsexporters.WekaFilter
Description to be displayed in the GUI.
globalInfo() - Method in class meka.filters.multilabel.SuperNodeFilter
 
globalInfo() - Method in class meka.filters.unsupervised.attribute.MekaClassAttributes
Returns a string describing this filter.
grabFocus() - Method in class meka.gui.core.SearchPanel
The text field for the search tries to grab the focus.
graph() - Method in class meka.classifiers.multilabel.BR
Returns a string that describes a graph representing the object.
graph() - Method in class meka.classifiers.multilabel.CC
Returns a string that describes a graph representing the object.
graph() - Method in class meka.classifiers.multilabel.LC
Returns a string that describes a graph representing the object.
graph() - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
 
graph() - Method in interface meka.core.MultiLabelDrawable
Returns a string that describes a graph representing the object.
graphType() - Method in class meka.classifiers.multilabel.BR
Returns the type of graph representing the object.
graphType() - Method in class meka.classifiers.multilabel.CC
Returns the type of graph representing the object.
graphType() - Method in class meka.classifiers.multilabel.LC
Returns the type of graph representing the object.
graphType() - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
 
graphType() - Method in interface meka.core.MultiLabelDrawable
Returns the type of graph representing the object.
GUIChooser - Class in meka.gui.guichooser
The main application launcher.
GUIChooser() - Constructor for class meka.gui.guichooser.GUIChooser
 
GUIHelper - Class in meka.gui.core
A little helper class for GUI related stuff.
GUIHelper() - Constructor for class meka.gui.core.GUIHelper
 
GUILauncher - Class in meka.gui.core
Helper class for launching applications and frames.
GUILauncher() - Constructor for class meka.gui.core.GUILauncher
 

H

h - Variable in class meka.classifiers.multilabel.CDN
 
h - Variable in class meka.classifiers.multilabel.PMCC
 
H(int[][], int, int, int) - Static method in class meka.core.StatUtils
H - Conditional Entropy H(y_j|y_k).
H(int[][], int) - Static method in class meka.core.StatUtils
H - Get a Conditional Entropy Matrix.
H(Instances) - Static method in class meka.core.StatUtils
H - Get a Conditional Entropy Matrix.
h - Variable in class rbms.DBM
 
handleError(Object, String) - Method in class meka.experiment.DefaultExperiment
Adds the source's class name to the message if not null.
handleException(Object, String, Throwable) - Static method in class meka.core.ExceptionUtils
Outputs the stacktrace along with the message on stderr and returns a combination of both of them as string.
handleException(Object, String, Throwable, boolean) - Static method in class meka.core.ExceptionUtils
Generates a string from the stacktrace along with the message and returns that.
handleException(String, Throwable) - Method in class meka.events.LogObject
Logs the stacktrace along with the message on stderr and returns a combination of both of them as string.
handleException(String, Throwable) - Static method in class meka.gui.choosers.MekaFileChooser
Outputs the error in the console window.
handleException(String, Throwable) - Method in class meka.gui.experimenter.AbstractExperimenterTab
Logs the stacktrace along with the message on the log tab and returns a combination of both of them as string.
handleException(AbstractExperimenterTab, String, Throwable) - Method in class meka.gui.experimenter.Experimenter
Logs the stacktrace along with the message on the log tab and returns a combination of both of them as string.
handleException(String, Throwable) - Method in class meka.gui.explorer.AbstractExplorerTab
Logs the stacktrace along with the message on the log tab and returns a combination of both of them as string.
handleException(AbstractExplorerTab, String, Throwable) - Method in class meka.gui.explorer.Explorer
Logs the stacktrace along with the message on the log tab and returns a combination of both of them as string.
handles(ResultHistoryList, int) - Method in class meka.gui.explorer.AbstractResultHistoryPlugin
Checks whether the current item can be handled.
handles(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.AbstractShowThresholdCurve
Checks whether the current item can be handled.
handles(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.CopyModelSetup
Checks whether the current item can be handled.
handles(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.IncrementalPerformance
Checks whether the current item can be handled.
handles(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.PredictionsOnTestset
Checks whether the current item can be handled.
handles(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.ReevaluateModelOnTestset
Checks whether the current item can be handled.
handles(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.SaveCSV
Checks whether the current item can be handled.
handles(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.SaveGraphs
Checks whether the current item can be handled.
handles(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.SaveModel
Checks whether the current item can be handled.
handles(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.SavePredictions
Checks whether the current item can be handled.
handles(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.ShowGraphs
Checks whether the current item can be handled.
handles(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.ShowMacroCurve
Checks whether the current item can be handled.
handles(ResultHistoryList, int) - Method in class meka.gui.explorer.classify.ShowMicroCurve
Checks whether the current item can be handled.
handles(Class) - Method in class meka.gui.modelviewer.renderers.AbstractObjectRenderer
Checks whether the renderer can handle the specified class.
handles(Class) - Method in class meka.gui.modelviewer.renderers.InstancesRenderer
Checks whether the renderer can handle the specified class.
handles(Class) - Method in class meka.gui.modelviewer.renderers.MultiLabelClassifierRenderer
Checks whether the renderer can handle the specified class.
handles(Class) - Method in class meka.gui.modelviewer.renderers.PlainTextRenderer
Checks whether the renderer can handle the specified class.
handlesExperiment(Experiment) - Method in class meka.gui.experimenter.AbstractSetupTab
Checks whether this type of experiment is handled by this tab.
handlesExperiment(Experiment) - Method in class meka.gui.experimenter.BasicSetup
Checks whether this type of experiment is handled by this tab.
handlesExperiment(Experiment) - Method in class meka.gui.experimenter.ExpertSetup
Checks whether this type of experiment is handled by this tab.
HARAMNetwork - Class in meka.classifiers.multilabel.neurofuzzy
****REPLACE THE FOLLOWING WITH SIMILAR INFORMATION.
HARAMNetwork(int, int, double, double, double) - Constructor for class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
 
HARAMNetwork() - Constructor for class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
 
hasData() - Method in class meka.gui.explorer.AbstractExplorerTab
Returns whether data is currently present.
HASEL - Class in meka.classifiers.multilabel
HASEL - Partitions labels into subsets based on the dataset defined hierarchy.
HASEL() - Constructor for class meka.classifiers.multilabel.HASEL
 
hasExperiment() - Method in class meka.gui.experimenter.AbstractExperimenterTab
Returns whether experiment is currently present.
hashCode() - Method in class meka.core.LabelSet
 
hashCode() - Method in class meka.gui.core.RecentFilesHandlerWithCommandline.Setup
Returns the hashCode of the file's absolute path.
hashMapToString(HashMap<?, ?>, int) - Static method in class meka.core.MLUtils
Print out a HashMap nicely.
hashMapToString(HashMap<?, ?>) - Static method in class meka.core.MLUtils
 
hasImageFile(String) - Static method in class meka.gui.core.GUIHelper
Checks whether the image is available.
hasMnemonic(String) - Static method in class meka.gui.core.GUIHelper
Checks the caption whether an underscore "_" is present to indicate that the following character is to act as mnemonic.
hasNext() - Method in interface meka.experiment.datasetproviders.DatasetProvider
Returns whether another dataset is available.
hasNext() - Method in class meka.experiment.datasetproviders.LocalDatasetProvider
Returns whether another dataset is available.
hasNext() - Method in class meka.experiment.datasetproviders.MultiDatasetProvider
Returns whether another dataset is available.
hasNoModifierKey(MouseEvent) - Static method in class meka.gui.core.MouseUtils
Checks whether no modified key is pressed.
hasPrefix() - Method in class meka.gui.core.SearchPanel
Checks whether a prefix string was provided.
hasSessionValue(String) - Method in class meka.gui.explorer.AbstractResultHistoryPlugin
Checks whether a session value is present.
hasSessionValue(T, String) - Method in class meka.gui.explorer.AbstractTabMenuItem
Checks whether a session value is present.
headers(List<EvaluationStatistics>, boolean, boolean) - Static method in class meka.experiment.evaluationstatistics.EvaluationStatisticsUtils
Creates a list of headers (= stats keys) from the provided statistics.
HEIGHT - Static variable in class meka.gui.dataviewer.DataViewerMainPanel
default height
HistoryCustomizer() - Constructor for class meka.gui.explorer.ClassifyTab.HistoryCustomizer
 
HomepageDefinition - Class in meka.gui.guichooser
Launches the Homepage.
HomepageDefinition() - Constructor for class meka.gui.guichooser.HomepageDefinition
 
hTipText() - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
 

I

I - Variable in class meka.classifiers.multilabel.CDN
 
I(int[][], int, int, int) - Static method in class meka.core.StatUtils
I - Mutual Information I(y_j;y_k).
I(double[][]) - Static method in class meka.core.StatUtils
I - Mutual Information -- fast version, must calcualte P[][] = getP(D) first.
I(double[][], int, int) - Static method in class meka.core.StatUtils
I - Mutual Information.
I(Instances, int, int) - Static method in class meka.core.StatUtils
I - Mutual Information.
I(Instances, int) - Static method in class meka.core.StatUtils
I - Get an Unconditional Depndency Matrix.
I(int[][], int) - Static method in class meka.core.StatUtils
I - Get a Mutual Information Matrix.
I_c - Variable in class meka.classifiers.multilabel.CDN
 
icTipText() - Method in class meka.classifiers.multilabel.CDN
 
idealIntArraySize(int) - Static method in class meka.classifiers.multilabel.neurofuzzy.SparseArray
 
IMAGE_DIR - Static variable in class meka.gui.core.GUIHelper
the directory with the images.
incrementalDisabledTipText() - Method in class meka.experiment.evaluationstatistics.KeyValuePairs
Describes this property.
incrementalDisabledTipText() - Method in interface meka.experiment.evaluationstatistics.OptionalIncrementalEvaluationStatisticsHandler
Describes this property.
IncrementalEvaluation - Class in meka.classifiers.multilabel.incremental
IncrementalEvaluation.java - For Evaluating Incremental (Updateable) Classifiers.
IncrementalEvaluation() - Constructor for class meka.classifiers.multilabel.incremental.IncrementalEvaluation
 
IncrementalEvaluationStatisticsHandler - Interface in meka.experiment.evaluationstatistics
For handlers that support incremental writes.
IncrementalMultiLabelClassifier - Interface in meka.classifiers.multilabel
Interface for incremental multi-label classifiers.
IncrementalPerformance - Class in meka.gui.explorer.classify
Allows the user to displays graphs of the performance of an incremental classifier if available.
IncrementalPerformance() - Constructor for class meka.gui.explorer.classify.IncrementalPerformance
 
indexOfKey(int) - Method in class meka.classifiers.multilabel.neurofuzzy.SparseArray
Returns the index for which SparseArray.keyAt(int) would return the specified key, or a negative number if the specified key is not mapped.
indexOfValue(Double) - Method in class meka.classifiers.multilabel.neurofuzzy.SparseArray
Returns an index for which SparseArray.valueAt(int) would return the specified key, or a negative number if no keys map to the specified value.
indices - Variable in class meka.classifiers.multilabel.cc.Trellis
 
indices - Variable in class meka.core.LabelSet
 
indices - Variable in class meka.core.SuperLabel
 
indices - Variable in class meka.filters.multilabel.SuperNodeFilter
 
inferenceIterationsTipText() - Method in class meka.classifiers.multilabel.MCC
 
info - Variable in class meka.core.Result
 
initGUI(int) - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
initializes the GUI.
initGUI(int) - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
initializes the GUI.
initGUI() - Method in class meka.gui.core.ApprovalDialog
Initializes the widgets.
initGUI() - Method in class meka.gui.core.ListWithButtons
Initializes the widgets.
initGUI() - Method in class meka.gui.core.MarkdownDialog
Initializes the widgets.
initGUI() - Method in class meka.gui.core.MarkdownTextAreaWithPreview
Initializes the widgets.
initGUI() - Method in class meka.gui.core.MarkdownTextPane
Initializes the widgets.
initGUI() - Method in class meka.gui.core.MekaDialog
For initializing the GUI.
initGUI() - Method in class meka.gui.core.MekaFrame
For initializing the GUI.
initGUI() - Method in class meka.gui.core.MekaPanel
Initializes the widgets.
initGUI() - Method in class meka.gui.core.MekaPanelWithButtons
Initializes the widgets.
initGUI() - Method in class meka.gui.core.MekaTable
Initializes some GUI-related things.
initGUI() - Method in class meka.gui.core.ParameterPanel
Initializes the members.
initGUI() - Method in class meka.gui.core.SearchPanel
Initializes the widgets.
initGUI() - Method in class meka.gui.core.SortableAndSearchableTable
Initializes some GUI-related things.
initGUI() - Method in class meka.gui.core.StatusBar
Initializes the widgets.
initGUI() - Method in class meka.gui.experimenter.AbstractSetupTab
Initializes the widgets.
initGUI() - Method in class meka.gui.experimenter.BasicSetup
Initializes the widgets.
initGUI() - Method in class meka.gui.experimenter.Experimenter
Initializes the widgets.
initGUI() - Method in class meka.gui.experimenter.ExpertSetup
Initializes the widgets.
initGUI() - Method in class meka.gui.experimenter.LogTab
Initializes the widgets.
initGUI() - Method in class meka.gui.experimenter.Statistics
Initializes the widgets.
initGUI() - Method in class meka.gui.explorer.ClassifyTab
Initializes the widgets.
initGUI() - Method in class meka.gui.explorer.ClassifyTabOptions
Initializes the widgets.
initGUI() - Method in class meka.gui.explorer.Explorer
Initializes the widgets.
initGUI() - Method in class meka.gui.explorer.LogTab
Initializes the widgets.
initGUI() - Method in class meka.gui.explorer.PreprocessTab
Initializes the widgets.
initGUI() - Method in class meka.gui.explorer.VisualizeTab
Initializes the widgets.
initGUI() - Method in class meka.gui.goe.GenericObjectEditorDialog
For initializing the GUI.
initGUI() - Method in class meka.gui.guichooser.GUIChooser
Initializes the widgets.
initGUI() - Method in class meka.gui.modelviewer.ModelViewer
Initializes the widgets.
initialize() - Static method in class meka.core.Project
Makes sure that the project's home directory is present.
initialize() - Method in class meka.experiment.datasetproviders.AbstractDatasetProvider
Initializes the provider to start providing datasets from scratch.
initialize() - Method in interface meka.experiment.datasetproviders.DatasetProvider
Initializes the provider to start providing datasets from scratch.
initialize() - Method in class meka.experiment.datasetproviders.LocalDatasetProvider
Initializes the provider to start providing datasets from scratch.
initialize() - Method in class meka.experiment.datasetproviders.MultiDatasetProvider
Initializes the provider to start providing datasets from scratch.
initialize() - Method in class meka.experiment.DefaultExperiment
Initializes the experiment.
initialize() - Method in class meka.experiment.evaluationstatistics.AbstractFileBasedEvaluationStatisticsHandler
Initializes the handler.
initialize() - Method in interface meka.experiment.evaluationstatistics.EvaluationStatisticsHandler
Initializes the handler.
initialize() - Method in class meka.experiment.evaluationstatistics.InMemory
Initializes the handler.
initialize() - Method in class meka.experiment.evaluationstatistics.KeyValuePairs
Initializes the handler.
initialize() - Method in class meka.experiment.evaluators.AbstractEvaluator
Initializes the evaluator.
initialize() - Method in class meka.experiment.evaluators.AbstractMetaEvaluator
Initializes the evaluator.
initialize() - Method in interface meka.experiment.evaluators.Evaluator
Initializes the evaluator.
initialize() - Method in interface meka.experiment.Experiment
Initializes the experiment.
initialize() - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Further initializations.
initialize() - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
Further initializations.
initialize() - Method in class meka.gui.choosers.MekaFileChooser
For initializing some stuff.
initialize() - Method in class meka.gui.core.MarkdownTextAreaWithPreview
Initializes the members.
initialize() - Method in class meka.gui.core.MarkdownTextPane
Initializes the members.
initialize() - Method in class meka.gui.core.MekaDialog
For initializing members.
initialize() - Method in class meka.gui.core.MekaFrame
For initializing members.
initialize() - Method in class meka.gui.core.MekaPanel
Initializes the members.
initialize() - Method in class meka.gui.core.ParameterPanel
Initializes the members.
initialize() - Method in class meka.gui.core.SearchPanel
Initializes the members.
initialize() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Initializes indices etc.
initialize() - Method in class meka.gui.dataviewer.DataPanel
any member variables are initialized here
initialize() - Method in class meka.gui.experimenter.AbstractExperimenterTab
Initializes the members.
initialize() - Method in class meka.gui.experimenter.AbstractSetupTab
Initializes the members.
initialize() - Method in class meka.gui.experimenter.BasicSetup
Initializes the member variables.
initialize() - Method in class meka.gui.experimenter.Experimenter
Initializes the members.
initialize() - Method in class meka.gui.experimenter.LogTab
Initializes the members.
initialize() - Method in class meka.gui.experimenter.Statistics
Initializes the members.
initialize() - Method in class meka.gui.explorer.AbstractExplorerTab
Initializes the members.
initialize() - Method in class meka.gui.explorer.AbstractThreadedExplorerTab
Initializes the members.
initialize() - Method in class meka.gui.explorer.ClassifyTab
Initializes the members.
initialize() - Method in class meka.gui.explorer.Explorer
Initializes the members.
initialize() - Method in class meka.gui.explorer.LogTab
Initializes the members.
initialize() - Method in class meka.gui.explorer.PreprocessTab
Initializes the members.
initialize() - Method in class meka.gui.goe.GenericObjectEditorDialog
For initializing members.
initialize() - Method in class meka.gui.modelviewer.ModelViewer
Initializes the members.
initializeColumnTypes() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Determines which column is a numeric one (skipped in search).
initializeFilters(AbstractExtensionFileFilterFileChooser) - Static method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
Performs the initialization of the file filters, if necessary.
initializeSortIndices() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
(re-)initializes the indices.
initialSortNewTableModel() - Method in class meka.gui.core.SortableAndSearchableTable
Returns the initial setting of whether to sort new models.
initialUseOptimalColumnWidths() - Method in class meka.gui.core.SortableAndSearchableTable
Returns the initial setting of whether to set optimal column widths.
initRenderers() - Static method in class meka.gui.modelviewer.renderers.AbstractObjectRenderer
Initializes the renderers.
initWeights(int, int, int[]) - Method in class meka.classifiers.multilabel.BPNN
InitWeights - Initialize a BPNN of H.length hidden layers with H[0], H[1], etc hidden units in each layer (W will be random, and of the corresponding dimensions).
initWeights(int) - Method in class rbms.RBM
Initialize W, and make _dW (for momentum) of the same dimensions.
InMemory - Class in meka.experiment.evaluationstatistics
Simple in-memory handler.
InMemory() - Constructor for class meka.experiment.evaluationstatistics.InMemory
 
InMemory - Class in meka.experiment.statisticsexporters
Just stores the statistics in mmemory.
InMemory() - Constructor for class meka.experiment.statisticsexporters.InMemory
 
insertInstance(int) - Method in class meka.gui.dataviewer.DataSortedTableModel
Insert a new instance (all values 0) at the given index.
insertInstance(int) - Method in class meka.gui.dataviewer.DataTableModel
 
insertInstance(int, boolean) - Method in class meka.gui.dataviewer.DataTableModel
 
InstancesRenderer - Class in meka.gui.modelviewer.renderers
Renders Instances objects.
InstancesRenderer() - Constructor for class meka.gui.modelviewer.renderers.InstancesRenderer
 
instancesToMatrix(Instances) - Static method in class meka.core.MatrixUtils
Helper method that transforma an Instances object to a Matrix object.
instantiate(List<Class>) - Static method in class meka.gui.modelviewer.renderers.AbstractObjectRenderer
Instantiates the renderers.
introduceUnlabelledData(Instances) - Method in class meka.classifiers.multilabel.meta.EM
 
introduceUnlabelledData(Instances) - Method in interface meka.classifiers.multilabel.SemisupervisedClassifier
Set Unlabelled Data - provide unlabelled data prior to calling buildClassifier(Instances).
invert(int[], int) - Static method in class meka.core.A
Invert - take the compliment of indices up to length L, e.g., if indices = [3,5,6], then invert(indices,7) = [1,2,4,7].
isAllFilter(ExtensionFileFilter) - Static method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
Checks whether the filter uses "*.*".
isAndroid() - Static method in class meka.core.OS
Checks whether the operating system is Android.
isApproveVisible() - Method in class meka.gui.core.ApprovalDialog
Returns the visibility of the approve button.
isAscending() - Method in class meka.gui.core.SortableAndSearchableTable
Returns whether sorting is ascending or not.
isAscending() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns whether sorting is ascending or not.
isAscending() - Method in interface meka.gui.core.SortableTable
Returns whether sorting is ascending or not.
isAscending() - Method in interface meka.gui.core.SortableTableModel
Returns whether sorting is ascending or not.
isCancelVisible() - Method in class meka.gui.core.ApprovalDialog
Returns the visibility of the cancel button.
isCellEditable(int, int) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns true if the cell at rowIndex and columnIndex is editable.
isCellEditable(int, int) - Method in class meka.gui.dataviewer.DataTableModel
returns true if the cell at rowindex and columnindexis editable
isChanged() - Method in class meka.gui.dataviewer.DataPanel
returns whether the content of the panel was changed
isChanged() - Method in class meka.gui.dataviewer.DataViewerDialog
returns whether the data has been changed
isClassIndex(int) - Method in class meka.gui.dataviewer.DataTableModel
checks whether the column represents the class or not
isColumnNumeric(int) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns whether the specified column is numeric.
isDiscardVisible() - Method in class meka.gui.core.ApprovalDialog
Returns the visibility of the discard button.
isDouble() - Method in class meka.gui.core.SearchParameters
Returns whether the search string represents a double.
isDoubleClick(MouseEvent) - Static method in class meka.gui.core.MouseUtils
Checks whether the mouse event is a double-click event (with the left mouse button).
isEditable() - Method in class meka.gui.core.MarkdownTextAreaWithPreview
Returns whether the text area is editable or not.
isEditable() - Method in class meka.gui.core.MarkdownTextPane
Returns whether the text pane is editable or not.
isEmpty() - Method in class meka.classifiers.multilabel.neurofuzzy.ST
Is this symbol table empty?
isEnabled() - Method in class meka.gui.core.MaximizationFixWindowListener
Returns whether the listener is enabled.
isEnabled() - Method in class meka.gui.core.SearchPanel
Returns whether the panel is enabled or not.
isGlobFilter(FileFilter) - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
Returns whether the filter is a "glob" filter, e.g., when the user enters "*.txt" manually.
isGOEEditor() - Method in class meka.gui.goe.GenericObjectEditorDialog
Returns whether the underlying editor is GenericObjectEditor.
isIncremental() - Method in class meka.gui.core.SearchPanel
Returns whether incremental search is enabled.
isIncrementalDisabled() - Method in class meka.experiment.evaluationstatistics.KeyValuePairs
Returns whether incremental mode is turned off.
isIncrementalDisabled() - Method in interface meka.experiment.evaluationstatistics.OptionalIncrementalEvaluationStatisticsHandler
Returns whether incremental mode is turned on.
isInitialized() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
whether the model is initialized.
isInitializing() - Method in class meka.experiment.DefaultExperiment
Returns whether the experiment is initializing.
isInitializing() - Method in interface meka.experiment.Experiment
Returns whether the experiment is initializing.
isInteger() - Method in class meka.gui.core.SearchParameters
Returns whether the search string represents an integer.
isLeftClick(MouseEvent) - Static method in class meka.gui.core.MouseUtils
Checks whether the mouse event is a left-click event.
isLinux() - Static method in class meka.core.OS
Checks whether the operating system is Linux (but not Android).
isLoggingEnabled() - Method in class meka.gui.core.MaximizationFixWindowListener
Returns whether logging is enabled.
isMac() - Static method in class meka.core.OS
Checks whether the operating system is Mac.
isMiddleClick(MouseEvent) - Static method in class meka.gui.core.MouseUtils
Checks whether the mouse event is a middle/wheel-click event.
isMissingAt(int, int) - Method in class meka.gui.dataviewer.DataSortedTableModel
checks whether the value at the given position is missing
isMissingAt(int, int) - Method in class meka.gui.dataviewer.DataTableModel
checks whether the value at the given position is missing
isModified() - Method in class meka.gui.experimenter.AbstractSetupTab
Returns the modified state.
isMT(Instances) - Static method in class meka.classifiers.multilabel.Evaluation
IsMT - see if dataset D is multi-target (else only multi-label)
isMultiThreaded(int) - Static method in class meka.core.ThreadUtils
Returns whether the number of threads represent a multi-threaded setup.
isMultiThreaded(Experiment, Evaluator) - Static method in class meka.experiment.ExperimentUtils
Checks whether an Evaluator implements ThreadLimiter and uses multi-threading.
isNotificationEnabled() - Method in class meka.gui.dataviewer.DataSortedTableModel
returns whether the notification of changes is enabled
isNotificationEnabled() - Method in class meka.gui.dataviewer.DataTableModel
returns whether the notification of changes is enabled
isOptimizeAE() - Method in class meka.classifiers.multilabel.Maniac
Get the OptimizeAE value.
isPanelSelected() - Method in class meka.gui.dataviewer.DataViewerMainPanel
checks whether a panel is currently selected
isReadOnly() - Method in class meka.gui.dataviewer.DataPanel
returns whether the model is read-only
isReadOnly() - Method in class meka.gui.dataviewer.DataSortedTableModel
returns whether the model is read-only
isReadOnly() - Method in class meka.gui.dataviewer.DataTable
returns whether the model is read-only
isReadOnly() - Method in class meka.gui.dataviewer.DataTableModel
returns whether the model is read-only
isRegExp() - Method in class meka.gui.core.SearchParameters
Returns whether the search uses regular expression matching or simple substring matching.
isRegExpSearch() - Method in interface meka.gui.core.SearchableTable
Returns whether the last search was a regular expression based one.
isRegExpSearch() - Method in interface meka.gui.core.SearchableTableModel
Returns whether the last search was a regular expression based one.
isRegExpSearch() - Method in class meka.gui.core.SortableAndSearchableTable
Returns whether the last search was a regular expression based one.
isRegExpSearch() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Returns whether the last search was a regular expression based one.
isRegularExpression() - Method in class meka.gui.core.SearchPanel
Returns whether the search text is a regular expression one or not.
isRegularExpressionEnabled() - Method in class meka.gui.core.SearchPanel
Returns whether regular expressions are turned on.
isRightClick(MouseEvent) - Static method in class meka.gui.core.MouseUtils
Checks whether the mouse event is a right-click event.
isRunning() - Method in class meka.experiment.DefaultExperiment
Returns whether the experiment is running.
isRunning() - Method in interface meka.experiment.Experiment
Returns whether the experiment is running.
isRunning() - Method in class meka.gui.explorer.AbstractThreadedExplorerTab
Checks whether a task is currently running.
isSearchMatch(SearchParameters, int) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
Tests whether the search matches the specified row.
isShortcutButton() - Method in class meka.gui.guichooser.AbstractMenuItemDefinition
Returns whether this menu item should also be listed as a shortcut button.
isShortcutButton() - Method in class meka.gui.guichooser.ExperimenterDefinition
Returns whether this menu item should also be listed as a shortcut button.
isShortcutButton() - Method in class meka.gui.guichooser.ExplorerDefinition
Returns whether this menu item should also be listed as a shortcut button.
isSorted() - Method in class meka.gui.core.SortableAndSearchableTable
returns whether the table was sorted.
isSorted() - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
returns whether the table was sorted.
isSorted() - Method in interface meka.gui.core.SortableTable
returns whether the table was sorted.
isSorted() - Method in interface meka.gui.core.SortableTableModel
returns whether the table was sorted.
isStopping() - Method in class meka.experiment.DefaultExperiment
Returns whether the experiment is stopping.
isStopping() - Method in interface meka.experiment.Experiment
Returns whether the experiment is stopping.
isThreaded() - Method in interface meka.classifiers.multilabel.MultiLabelClassifierThreaded
 
isThreaded() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
 
isThreaded() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkfast
 
isThreaded() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparse
 
isThreaded() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseH
 
isThreaded() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT
 
isThreaded() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT_Strange
 
isThreaded() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseV
 
isThreaded() - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
 
isThreaded() - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
 
isThreaded() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
 
isThreadSafe() - Method in class meka.experiment.evaluationstatistics.AbstractEvaluationStatisticsHandler
Returns whether the handler is threadsafe.
isThreadSafe() - Method in interface meka.experiment.evaluationstatistics.EvaluationStatisticsHandler
Returns whether the handler is threadsafe.
isThreadSafe() - Method in class meka.experiment.evaluationstatistics.InMemory
Returns whether the handler is threadsafe.
isThreadSafe() - Method in class meka.experiment.evaluationstatistics.KeyValuePairs
Returns whether the handler is threadsafe.
isUndoEnabled() - Method in class meka.gui.dataviewer.DataPanel
returns whether undo support is enabled
isUndoEnabled() - Method in class meka.gui.dataviewer.DataSortedTableModel
returns whether undo support is enabled
isUndoEnabled() - Method in class meka.gui.dataviewer.DataTableModel
returns whether undo support is enabled
isValidSearch() - Method in class meka.gui.core.SearchPanel
Checks whether the search is valid.
isWindows() - Static method in class meka.core.OS
Checks whether the operating system is Windows.
IterationNotificationEvent - Class in meka.experiment.events
Event that gets sent by an experiment when a new classifier/dataset combination is being evaluated.
IterationNotificationEvent(Experiment, MultiLabelClassifier, Instances) - Constructor for class meka.experiment.events.IterationNotificationEvent
Gets called when the experiment starts on a new evaluation.
IterationNotificationListener - Interface in meka.experiment.events
Interface for classes that listen to iteration events of an experiment.
iterationsTipText() - Method in class meka.classifiers.multilabel.meta.EM
 
iterator() - Method in class meka.classifiers.multilabel.neurofuzzy.ST
Returns all of the keys in the symbol table as an iterator.
iTipText() - Method in class meka.classifiers.multilabel.CDN
 

J

join(int[], int[]) - Static method in class meka.core.A
 
jPMF(Instances, int, int) - Static method in class meka.core.StatUtils
jPMF - Joint PMF.
jPMF(Instances, int, int, int) - Static method in class meka.core.StatUtils
Joint Distribution.
JTableHelper - Class in meka.gui.core
A helper class for JTable, e.g.
JTableHelper(JTable) - Constructor for class meka.gui.core.JTableHelper
initializes the object.

K

keepAttributesAt(Instance, int[], int) - Static method in class meka.core.MLUtils
Delete all attributes from an instance 'x' except those indexed by 'indicesToRemove[]', up to the 'lim'-th attribute.
keepAttributesAt(Instances, int[], int) - Static method in class meka.core.MLUtils
Delete all attributes from a dataset 'D' except those indexed by 'indicesToRemove[]', up to the 'lim'-th attribute.
keepLabels(Instances, int, int[]) - Static method in class meka.core.F
Remove Indices - Remove some labels (assume they are the first L attributes) from D.
KEY_CLASSIFIER - Static variable in class meka.experiment.evaluationstatistics.EvaluationStatistics
the key for the classifier.
KEY_CLASSIFIER - Static variable in class meka.experiment.evaluationstatistics.KeyValuePairs
the key for the classifier.
KEY_FILECHOOSER - Static variable in class meka.gui.explorer.classify.SaveCSV
the key in the session for the filechooser.
KEY_FILECHOOSER - Static variable in class meka.gui.explorer.classify.SaveGraphs
the key in the session for the filechooser.
KEY_FILECHOOSER - Static variable in class meka.gui.explorer.classify.SaveModel
the key in the session for the filechooser.
KEY_FILECHOOSER - Static variable in class meka.gui.explorer.classify.SavePredictions
the key in the session for the filechooser.
KEY_FOLD - Static variable in class meka.experiment.evaluators.CrossValidation
the key for the fold.
KEY_RELATION - Static variable in class meka.experiment.evaluationstatistics.EvaluationStatistics
the key for the relation.
KEY_RELATION - Static variable in class meka.experiment.evaluationstatistics.KeyValuePairs
the key for the relation.
KEY_RUN - Static variable in class meka.experiment.evaluators.RepeatedRuns
the key for the run number.
KEY_SEARCHREGEXP - Static variable in class meka.gui.core.SortableAndSearchableTable
the key for the regular expression search flag.
KEY_SEARCHSTRING - Static variable in class meka.gui.core.SortableAndSearchableTable
the key for the search string.
KEY_SORTCOL - Static variable in class meka.gui.core.SortableAndSearchableTable
the key for the sort column setting.
KEY_SORTORDER - Static variable in class meka.gui.core.SortableAndSearchableTable
the key for the sort oder.
keyAt(int) - Method in class meka.classifiers.multilabel.neurofuzzy.SparseArray
Given an index in the range 0...size()-1, returns the key from the indexth key-value mapping that this SparseArray stores.
keys() - Method in class meka.classifiers.multilabel.neurofuzzy.ST
Returns all keys in the symbol table as an Iterable.
keys(List<EvaluationStatistics>, boolean) - Static method in class meka.experiment.evaluationstatistics.EvaluationStatisticsUtils
Returns all the keys of all the statistics.
KeyValuePairs - Class in meka.experiment.evaluationstatistics
Simple plain text format.
KeyValuePairs() - Constructor for class meka.experiment.evaluationstatistics.KeyValuePairs
 
kMap - Variable in class meka.classifiers.multilabel.RAkELd
 
kMap - Variable in class meka.classifiers.multitarget.RAkELd
 
kTipText() - Method in class meka.classifiers.multilabel.RAkEL
 
kTipText() - Method in class meka.classifiers.multilabel.RAkELd
 
kTipText() - Method in class meka.classifiers.multitarget.RAkELd
 

L

L - Variable in class meka.classifiers.multilabel.cc.Trellis
 
L - Variable in class meka.classifiers.multilabel.incremental.PSUpdateable
 
L - Variable in class meka.core.Result
The number of label (target) variables in the problem
L_Hamming(int[], int[]) - Static method in class meka.core.Metrics
Hamming loss.
L_Hamming(int[][], int[][]) - Static method in class meka.core.Metrics
Hamming loss.
L_JaccardDist(int[][], int[][]) - Static method in class meka.core.Metrics
Jaccard Distance -- the loss version of Jaccard Index
L_LevenshteinDistance(int[][], int[][]) - Static method in class meka.core.Metrics
Levenshtein Distance.
L_LevenshteinDistance(int[], int[]) - Static method in class meka.core.Metrics
Levenshtein Distance divided by the number of labels.
L_LogLoss(double, double, double) - Static method in class meka.core.Metrics
L_LogLoss - the log loss between real-valued confidence rpred and true prediction y.
L_LogLoss(int[][], double[][], double) - Static method in class meka.core.Metrics
L_LogLoss - the log loss between real-valued confidences Rpred and true predictions Y with a maximum penalty C [Important Note: Earlier versions of Meka only normalised by N, and not N*L as here].
L_LogLossD(int[][], double[][]) - Static method in class meka.core.Metrics
L_LogLoss - the log loss between real-valued confidences Rpred and true predictions Y with a maximum penalty based on the number of examples D [Important Note: Earlier versions of Meka only normalised by N, and not N*L as here].
L_LogLossL(int[][], double[][]) - Static method in class meka.core.Metrics
L_LogLoss - the log loss between real-valued confidences Rpred and true predictions Y with a maximum penalty based on the number of labels L [Important Note: Earlier versions of Meka only normalised by N, and not N*L as here].
L_MAE(int[], double[]) - Method in class meka.core.Metrics
MAE
L_MSE(int[], double[]) - Method in class meka.core.Metrics
MSE
L_OneError(int[][], double[][]) - Static method in class meka.core.Metrics
OneError -
L_RankLoss(int[][], double[][]) - Static method in class meka.core.Metrics
 
L_RankLoss(int[], double[]) - Static method in class meka.core.Metrics
 
L_RankLoss(int[], int[]) - Static method in class meka.core.Metrics
Rank Loss - the average fraction of labels which are not correctly ordered.
L_ZeroOne(int[], int[]) - Static method in class meka.core.Metrics
0/1 Loss.
L_ZeroOne(int[][], int[][]) - Static method in class meka.core.Metrics
0/1 Loss.
labelCardinalities(Instances) - Static method in class meka.core.MLUtils
LabelCardinalities - return the frequency of each label of dataset D.
labelCardinalities(ArrayList<int[]>) - Static method in class meka.core.MLUtils
LabelCardinalities - return the frequency of each label of dataset D.
labelCardinality(Instances) - Static method in class meka.core.MLUtils
LabelCardinality - return the label cardinality of dataset D.
labelCardinality(Instances, int) - Static method in class meka.core.MLUtils
LabelCardinality - return the label cardinality of dataset D of L labels.
labelCardinality(int[][], int) - Static method in class meka.core.MLUtils
LabelCardinality - return the average number of times the j-th label is relevant in label data Y.
labelCardinality(int[][]) - Static method in class meka.core.MLUtils
LabelCardinality - return the label cardinality of label data Y.
LabelSet - Class in meka.core
Comparator - A fast sparse labelset representation.
LabelSet() - Constructor for class meka.core.LabelSet
 
LabelSet(int[]) - Constructor for class meka.core.LabelSet
A new LabelSet, given a list of SORTED indices.
LabelSet(int[], boolean) - Constructor for class meka.core.LabelSet
A new LabelSet, indicating sort=true if indices they need to be sorted (i.e., are NOT sorted).
LabelSet(List<Integer>) - Constructor for class meka.core.LabelSet
 
LabelSet(Set<Integer>) - Constructor for class meka.core.LabelSet
 
LabelSetComparator - Class in meka.core
 
LabelSetComparator(HashMap<LabelSet, Integer>) - Constructor for class meka.core.LabelSetComparator
 
LabelTransformationClassifier - Class in meka.classifiers.multilabel
Abstract label transformation classifiers, all classes that transform the labels should inherit from this classifier.
LabelTransformationClassifier() - Constructor for class meka.classifiers.multilabel.LabelTransformationClassifier
Default constructor using BR.
LabelVector - Class in meka.core
LabelVector - Multi-target compatible vector.
LabelVector(int[]) - Constructor for class meka.core.LabelVector
 
LatexMeasurement - Class in meka.experiment.statisticsexporters
Exports a single statistic to a tab-separated file.
LatexMeasurement() - Constructor for class meka.experiment.statisticsexporters.LatexMeasurement
 
LatexUtils - Class in meka.core
Helper functions around LaTeX.
LatexUtils() - Constructor for class meka.core.LatexUtils
 
LatexUtils.Characters - Enum in meka.core
The characters to escape.
launch() - Method in class meka.gui.experimenter.menu.AbstractExperimenterMenuItem
Launches the menu item action.
launch() - Method in class meka.gui.experimenter.menu.CombineStatisticsFiles
Launches the menu item action.
launch() - Method in class meka.gui.guichooser.AbstractMenuItemDefinition
Called by the menu items action listener.
launch() - Method in class meka.gui.guichooser.DataViewerDefinition
Called by the menu items action listener.
launch() - Method in class meka.gui.guichooser.ExperimenterDefinition
Called by the menu items action listener.
launch() - Method in class meka.gui.guichooser.ExplorerDefinition
Called by the menu items action listener.
launch() - Method in class meka.gui.guichooser.HomepageDefinition
Called by the menu items action listener.
launch() - Method in class meka.gui.guichooser.ModelViewerDefinition
Called by the menu items action listener.
launch() - Method in class meka.gui.guichooser.PrecisionRecallCurve
Called by the menu items action listener.
launch() - Method in class meka.gui.guichooser.ROC
Called by the menu items action listener.
launch() - Method in class meka.gui.guichooser.SystemInfo
Called by the menu items action listener.
launchApplication(Class, String, boolean, String[]) - Static method in class meka.gui.core.GUILauncher
Embeds the panel in a frame and displays.
launchFrame(Class, String, boolean) - Static method in class meka.gui.core.GUILauncher
Embeds the panel in a frame and displays.
launchFrame(JPanel, String, boolean) - Static method in class meka.gui.core.GUILauncher
Embeds the panel in a frame and displays.
LC - Class in meka.classifiers.multilabel
LC.java - The LC (Label Combination) aka LP (Laber Powerset) Method.
LC() - Constructor for class meka.classifiers.multilabel.LC
 
LCTransformation(Instances) - Static method in class meka.core.PSUtils
 
LCTransformation(Instances, int) - Static method in class meka.core.PSUtils
 
LEAD(Instances, Result, String) - Static method in class meka.core.StatUtils
LEAD - Performs LEAD on dataset 'D', with corresponding gresult 'R', and dependency measurement type 'MDType'.
LEAD(Instances, Result) - Static method in class meka.core.StatUtils
 
LEAD(Instances, Classifier, Random) - Static method in class meka.core.StatUtils
LEAD - Performs LEAD on dataset 'D', using BR with base classifier 'h', under random seed 'r'.
LEAD(Instances, Classifier, Random, String) - Static method in class meka.core.StatUtils
 
LEAD2(Instances, Result) - Static method in class meka.core.StatUtils
LEAD.
learn(double[][], int[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARTCluster
 
LEARNING_RATE - Variable in class rbms.RBM
 
learningRateTipText() - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
 
limitTipText() - Method in class meka.classifiers.multilabel.incremental.PSUpdateable
 
Link(int[], int, Instances) - Constructor for class meka.classifiers.multitarget.CCp.Link
 
linkTransform(Instances, int, int[]) - Static method in class meka.core.CCUtils
LinkTransform - prepare 'D' for training at a node 'j' of the chain, by excluding 'exl'.
linkTransformation(Instance, int[], Instances) - Static method in class meka.core.CCUtils
LinkTransform - prepare 'x' for testing at a node 'j' of the chain, by excluding 'exl'.
listOptions() - Method in class meka.classifiers.multilabel.BCC
 
listOptions() - Method in class meka.classifiers.multilabel.BRq
 
listOptions() - Method in class meka.classifiers.multilabel.CC
 
listOptions() - Method in class meka.classifiers.multilabel.CCq
 
listOptions() - Method in class meka.classifiers.multilabel.CDN
 
listOptions() - Method in class meka.classifiers.multilabel.CDT
 
listOptions() - Method in class meka.classifiers.multilabel.CT
 
listOptions() - Method in class meka.classifiers.multilabel.incremental.PSUpdateable
 
listOptions() - Method in class meka.classifiers.multilabel.Maniac
Returns an enumeration of the options.
listOptions() - Method in class meka.classifiers.multilabel.MCC
 
listOptions() - Method in class meka.classifiers.multilabel.meta.EM
 
listOptions() - Method in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
 
listOptions() - Method in class meka.classifiers.multilabel.meta.RandomSubspaceML
 
listOptions() - Method in class meka.classifiers.multilabel.MLCBMaD
Returns an enumeration of the options.
listOptions() - Method in class meka.classifiers.multilabel.MULAN
 
listOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
Returns an enumeration describing the available options.
listOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkfast
Returns an enumeration describing the available options.
listOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparse
Returns an enumeration describing the available options.
listOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseH
Returns an enumeration describing the available options.
listOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT
Returns an enumeration describing the available options.
listOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT_Strange
Returns an enumeration describing the available options.
listOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseV
Returns an enumeration describing the available options.
listOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
Returns an enumeration describing the available options.
listOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
Returns an enumeration describing the available options.
listOptions() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
Returns an enumeration describing the available options.
listOptions() - Method in class meka.classifiers.multilabel.NN.AbstractDeepNeuralNet
 
listOptions() - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
 
listOptions() - Method in class meka.classifiers.multilabel.PLST
Returns an enumeration of the options.
listOptions() - Method in class meka.classifiers.multilabel.PMCC
 
listOptions() - Method in class meka.classifiers.multilabel.PS
 
listOptions() - Method in class meka.classifiers.multilabel.RAkEL
 
listOptions() - Method in class meka.classifiers.multilabel.RAkELd
 
listOptions() - Method in class meka.classifiers.multitarget.RAkELd
 
listOptions() - Method in class meka.classifiers.multitarget.SCC
 
listOptions() - Method in class meka.experiment.datasetproviders.AbstractDatasetProvider
Returns an enumeration of all the available options..
listOptions() - Method in class meka.experiment.datasetproviders.LocalDatasetProvider
Returns an enumeration of all the available options..
listOptions() - Method in class meka.experiment.datasetproviders.MultiDatasetProvider
Returns an enumeration of all the available options..
listOptions() - Method in class meka.experiment.DefaultExperiment
Returns an enumeration of all the available options..
listOptions() - Method in class meka.experiment.evaluationstatistics.AbstractEvaluationStatisticsHandler
Returns an enumeration of all the available options.
listOptions() - Method in class meka.experiment.evaluationstatistics.AbstractFileBasedEvaluationStatisticsHandler
Returns an enumeration of all the available options.
listOptions() - Method in class meka.experiment.evaluationstatistics.KeyValuePairs
Returns an enumeration of all the available options.
listOptions() - Method in class meka.experiment.evaluators.AbstractEvaluator
Returns an enumeration of all the available options..
listOptions() - Method in class meka.experiment.evaluators.AbstractMetaEvaluator
Returns an enumeration of all the available options..
listOptions() - Method in class meka.experiment.evaluators.CrossValidation
Returns an enumeration of all the available options..
listOptions() - Method in class meka.experiment.evaluators.PercentageSplit
Returns an enumeration of all the available options..
listOptions() - Method in class meka.experiment.evaluators.RepeatedRuns
Returns an enumeration of all the available options..
listOptions() - Method in class meka.experiment.filehandlers.AbstractExperimentFileHandler
Returns an enumeration of all the available options..
listOptions() - Method in class meka.experiment.statisticsexporters.AbstractEvaluationStatisticsExporter
Returns an enumeration of all the available options.
listOptions() - Method in class meka.experiment.statisticsexporters.AbstractFileBasedEvaluationStatisticsExporter
Returns an enumeration of all the available options.
listOptions() - Method in class meka.experiment.statisticsexporters.AbstractMeasurementEvaluationStatisticsExporter
Returns an enumeration of all the available options..
listOptions() - Method in class meka.experiment.statisticsexporters.AbstractMetaEvaluationStatisticsExporter
Returns an enumeration of all the available options..
listOptions() - Method in class meka.experiment.statisticsexporters.MultiExporter
Returns an enumeration of all the available options..
listOptions() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
Returns an enumeration of all the available options..
listOptions() - Method in class meka.experiment.statisticsexporters.WekaFilter
Returns an enumeration of all the available options..
listOptions() - Method in class meka.filters.unsupervised.attribute.MekaClassAttributes
Returns an enumeration describing the available options.
ListWithButtons - Class in meka.gui.core
A JList with buttons.
ListWithButtons() - Constructor for class meka.gui.core.ListWithButtons
 
load() - Method in class meka.gui.experimenter.Statistics
Loads statistics from disk.
loadDataset(String[]) - Static method in class meka.classifiers.multilabel.Evaluation
loadDataset - load a dataset, given command line option '-t' specifying an arff file.
loadDataset(String[], char) - Static method in class meka.classifiers.multilabel.Evaluation
loadDataset - load a dataset, given command line options specifying an arff file.
loadDefinitions() - Method in class meka.gui.guichooser.GUIChooser
Loads the menu item definitions.
loadFile(String, AbstractFileLoader...) - Method in class meka.gui.dataviewer.DataTableModel
loads the specified ARFF file
loadFile(String, AbstractFileLoader...) - Method in class meka.gui.dataviewer.DataViewerMainPanel
loads the specified file
loadFile() - Method in class meka.gui.dataviewer.DataViewerMainPanel
loads the specified file into the table
loadMap(String) - Static method in class meka.core.PSUtils
LoadMap - Load the HashMap stored in 'filename'.
loadObject(String) - Static method in class meka.core.MLUtils
Load Object - load the Object stored in 'filename'.
loadProps() - Method in class meka.gui.core.AbstractRecentItemsHandler
Loads the properties file from disk, if possible.
LocalDatasetProvider - Class in meka.experiment.datasetproviders
Loads local files from disk.
LocalDatasetProvider() - Constructor for class meka.experiment.datasetproviders.LocalDatasetProvider
 
log(String) - Method in class meka.events.LogObject
For logging messages.
log(String) - Method in interface meka.events.LogSupporter
For logging messages.
log(String) - Method in class meka.gui.core.MaximizationFixWindowListener
Logs the message to stdout.
log(String) - Method in class meka.gui.experimenter.AbstractExperimenterTab
For logging messages.
log(AbstractExperimenterTab, String) - Method in class meka.gui.experimenter.Experimenter
For logging messages.
log(AbstractExperimenterTab, String) - Method in class meka.gui.experimenter.LogTab
For logging messages.
log(String) - Method in class meka.gui.explorer.AbstractExplorerTab
For logging messages.
log(AbstractExplorerTab, String) - Method in class meka.gui.explorer.Explorer
For logging messages.
log(AbstractExplorerTab, String) - Method in class meka.gui.explorer.LogTab
For logging messages.
LogEvent - Class in meka.events
Event that contains a log message.
LogEvent(Object, String) - Constructor for class meka.events.LogEvent
Gets called when the experiment starts on a new evaluation.
LogListener - Interface in meka.events
Interface for classes that listen to log events of an experiment.
logMessage(LogEvent) - Method in interface meka.events.LogListener
Gets called if there is a new log message.
logMessage(LogEvent) - Method in class meka.gui.experimenter.Experimenter
Gets called if there is a new log message.
LogObject - Class in meka.events
Ancestor for objects that support logging.
LogObject() - Constructor for class meka.events.LogObject
 
LogSupporter - Interface in meka.events
Interface for classes that support logging.
LogTab - Class in meka.gui.experimenter
For logging output.
LogTab() - Constructor for class meka.gui.experimenter.LogTab
 
LogTab - Class in meka.gui.explorer
For logging output.
LogTab() - Constructor for class meka.gui.explorer.LogTab
 
lowerRunsTipText() - Method in class meka.experiment.evaluators.RepeatedRuns
Describes this property.

M

m_ActualNumThreads - Variable in class meka.experiment.evaluators.CrossValidation
the actual number of threads to use.
m_ActualNumThreads - Variable in class meka.experiment.evaluators.RepeatedRuns
the actual number of threads to use.
m_addInstanceButton - Variable in class meka.gui.dataviewer.DataViewerDialog
Click to add a new instance to the end of the dataset
m_AdditionalMenuItems - Variable in class meka.gui.experimenter.Experimenter
additional menu items.
m_AdditionalMenuItems - Variable in class meka.gui.explorer.ClassifyTab
the additional menu items.
m_AggregationKeys - Variable in class meka.experiment.statisticsexporters.SimpleAggregate
the aggregation keys.
m_Animation - Variable in class meka.gui.core.StatusBar
the runnable for animating the icon.
m_AttributeIndices - Variable in class meka.filters.unsupervised.attribute.MekaClassAttributes
the range of attributes to use as class attributes.
m_AttSizePercent - Variable in class meka.classifiers.multilabel.meta.RandomSubspaceML
 
m_BagSizePercent - Variable in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
 
m_BASE - Variable in class meka.classifiers.multilabel.meta.MBR
 
m_Beta - Variable in class meka.classifiers.multilabel.PMCC
 
m_Button - Variable in class meka.gui.dataviewer.DataTable.RelationalCellEditor
the button for opening the dialog
m_ButtonAddClassifier - Variable in class meka.gui.experimenter.BasicSetup
the button for adding a classifier.
m_ButtonAddClassifier - Variable in class meka.gui.experimenter.ExpertSetup
the button for adding a classifier.
m_ButtonAddDataset - Variable in class meka.gui.experimenter.BasicSetup
the button for adding a dataset.
m_ButtonApply - Variable in class meka.gui.experimenter.AbstractSetupTab
the button for applying the setup.
m_ButtonApplyFilter - Variable in class meka.gui.explorer.PreprocessTab
the button for applying a filter.
m_ButtonApprove - Variable in class meka.gui.core.ApprovalDialog
the approve button.
m_ButtonCancel - Variable in class meka.gui.core.ApprovalDialog
the cancel button.
m_ButtonCaption - Variable in class meka.gui.core.SearchPanel
the caption (+ optional mnemonic indicator) for the search button.
m_ButtonClear - Variable in class meka.gui.experimenter.LogTab
the button for clearing the log.
m_ButtonClear - Variable in class meka.gui.explorer.LogTab
the button for clearing the log.
m_ButtonDiscard - Variable in class meka.gui.core.ApprovalDialog
the discard button.
m_ButtonEditClassifier - Variable in class meka.gui.experimenter.BasicSetup
the button for editing a classifier.
m_ButtonEditClassifier - Variable in class meka.gui.experimenter.ExpertSetup
the button for editing a classifier.
m_ButtonMoveDownClassifier - Variable in class meka.gui.experimenter.BasicSetup
the button for moving a classifier down.
m_ButtonMoveDownClassifier - Variable in class meka.gui.experimenter.ExpertSetup
the button for moving a classifier down.
m_ButtonMoveDownDataset - Variable in class meka.gui.experimenter.BasicSetup
the button for moving a dataset down.
m_ButtonMoveUpClassifier - Variable in class meka.gui.experimenter.BasicSetup
the button for moving a classifier up.
m_ButtonMoveUpClassifier - Variable in class meka.gui.experimenter.ExpertSetup
the button for moving a classifier up.
m_ButtonMoveUpDataset - Variable in class meka.gui.experimenter.BasicSetup
the button for moving a dataset up.
m_ButtonNotes - Variable in class meka.gui.experimenter.BasicSetup
the button for the notes.
m_ButtonNotes - Variable in class meka.gui.experimenter.ExpertSetup
the button for the notes.
m_ButtonOptions - Variable in class meka.gui.explorer.ClassifyTab
the button for the options dialog.
m_ButtonRemoveAllClassifiers - Variable in class meka.gui.experimenter.BasicSetup
the button for removing all classifiers.
m_ButtonRemoveAllClassifiers - Variable in class meka.gui.experimenter.ExpertSetup
the button for removing all classifiers.
m_ButtonRemoveAllDatasets - Variable in class meka.gui.experimenter.BasicSetup
the button for removing all datasets.
m_ButtonRemoveAttributes - Variable in class meka.gui.explorer.PreprocessTab
Button for removing attributes
m_ButtonRemoveClassifier - Variable in class meka.gui.experimenter.BasicSetup
the button for removing a classifier.
m_ButtonRemoveClassifier - Variable in class meka.gui.experimenter.ExpertSetup
the button for removing a classifier.
m_ButtonRemoveDataset - Variable in class meka.gui.experimenter.BasicSetup
the button for removing a dataset.
m_ButtonRevert - Variable in class meka.gui.experimenter.AbstractSetupTab
the button for reverting the setup.
m_ButtonSave - Variable in class meka.gui.experimenter.LogTab
the button for saving the log.
m_ButtonSave - Variable in class meka.gui.explorer.LogTab
the button for saving the log.
m_ButtonSearch - Variable in class meka.gui.core.SearchPanel
the button for searching the table.
m_ButtonSetClassAttributes - Variable in class meka.gui.explorer.PreprocessTab
the button for setting the class attributes.
m_ButtonStart - Variable in class meka.gui.explorer.ClassifyTab
the button for running an experiment.
m_ButtonStop - Variable in class meka.gui.explorer.ClassifyTab
the button for stopping an experiment.
m_Cache - Variable in class meka.gui.dataviewer.DataTableModel
for caching long relational and string values that get processed for display.
m_Cache - Static variable in class meka.gui.modelviewer.renderers.AbstractObjectRenderer
the cache for object class / renderer relation.
m_CancelButton - Variable in class meka.gui.dataviewer.DataViewerDialog
Click to cancel the dialog
m_Chain - Variable in class meka.classifiers.multilabel.CC
 
m_CheckBoxClear - Variable in class meka.gui.experimenter.LogTab
whether to clear before each run.
m_CheckBoxOptions - Variable in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
the checkbox for bringing up the GenericObjectEditor.
m_CheckBoxPreserveOrder - Variable in class meka.gui.experimenter.BasicSetup
whether to preserve the order.
m_CheckboxRegExp - Variable in class meka.gui.core.SearchPanel
whether to use regular expressions for searching or plain string comparison.
m_Classifier - Variable in class meka.experiment.evaluationstatistics.EvaluationStatistics
the classifier.
m_Classifier - Variable in class meka.experiment.events.IterationNotificationEvent
the classifier.
m_Classifiers - Variable in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
 
m_Classifiers - Variable in class meka.classifiers.multilabel.RAkELd
 
m_Classifiers - Variable in class meka.classifiers.multitarget.RAkELd
 
m_Classifiers - Variable in class meka.experiment.DefaultExperiment
the classifiers to evaluate.
m_Classifiers - Variable in class meka.gui.core.MeasurementEvaluationStatisticsTableModel
the classifiers.
m_ClassifyTabOptions - Variable in class meka.gui.explorer.ClassifyTab
the panel with the options.
m_Classname - Variable in class meka.gui.choosers.ExtensionFileFilterWithClass
the classname.
m_ColumnIndex - Variable in class meka.gui.dataviewer.DataTable.RelationalCellEditor
the column index this editor is for
m_ColumnIsNumeric - Variable in class meka.gui.core.SortableAndSearchableWrapperTableModel
whether a column is numeric.
m_ComboBoxEvaluation - Variable in class meka.gui.experimenter.BasicSetup
the type of evaluation.
m_ComboBoxExperiment - Variable in class meka.gui.explorer.ClassifyTab
the type of experiment to perform.
m_ComboBoxMeasurements - Variable in class meka.gui.experimenter.Statistics
the combobox with the measurements.
m_CommandLine - Variable in class meka.experiment.evaluationstatistics.EvaluationStatistics
the classifier commandline.
m_Comparator - Variable in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
for comparing the filters.
m_ConfirmExit - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_Count - Variable in class meka.classifiers.multilabel.meta.SubsetMapper
 
m_Current - Variable in class meka.experiment.datasetproviders.LocalDatasetProvider
the iterator index.
m_Current - Variable in class meka.experiment.datasetproviders.MultiDatasetProvider
the iterator index.
m_Current - Variable in class meka.gui.goe.GenericObjectEditorDialog
the current object.
m_CurrentBounds - Variable in class meka.gui.core.MaximizationFixWindowListener
the current size/location.
m_CurrentFile - Variable in class meka.gui.experimenter.Experimenter
the current file.
m_CurrentFile - Variable in class meka.gui.explorer.Explorer
the current file.
m_CurrentHandler - Variable in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
the converter that was chosen by the user.
m_CurrentInst - Variable in class meka.gui.dataviewer.DataTable.RelationalCellEditor
the current instances
m_Data - Variable in class meka.gui.dataviewer.DataTableModel
the data
m_Data - Variable in class meka.gui.explorer.AbstractExplorerTab
the current dataset.
m_Data - Variable in class meka.gui.explorer.Explorer
data currently loaded.
m_DataPanel - Variable in class meka.gui.dataviewer.DataViewerDialog
the panel to display the Instances-object
m_Dataset - Variable in class meka.experiment.events.IterationNotificationEvent
the dataset.
m_DatasetProvider - Variable in class meka.experiment.DefaultExperiment
the dataset provider.
m_Datasets - Variable in class meka.experiment.datasetproviders.LocalDatasetProvider
the files to load.
m_Datasets - Variable in class meka.gui.core.MeasurementEvaluationStatisticsTableModel
the datasets.
m_Debug - Variable in class meka.events.LogObject
whether to run code in DEBUG mode
m_Delay - Variable in class meka.gui.core.StatusBar.Animation
the delay between changing the icon in msec.
m_Density - Variable in class meka.classifiers.multilabel.CDT
 
m_Density - Variable in class meka.classifiers.multilabel.CT
 
m_DependencyMetric - Variable in class meka.classifiers.multilabel.CDT
 
m_DependencyMetric - Variable in class meka.classifiers.multilabel.CT
 
m_DialogType - Variable in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
the type of dialog to display.
m_DisplayIndices - Variable in class meka.gui.core.SortableAndSearchableWrapperTableModel
the indices of the rows to display that match a search string.
m_Double - Variable in class meka.gui.core.SearchParameters
not null if the search string is a double.
m_DownSampleRatio - Variable in class meka.classifiers.multilabel.BRq
The downsample ratio
m_DownSampleRatio - Variable in class meka.classifiers.multilabel.CCq
The downsample ratio
m_E - Variable in class meka.classifiers.multilabel.NN.AbstractNeuralNet
number of epochs
m_E - Variable in class rbms.RBM
 
m_Editor - Variable in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
the GOE for displaying the options of a reader/writer.
m_Editor - Variable in class meka.gui.goe.GenericObjectEditorDialog
the underlying editor.
m_Enabled - Variable in class meka.gui.core.MaximizationFixWindowListener
whether enabled or not.
m_Evaluator - Variable in class meka.experiment.DefaultExperiment
the evaluator.
m_Evaluator - Variable in class meka.experiment.evaluators.AbstractMetaEvaluator
the base evaluator.
m_ExecutionStageListeners - Variable in class meka.experiment.DefaultExperiment
the listeners for execution stages.
m_Executor - Variable in class meka.experiment.evaluators.CrossValidation
the executor service to use for parallel execution.
m_Executor - Variable in class meka.experiment.evaluators.RepeatedRuns
the executor service to use for parallel execution.
m_ExitOnClose - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_Experiment - Variable in class meka.gui.experimenter.AbstractExperimenterTab
the current experiment.
m_Experiment - Variable in class meka.gui.experimenter.Experimenter
the current experiment.
m_ExportButton - Variable in class meka.gui.dataviewer.DataViewerDialog
Click to export the data
m_Exporter - Variable in class meka.experiment.statisticsexporters.AbstractMetaEvaluationStatisticsExporter
the base exporter.
m_Exporters - Variable in class meka.experiment.statisticsexporters.MultiExporter
the base exporter.
m_File - Variable in class meka.experiment.evaluationstatistics.AbstractFileBasedEvaluationStatisticsHandler
the file to read from/write to.
m_File - Variable in class meka.experiment.statisticsexporters.AbstractFileBasedEvaluationStatisticsExporter
the file to read from/write to.
m_File - Variable in class meka.gui.core.RecentFilesHandlerWithCommandline.Setup
the file.
m_FileChooser - Variable in class meka.gui.core.ResultHistoryList
the file chooser for saving the output.
m_FileChooser - Variable in class meka.gui.dataviewer.DataViewerDialog
the file chooser for loading/saving files.
m_FileChooser - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_FileChooser - Variable in class meka.gui.experimenter.Experimenter
the file chooser for the experiments.
m_FileChooser - Variable in class meka.gui.experimenter.LogTab
the filechooser for saving the log.
m_FileChooser - Variable in class meka.gui.experimenter.Statistics
the filechooser for saving the statistics.
m_FileChooser - Variable in class meka.gui.explorer.Explorer
the file chooser for loading/saving files.
m_FileChooser - Variable in class meka.gui.explorer.LogTab
the filechooser for saving the log.
m_FileChooser - Variable in class meka.gui.guichooser.PrecisionRecallCurve
filechooser for ROCs.
m_FileChooser - Variable in class meka.gui.guichooser.ROC
filechooser for ROCs.
m_FileChooser - Variable in class meka.gui.modelviewer.ModelViewer
the filechooser for loading the model files.
m_FileChooserDatasets - Variable in class meka.gui.experimenter.BasicSetup
the file chooser for datasets.
m_FileChooserMeasurement - Variable in class meka.gui.experimenter.Statistics
the filechooser for saving the measurement statistics.
m_FileChooserStatistics - Variable in class meka.gui.experimenter.Statistics
the filechooser for loading the statistics.
m_FileFilters - Static variable in class meka.gui.choosers.EvaluationStatisticsExporterFileChooser
the file filters for the readers.
m_FileFilters - Static variable in class meka.gui.choosers.EvaluationStatisticsFileChooser
the file filters for the readers.
m_FileFilters - Static variable in class meka.gui.choosers.ExperimentFileChooser
the file filters for the readers.
m_FileFilters - Static variable in class meka.gui.choosers.MeasurementEvaluationStatisticsExporterFileChooser
the file filters for the readers.
m_FileMustExist - Variable in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
whether the file to be opened must exist (only open dialog).
m_Filter - Variable in class meka.experiment.statisticsexporters.WekaFilter
the filter to apply to the data before passing it on to the base exporter.
m_Folds - Variable in class meka.gui.explorer.ClassifyTab
the number of folds.
m_Formatter - Variable in class meka.gui.experimenter.LogTab
the formatter for the timestamp.
m_Formatter - Variable in class meka.gui.explorer.LogTab
the formatter for the timestamp.
m_FrameTitle - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_GapHorizontal - Variable in class meka.gui.core.ParameterPanel
the horizontal gap.
m_GapVertical - Variable in class meka.gui.core.ParameterPanel
the vertical gap.
m_GenericObjectEditor - Variable in class meka.gui.explorer.ClassifyTab
the GOE for the classifier.
m_GenericObjectEditor - Variable in class meka.gui.explorer.PreprocessTab
for filtering the data.
m_GOEDatasets - Variable in class meka.gui.experimenter.ExpertSetup
the GOE for the datasets.
m_GOEEvaluator - Variable in class meka.gui.experimenter.ExpertSetup
the GOE for the evaluator.
m_GOEStatisticsHandler - Variable in class meka.gui.experimenter.BasicSetup
the GOE for the statistics handler.
m_GOEStatisticsHandler - Variable in class meka.gui.experimenter.ExpertSetup
the GOE for the statistics handler.
m_H - Variable in class meka.classifiers.multilabel.NN.AbstractNeuralNet
number of hidden units
m_H - Variable in class rbms.RBM
 
m_Handler - Variable in class meka.gui.core.RecentFilesHandlerWithCommandline.Setup
the object.
m_Headers - Variable in class meka.gui.core.EvaluationStatisticsTableModel
the headers.
m_History - Variable in class meka.gui.core.ResultHistoryList.ResultHistoryModel
the underlying history list.
m_I - Variable in class meka.classifiers.multilabel.meta.EM
 
m_IgnoreChanges - Variable in class meka.gui.core.AbstractRecentItemsHandler
whether to ignore changes temporarily.
m_IgnoreChanges - Variable in class meka.gui.dataviewer.DataTableModel
whether to ignore changes, i.e.
m_IgnoreChanges - Variable in class meka.gui.experimenter.AbstractSetupTab
whether to ignore changes (= don't set modified flag).
m_IgnoreChanges - Variable in class meka.gui.experimenter.Statistics
whether to ignore changes in the UI.
m_IgnoreStateChangeEvent - Variable in class meka.gui.core.MaximizationFixWindowListener
whether to ignored the state change event.
m_IncludeAll - Variable in class meka.gui.components.AttributeSelectionPanel
Press to select all attributes
m_Incremental - Variable in class meka.gui.core.SearchPanel
whether incremental search is enabled.
m_IncrementalDisabled - Variable in class meka.experiment.evaluationstatistics.KeyValuePairs
whether the incremental mode is off.
m_Index - Variable in class meka.gui.core.SortableAndSearchableWrapperTableModel.SortContainer
the index of the value.
m_IndicesCut - Variable in class meka.classifiers.multilabel.meta.RandomSubspaceML
 
m_Initializing - Variable in class meka.experiment.DefaultExperiment
whether the experiment is initializing.
m_InstancesTemplate - Variable in class meka.classifiers.multilabel.ProblemTransformationMethod
A Template for Problem Transformations
m_InstancesTemplates - Variable in class meka.classifiers.multilabel.BR
 
m_InstancesTemplates - Variable in class meka.classifiers.multilabel.meta.RandomSubspaceML
 
m_InstancesTemplates - Variable in class meka.classifiers.multilabel.RAkELd
 
m_InstancesTemplates - Variable in class meka.classifiers.multitarget.RAkELd
 
m_InstanceTemplates - Variable in class meka.classifiers.multilabel.meta.RandomSubspaceML
 
m_Integer - Variable in class meka.gui.core.SearchParameters
not null if the search string is an integer.
m_Invert - Variable in class meka.gui.components.AttributeSelectionPanel
Press to invert the current selection
m_Is - Variable in class meka.classifiers.multilabel.MCC
 
m_IsAndroid - Static variable in class meka.core.OS
whether the OS is Android.
m_IsLinux - Static variable in class meka.core.OS
whether the OS is Linux.
m_IsMac - Static variable in class meka.core.OS
whether the OS is Mac.
m_IsWindows - Static variable in class meka.core.OS
whether the OS is Windows.
m_Item - Variable in class meka.gui.events.RecentItemEvent
the affected item.
m_IterationNotficationListeners - Variable in class meka.experiment.DefaultExperiment
the listeners for iterations.
m_Iy - Variable in class meka.classifiers.multilabel.MCC
 
m_Keys - Variable in class meka.experiment.evaluationstatistics.EvaluationStatisticsComparator
the keys to use for comparison.
m_LabelFile - Variable in class meka.gui.modelviewer.ModelViewer
the label for the filename.
m_LabelIcon - Variable in class meka.gui.core.StatusBar.Animation
the JLabel used for displaying the icon.
m_LabelIcon - Variable in class meka.gui.core.StatusBar
for displaying the icon.
m_LabelPrefix - Variable in class meka.gui.core.SearchPanel
the label for the text field.
m_Labels - Variable in class meka.gui.core.ParameterPanel
the labels.
m_LabelText - Variable in class meka.gui.core.StatusBar
for displaying the status text.
m_LastFilter - Variable in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
the last filter that was used for opening/saving.
m_LastIncrementalClassifier - Variable in class meka.gui.explorer.ClassifyTab
the last incremental classifier in use.
m_LastNonIncrementalClassifier - Variable in class meka.gui.explorer.ClassifyTab
the last non-incremental classifier in use.
m_LastOpenHandler - Variable in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
the last "open" handler.
m_LastSaveHandler - Variable in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
the last "save" handler.
m_LastSearch - Variable in class meka.gui.core.SearchPanel
the last search term.
m_LayoutButtons - Variable in class meka.gui.core.MekaPanelWithButtons
the layout for the buttons.
m_LayoutType - Variable in class meka.gui.core.SearchPanel
the layout.
m_LayoutWidgets - Variable in class meka.gui.core.SearchPanel
the layout for the Widgets.
m_Limit - Variable in class meka.classifiers.multilabel.incremental.PSUpdateable
 
m_List - Variable in class meka.gui.core.ListWithButtons
the list.
m_ListClassifiers - Variable in class meka.gui.experimenter.BasicSetup
the classifiers.
m_ListClassifiers - Variable in class meka.gui.experimenter.ExpertSetup
the classifiers.
m_ListDatasets - Variable in class meka.gui.experimenter.BasicSetup
the datasets.
m_Listener - Variable in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
the propertychangelistener.
m_Listeners - Variable in class meka.gui.core.AbstractRecentItemsHandler
the event listeners.
m_Listeners - Variable in class meka.gui.dataviewer.DataTableModel
the listeners
m_Logging - Variable in class meka.gui.core.MaximizationFixWindowListener
whether to output some logging information.
m_LogListeners - Variable in class meka.events.LogObject
the listeners.
m_LogTab - Variable in class meka.gui.experimenter.Experimenter
the log tab.
m_LogTab - Variable in class meka.gui.explorer.Explorer
the log tab.
m_LowerRuns - Variable in class meka.experiment.evaluators.RepeatedRuns
the lower number of runs (included).
m_M - Variable in class meka.classifiers.multilabel.NN.AbstractNeuralNet
momentum
m_M - Variable in class meka.classifiers.multilabel.PMCC
 
m_Markdown - Variable in class meka.gui.core.MarkdownTextPane
the markdown text.
m_MaxCount - Variable in class meka.gui.core.AbstractRecentItemsHandler
the maximum number of items to keep.
m_MaximizationFixWindowListener - Variable in class meka.gui.core.MekaFrame
the maximization fix listener.
m_Measurement - Variable in class meka.experiment.statisticsexporters.AbstractMeasurementEvaluationStatisticsExporter
the measurement to output.
m_Measurement - Variable in class meka.gui.core.MeasurementEvaluationStatisticsTableModel
the measurement.
m_MekaEditorsRegistered - Static variable in class meka.gui.goe.GenericObjectEditor
whether the MEAK Editors were already registered.
m_Menu - Variable in class meka.gui.core.AbstractRecentItemsHandler
the menu to add the items as sub-items to.
m_Menu - Variable in class meka.gui.explorer.ClassifyTab
the custom menu.
m_MenuBar - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuBar - Variable in class meka.gui.experimenter.Experimenter
the menu bar.
m_MenuBar - Variable in class meka.gui.explorer.Explorer
the menu bar.
m_MenuBar - Variable in class meka.gui.guichooser.GUIChooser
the menu bar.
m_MenuBar - Variable in class meka.gui.modelviewer.ModelViewer
the menu bar.
m_MenuEdit - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuEditAttributeAsClass - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuEditClearSearch - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuEditCopy - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuEditDeleteAttribute - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuEditDeleteAttributes - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuEditDeleteInstance - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuEditDeleteInstances - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuEditRenameAttribute - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuEditSearch - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuEditSortInstances - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuEditUndo - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuFile - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuFileClose - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuFileCloseAll - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuFileExit - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuFileOpen - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuFileOpenRecent - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuFileOpenRecent - Variable in class meka.gui.experimenter.Experimenter
the "load recent" submenu.
m_MenuFileOpenRecent - Variable in class meka.gui.explorer.Explorer
the "load recent" submenu.
m_MenuFileOpenRecent - Variable in class meka.gui.modelviewer.ModelViewer
the "load recent" submenu.
m_MenuFileProperties - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuFileSave - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuFileSaveAs - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuItemEditData - Variable in class meka.gui.explorer.Explorer
the "redo" menu item.
m_MenuItemEditUndo - Variable in class meka.gui.explorer.Explorer
the "undo" menu item.
m_MenuItemExecutionStart - Variable in class meka.gui.experimenter.Experimenter
the "start" menu item.
m_MenuItemExecutionStop - Variable in class meka.gui.experimenter.Experimenter
the "stop" menu item.
m_MenuItemFileClose - Variable in class meka.gui.experimenter.Experimenter
the "close" menu item.
m_MenuItemFileClose - Variable in class meka.gui.explorer.Explorer
the "close" menu item.
m_MenuItemFileClose - Variable in class meka.gui.modelviewer.ModelViewer
the "close" menu item.
m_MenuItemFileNew - Variable in class meka.gui.experimenter.Experimenter
the "new" menu.
m_MenuItemFileOpen - Variable in class meka.gui.experimenter.Experimenter
the "open" menu item.
m_MenuItemFileOpen - Variable in class meka.gui.explorer.Explorer
the "open" menu item.
m_MenuItemFileOpen - Variable in class meka.gui.modelviewer.ModelViewer
the "open" menu item.
m_MenuItemFileSave - Variable in class meka.gui.experimenter.Experimenter
the "save" menu item.
m_MenuItemFileSave - Variable in class meka.gui.explorer.Explorer
the "save" menu item.
m_MenuItemFileSaveAs - Variable in class meka.gui.experimenter.Experimenter
the "save as" menu item.
m_MenuItemFileSaveAs - Variable in class meka.gui.explorer.Explorer
the "save as" menu item.
m_MenuItemOpen - Variable in class meka.gui.experimenter.Statistics
the menu item for loading stats.
m_MenuItemProgramClose - Variable in class meka.gui.guichooser.GUIChooser
the "close" menu item.
m_MenuItemSaveAsAggregated - Variable in class meka.gui.experimenter.Statistics
the menu item for saving aggregated stats.
m_MenuItemSaveAsMeasurement - Variable in class meka.gui.experimenter.Statistics
the menu item for saving measurement stats.
m_MenuItemSaveAsRaw - Variable in class meka.gui.experimenter.Statistics
the menu item for saving raw stats.
m_Menus - Variable in class meka.gui.guichooser.GUIChooser
the menus.
m_MenuView - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuViewAttributes - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuViewOptimalColWidths - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_MenuViewValues - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_Message - Variable in class meka.events.LogEvent
the log message.
m_META - Variable in class meka.classifiers.multilabel.meta.MBR
 
m_MethodString - Variable in class meka.classifiers.multilabel.MULAN
 
m_MinimumChars - Variable in class meka.gui.core.SearchPanel
the minimum number of characters before triggering search events.
m_MinNumParentDirs - Variable in class meka.gui.core.RecentFilesHandler
the minimum number of parent directories to use.
m_MinNumParentDirs - Variable in class meka.gui.core.RecentFilesHandlerWithCommandline
the minimum number of parent directories to use.
m_Model - Variable in class meka.gui.components.AttributeSelectionPanel
The table model containing attribute names and selection status
m_Model - Variable in class meka.gui.core.SortableAndSearchableTable
the sortable/searchable model.
m_Model - Variable in class meka.gui.core.SortableAndSearchableWrapperTableModel
the actual table model.
m_ModelAggregated - Variable in class meka.gui.experimenter.Statistics
the model for the aggregated statistics.
m_ModelClassifiers - Variable in class meka.gui.experimenter.BasicSetup
the model with the classifiers.
m_ModelClassifiers - Variable in class meka.gui.experimenter.ExpertSetup
the model with the classifiers.
m_ModelDatasets - Variable in class meka.gui.experimenter.BasicSetup
the model with the datasets.
m_ModelMeasurement - Variable in class meka.gui.experimenter.Statistics
the model for the measurement statistics.
m_ModelMeasurementKey - Variable in class meka.gui.experimenter.Statistics
the model for the keys of the measurement statistics.
m_ModelRaw - Variable in class meka.gui.experimenter.Statistics
the model for the raw statistics.
m_Modified - Variable in class meka.gui.experimenter.AbstractSetupTab
whether the setup has been modified.
m_MouseListener - Variable in class meka.gui.core.SortableAndSearchableWrapperTableModel
the mouse listener in use.
m_MULAN - Variable in class meka.classifiers.multilabel.MULAN
 
m_MultiClassifiers - Variable in class meka.classifiers.multilabel.BR
 
m_MultiClassifiers - Variable in class meka.classifiers.multilabel.BRq
 
m_N - Variable in class meka.classifiers.multilabel.NN.AbstractDeepNeuralNet
 
m_N - Variable in class meka.classifiers.multilabel.PS
 
m_N - Variable in class meka.filters.multilabel.SuperNodeFilter
 
m_Notes - Variable in class meka.experiment.DefaultExperiment
the notes.
m_Notes - Variable in class meka.gui.experimenter.BasicSetup
the notes.
m_Notes - Variable in class meka.gui.experimenter.ExpertSetup
the notes.
m_NotificationEnabled - Variable in class meka.gui.dataviewer.DataTableModel
whether notfication is enabled
m_NumClasses - Variable in class meka.classifiers.multilabel.CCq
The number of classes
m_NumFolds - Variable in class meka.experiment.evaluators.CrossValidation
the number of folds.
m_NumIterations - Variable in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
 
m_NumThreads - Variable in class meka.experiment.evaluators.CrossValidation
the number of threads to use for parallel execution.
m_NumThreads - Variable in class meka.experiment.evaluators.RepeatedRuns
the number of threads to use for parallel execution.
m_O - Variable in class meka.classifiers.multilabel.PMCC
 
m_OkButton - Variable in class meka.gui.dataviewer.DataViewerDialog
Click to activate the current set parameters
m_Option - Variable in class meka.gui.core.ApprovalDialog
the option selected by the user (CANCEL_OPTION, APPROVE_OPTION).
m_Ordered - Variable in class meka.gui.core.ResultHistory
the ordered list of results.
m_Owner - Variable in class meka.gui.core.MaximizationFixWindowListener
the owning window.
m_Owner - Variable in class meka.gui.experimenter.AbstractExperimenterTab
the owning experimenter.
m_Owner - Variable in class meka.gui.experimenter.menu.AbstractExperimenterMenuItem
the experimenter the menu item belongs to.
m_Owner - Variable in class meka.gui.explorer.AbstractExplorerTab
the Explorer instance this tab belongs to.
m_Owner - Variable in class meka.gui.explorer.AbstractResultHistoryPlugin
the tab this plugin belongs to (for accessing the session).
m_Owner - Variable in class meka.gui.explorer.AbstractThreadedExplorerTab.WorkerThread
the tab that this thread belongs to.
m_P - Variable in class meka.classifiers.multilabel.PS
 
m_P - Variable in class meka.filters.multilabel.SuperNodeFilter
 
m_PanelAttributes - Variable in class meka.gui.explorer.PreprocessTab
Panel to let the user toggle attributes.
m_PanelAttributeSummary - Variable in class meka.gui.explorer.PreprocessTab
Displays summary stats on the selected attribute
m_PanelBookmarks - Variable in class meka.gui.choosers.MekaFileChooser
the bookmarks.
m_PanelButtons - Variable in class meka.gui.core.ApprovalDialog
the buttons panel.
m_PanelButtons - Variable in class meka.gui.core.MekaPanelWithButtons
the panel containing the buttons.
m_PanelClassAttributes - Variable in class meka.gui.explorer.PreprocessTab
Panel to let the user select the class attributes.
m_PanelContent - Variable in class meka.gui.core.ApprovalDialog
the content panel.
m_PanelDataSummary - Variable in class meka.gui.explorer.PreprocessTab
Displays simple stats on the working instances
m_PanelFile - Variable in class meka.gui.modelviewer.ModelViewer
the panel for the file.
m_PanelGOE - Variable in class meka.gui.explorer.ClassifyTab
the panel for the GOE.
m_PanelIcon - Variable in class meka.gui.core.StatusBar
the panel for the icon.
m_PanelMatrix - Variable in class meka.gui.explorer.VisualizeTab
the panel for visualizing the data.
m_PanelSetup - Variable in class meka.gui.experimenter.AbstractSetupTab
the panel for the setup.
m_PanelSplit - Variable in class meka.gui.explorer.PreprocessTab
the panel for the split view of attributes and selected attribute.
m_PanelText - Variable in class meka.gui.core.StatusBar
the panel for the text.
m_PanelUnsupported - Variable in class meka.gui.experimenter.AbstractSetupTab
the message that experiment cannot be handled.
m_PanelWidgets - Variable in class meka.gui.core.SearchPanel
the panel with the buttons and search box.
m_PanePreview - Variable in class meka.gui.core.MarkdownTextAreaWithPreview
the preview.
m_PaneView - Variable in class meka.gui.core.MarkdownTextPane
for rendering the markdown.
m_ParameterPanel - Variable in class meka.gui.experimenter.BasicSetup
for the parameters.
m_ParameterPanel - Variable in class meka.gui.experimenter.ExpertSetup
the parameters of the experiment.
m_Parameters - Variable in class meka.gui.core.ParameterPanel
the parameters.
m_Parameters - Variable in class meka.gui.events.SearchEvent
the search parameters.
m_Parent - Variable in class meka.gui.dataviewer.DataViewerMainPanel
 
m_Pattern - Variable in class meka.gui.components.AttributeSelectionPanel
Press to enter a perl regular expression for selection
m_Pattern - Variable in class meka.gui.core.SearchParameters
for speeding up the matching of regular expressions.
m_PatternInstances - Variable in class meka.classifiers.multilabel.PLST
 
m_PatternRegEx - Variable in class meka.gui.components.AttributeSelectionPanel
The current regular expression.
m_Payloads - Variable in class meka.gui.core.ResultHistory
for storing an associated payload (timestamp / object).
m_Payoff - Variable in class meka.classifiers.multilabel.MCC
 
m_PopupMenuCustomizer - Variable in class meka.gui.core.ResultHistoryList
the popup menu customizer.
m_PreferredDimensionJSpinner - Variable in class meka.gui.core.ParameterPanel
the preferred dimensions for JSpinner components.
m_Prefix - Variable in class meka.gui.core.SearchPanel
the prefix (caption + optional mnemonic indicator).
m_PreserveOrder - Variable in class meka.experiment.evaluators.CrossValidation
whether to preserve the order.
m_PreserveOrder - Variable in class meka.experiment.evaluators.PercentageSplit
whether to preserve the order.
m_Processor - Variable in class meka.gui.core.MarkdownTextAreaWithPreview
the markdown processor.
m_Processor - Variable in class meka.gui.core.MarkdownTextPane
the markdown processor.
m_Properties - Static variable in class meka.gui.core.GUIHelper
the properties.
m_PropertiesFile - Variable in class meka.gui.core.AbstractRecentItemsHandler
the props file to use.
m_PropertyPrefix - Variable in class meka.gui.core.AbstractRecentItemsHandler
the prefix for the properties.
m_Providers - Variable in class meka.experiment.datasetproviders.MultiDatasetProvider
the datasset providers to use.
m_R - Variable in class meka.classifiers.multilabel.CC
 
m_R - Variable in class meka.classifiers.multilabel.CDN
 
m_R - Variable in class meka.classifiers.multilabel.NN.AbstractNeuralNet
learning rate
m_R - Variable in class rbms.RBM
 
m_Random - Variable in class meka.classifiers.multilabel.BRq
 
m_Random - Variable in class meka.classifiers.multilabel.CCq
 
m_Randomize - Variable in class meka.gui.explorer.ClassifyTab
the randomize option.
m_ReadOnly - Variable in class meka.gui.dataviewer.DataTableModel
whether the table is read-only
m_RecentFilesHandler - Variable in class meka.gui.dataviewer.DataViewerMainPanel
the recent files handler.
m_RecentFilesHandler - Variable in class meka.gui.experimenter.Experimenter
the recent files handler.
m_RecentFilesHandler - Variable in class meka.gui.explorer.Explorer
the recent files handler.
m_RecentFilesHandler - Variable in class meka.gui.modelviewer.ModelViewer
the recent files handler.
m_RecentItems - Variable in class meka.gui.core.AbstractRecentItemsHandler
the items.
m_RegExp - Variable in class meka.gui.core.SearchParameters
whether to perform regular expression matching.
m_RegExpEnabled - Variable in class meka.gui.core.SearchPanel
whether regular expressions are enabled.
m_RegExpSearch - Variable in class meka.gui.core.SortableAndSearchableWrapperTableModel
whether the search was a regular expression based one.
m_Relation - Variable in class meka.experiment.evaluationstatistics.EvaluationStatistics
the relation name.
m_RemoveAll - Variable in class meka.gui.components.AttributeSelectionPanel
Press to deselect all attributes
m_RendererClasses - Static variable in class meka.gui.modelviewer.renderers.AbstractObjectRenderer
the renderers (classes) currently available.
m_Renderers - Static variable in class meka.gui.modelviewer.renderers.AbstractObjectRenderer
the renderers (classnames) currently available.
m_Reorder - Variable in class meka.filters.unsupervised.attribute.MekaClassAttributes
for reordering the attributes.
m_Result - Variable in class meka.experiment.evaluators.EvaluatorJob
the results.
m_Result - Variable in class meka.gui.dataviewer.DataViewerDialog
the result of the user's action, either OK or CANCEL
m_Result - Variable in class meka.gui.goe.GenericObjectEditorDialog
whether the dialog was cancelled or ok'ed.
m_ResultHistoryList - Variable in class meka.gui.explorer.ClassifyTab
the result history.
m_Results - Variable in class meka.gui.core.ResultHistory
for storing the results (timestamp / result).
m_RowIndex - Variable in class meka.gui.dataviewer.DataTable.RelationalCellEditor
the row index this editor is for
m_Rows - Variable in class meka.gui.core.ParameterPanel
the panels that make up the rows.
m_Running - Variable in class meka.experiment.DefaultExperiment
whether the experiment is running.
m_Running - Variable in class meka.gui.core.StatusBar.Animation
whether the animation is still running.
m_S - Variable in class meka.classifiers.multilabel.BRq
The random generator
m_S - Variable in class meka.classifiers.multilabel.CC
 
m_S - Variable in class meka.classifiers.multilabel.CCq
The random generator
m_S - Variable in class meka.classifiers.multilabel.CDN
 
m_S - Variable in class meka.classifiers.multilabel.PS
 
m_Samples - Variable in class meka.gui.explorer.ClassifyTab
the number of samples for prequential evaluation.
m_SearchListeners - Variable in class meka.gui.core.SearchPanel
the listeners for a search being initiated.
m_SearchPanel - Variable in class meka.gui.experimenter.Statistics
the search panel.
m_SearchString - Variable in class meka.gui.core.SearchParameters
the search string.
m_SearchString - Variable in class meka.gui.core.SortableAndSearchableWrapperTableModel
the string that was searched for.
m_Seed - Variable in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
 
m_Seed - Variable in class meka.classifiers.multilabel.NN.AbstractNeuralNet
random seed
m_Seed - Variable in class meka.experiment.evaluators.CrossValidation
the seed value.
m_Seed - Variable in class meka.experiment.evaluators.PercentageSplit
the seed value.
m_Seed - Variable in class meka.filters.multilabel.SuperNodeFilter
 
m_Seed - Variable in class meka.gui.explorer.ClassifyTab
the seed value.
m_Session - Variable in class meka.gui.explorer.AbstractExplorerTab
the session object.
m_Shift - Variable in class meka.classifiers.multilabel.PLST
 
m_ShowAttributeIndex - Variable in class meka.gui.dataviewer.DataTableModel
whether to display the attribute index in the table header.
m_ShowIndex - Variable in class meka.gui.core.MeasurementEvaluationStatisticsTableModel
whether to show the classifier or an index in the column header.
m_Size - Variable in class meka.classifiers.multilabel.PLST
 
m_SkipCount - Variable in class meka.experiment.statisticsexporters.SimpleAggregate
whether to skip the count.
m_SkipMean - Variable in class meka.experiment.statisticsexporters.SimpleAggregate
whether to skip the mean.
m_SkipStdDev - Variable in class meka.experiment.statisticsexporters.SimpleAggregate
whether to skip the stdev.
m_SortAscending - Variable in class meka.gui.core.SortableAndSearchableWrapperTableModel
whether sorting is ascending or descending.
m_SortColumn - Variable in class meka.gui.core.SortableAndSearchableWrapperTableModel
the sort column.
m_SortedIndices - Variable in class meka.gui.core.SortableAndSearchableWrapperTableModel
the mapping between displayed and actual index.
m_SortNewTableModel - Variable in class meka.gui.core.SortableAndSearchableTable
whether to automatically sort table models that get set via setModel.
m_SpinnerNumFolds - Variable in class meka.gui.experimenter.