- 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
-
- 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.BasicSetup
-
the number of folds.
- m_SpinnerNumRuns - Variable in class meka.gui.experimenter.BasicSetup
-
the number of runs.
- m_SplitPercentage - Variable in class meka.gui.explorer.ClassifyTab
-
the percentage split.
- m_Stage - Variable in class meka.experiment.events.ExecutionStageEvent
-
the stage.
- m_Statistics - Variable in class meka.experiment.DefaultExperiment
-
the collected statistics.
- m_Statistics - Variable in class meka.experiment.evaluationstatistics.InMemory
-
the collected statistics.
- m_Statistics - Variable in class meka.experiment.evaluationstatistics.KeyValuePairs
-
the statistics so far.
- m_Statistics - Variable in class meka.experiment.events.StatisticsNotificationEvent
-
the statistics.
- m_Statistics - Variable in class meka.experiment.statisticsexporters.InMemory
-
the statistics.
- m_Statistics - Variable in class meka.gui.core.EvaluationStatisticsTableModel
-
the underlying statistics.
- m_Statistics - Variable in class meka.gui.core.MeasurementEvaluationStatisticsTableModel
-
the underlying statistics.
- m_Statistics - Variable in class meka.gui.experimenter.Statistics
-
the collected statistics.
- m_StatisticsHandler - Variable in class meka.experiment.DefaultExperiment
-
the statistics handler.
- m_StatisticsNotificationListeners - Variable in class meka.experiment.DefaultExperiment
-
the listeners for statistics.
- m_StatusBar - Variable in class meka.gui.experimenter.Experimenter
-
the statusbar to use.
- m_StatusBar - Variable in class meka.gui.explorer.Explorer
-
the statusbar to use.
- m_Stopped - Variable in class meka.experiment.evaluators.AbstractEvaluator
-
whether the evaluation got stopped.
- m_Stopping - Variable in class meka.experiment.DefaultExperiment
-
whether the experiment is stopping.
- m_SuffixCount - Variable in class meka.experiment.statisticsexporters.SimpleAggregate
-
the count suffix.
- m_Suffixes - Variable in class meka.gui.core.ResultHistory
-
for storing the suffixes for the index (timestamp / suffix).
- m_SuffixMean - Variable in class meka.experiment.statisticsexporters.SimpleAggregate
-
the mean suffix.
- m_SuffixStdDev - Variable in class meka.experiment.statisticsexporters.SimpleAggregate
-
the stdev suffix.
- m_Support - Variable in class meka.classifiers.multilabel.incremental.PSUpdateable
-
- m_TabbedPane - Variable in class meka.gui.core.MarkdownTextAreaWithPreview
-
the tabbed pane.
- m_TabbedPane - Variable in class meka.gui.dataviewer.DataViewerMainPanel
-
- m_TabbedPane - Variable in class meka.gui.experimenter.Experimenter
-
the tabbed pane for the various panels.
- m_TabbedPane - Variable in class meka.gui.experimenter.Statistics
-
the tabbed pane for the statistics.
- m_TabbedPane - Variable in class meka.gui.explorer.Explorer
-
the tabbed pane for the various panels.
- m_TabbedPane - Variable in class meka.gui.modelviewer.ModelViewer
-
the tabbed pane for displaying the content of the files.
- m_Table - Variable in class meka.gui.components.AttributeSelectionPanel
-
The table displaying attribute names and selection status
- m_Table - Variable in class meka.gui.core.JTableHelper
-
the table to work with.
- m_TableAggregated - Variable in class meka.gui.experimenter.Statistics
-
the table for the aggregated statistics.
- m_TableHelper - Variable in class meka.gui.core.MekaTable
-
for setting the optimal column width.
- m_TableMeasurement - Variable in class meka.gui.experimenter.Statistics
-
the table for the measurement statistics.
- m_TableMeasurementKey - Variable in class meka.gui.experimenter.Statistics
-
the table for the keys of the measurement statistics.
- m_TableRaw - Variable in class meka.gui.experimenter.Statistics
-
the table for the raw statistics.
- m_Tabs - Variable in class meka.gui.experimenter.Experimenter
-
the tabs.
- m_Tabs - Variable in class meka.gui.explorer.Explorer
-
the tabs.
- m_Task - Variable in class meka.gui.explorer.AbstractThreadedExplorerTab
-
the thread for running tasks.
- m_Templates - Variable in class meka.classifiers.multitarget.CR
-
- m_TestInstances - Variable in class meka.gui.explorer.ClassifyTab
-
the test Instances.
- m_TextArea - Variable in class meka.gui.experimenter.LogTab
-
the panel for visualizing the data.
- m_TextArea - Variable in class meka.gui.explorer.LogTab
-
the panel for visualizing the data.
- m_TextAreaResults - Variable in class meka.gui.explorer.ClassifyTab
-
the text area for displaying the results.
- m_TextCode - Variable in class meka.gui.core.MarkdownTextAreaWithPreview
-
the text area for writing markdown code.
- m_TextFolds - Variable in class meka.gui.explorer.ClassifyTabOptions
-
the number of folds for CV.
- m_TextMarkdown - Variable in class meka.gui.core.MarkdownDialog
-
the markdown widget.
- m_TextPercentage - Variable in class meka.gui.experimenter.BasicSetup
-
the percentage for the percentage split.
- m_TextSamples - Variable in class meka.gui.explorer.ClassifyTabOptions
-
the number of samples for incremental evaluation.
- m_TextSearch - Variable in class meka.gui.core.SearchPanel
-
the text field for entering the search text.
- m_TextSeed - Variable in class meka.gui.explorer.ClassifyTabOptions
-
the text field for the seed value.
- m_TextSplitPercentage - Variable in class meka.gui.explorer.ClassifyTabOptions
-
the text field for split percentage.
- m_TextTOP - Variable in class meka.gui.explorer.ClassifyTabOptions
-
the threshold option.
- m_TextVOP - Variable in class meka.gui.explorer.ClassifyTabOptions
-
the verbosity option.
- m_Threshold - Variable in class meka.experiment.evaluators.CrossValidation
-
the threshold option.
- m_Threshold - Variable in class meka.experiment.evaluators.PercentageSplit
-
the threshold option.
- m_ToggleRandomize - Variable in class meka.gui.explorer.ClassifyTabOptions
-
for randomizing.
- m_TOP - Variable in class meka.gui.explorer.ClassifyTab
-
the threshold option.
- m_TrainPercentage - Variable in class meka.experiment.evaluators.PercentageSplit
-
percentage to use for training.
- m_Undo - Variable in class meka.gui.explorer.Explorer
-
the undo list.
- m_UndoButton - Variable in class meka.gui.dataviewer.DataViewerDialog
-
Click to undo the last action
- m_UndoEnabled - Variable in class meka.gui.dataviewer.DataTableModel
-
whether undo is active
- m_UndoList - Variable in class meka.gui.dataviewer.DataTableModel
-
the undo list (contains temp.
- m_UnMaximizedBounds - Variable in class meka.gui.core.MaximizationFixWindowListener
-
the unmaximized size/location.
- m_UpperRuns - Variable in class meka.experiment.evaluators.RepeatedRuns
-
the upper number of runs (included).
- m_UseOptimalColumnWidths - Variable in class meka.gui.core.SortableAndSearchableTable
-
whether to automatically set optimal column widths.
- m_v - Variable in class meka.classifiers.multilabel.PLST
-
- m_Value - Variable in class meka.gui.core.SortableAndSearchableWrapperTableModel.SortContainer
-
the value to sort.
- m_Verbosity - Variable in class meka.experiment.evaluators.CrossValidation
-
the verbosity option.
- m_Verbosity - Variable in class meka.experiment.evaluators.PercentageSplit
-
the verbosity option.
- m_VOP - Variable in class meka.gui.explorer.ClassifyTab
-
the verbosity option.
- m_Wait - Variable in class meka.gui.core.MaximizationFixWindowListener
-
the wait period in msec.
- m_Width - Variable in class meka.classifiers.multilabel.CDT
-
- m_Width - Variable in class meka.classifiers.multilabel.CT
-
- main(String[]) - Static method in class meka.classifiers.multilabel.BCC
-
- main(String[]) - Static method in class meka.classifiers.multilabel.BPNN
-
- main(String[]) - Static method in class meka.classifiers.multilabel.BR
-
- main(String[]) - Static method in class meka.classifiers.multilabel.BRq
-
- main(String[]) - Static method in class meka.classifiers.multilabel.cc.CNode
-
Main - run some tests.
- main(String[]) - Static method in class meka.classifiers.multilabel.CC
-
- main(String[]) - Static method in class meka.classifiers.multilabel.CCq
-
- main(String[]) - Static method in class meka.classifiers.multilabel.CDN
-
- main(String[]) - Static method in class meka.classifiers.multilabel.CDT
-
- main(String[]) - Static method in class meka.classifiers.multilabel.CT
-
- main(String[]) - Static method in class meka.classifiers.multilabel.DBPNN
-
- main(String[]) - Static method in class meka.classifiers.multilabel.FW
-
- main(String[]) - Static method in class meka.classifiers.multilabel.HASEL
-
- main(String[]) - Static method in class meka.classifiers.multilabel.incremental.BRUpdateable
-
- main(String[]) - Static method in class meka.classifiers.multilabel.incremental.CCUpdateable
-
- main(String[]) - Static method in class meka.classifiers.multilabel.incremental.MajorityLabelsetUpdateable
-
- main(String[]) - Static method in class meka.classifiers.multilabel.incremental.meta.BaggingMLUpdateable
-
- main(String[]) - Static method in class meka.classifiers.multilabel.incremental.PSUpdateable
-
- main(String[]) - Static method in class meka.classifiers.multilabel.incremental.RTUpdateable
-
- main(String[]) - Static method in class meka.classifiers.multilabel.LC
-
- main(String[]) - Static method in class meka.classifiers.multilabel.MajorityLabelset
-
- main(String[]) - Static method in class meka.classifiers.multilabel.Maniac
-
Main method for testing.
- main(String[]) - Static method in class meka.classifiers.multilabel.MCC
-
- main(String[]) - Static method in class meka.classifiers.multilabel.meta.BaggingML
-
- main(String[]) - Static method in class meka.classifiers.multilabel.meta.BaggingMLdup
-
- main(String[]) - Static method in class meka.classifiers.multilabel.meta.CM
-
- main(String[]) - Static method in class meka.classifiers.multilabel.meta.DeepML
-
- main(String[]) - Static method in class meka.classifiers.multilabel.meta.EM
-
- main(String[]) - Static method in class meka.classifiers.multilabel.meta.EnsembleML
-
- main(String[]) - Static method in class meka.classifiers.multilabel.meta.FilteredClassifier
-
- main(String[]) - Static method in class meka.classifiers.multilabel.meta.MBR
-
- main(String[]) - Static method in class meka.classifiers.multilabel.meta.RandomSubspaceML
-
- main(String[]) - Static method in class meka.classifiers.multilabel.meta.SubsetMapper
-
- main(String[]) - Static method in class meka.classifiers.multilabel.MLCBMaD
-
Main method for testing.
- main(String[]) - Static method in class meka.classifiers.multilabel.MULAN
-
- main(String[]) - Static method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
-
- main(String[]) - Static method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkfast
-
Main method for testing this class.
- main(String[]) - Static method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparse
-
- main(String[]) - Static method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseH
-
- main(String[]) - Static method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT
-
- main(String[]) - Static method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT_Strange
-
- main(String[]) - Static method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseV
-
- main(String[]) - Static method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
-
- main(String[]) - Static method in class meka.classifiers.multilabel.neurofuzzy.SparseVector
-
- main(String[]) - Static method in class meka.classifiers.multilabel.neurofuzzy.ST
-
Unit tests the ST data type.
- main(String[]) - Static method in class meka.classifiers.multilabel.neurofuzzy.WARAM
-
- main(String[]) - Static method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
Main method for testing this class.
- main(String[]) - Static method in class meka.classifiers.multilabel.PCC
-
- main(String[]) - Static method in class meka.classifiers.multilabel.PLST
-
Main method for testing.
- main(String[]) - Static method in class meka.classifiers.multilabel.PMCC
-
- main(String[]) - Static method in class meka.classifiers.multilabel.PS
-
- main(String[]) - Static method in class meka.classifiers.multilabel.PSt
-
- main(String[]) - Static method in class meka.classifiers.multilabel.RAkEL
-
- main(String[]) - Static method in class meka.classifiers.multilabel.RAkELd
-
- main(String[]) - Static method in class meka.classifiers.multilabel.RT
-
- main(String[]) - Static method in class meka.classifiers.multitarget.BCC
-
- main(String[]) - Static method in class meka.classifiers.multitarget.CC
-
- main(String[]) - Static method in class meka.classifiers.multitarget.CCp
-
- main(String[]) - Static method in class meka.classifiers.multitarget.CR
-
- main(String[]) - Static method in class meka.classifiers.multitarget.meta.BaggingMT
-
- main(String[]) - Static method in class meka.classifiers.multitarget.meta.EnsembleMT
-
- main(String[]) - Static method in class meka.classifiers.multitarget.meta.FilteredClassifier
-
- main(String[]) - Static method in class meka.classifiers.multitarget.NSR
-
- main(String[]) - Static method in class meka.classifiers.multitarget.RAkELd
-
- main(String[]) - Static method in class meka.classifiers.multitarget.SCC
-
- main(String[]) - Static method in class meka.core.A
-
Do some tests.
- main(String[]) - Static method in class meka.core.Metrics
-
Do some tests.
- main(String[]) - Static method in class meka.core.MLEvalUtils
-
Main - can use this function for writing tests during development.
- main(String[]) - Static method in class meka.core.MLUtils
-
For retrieving some dataset statistics on the command line.
- main(String[]) - Static method in class meka.core.PropsUtils
-
Allows some basic operations on properties files:
read <props>- reads the specified props file and outputs it,
e.g., "read meka/gui/goe/MekaEditors.props"
find <props>- finds all occurrences of the specified props
file and outputs them, e.g., "find meka/gui/goe/MekaEditors.props"
- main(String[]) - Static method in class meka.core.StatUtils
-
Main - do some tests.
- main(String[]) - Static method in class meka.core.Version
-
Outputs the version on stdout.
- main(String[]) - Static method in class meka.filters.multilabel.SuperNodeFilter
-
- main(String[]) - Static method in class meka.filters.unsupervised.attribute.MekaClassAttributes
-
runs the filter with the given arguments.
- main(String[]) - Static method in class meka.gui.choosers.EvaluationStatisticsExporterFileChooser
-
Only for testing.
- main(String[]) - Static method in class meka.gui.choosers.EvaluationStatisticsFileChooser
-
Only for testing.
- main(String[]) - Static method in class meka.gui.choosers.ExperimentFileChooser
-
Only for testing.
- main(String[]) - Static method in class meka.gui.choosers.MeasurementEvaluationStatisticsExporterFileChooser
-
Only for testing.
- main(String[]) - Static method in class meka.gui.components.AttributeSelectionPanel
-
Tests the attribute selection panel from the command line.
- main(String[]) - Static method in class meka.gui.core.MarkdownTextAreaWithPreview
-
For testing only.
- main(String[]) - Static method in class meka.gui.core.MarkdownTextPane
-
For testing only.
- main(String[]) - Static method in class meka.gui.dataviewer.DataViewer
-
shows the frame and it tries to load all the arff files that were provided
as arguments.
- main(String[]) - Static method in class meka.gui.experimenter.Experimenter
-
Starts the GUI.
- main(String[]) - Static method in class meka.gui.explorer.Explorer
-
Starts the GUI.
- main(String[]) - Static method in class meka.gui.goe.GenericObjectEditor
-
For testing only.
- main(String[]) - Static method in class meka.gui.goe.GenericObjectEditorDialog
-
For testing only.
- main(String[]) - Static method in class meka.gui.goe.GenericPropertiesCreator
-
For testing only.
- main(String[]) - Static method in class meka.gui.guichooser.GUIChooser
-
Starts the GUI.
- main(String[]) - Static method in class meka.gui.modelviewer.ModelViewer
-
Starts the GUI.
- main(String[]) - Static method in class rbms.RBM
-
Main - do some test routines.
- MajorityLabelset - Class in meka.classifiers.multilabel
-
MajorityLabelset.java - The most simplest multi-label classifier.
- MajorityLabelset() - Constructor for class meka.classifiers.multilabel.MajorityLabelset
-
- MajorityLabelsetUpdateable - Class in meka.classifiers.multilabel.incremental
-
MajorityLabelsetUpdateable.java - Updateable version of MajorityLabelset.
- MajorityLabelsetUpdateable() - Constructor for class meka.classifiers.multilabel.incremental.MajorityLabelsetUpdateable
-
- make() - Method in class meka.classifiers.multilabel.cc.Trellis
-
- make_sequence(int) - Static method in class meka.core.A
-
Make Sequence - Given L, generate and return new int[]{0,1,2,3,...,L-1}.
- make_sequence(int, int) - Static method in class meka.core.A
-
Make Sequence - Generate and return new int[]{start,start+1,...,end-2,end-1}.
- makeCopies(MultiLabelClassifier, int) - Static method in class meka.classifiers.multilabel.AbstractMultiLabelClassifier
-
Creates a given number of deep copies of the given multi-label classifier using serialization.
- makeCopies(MultiLabelClassifier, int) - Static method in class meka.classifiers.multilabel.ProblemTransformationMethod
-
Creates a given number of deep copies of the given multi-label classifier using serialization.
- makeLabelSetMap(Instances) - Static method in class meka.core.PSUtils
-
- makePartitionDataset(Instances, int[]) - Static method in class meka.core.SuperLabelUtils
-
Make Partition Dataset - out of dataset D, on indices part[].
- makePartitionDataset(Instances, int[], int, int) - Static method in class meka.core.SuperLabelUtils
-
Make Partition Dataset - out of dataset D, on indices part[].
- makeW(int, int, Random) - Static method in class rbms.RBM
-
Make W matrix of dimensions d+1 and h+1 (+1 for biases).
- makeW(int, int) - Method in class rbms.RBM
-
- Maniac - Class in meka.classifiers.multilabel
-
Maniac - Multi-lAbel classificatioN using AutoenCoders.
- Maniac() - Constructor for class meka.classifiers.multilabel.Maniac
-
- margDepMatrix(Instances, String) - Static method in class meka.core.StatUtils
-
MargDepMatrix - Get an Unconditional Depndency Matrix.
- MarkdownDialog - Class in meka.gui.core
-
Dialog for editing/previewing Markdown.
- MarkdownDialog() - Constructor for class meka.gui.core.MarkdownDialog
-
Creates a modeless dialog without a title and without a specified Frame
owner.
- MarkdownDialog(Dialog) - Constructor for class meka.gui.core.MarkdownDialog
-
Creates a modeless dialog without a title with the specified Dialog as
its owner.
- MarkdownDialog(Dialog, Dialog.ModalityType) - Constructor for class meka.gui.core.MarkdownDialog
-
Creates a dialog with the specified owner Dialog and modality.
- MarkdownDialog(Dialog, String) - Constructor for class meka.gui.core.MarkdownDialog
-
Creates a modeless dialog with the specified title and with the specified
owner dialog.
- MarkdownDialog(Dialog, String, Dialog.ModalityType) - Constructor for class meka.gui.core.MarkdownDialog
-
Creates a dialog with the specified title, modality and the specified
owner Dialog.
- MarkdownDialog(Frame) - Constructor for class meka.gui.core.MarkdownDialog
-
Creates a modeless dialog without a title with the specified Frame as
its owner.
- MarkdownDialog(Frame, boolean) - Constructor for class meka.gui.core.MarkdownDialog
-
Creates a dialog with the specified owner Frame, modality and an empty
title.
- MarkdownDialog(Frame, String) - Constructor for class meka.gui.core.MarkdownDialog
-
Creates a modeless dialog with the specified title and with the specified
owner frame.
- MarkdownDialog(Frame, String, boolean) - Constructor for class meka.gui.core.MarkdownDialog
-
Creates a dialog with the specified owner Frame, modality and title.
- MarkdownTextAreaWithPreview - Class in meka.gui.core
-
Text area for handling Markdown with code and preview tabs.
- MarkdownTextAreaWithPreview() - Constructor for class meka.gui.core.MarkdownTextAreaWithPreview
-
- MarkdownTextPane - Class in meka.gui.core
-
Renders Markdown text.
- MarkdownTextPane() - Constructor for class meka.gui.core.MarkdownTextPane
-
- matches(String) - Method in class meka.gui.core.SearchParameters
-
Matches the search string against the provided string.
- matches(Integer) - Method in class meka.gui.core.SearchParameters
-
Matches the integer against the search string if it represents an
integer.
- matches(Double) - Method in class meka.gui.core.SearchParameters
-
Matches the double against the search string if it represents an
double.
- matrixToInstances(Matrix, Instances) - Static method in class meka.core.MatrixUtils
-
Helper method that transforms a Matrix object to an Instances object.
- MatrixUtils - Class in meka.core
-
Utility functions relating to matrices.
- MatrixUtils() - Constructor for class meka.core.MatrixUtils
-
- max() - Method in class meka.classifiers.multilabel.neurofuzzy.ST
-
Returns the largest key in the symbol table.
- max(double[]) - Static method in class meka.core.A
-
Max
- max(int[]) - Static method in class meka.core.A
-
Max
- MAX_ROWS - Static variable in class meka.gui.core.JTableHelper
-
the maximum number of rows to use for calculation.
- MaximizationFixWindowListener - Class in meka.gui.core
-
Provides a work-around for platforms where the maximization of frames
(eg JFrame) results in strange behaviors.
- MaximizationFixWindowListener(Frame, boolean, int) - Constructor for class meka.gui.core.MaximizationFixWindowListener
-
Initializes the listener.
- MaximizationFixWindowListener(Frame, boolean, int, boolean) - Constructor for class meka.gui.core.MaximizationFixWindowListener
-
Initializes the listener.
- maxIndices(double[][]) - Static method in class meka.core.MatrixUtils
-
returns argmax_{j,k} M[j][k]
- maxItem(HashMap<?, Double>) - Static method in class meka.core.MLUtils
-
maxItem - argmax function for a HashMap
- maxValue - Variable in class meka.classifiers.multilabel.MajorityLabelset
-
- MBR - Class in meka.classifiers.multilabel.meta
-
MBR.java - Meta BR: BR stacked with feature outputs into another BR.
- MBR() - Constructor for class meka.classifiers.multilabel.meta.MBR
-
- MCC - Class in meka.classifiers.multilabel
-
MCC.java - CC with Monte Carlo optimisation.
- MCC() - Constructor for class meka.classifiers.multilabel.MCC
-
- meanSquaredError(double[][], double[][]) - Static method in class meka.core.MatrixUtils
-
- MeasurementEvaluationStatisticsExporterFileChooser - Class in meka.gui.choosers
-
File chooser for evaluation statistics exporters for a single measurement (only writers, no readers!).
- MeasurementEvaluationStatisticsExporterFileChooser() - Constructor for class meka.gui.choosers.MeasurementEvaluationStatisticsExporterFileChooser
-
- MeasurementEvaluationStatisticsTableModel - Class in meka.gui.core
-
Table model for displaying a Dataset X Classifier table for a specific measurement.
- MeasurementEvaluationStatisticsTableModel() - Constructor for class meka.gui.core.MeasurementEvaluationStatisticsTableModel
-
Initializes the model with no statistics.
- MeasurementEvaluationStatisticsTableModel(List<EvaluationStatistics>, String, boolean) - Constructor for class meka.gui.core.MeasurementEvaluationStatisticsTableModel
-
Initializes the model with the statistics.
- measurements(List<EvaluationStatistics>, MultiLabelClassifier, Instances, String) - Static method in class meka.experiment.evaluationstatistics.EvaluationStatisticsUtils
-
Returns all the values of a specific measurement for the specified classifier/dataset combination.
- measurements(List<EvaluationStatistics>, String, String, String) - Static method in class meka.experiment.evaluationstatistics.EvaluationStatisticsUtils
-
Returns all the values of a specific measurement for the specified classifier/dataset combination.
- measurements(List<EvaluationStatistics>) - Static method in class meka.experiment.evaluationstatistics.EvaluationStatisticsUtils
-
Returns all available measurements.
- measurementTipText() - Method in class meka.experiment.statisticsexporters.AbstractMeasurementEvaluationStatisticsExporter
-
Describes this property.
- measurementTipText() - Method in interface meka.experiment.statisticsexporters.FileBasedMeasurementEvaluationStatisticsExporter
-
Describes this property.
- meka.classifiers.multilabel - package meka.classifiers.multilabel
-
- meka.classifiers.multilabel.cc - package meka.classifiers.multilabel.cc
-
- meka.classifiers.multilabel.incremental - package meka.classifiers.multilabel.incremental
-
- meka.classifiers.multilabel.incremental.meta - package meka.classifiers.multilabel.incremental.meta
-
- meka.classifiers.multilabel.meta - package meka.classifiers.multilabel.meta
-
- meka.classifiers.multilabel.neurofuzzy - package meka.classifiers.multilabel.neurofuzzy
-
- meka.classifiers.multilabel.NN - package meka.classifiers.multilabel.NN
-
- meka.classifiers.multitarget - package meka.classifiers.multitarget
-
- meka.classifiers.multitarget.meta - package meka.classifiers.multitarget.meta
-
- meka.core - package meka.core
-
- meka.events - package meka.events
-
- meka.experiment - package meka.experiment
-
- meka.experiment.datasetproviders - package meka.experiment.datasetproviders
-
- meka.experiment.evaluationstatistics - package meka.experiment.evaluationstatistics
-
- meka.experiment.evaluators - package meka.experiment.evaluators
-
- meka.experiment.events - package meka.experiment.events
-
- meka.experiment.filehandlers - package meka.experiment.filehandlers
-
- meka.experiment.statisticsexporters - package meka.experiment.statisticsexporters
-
- meka.filters.multilabel - package meka.filters.multilabel
-
- meka.filters.unsupervised.attribute - package meka.filters.unsupervised.attribute
-
- meka.gui.choosers - package meka.gui.choosers
-
- meka.gui.components - package meka.gui.components
-
- meka.gui.core - package meka.gui.core
-
- meka.gui.dataviewer - package meka.gui.dataviewer
-
- meka.gui.events - package meka.gui.events
-
- meka.gui.experimenter - package meka.gui.experimenter
-
- meka.gui.experimenter.menu - package meka.gui.experimenter.menu
-
- meka.gui.explorer - package meka.gui.explorer
-
- meka.gui.explorer.classify - package meka.gui.explorer.classify
-
- meka.gui.goe - package meka.gui.goe
-
- meka.gui.guichooser - package meka.gui.guichooser
-
- meka.gui.modelviewer - package meka.gui.modelviewer
-
- meka.gui.modelviewer.renderers - package meka.gui.modelviewer.renderers
-
- meka2mulan(Instances, int) - Static method in class meka.core.F
-
meka2mulan - Move L label attributes from the beginning to end of attribute space of an Instances.
- meka2mulan(Instance, int) - Static method in class meka.core.F
-
meka2mulan - Move L label attributes from the beginning to end of attribute space of an Instance.
- MEKA_CREATOR_FILE - Static variable in class meka.gui.goe.GenericPropertiesCreator
-
The name of the properties file to use as a template.
- MEKA_EDITOR_PROPERTIES - Static variable in class meka.gui.goe.GenericObjectEditor
-
Contains the editor properties.
- MEKA_GUIEDITORS_PROPERTY_FILE - Static variable in class meka.gui.goe.GenericObjectEditor
-
the properties files containing the class/editor mappings.
- MekaClassAttributes - Class in meka.filters.unsupervised.attribute
-
Reorders attributes for MEKA to use as class attributes.
- MekaClassAttributes() - Constructor for class meka.filters.unsupervised.attribute.MekaClassAttributes
-
- MekaDialog - Class in meka.gui.core
-
A dialog that loads the size and location from the props file automatically.
- MekaDialog() - Constructor for class meka.gui.core.MekaDialog
-
Creates a modeless dialog without a title and without a specified Frame
owner.
- MekaDialog(Dialog) - Constructor for class meka.gui.core.MekaDialog
-
Creates a modeless dialog without a title with the specified Dialog as
its owner.
- MekaDialog(Dialog, Dialog.ModalityType) - Constructor for class meka.gui.core.MekaDialog
-
Creates a dialog with the specified owner Dialog and modality.
- MekaDialog(Dialog, String) - Constructor for class meka.gui.core.MekaDialog
-
Creates a modeless dialog with the specified title and with the specified
owner dialog.
- MekaDialog(Dialog, String, Dialog.ModalityType) - Constructor for class meka.gui.core.MekaDialog
-
Creates a dialog with the specified title, modality and the specified
owner Dialog.
- MekaDialog(Frame) - Constructor for class meka.gui.core.MekaDialog
-
Creates a modeless dialog without a title with the specified Frame as
its owner.
- MekaDialog(Frame, boolean) - Constructor for class meka.gui.core.MekaDialog
-
Creates a dialog with the specified owner Frame, modality and an empty
title.
- MekaDialog(Frame, String) - Constructor for class meka.gui.core.MekaDialog
-
Creates a modeless dialog with the specified title and with the specified
owner frame.
- MekaDialog(Frame, String, boolean) - Constructor for class meka.gui.core.MekaDialog
-
Creates a dialog with the specified owner Frame, modality and title.
- MekaFileChooser - Class in meka.gui.choosers
-
A file chooser dialog with directory bookmarks.
- MekaFileChooser() - Constructor for class meka.gui.choosers.MekaFileChooser
-
Constructs a MekaFileChooser
pointing to the user's
default directory.
- MekaFileChooser(String) - Constructor for class meka.gui.choosers.MekaFileChooser
-
Constructs a MekaFileChooser
using the given path.
- MekaFileChooser(File) - Constructor for class meka.gui.choosers.MekaFileChooser
-
Constructs a MekaFileChooser
using the given File
as the path.
- MekaFrame - Class in meka.gui.core
-
A frame that loads the size and location from the props file automatically.
- MekaFrame() - Constructor for class meka.gui.core.MekaFrame
-
Initializes the frame with no title.
- MekaFrame(String) - Constructor for class meka.gui.core.MekaFrame
-
Initializes the frame with the given title.
- MekaFrame(GraphicsConfiguration) - Constructor for class meka.gui.core.MekaFrame
-
Initializes the frame with no title.
- MekaFrame(String, GraphicsConfiguration) - Constructor for class meka.gui.core.MekaFrame
-
Initializes the frame with the specified title.
- MekaPanel - Class in meka.gui.core
-
- MekaPanel() - Constructor for class meka.gui.core.MekaPanel
-
Initializes the GUI.
- MekaPanelWithButtons - Class in meka.gui.core
-
Panel that offers associated buttons on the right-hand side.
- MekaPanelWithButtons() - Constructor for class meka.gui.core.MekaPanelWithButtons
-
- MekaTable - Class in meka.gui.core
-
A specialized JTable that allows double-clicking on header for resizing to
optimal width.
- MekaTable() - Constructor for class meka.gui.core.MekaTable
-
Constructs a default BaseTable
that is initialized with a default
data model, a default column model, and a default selection
model.
- MekaTable(int, int) - Constructor for class meka.gui.core.MekaTable
-
Constructs a BaseTable
with numRows
and numColumns
of empty cells using
DefaultTableModel
.
- MekaTable(Object[][], Object[]) - Constructor for class meka.gui.core.MekaTable
-
Constructs a BaseTable
to display the values in the two dimensional array,
rowData
, with column names, columnNames
.
- MekaTable(Vector, Vector) - Constructor for class meka.gui.core.MekaTable
-
Constructs a BaseTable
to display the values in the
Vector
of Vectors
, rowData
,
with column names, columnNames
.
- MekaTable(TableModel) - Constructor for class meka.gui.core.MekaTable
-
Constructs a BaseTable
that is initialized with
dm
as the data model, a default column model,
and a default selection model.
- MekaTable(TableModel, TableColumnModel) - Constructor for class meka.gui.core.MekaTable
-
Constructs a BaseTable
that is initialized with
dm
as the data model, cm
as the column model, and a default selection model.
- MekaTable(TableModel, TableColumnModel, ListSelectionModel) - Constructor for class meka.gui.core.MekaTable
-
Constructs a BaseTable
that is initialized with
dm
as the data model, cm
as the
column model, and sm
as the selection model.
- MENU_HELP - Static variable in class meka.gui.guichooser.AbstractMenuItemDefinition
-
"Help", the last menu.
- MENU_PROGRAM - Static variable in class meka.gui.guichooser.AbstractMenuItemDefinition
-
"Program", the first menu.
- MENU_TOOLS - Static variable in class meka.gui.guichooser.AbstractMenuItemDefinition
-
"Tools" menu.
- MENU_VISUALIZATION - Static variable in class meka.gui.guichooser.AbstractMenuItemDefinition
-
"Visualization" menu.
- MenuBarProvider - Interface in meka.gui.core
-
Interface for panels that generate a menu bar.
- mergeLabels(Instances, int[][], int, int) - Static method in class meka.filters.multilabel.SuperNodeFilter
-
Merge Labels - Make a new 'D', with labels made into superlabels, according to partition 'indices', and pruning values 'p' and 'n'.
- mergeLabels(Instances, int, int, int) - Static method in class meka.filters.multilabel.SuperNodeFilter
-
Merge Labels.
- MetaProblemTransformationMethod - Class in meka.classifiers.multilabel.meta
-
MultilabelMetaClassifier.java - For ensembles of multi-label methods.
- MetaProblemTransformationMethod() - Constructor for class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
-
- methodTipText() - Method in class meka.classifiers.multilabel.MULAN
-
- Metrics - Class in meka.core
-
Metrics.java - Evaluation Metrics.
- Metrics() - Constructor for class meka.core.Metrics
-
- min() - Method in class meka.classifiers.multilabel.neurofuzzy.ST
-
Returns the smallest key in the symbol table.
- min(int[]) - Static method in class meka.core.A
-
Minimum
- minus(LabelSet) - Method in class meka.core.LabelSet
-
- minus(int[], int[]) - Static method in class meka.core.LabelSet
-
Minus aka Set Difference, e.g., [3,4,7,9] \ [3,7] = [4,9].
- MLCBMaD - Class in meka.classifiers.multilabel
-
MLC-BMaD - Multi-Label Classification using Boolean Matrix Decomposition.
- MLCBMaD() - Constructor for class meka.classifiers.multilabel.MLCBMaD
-
- MLEvalUtils - Class in meka.core
-
MLEvalUtils - Utility functions for Evaluation.
- MLEvalUtils() - Constructor for class meka.core.MLEvalUtils
-
- mlu - Variable in class meka.classifiers.multilabel.incremental.PSUpdateable
-
- MLUtils - Class in meka.core
-
MLUtils - Helpful functions for dealing with multi-labelled data.
- MLUtils() - Constructor for class meka.core.MLUtils
-
- MNEMONIC_INDICATOR - Static variable in class meka.gui.core.GUIHelper
-
the mnemonic character indicator.
- mode(int[]) - Static method in class meka.core.A
-
Mode
- model - Variable in class meka.core.Result
-
- ModelViewer - Class in meka.gui.modelviewer
-
Simple viewer for serialized model files.
- ModelViewer() - Constructor for class meka.gui.modelviewer.ModelViewer
-
- ModelViewerDefinition - Class in meka.gui.guichooser
-
Launches the Model Viewer.
- ModelViewerDefinition() - Constructor for class meka.gui.guichooser.ModelViewerDefinition
-
- MOMENTUM - Variable in class rbms.RBM
-
- momentumTipText() - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
-
- mostCommonCombination(Instances) - Static method in class meka.core.MLUtils
-
MostCommonCombination - Most common label combination in D.
- mostCommonCombination(Instances, int) - Static method in class meka.core.MLUtils
-
MostCommonCombination - Most common label combination in D (of L labels).
- mouseClicked(MouseEvent) - Method in class meka.gui.dataviewer.DataPanel
-
Invoked when a mouse button has been pressed and released on a component
- mouseEntered(MouseEvent) - Method in class meka.gui.dataviewer.DataPanel
-
Invoked when the mouse enters a component.
- mouseExited(MouseEvent) - Method in class meka.gui.dataviewer.DataPanel
-
Invoked when the mouse exits a component
- mousePressed(MouseEvent) - Method in class meka.gui.dataviewer.DataPanel
-
Invoked when a mouse button has been pressed on a component
- mouseReleased(MouseEvent) - Method in class meka.gui.dataviewer.DataPanel
-
Invoked when a mouse button has been released on a component.
- MouseUtils - Class in meka.gui.core
-
Helper class for mouse events.
- MouseUtils() - Constructor for class meka.gui.core.MouseUtils
-
- mTipText() - Method in class meka.classifiers.multilabel.PMCC
-
- mTipText() - Method in class meka.classifiers.multilabel.RAkEL
-
- MULAN - Class in meka.classifiers.multilabel
-
MULAN.java - A wrapper for MULAN classifiers
MULAN.
- MULAN() - Constructor for class meka.classifiers.multilabel.MULAN
-
- mulan2meka(Instances, int) - Static method in class meka.core.F
-
mulan2meka - Move label attributes from the End to the Beginning of attribute space (MULAN format to MEKA format).
- MultiDatasetProvider - Class in meka.experiment.datasetproviders
-
Combines multiple dataset providers.
- MultiDatasetProvider() - Constructor for class meka.experiment.datasetproviders.MultiDatasetProvider
-
- MultiExporter - Class in meka.experiment.statisticsexporters
-
Exports the statistics using multiple exporters.
- MultiExporter() - Constructor for class meka.experiment.statisticsexporters.MultiExporter
-
- MultiLabelClassifier - Interface in meka.classifiers.multilabel
-
Interface for multi-label classifiers.
- MultiLabelClassifierRenderer - Class in meka.gui.modelviewer.renderers
-
Renders MultiLabelClassifier objects.
- MultiLabelClassifierRenderer() - Constructor for class meka.gui.modelviewer.renderers.MultiLabelClassifierRenderer
-
- MultiLabelClassifierThreaded - Interface in meka.classifiers.multilabel
-
Interface for multi-label classifiers.
- MultiLabelDrawable - Interface in meka.core
-
Interface for classes that generate graphs per label.
- multiply(double[], double) - Static method in class meka.core.A
-
Multiply a vector with a constant.
- multiply(double[], double[]) - Static method in class meka.core.A
-
Multiply two vectors (element-wise) together.
- multiply(double[][], double) - Static method in class meka.core.MatrixUtils
-
Multiply - multiply each value in A[][] by constant K.
- multiply(double[][], double[][]) - Static method in class meka.core.MatrixUtils
-
Multiply - multiply matrices A and B together.
- multiply(double[], double[]) - Static method in class meka.core.MatrixUtils
-
Multiply - multiply vectors a and b together.
- multiplyTranspose(double[][], double[][]) - Static method in class meka.core.MatrixUtils
-
- MultiTargetCapable - Interface in meka.classifiers.multilabel
-
MultiTargetCapable.java - A multi-label Classifier that can also handle generic multi-target data.
- MultiTargetClassifier - Interface in meka.classifiers.multitarget
-
MultiTargetClassifier.java - A Multi-Target (i.e., Multi-Output / Multi-Dimensional) Classifier.
- sample(Instance, double[], Random) - Method in class meka.classifiers.multilabel.cc.CNode
-
Sample the distribution given by #distribution(Instance, double[]).
- sample(double[][], Random) - Static method in class meka.core.MatrixUtils
-
Sample - Returns Matrix C where each value C[j][k] is 1 with probability M[j][k] and 0 otherwise.
- sample(double[], Random) - Static method in class meka.core.MatrixUtils
-
Sample - Returns vector c where each value c[j][k] is 1 with probability v[j][k] and 0 otherwise.
- sample(Matrix, Random) - Static method in class meka.core.MatrixUtils
-
Sample - Returns Matrix C where each value C[j][k] is 1 with probability M[j][k] and 0 otherwise.
- sample_epoch(Matrix) - Method in class rbms.RBM
-
- sample_x(double[]) - Method in class rbms.RBM
-
Sample Visible - returns x[j] ~ p(x[j]==1|z) for each j-th element.
- sample_X(Matrix) - Method in class rbms.RBM
-
Sample Visible - returns X ~ P(X|Z).
- sample_Z(Matrix) - Method in class rbms.RBM
-
Sample Hidden Value - returns Z ~ P(Z|X).
- sample_z(double[]) - Method in class rbms.RBM
-
Sample Hidden Value - returns z[i] ~ p(z[i]==1|x) for each i-th element.
- sampleForInstance(Instance, Random) - Method in class meka.classifiers.multilabel.CC
-
SampleForInstance.
- sampleForInstanceFast(Instance[], Random) - Method in class meka.classifiers.multilabel.CC
-
SampleForInstance - given an Instance template for each label, and a Random.
- samplePMF(double[], Random) - Static method in class meka.core.A
-
Sample a PMF - select i with probabilitiy w[i] (w must be normalised)
- SAMPLES - Static variable in class meka.gui.explorer.classify.IncrementalPerformance
-
- SAMPLES - Static variable in class meka.gui.explorer.classify.ShowMacroCurve
-
- SAMPLES - Static variable in class meka.gui.explorer.classify.ShowMicroCurve
-
- save(int) - Method in class meka.gui.core.ResultHistoryList
-
Brings up a dialog to save the specified item to a file.
- save(File, ExperimentFileHandler) - Method in class meka.gui.experimenter.Experimenter
-
Saves the experiment to the specified file.
- save() - Method in class meka.gui.experimenter.Experimenter
-
Saves the current experiment.
- save() - Method in class meka.gui.experimenter.LogTab
-
Saves the logging content.
- save() - Method in class meka.gui.experimenter.Statistics
-
Prompts the user with a filechooser for saving the statistics to a file.
- save(File, AbstractFileSaver) - Method in class meka.gui.explorer.Explorer
-
Saves the data to the specified file.
- save() - Method in class meka.gui.explorer.Explorer
-
Saves the current dataset.
- save() - Method in class meka.gui.explorer.LogTab
-
Saves the logging content.
- saveAs() - Method in class meka.gui.experimenter.Experimenter
-
Saves the current experiment under a new name.
- saveAs() - Method in class meka.gui.explorer.Explorer
-
Saves the current dataset under a new name.
- saveChanges() - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
if the file is changed it pops up a dialog whether to change the settings.
- saveChanges(boolean) - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
if the file is changed it pops up a dialog whether to change the settings.
- SaveCSV - Class in meka.gui.explorer.classify
-
Allows the user to displays graphs of the performance of an incremental classifier if available.
- SaveCSV() - Constructor for class meka.gui.explorer.classify.SaveCSV
-
- saveFile() - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
saves the current data into a file
- saveFileAs() - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
saves the current data into a new file
- SaveGraphs - Class in meka.gui.explorer.classify
-
Allows the user to save the graphs.
- SaveGraphs() - Constructor for class meka.gui.explorer.classify.SaveGraphs
-
- saveMap(String, HashMap<LabelSet, Integer>) - Static method in class meka.core.PSUtils
-
SaveMap - Save the HashMap 'map' to the file 'filename'.
- SaveModel - Class in meka.gui.explorer.classify
-
Allows the user to save the model.
- SaveModel() - Constructor for class meka.gui.explorer.classify.SaveModel
-
- saveObject(Object, String) - Static method in class meka.core.MLUtils
-
Save Object - save 'object' into file 'filename'.
- SavePredictions - Class in meka.gui.explorer.classify
-
Allows the user to save the predictions to CSV.
- SavePredictions() - Constructor for class meka.gui.explorer.classify.SavePredictions
-
- scale(double) - Method in class meka.classifiers.multilabel.neurofuzzy.SparseVector
-
- SCC - Class in meka.classifiers.multitarget
-
SCC.java - Super Class Classifier (aka Super Node Classifier).
- SCC() - Constructor for class meka.classifiers.multitarget.SCC
-
- scrollColumnToVisible(int) - Method in class meka.gui.core.MekaTable
-
Scrolls the column into view.
- scrollRowToVisible(int) - Method in class meka.gui.core.MekaTable
-
Scrolls the row into view.
- scrollToVisible(int, int) - Method in class meka.gui.core.JTableHelper
-
Assumes table is contained in a JScrollPane.
- scrollToVisible(JTable, int, int) - Static method in class meka.gui.core.JTableHelper
-
Assumes table is contained in a JScrollPane.
- search(String, boolean) - Method in interface meka.gui.core.SearchableTable
-
Performs a search for the given string.
- search(String, boolean) - Method in interface meka.gui.core.SearchableTableModel
-
Performs a search for the given string.
- search() - Method in class meka.gui.core.SearchPanel
-
Imitates a click on the search button to initiate a search.
- search(String, boolean) - Method in class meka.gui.core.SortableAndSearchableTable
-
Performs a search for the given string.
- search(String, boolean) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
-
Performs a search for the given string.
- search() - Method in class meka.gui.dataviewer.DataPanel
-
searches for a string in the cells
- search() - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
searches for a string in the cells
- SearchableTable - Interface in meka.gui.core
-
Interface for Tables that can be searched.
- SearchableTableModel - Interface in meka.gui.core
-
Interface for TableModels that can be searched.
- SearchEvent - Class in meka.gui.events
-
Event gets sent when a search is to be initiated.
- SearchEvent(SearchPanel, String, boolean) - Constructor for class meka.gui.events.SearchEvent
-
Initializes the event.
- searchInitiated(SearchEvent) - Method in interface meka.gui.events.SearchListener
-
Gets called whenever a search should be performed.
- SearchListener - Interface in meka.gui.events
-
For classes that wait for search events sent by a SearchPanel.
- SearchPanel - Class in meka.gui.core
-
A panel that displays a search box.
- SearchPanel(SearchPanel.LayoutType, boolean) - Constructor for class meka.gui.core.SearchPanel
-
Initializes the panel.
- SearchPanel(SearchPanel.LayoutType, boolean, String, String) - Constructor for class meka.gui.core.SearchPanel
-
Initializes the panel.
- SearchPanel(SearchPanel.LayoutType, boolean, String, boolean, String) - Constructor for class meka.gui.core.SearchPanel
-
Initializes the panel with optional incremental search (and no search
button if incremental search turned on).
- SearchPanel.LayoutType - Enum in meka.gui.core
-
The layout of the panel.
- SearchParameters - Class in meka.gui.core
-
A container for search parameters.
- SearchParameters(String) - Constructor for class meka.gui.core.SearchParameters
-
Initializes the search with simple substring matching.
- SearchParameters(String, boolean) - Constructor for class meka.gui.core.SearchParameters
-
Initializes the search.
- seedTipText() - Method in class meka.classifiers.multilabel.BRq
-
- seedTipText() - Method in class meka.classifiers.multilabel.CC
-
- seedTipText() - Method in class meka.classifiers.multilabel.CCq
-
- seedTipText() - Method in class meka.classifiers.multilabel.CDN
-
- seedTipText() - Method in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
-
- seedTipText() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- seedTipText() - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
-
- seedTipText() - Method in class meka.classifiers.multilabel.PS
-
- seedTipText() - Method in class meka.experiment.evaluators.CrossValidation
-
Describes this property.
- seedTipText() - Method in class meka.experiment.evaluators.PercentageSplit
-
Describes this property.
- select(int[], int[]) - Static method in class meka.core.A
-
- SemisupervisedClassifier - Interface in meka.classifiers.multilabel
-
SemisupervisedClassifier.java - An Interface for Multilabel Semisupervised Classifiers.
- SEQUENTIAL - Static variable in class meka.core.ThreadUtils
-
the number of threads used to be considered sequential.
- Serialized - Class in meka.experiment.evaluationstatistics
-
Uses Java serialization for readin/writing the statistics.
- Serialized() - Constructor for class meka.experiment.evaluationstatistics.Serialized
-
- SerializedExperiment - Class in meka.experiment.filehandlers
-
Stores the experiment as a Java serialized object.
- SerializedExperiment() - Constructor for class meka.experiment.filehandlers.SerializedExperiment
-
- serialVersionUID - Static variable in class meka.classifiers.multilabel.Maniac
-
- serialVersionUID - Static variable in class meka.classifiers.multilabel.MLCBMaD
-
- SESSION_FILE - Static variable in class meka.gui.dataviewer.DataViewerMainPanel
-
the file to store the recent files in.
- SESSION_FILE - Static variable in class meka.gui.experimenter.Experimenter
-
the file to store the recent files in.
- SESSION_FILE - Static variable in class meka.gui.explorer.Explorer
-
the file to store the recent files in.
- SESSION_FILE - Static variable in class meka.gui.modelviewer.ModelViewer
-
the file to store the recent files in.
- SESSION_KEY_FILECHOOSER - Static variable in class meka.gui.explorer.classify.OpenTestData
-
the session key for the file filechooser.
- SESSION_KEY_MODELCHOOSER - Static variable in class meka.gui.explorer.classify.EditTestData
-
the session key for the model filechooser.
- SESSION_KEY_MODELCHOOSER - Static variable in class meka.gui.explorer.classify.OpenModel
-
the session key for the model filechooser.
- set(double[], int, double) - Static method in class meka.core.A
-
Set
- setAcceptAllFileFilterUsed(boolean) - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
-
Is always using false, since we can't determine the reader/writer based
on the extension.
- setAE(Autoencoder) - Method in class meka.classifiers.multilabel.Maniac
-
Sets the autoencoder (for using a trained one, e.g.
- setAggregationKeys(String) - Method in interface meka.experiment.statisticsexporters.AggregatedEvaluationStatisticsExporter
-
Sets the blank-separated list of keys to use for aggregating.
- setAggregationKeys(String) - Method in class meka.experiment.statisticsexporters.SimpleAggregate
-
Sets the blank-separated list of keys to use for aggregating.
- setApproveCaption(String) - Method in class meka.gui.core.ApprovalDialog
-
Sets the caption/text of the approve button.
- setApproveMnemonic(int) - Method in class meka.gui.core.ApprovalDialog
-
Sets the mnemonic of the approve button.
- setApproveVisible(boolean) - Method in class meka.gui.core.ApprovalDialog
-
Sets the visbility of the approve button.
- setAttributeIndices(String) - Method in class meka.filters.unsupervised.attribute.MekaClassAttributes
-
Set which attributes are to be used as MEKA class attributes.
- setAttSizePercent(int) - Method in class meka.classifiers.multilabel.meta.RandomSubspaceML
-
Sets the percentage of attributes to sample from the original set.
- setBagSizePercent(int) - Method in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
-
- setBeta(double) - Method in class meka.classifiers.multilabel.PMCC
-
Set the temperature factor
- setBounds(int, int, int, int) - Method in class meka.gui.core.MekaFrame
-
Updates the bounds of the window.
- setButtonCaption(String) - Method in class meka.gui.core.SearchPanel
-
The caption for the search button (incl.
- setButtons() - Method in class meka.gui.dataviewer.DataViewerDialog
-
sets the state of the buttons
- setCancelCaption(String) - Method in class meka.gui.core.ApprovalDialog
-
Sets the caption/text of the Cancel button.
- setCancelMnemonic(int) - Method in class meka.gui.core.ApprovalDialog
-
Sets the mnemonic of the Cancel button.
- setCancelVisible(boolean) - Method in class meka.gui.core.ApprovalDialog
-
Sets the visbility of the cancel button.
- setCaretPosition(int) - Method in class meka.gui.core.MarkdownTextAreaWithPreview
-
Sets the caret position.
- setCaretPosition(int) - Method in class meka.gui.core.MarkdownTextPane
-
Sets the position of the cursor.
- setCaretPositionLast() - Method in class meka.gui.core.MarkdownTextPane
-
Sets the position of the cursor at the end.
- setCenteredLocation() - Method in class meka.gui.dataviewer.DataViewer
-
positions the window at the center of the screen
- setChainIterations(int) - Method in class meka.classifiers.multilabel.MCC
-
Set the iterations of s (chain order)
- setChanged(boolean) - Method in class meka.gui.dataviewer.DataPanel
-
can only reset the changed state to FALSE
- setClassifier(Classifier) - Method in class meka.classifiers.multilabel.LabelTransformationClassifier
-
- setClassifier(Classifier) - Method in class meka.classifiers.multilabel.meta.FilteredClassifier
-
Set the base learner.
- setClassifier(Classifier) - Method in class meka.classifiers.multitarget.meta.FilteredClassifier
-
Set the base learner.
- setClassifiers(MultiLabelClassifier[]) - Method in class meka.experiment.DefaultExperiment
-
Sets the classifiers to be evaluated.
- setClassifiers(MultiLabelClassifier[]) - Method in interface meka.experiment.Experiment
-
Sets the classifiers to be evaluated.
- setClusterVigilance(double) - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
-
- setColumns(int) - Method in class meka.gui.core.MarkdownTextAreaWithPreview
-
Sets the columns.
- setComboBoxIndices(Instances, ThresholdVisualizePanel) - Method in class meka.gui.explorer.classify.AbstractShowThresholdCurve
-
Sets the combobox indices.
- setCompression(double) - Method in class meka.classifiers.multilabel.Maniac
-
Set the Compression
value.
- setConfirmExit(boolean) - Method in class meka.gui.dataviewer.DataViewer
-
whether to present a MessageBox on Exit or not
- setConfirmExit(boolean) - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
whether to present a MessageBox on Exit or not
- setCorrectOpenFileFilter(File) - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
-
Attempts to set the correct file filter for the specified file, using its
extension to determine the file filter.
- setCorrectOpenFileFilter(File) - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
-
Attempts to set the correct file filter for the specified file, using its
extension to determine the file filter.
- setCorrectSaveFileFilter(File) - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
-
Attempts to set the correct file filter for the specified file, using its
extension to determine the file filter.
- setCorrectSaveFileFilter(File) - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
-
Attempts to set the correct file filter for the specified file, using its
extension to determine the file filter.
- setCurrent(Object) - Method in class meka.gui.goe.GenericObjectEditorDialog
-
Sets the current object.
- setCurrentFilename(String) - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
sets the filename of the current tab
- setData(Instances) - Method in class meka.gui.explorer.AbstractExplorerTab
-
Sets the data to use.
- setDatasetProvider(DatasetProvider) - Method in class meka.experiment.DefaultExperiment
-
Sets the dataset provider to use.
- setDatasetProvider(DatasetProvider) - Method in interface meka.experiment.Experiment
-
Sets the dataset provider to use.
- setDatasets(File[]) - Method in class meka.experiment.datasetproviders.LocalDatasetProvider
-
Sets the datasets to use in the experiment.
- setDebug(boolean) - Method in interface meka.classifiers.multilabel.MultiLabelClassifier
-
Set debugging mode.
- setDebug(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
-
- setDebug(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
-
- setDebug(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- setDebug(boolean) - Method in interface meka.classifiers.multitarget.MultiTargetClassifier
-
Set debugging mode.
- setDensity(int) - Method in class meka.classifiers.multilabel.CDT
-
SetDensity - Sets the neighbourhood density (number of neighbours for each node).
- setDensity(int) - Method in class meka.classifiers.multilabel.CT
-
SetDensity - Sets the neighbourhood density (number of neighbours for each node).
- setDependencyMetric(String) - Method in class meka.classifiers.multilabel.CDT
-
SetDependency - Sets the type of depependency to use in rearranging the trellis (None by default)
- setDependencyMetric(String) - Method in class meka.classifiers.multilabel.CT
-
SetDependency - Sets the type of depependency to use in rearranging the trellis
- setDependencyType(String) - Method in class meka.classifiers.multilabel.BCC
-
- setDiscardCaption(String) - Method in class meka.gui.core.ApprovalDialog
-
Sets the caption/text of the discard button.
- setDiscardMnemonic(int) - Method in class meka.gui.core.ApprovalDialog
-
Sets the mnemonic of the discard button.
- setDiscardVisible(boolean) - Method in class meka.gui.core.ApprovalDialog
-
Sets the visbility of the discard button.
- setDownSampleRatio(double) - Method in class meka.classifiers.multilabel.BRq
-
- setDownSampleRatio(double) - Method in class meka.classifiers.multilabel.CCq
-
Set the downsample ratio
- setE(int) - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
-
- setE(int) - Method in class rbms.RBM
-
SetE - set the number of epochs (if n is negative, it means max epochs).
- setEditable(boolean) - Method in class meka.gui.core.MarkdownTextAreaWithPreview
-
Sets whether the text area is editable or not.
- setEditable(boolean) - Method in class meka.gui.core.MarkdownTextPane
-
Sets whether the text pane is editable or not.
- setEditor(PropertyEditor) - Method in class meka.gui.goe.GenericObjectEditorDialog
-
Sets the editor to use.
- setEnabled(boolean) - Method in class meka.gui.core.ParameterPanel
-
Sets the enabled state of the panel.
- setEnabled(boolean) - Method in class meka.gui.core.SearchPanel
-
Sets the enabled state of the components.
- setEvaluator(Evaluator) - Method in class meka.experiment.DefaultExperiment
-
Sets the evaluator to use.
- setEvaluator(Evaluator) - Method in class meka.experiment.evaluators.AbstractMetaEvaluator
-
Sets the evaluator to use.
- setEvaluator(Evaluator) - Method in interface meka.experiment.Experiment
-
Sets the evaluator to use.
- setExitOnClose(boolean) - Method in class meka.gui.dataviewer.DataViewer
-
whether to do a System.exit(0) on close
- setExitOnClose(boolean) - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
whether to do a System.exit(0) on close
- setExperiment(Experiment) - Method in class meka.gui.experimenter.AbstractExperimenterTab
-
Sets the experiment to use.
- setExperiment(Experiment) - Method in class meka.gui.experimenter.AbstractSetupTab
-
Sets the experiment to use.
- setExporter(EvaluationStatisticsExporter) - Method in class meka.experiment.statisticsexporters.AbstractMetaEvaluationStatisticsExporter
-
Sets the exporter to use.
- setExporters(EvaluationStatisticsExporter[]) - Method in class meka.experiment.statisticsexporters.MultiExporter
-
Sets the exporters to use.
- setFastLearn(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- setFile(File) - Method in class meka.experiment.evaluationstatistics.AbstractFileBasedEvaluationStatisticsHandler
-
Sets the file to read from/write to.
- setFile(File) - Method in interface meka.experiment.evaluationstatistics.FileBasedEvaluationStatisticsHandler
-
Sets the file to read from/write to.
- setFile(File) - Method in class meka.experiment.statisticsexporters.AbstractFileBasedEvaluationStatisticsExporter
-
Sets the file to read from/write to.
- setFile(File) - Method in interface meka.experiment.statisticsexporters.FileBasedEvaluationStatisticsExporter
-
Sets the file to read from/write to.
- setFileMustExist(boolean) - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
-
Whether the selected file must exst (only open dialog).
- setFilename(String) - Method in class meka.gui.dataviewer.DataPanel
-
sets the filename
- setFilename(int, String) - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
sets the filename of the specified panel
- setFilter(Filter) - Method in class meka.experiment.statisticsexporters.WekaFilter
-
Sets the filter to use.
- setFolds(int) - Method in class meka.gui.explorer.ClassifyTabOptions
-
Sets the folds value.
- setH(int) - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
-
- setH(int[]) - Method in class rbms.DBM
-
Set hidden layers specification
- setH(int, int, int) - Method in class rbms.DBM
-
SetH - for a discriminative DBM (where the last h == L)
- setH(int, int) - Method in class rbms.DBM
-
SetH -
- setH(int) - Method in class rbms.DBM
-
- setH(int) - Method in class rbms.RBM
-
- setI(int) - Method in class meka.classifiers.multilabel.CDN
-
SetI - Sets the number of iterations.
- setI(int) - Method in class meka.classifiers.multitarget.SCC
-
- setIc(int) - Method in class meka.classifiers.multilabel.CDN
-
SetIc - Sets the number of collection iterations.
- setIncrementalDisabled(boolean) - Method in class meka.experiment.evaluationstatistics.KeyValuePairs
-
Sets whether incremental model is turned off.
- setIncrementalDisabled(boolean) - Method in interface meka.experiment.evaluationstatistics.OptionalIncrementalEvaluationStatisticsHandler
-
Sets whether incremental model is turned on.
- setIndices(int[][]) - Method in class meka.filters.multilabel.SuperNodeFilter
-
- setInferenceIterations(int) - Method in class meka.classifiers.multilabel.MCC
-
Set the inference iterations
- setInfo(String, String) - Method in class meka.core.Result
-
SetInfo.
- setinstance(Instance) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM.DistributionCalc
-
- setinstances(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM.BuildClassifier
-
- setinstances(Instances) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM.DistributionCalcM
-
- setInstances(Instances) - Method in class meka.gui.components.AttributeSelectionPanel
-
Sets the instances who's attribute names will be displayed.
- setInstances(Instances) - Method in class meka.gui.dataviewer.DataPanel
-
displays the given instances, i.e.
- setInstances(Instances) - Method in class meka.gui.dataviewer.DataSortedTableModel
-
sets the data
- setInstances(Instances) - Method in class meka.gui.dataviewer.DataTableModel
-
sets the data
- setInstances(Instances) - Method in class meka.gui.dataviewer.DataViewerDialog
-
sets the instances to display
- setIterations(int) - Method in class meka.classifiers.multilabel.meta.EM
-
- setIv(int) - Method in class meka.classifiers.multitarget.SCC
-
- setK(int) - Method in class meka.classifiers.multilabel.RAkELd
-
SetP - Sets the k parameter (size of partitions)
- setK(int) - Method in class meka.classifiers.multitarget.RAkELd
-
SetP - Sets the k parameter (size of partitions)
- setLabelsMissing(Instances) - Static method in class meka.core.MLUtils
-
SetLabelsMissing - Set all labels in D to missing.
- setLabelsMissing(Instance) - Static method in class meka.core.MLUtils
-
SetLabelsMissing - Set all labels in x to missing.
- setLabelsMissing(Instance, int) - Static method in class meka.core.MLUtils
-
SetLabelsMissing - Set all (L) labels in x to missing.
- setLearningRate(double) - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
-
- setLearningRate(double) - Method in class rbms.RBM
-
- setLimit(int) - Method in class meka.classifiers.multilabel.incremental.PSUpdateable
-
- setLineWrap(boolean) - Method in class meka.gui.core.MarkdownTextAreaWithPreview
-
Sets whether to line wrap or not.
- setLowerRuns(int) - Method in class meka.experiment.evaluators.RepeatedRuns
-
Sets the lower number of runs to perform (included).
- setM(int) - Method in class meka.classifiers.multilabel.PMCC
-
Set the population size
- setM(int) - Method in class meka.classifiers.multilabel.RAkEL
-
SetM - Sets the M parameter (number of subsets)
- setMarkdown(String) - Method in class meka.gui.core.MarkdownDialog
-
Sets the markdown text.
- setMeasurement(String, Object) - Method in class meka.core.Result
-
Set the measurement for metric 'metric'.
- setMeasurement(String) - Method in class meka.experiment.statisticsexporters.AbstractMeasurementEvaluationStatisticsExporter
-
Sets the measurement to use.
- setMeasurement(String) - Method in interface meka.experiment.statisticsexporters.FileBasedMeasurementEvaluationStatisticsExporter
-
Sets the measurement to use.
- setMeasurement(String) - Method in class meka.gui.core.MeasurementEvaluationStatisticsTableModel
-
Sets the measurement the model is for.
- setMethod(String) - Method in class meka.classifiers.multilabel.MULAN
-
Set a prescribed MULAN classifier configuration.
- setMinimumChars(int) - Method in class meka.gui.core.SearchPanel
-
Sets the minimum number of characters that the user needs to enter
before triggering a search event.
- setModel(String, String) - Method in class meka.core.Result
-
Set a model string.
- setModel(ListModel) - Method in class meka.gui.core.ResultHistoryList
-
- setModel(TableModel) - Method in class meka.gui.core.SortableAndSearchableTable
-
- setModel(TableModel) - Method in class meka.gui.dataviewer.DataTable
-
sets the new model
- setModified(boolean) - Method in class meka.gui.experimenter.AbstractSetupTab
-
Sets the modified state, updates the buttons.
- setMomentum(double) - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
-
- setMomentum(double) - Method in class rbms.RBM
-
- setN(int) - Method in class meka.classifiers.multilabel.NN.AbstractDeepNeuralNet
-
- setN(int) - Method in class meka.classifiers.multilabel.PS
-
SetN - Sets the subsampling value N, the (maximum) number of frequent labelsets to subsample from the infrequent labelsets.
- setN(int) - Method in class meka.filters.multilabel.SuperNodeFilter
-
- setNeuronsActivity(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- setNeuronsActivityFileName(String) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- setNotes(String) - Method in class meka.experiment.DefaultExperiment
-
Sets the notes.
- setNotes(String) - Method in interface meka.experiment.Experiment
-
Sets the notes.
- setNotificationEnabled(boolean) - Method in class meka.gui.dataviewer.DataSortedTableModel
-
sets whether the notification of changes is enabled
- setNotificationEnabled(boolean) - Method in class meka.gui.dataviewer.DataTableModel
-
sets whether the notification of changes is enabled
- setNumberAutoencoders(int) - Method in class meka.classifiers.multilabel.Maniac
-
Set the numberAutoencoders
value.
- setNumFolds(int) - Method in class meka.experiment.evaluators.CrossValidation
-
Set the number of folds.
- setNumIterations(int) - Method in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
-
- setNumThreads(int) - Method in interface meka.core.ThreadLimiter
-
Sets the number of threads to use.
- setNumThreads(int) - Method in class meka.experiment.evaluators.CrossValidation
-
Sets the number of threads to use.
- setNumThreads(int) - Method in class meka.experiment.evaluators.RepeatedRuns
-
Sets the number of threads to use.
- setO(int) - Method in class meka.classifiers.multilabel.PMCC
-
Set the temperature switch
- setOptimalColumnWidth(int) - Method in class meka.gui.core.JTableHelper
-
sets the optimal column width for the given column.
- setOptimalColumnWidth(JTable, int) - Static method in class meka.gui.core.JTableHelper
-
sets the optimal column width for the given column.
- setOptimalColumnWidth() - Method in class meka.gui.core.JTableHelper
-
sets the optimal column width for all columns.
- setOptimalColumnWidth(JTable) - Static method in class meka.gui.core.JTableHelper
-
sets the optimal column width for alls column if the given table.
- setOptimalColumnWidth() - Method in class meka.gui.core.MekaTable
-
Sets the optimal column width for all columns.
- setOptimalColumnWidth(int) - Method in class meka.gui.core.MekaTable
-
Sets the optimal column width for the specified column.
- setOptimalColWidth() - Method in class meka.gui.dataviewer.DataPanel
-
calculates the optimal column width for the current column
- setOptimalColWidths() - Method in class meka.gui.dataviewer.DataPanel
-
calculates the optimal column widths for all columns
- setOptimalColWidths() - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
sets the optimal column width for all columns
- setOptimalHeaderWidth(int) - Method in class meka.gui.core.JTableHelper
-
sets the optimal header width for the given column.
- setOptimalHeaderWidth(JTable, int) - Static method in class meka.gui.core.JTableHelper
-
sets the optimal header width for the given column.
- setOptimalHeaderWidth() - Method in class meka.gui.core.JTableHelper
-
sets the optimal header width for all columns.
- setOptimalHeaderWidth(JTable) - Static method in class meka.gui.core.JTableHelper
-
sets the optimal header width for alls column if the given table.
- setOptimizeAE(boolean) - Method in class meka.classifiers.multilabel.Maniac
-
Set the OptimizeAE
value.
- setOptions(String[]) - Method in class meka.classifiers.multilabel.BCC
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.BRq
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.CC
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.CCq
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.CDN
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.CDT
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.CT
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.incremental.PSUpdateable
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.Maniac
-
Sets the options to the given values in the array.
- setOptions(String[]) - Method in class meka.classifiers.multilabel.MCC
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.meta.EM
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.meta.RandomSubspaceML
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.MLCBMaD
-
Sets the options to the given values in the array.
- setOptions(String[]) - Method in class meka.classifiers.multilabel.MULAN
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
-
Parses a given list of options.
- setOptions(String[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkfast
-
Parses a given list of options.
- setOptions(String[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparse
-
Parses a given list of options.
- setOptions(String[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseH
-
Parses a given list of options.
- setOptions(String[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT
-
Parses a given list of options.
- setOptions(String[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT_Strange
-
Parses a given list of options.
- setOptions(String[]) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseV
-
Parses a given list of options.
- setOptions(String[]) - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
-
Parses a given list of options.
- setOptions(String[]) - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
-
Parses a given list of options.
- setOptions(String[]) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
Parses a given list of options.
- setOptions(String[]) - Method in class meka.classifiers.multilabel.NN.AbstractDeepNeuralNet
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.PLST
-
Sets the options to the given values in the array.
- setOptions(String[]) - Method in class meka.classifiers.multilabel.PMCC
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.PS
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.RAkEL
-
- setOptions(String[]) - Method in class meka.classifiers.multilabel.RAkELd
-
- setOptions(String[]) - Method in class meka.classifiers.multitarget.RAkELd
-
- setOptions(String[]) - Method in class meka.classifiers.multitarget.SCC
-
- setOptions(String[]) - Method in class meka.experiment.datasetproviders.AbstractDatasetProvider
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.datasetproviders.LocalDatasetProvider
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.datasetproviders.MultiDatasetProvider
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.DefaultExperiment
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.evaluationstatistics.AbstractEvaluationStatisticsHandler
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.evaluationstatistics.AbstractFileBasedEvaluationStatisticsHandler
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.evaluationstatistics.KeyValuePairs
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.evaluators.AbstractEvaluator
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.evaluators.AbstractMetaEvaluator
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.evaluators.CrossValidation
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.evaluators.PercentageSplit
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.evaluators.RepeatedRuns
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.filehandlers.AbstractExperimentFileHandler
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.statisticsexporters.AbstractEvaluationStatisticsExporter
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.statisticsexporters.AbstractFileBasedEvaluationStatisticsExporter
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.statisticsexporters.AbstractMeasurementEvaluationStatisticsExporter
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.statisticsexporters.AbstractMetaEvaluationStatisticsExporter
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.statisticsexporters.MultiExporter
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.statisticsexporters.SimpleAggregate
-
Sets the options.
- setOptions(String[]) - Method in class meka.experiment.statisticsexporters.WekaFilter
-
Sets the options.
- setOptions(String[]) - Method in class meka.filters.unsupervised.attribute.MekaClassAttributes
-
Parses a given list of options.
- setOptions(String[]) - Method in class rbms.RBM
-
Set Options - WEKA-style option processing.
- setOwner(Experimenter) - Method in class meka.gui.experimenter.AbstractExperimenterTab
-
Sets the Experimenter instance this tab belongs to.
- setOwner(Experimenter) - Method in class meka.gui.experimenter.menu.AbstractExperimenterMenuItem
-
Sets the owner.
- setOwner(Explorer) - Method in class meka.gui.explorer.AbstractExplorerTab
-
Sets the Explorer instance this tab belongs to.
- setOwner(AbstractExplorerTab) - Method in class meka.gui.explorer.AbstractResultHistoryPlugin
-
- setP(int) - Method in class meka.classifiers.multilabel.PS
-
SetP - Sets the pruning value P, defining an infrequent labelset as one which occurs less than P times in the data (P = 0 defaults to LC).
- setP(int) - Method in class meka.filters.multilabel.SuperNodeFilter
-
- setParent(Container) - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
sets the new parent frame
- setPath(Instance, double[]) - Static method in class meka.core.CCUtils
-
SetPath - set 'path[]' into the first L attributes of Instance 'xy'.
- setPayoff(String) - Method in class meka.classifiers.multilabel.MCC
-
Set the payoff function
- setPopupMenuCustomizer(ResultHistoryList.ResultHistoryPopupMenuCustomizer) - Method in class meka.gui.core.ResultHistoryList
-
Sets the customizer to use for the popup menu.
- setPreferredDimensionJSpinner(Dimension) - Method in class meka.gui.core.ParameterPanel
-
Sets the preferred dimension for JSpinner and derived classes.
- setPreferredScrollableViewportSize(Dimension) - Method in class meka.gui.components.AttributeSelectionPanel
-
- setPreferredSize(JPanel) - Method in class meka.gui.experimenter.AbstractSetupTab
-
Sets the preferred size of the panel.
- setPreserveOrder(boolean) - Method in class meka.experiment.evaluators.CrossValidation
-
Sets whether to preserve the order instead of randomizing the data.
- setPreserveOrder(boolean) - Method in class meka.experiment.evaluators.PercentageSplit
-
Sets whether to preserve the order instead of randomizing the data.
- setProviders(DatasetProvider[]) - Method in class meka.experiment.datasetproviders.MultiDatasetProvider
-
Sets the dataset providers to use.
- setRandomize(boolean) - Method in class meka.gui.explorer.ClassifyTabOptions
-
Sets the Randomize option
- setReadOnly(boolean) - Method in class meka.gui.dataviewer.DataPanel
-
sets whether the model is read-only
- setReadOnly(boolean) - Method in class meka.gui.dataviewer.DataSortedTableModel
-
sets whether the model is read-only
- setReadOnly(boolean) - Method in class meka.gui.dataviewer.DataTable
-
sets whether the model is read-only
- setReadOnly(boolean) - Method in class meka.gui.dataviewer.DataTableModel
-
sets whether the model is read-only
- setRegularExpression(boolean) - Method in class meka.gui.core.SearchPanel
-
Sets whether the search text is a regular expression one or not.
- setRows(int) - Method in class meka.gui.core.MarkdownTextAreaWithPreview
-
Sets the rows.
- setSamples(int) - Method in class meka.gui.explorer.ClassifyTabOptions
-
Sets the samples value for prequential evaluation.
- setSearchString(String) - Method in class meka.gui.dataviewer.DataTable
-
sets the search string to look for in the table, NULL or "" disables the
search
- setSearchText(String) - Method in class meka.gui.core.SearchPanel
-
Sets the search text.
- setSeed(int) - Method in class meka.classifiers.multilabel.BRq
-
- setSeed(int) - Method in class meka.classifiers.multilabel.CC
-
- setSeed(int) - Method in class meka.classifiers.multilabel.CCq
-
- setSeed(int) - Method in class meka.classifiers.multilabel.CDN
-
- setSeed(int) - Method in class meka.classifiers.multilabel.meta.MetaProblemTransformationMethod
-
- setSeed(int) - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
-
- setSeed(int) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- setSeed(int) - Method in class meka.classifiers.multilabel.NN.AbstractNeuralNet
-
- setSeed(int) - Method in class meka.classifiers.multilabel.PS
-
SetSeed - Use random P and N values (in this case P and N arguments determine a range of values to select from randomly, e.g., -P 1-5 selects P randomly in {1,2,3,4,5}.
- setSeed(int) - Method in class meka.experiment.evaluators.CrossValidation
-
Set the seed for random number generation.
- setSeed(int) - Method in class meka.experiment.evaluators.PercentageSplit
-
Set the seed for random number generation.
- setSeed(int) - Method in class meka.gui.explorer.ClassifyTabOptions
-
Sets the seed value.
- setSeed(int) - Method in class rbms.RBM
-
- setSelectedAttributes(boolean[]) - Method in class meka.gui.components.AttributeSelectionPanel
-
Set the selected attributes in the widget.
- setSelectedColumn(int) - Method in class meka.gui.dataviewer.DataTable
-
sets the selected column
- setSessionValue(String, Object) - Method in class meka.gui.explorer.AbstractResultHistoryPlugin
-
Sets a session value.
- setSessionValue(T, String, Object) - Method in class meka.gui.explorer.AbstractTabMenuItem
-
Sets a session value.
- setShowAttributeIndex(boolean) - Method in class meka.gui.dataviewer.DataPanel
-
Sets whether to display the attribute index in the header.
- setShowAttributeIndex(boolean) - Method in class meka.gui.dataviewer.DataSortedTableModel
-
Sets whether to display the attribute index in the header.
- setShowAttributeIndex(boolean) - Method in class meka.gui.dataviewer.DataTableModel
-
Sets whether to display the attribute index in the header.
- setShowIndex(boolean) - Method in class meka.gui.core.MeasurementEvaluationStatisticsTableModel
-
Sets whether to show an index or the classifier in the header.
- setSize(int) - Method in class meka.classifiers.multilabel.MLCBMaD
-
Sets the size of the compressed labels.
- setSize(int) - Method in class meka.classifiers.multilabel.PLST
-
Sets the size of the compressed labels.
- setSkipCount(boolean) - Method in class meka.experiment.statisticsexporters.SimpleAggregate
-
Sets whether to skip the count.
- setSkipMean(boolean) - Method in class meka.experiment.statisticsexporters.SimpleAggregate
-
Sets whether to skip the mean.
- setSkipStdDev(boolean) - Method in class meka.experiment.statisticsexporters.SimpleAggregate
-
Sets whether to skip the stdDev.
- setSortNewTableModel(boolean) - Method in class meka.gui.core.SortableAndSearchableTable
-
Sets whether to sort new models.
- setSparse(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- setSparseH(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- setSparseHT(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- setSplitPercentage(double) - Method in class meka.gui.explorer.ClassifyTabOptions
-
Sets the percentage value.
- setStatisticsHandler(EvaluationStatisticsHandler) - Method in class meka.experiment.DefaultExperiment
-
Sets the statistics handler.
- setStatisticsHandler(EvaluationStatisticsHandler) - Method in interface meka.experiment.Experiment
-
Sets the statistics handler.
- setSuffixCount(String) - Method in class meka.experiment.statisticsexporters.SimpleAggregate
-
Sets the suffix for the count.
- setSuffixMean(String) - Method in class meka.experiment.statisticsexporters.SimpleAggregate
-
Sets the suffix for the mean.
- setSuffixStdDev(String) - Method in class meka.experiment.statisticsexporters.SimpleAggregate
-
Sets the suffix for the stddev.
- setSupport(int) - Method in class meka.classifiers.multilabel.incremental.PSUpdateable
-
- setTabTitle(JComponent) - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
sets the title of the tab that contains the given component
- setTemplate(Instance, Instances) - Static method in class meka.core.MLUtils
-
- setTemplate(Instance, Instance, Instances) - Static method in class meka.core.MLUtils
-
SetTemplate - returns a copy of x_template, set with x's attributes, and set to dataset D_template (of which x_template) is a template of this.
- setTestData(Instances) - Method in class meka.gui.explorer.ClassifyTab
-
Sets the test instances.
- setText(String) - Method in class meka.gui.core.MarkdownTextAreaWithPreview
-
Sets the markdown code to display.
- setText(String) - Method in class meka.gui.core.MarkdownTextPane
-
Sets the Markdown text and renders it.
- setTextColumns(int) - Method in class meka.gui.core.SearchPanel
-
Sets the number of columns for the text field.
- setTextFont(Font) - Method in class meka.gui.core.MarkdownTextAreaWithPreview
-
Sets the text font.
- setThreaded(boolean) - Method in interface meka.classifiers.multilabel.MultiLabelClassifierThreaded
-
- setThreaded(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetwork
-
- setThreaded(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkfast
-
- setThreaded(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparse
-
- setThreaded(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseH
-
- setThreaded(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT
-
- setThreaded(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseHT_Strange
-
- setThreaded(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.ARAMNetworkSparseV
-
- setThreaded(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
-
- setThreaded(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.WARAM
-
- setThreaded(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- setThreadedVoters(boolean) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- setThreshold(double) - Method in class meka.classifiers.multilabel.MLCBMaD
-
Sets the threshold for the Boolean matrix decomposition.
- setThreshold(double) - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
-
- setThreshold(double) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- setThreshold(String) - Method in class meka.experiment.evaluators.CrossValidation
-
Set the threshold option.
- setThreshold(String) - Method in class meka.experiment.evaluators.PercentageSplit
-
Set the threshold option.
- setTOP(String) - Method in class meka.gui.explorer.ClassifyTabOptions
-
Sets the threshold option
- setTrainPercentage(double) - Method in class meka.experiment.evaluators.PercentageSplit
-
Set the percentage to use for training.
- setUndoEnabled(boolean) - Method in class meka.gui.dataviewer.DataPanel
-
sets whether undo support is enabled
- setUndoEnabled(boolean) - Method in class meka.gui.dataviewer.DataSortedTableModel
-
sets whether undo support is enabled
- setUndoEnabled(boolean) - Method in class meka.gui.dataviewer.DataTableModel
-
sets whether undo support is enabled
- setUnsortedModel(TableModel) - Method in class meka.gui.core.SortableAndSearchableTable
-
Sets the base model to use.
- setUnsortedModel(TableModel, boolean) - Method in class meka.gui.core.SortableAndSearchableTable
-
Sets the base model to use.
- setUnsortedModel(TableModel) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
-
Sets the model to use.
- setUnsortedModel(TableModel, boolean) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
-
Sets the model to use.
- setUnsortedModel(TableModel) - Method in interface meka.gui.core.SortableTable
-
Sets the base model to use.
- setUnsortedModel(TableModel) - Method in interface meka.gui.core.SortableTableModel
-
Sets the base model to use.
- setUp(Instances) - Method in class meka.classifiers.multilabel.meta.FilteredClassifier
-
Sets up the filter and runs checks.
- Setup(File, Object) - Constructor for class meka.gui.core.RecentFilesHandlerWithCommandline.Setup
-
Initializes the setup container.
- Setup(String) - Constructor for class meka.gui.core.RecentFilesHandlerWithCommandline.Setup
-
Initializes the setup container using the string.
- setUpperRuns(int) - Method in class meka.experiment.evaluators.RepeatedRuns
-
Sets the upper number of runs to perform (included).
- setUseOptimalColumnWidhts(boolean) - Method in class meka.gui.core.SortableAndSearchableTable
-
Sets whether to automatically set optimal column widths.
- setValue(String, double) - Method in class meka.core.Result
-
SetValue.
- setValueAt(int, Double) - Method in class meka.classifiers.multilabel.neurofuzzy.SparseArray
-
Given an index in the range 0...size()-1
, sets a new
value for the index
th key-value mapping that this
SparseArray stores.
- setValueAt(Object, int, int) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
-
Sets the value in the cell at columnIndex and rowIndex to aValue.
- setValueAt(Object, int, int) - Method in class meka.gui.dataviewer.DataTableModel
-
sets the value in the cell at columnIndex and rowIndex to aValue.
- setValueAt(Object, int, int, boolean) - Method in class meka.gui.dataviewer.DataTableModel
-
sets the value in the cell at columnIndex and rowIndex to aValue.
- setValues(Instance, double[], int) - Static method in class meka.core.MLUtils
-
SetValues - set the attribute values in Instsance x (having L labels) to z[].
- setVerbosity(String) - Method in class meka.experiment.evaluators.CrossValidation
-
Set the verbosity option.
- setVerbosity(String) - Method in class meka.experiment.evaluators.PercentageSplit
-
Set the verbosity option.
- setVigilancy(double) - Method in class meka.classifiers.multilabel.neurofuzzy.HARAMNetwork
-
- setVigilancy(double) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- setVisible(boolean) - Method in class meka.gui.core.MekaDialog
-
closes/shows the dialog.
- setVisible(boolean) - Method in class meka.gui.core.MekaFrame
-
closes/shows the dialog.
- setVOP(String) - Method in class meka.gui.explorer.ClassifyTabOptions
-
Sets the verbosity option
- setVoters(int) - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- setWidth(int) - Method in class meka.classifiers.multilabel.CDT
-
SetH - Sets the trellis width.
- setWidth(int) - Method in class meka.classifiers.multilabel.CT
-
SetH - Sets the trellis width.
- setWrapStyleWord(boolean) - Method in class meka.gui.core.MarkdownTextAreaWithPreview
-
Sets whether to word wrap or not.
- shallowCopy(OptionHandler) - Static method in class meka.core.OptionUtils
-
Creates a shallow copy of the option handler, just using its options.
- show(int) - Method in class meka.gui.core.StatusBar.Animation
-
Shows the specified
- showAttributes() - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
displays all the attributes, returns the selected item or NULL if canceled
- showCell(int, int) - Method in class meka.gui.core.MekaTable
-
Displays the specified cell.
- showDialog(Component, String) - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
-
Pops a custom file chooser dialog with a custom approve button.
- showDialog() - Method in class meka.gui.dataviewer.DataViewerDialog
-
Pops up the modal dialog and waits for Cancel or OK.
- showDialog(Instances) - Method in class meka.gui.dataviewer.DataViewerDialog
-
Pops up the modal dialog and waits for Cancel or OK.
- ShowGraphs - Class in meka.gui.explorer.classify
-
Allows the user to displays graphs if available.
- ShowGraphs() - Constructor for class meka.gui.explorer.classify.ShowGraphs
-
- ShowMacroCurve - Class in meka.gui.explorer.classify
-
Allows the user to display the precision recall curves per label.
- ShowMacroCurve() - Constructor for class meka.gui.explorer.classify.ShowMacroCurve
-
- ShowMicroCurve - Class in meka.gui.explorer.classify
-
Allows the user to displays graphs of the performance of an incremental classifier if available.
- ShowMicroCurve() - Constructor for class meka.gui.explorer.classify.ShowMicroCurve
-
- showOpenDialog(Component) - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
-
Pops up an "Open File" file chooser dialog.
- showOpenDialog(Component) - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
-
Pops up an "Open File" file chooser dialog.
- showOptions() - Method in class meka.gui.explorer.ClassifyTab
-
Brings up the dialog with the classification options.
- ShowPrecisionRecall - Class in meka.gui.explorer.classify
-
Allows the user to display the precision recall curves per label.
- ShowPrecisionRecall() - Constructor for class meka.gui.explorer.classify.ShowPrecisionRecall
-
- showProperties() - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
displays some properties of the instances
- ShowROC - Class in meka.gui.explorer.classify
-
Allows the user to display the ROC curves per label.
- ShowROC() - Constructor for class meka.gui.explorer.classify.ShowROC
-
- showSaveDialog(Component) - Method in class meka.gui.choosers.AbstractConfigurableExtensionFileFilterFileChooser
-
Pops up an "Save File" file chooser dialog.
- showSaveDialog(Component) - Method in class meka.gui.choosers.AbstractExtensionFileFilterFileChooser
-
Pops up an "Save File" file chooser dialog.
- showStatus(String) - Method in class meka.gui.core.StatusBar
-
Displays the specified status message.
- showStatus(String) - Method in class meka.gui.experimenter.AbstractExperimenterTab
-
Displays the specified status message.
- showStatus(String) - Method in class meka.gui.explorer.AbstractExplorerTab
-
Displays the specified status message.
- showValues() - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
displays all the distinct values for an attribute
- shuffle(int[], Random) - Static method in class meka.core.A
-
Shuffle 'array' given Random 'r'
- sigma(double) - Static method in class meka.classifiers.multitarget.SCC
-
Sigmoid / Logistic function
- sigma(double) - Static method in class meka.core.MatrixUtils
-
Sigmoid / Logistic function
- sigma(double[]) - Static method in class meka.core.MatrixUtils
-
Sigmoid function applied to vector
- sigma(double[][]) - Static method in class meka.core.MatrixUtils
-
Sigmoid function applied to matrix (2D array)
- sigma(Matrix) - Static method in class meka.core.MatrixUtils
-
Sigmoid function applied to Matrix
- SimpleAggregate - Class in meka.experiment.statisticsexporters
-
Simple aggregator of statistics.
- SimpleAggregate() - Constructor for class meka.experiment.statisticsexporters.SimpleAggregate
-
- size - Variable in class meka.classifiers.multilabel.MLCBMaD
-
The size of the compressed matrix, i.e., the number of columns of Y'.
- size() - Method in class meka.classifiers.multilabel.neurofuzzy.SparseArray
-
Returns the number of key-value mappings that this SparseArray
currently stores.
- size() - Method in class meka.classifiers.multilabel.neurofuzzy.SparseVector
-
- size() - Method in class meka.classifiers.multilabel.neurofuzzy.ST
-
Returns the number of key-value pairs in this symbol table.
- size() - Method in class meka.core.Result
-
The number of value-prediction pairs stared in this Result
- size() - Method in class meka.gui.core.AbstractRecentItemsHandler
-
Returns the number of recent items currently stored.
- size() - Method in class meka.gui.core.ResultHistory
-
Returns the number of history items stored.
- sizeTipText() - Method in class meka.classifiers.multilabel.MLCBMaD
-
The tooltip for the size.
- sizeTipText() - Method in class meka.classifiers.multilabel.PLST
-
The tooltip for the size.
- skipCountTipText() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
-
Describes this property.
- skipMeanTipText() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
-
Describes this property.
- skipStdDevTipText() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
-
Describes this property.
- SLTransformation(Instances, int, String, int, int) - Static method in class meka.core.PSUtils
-
Transform instances into a multi-class representation.
- SLTransformation(Instances, int[][], int, int) - Static method in class meka.core.SuperLabelUtils
-
Super Label Transformation - transform dataset D into a dataset with k
multi-class target attributes.
- sort(int[]) - Static method in class meka.core.A
-
- sort(int) - Method in class meka.gui.core.SortableAndSearchableTable
-
sorts the table over the given column (ascending).
- sort(int, boolean) - Method in class meka.gui.core.SortableAndSearchableTable
-
sorts the table over the given column, either ascending or descending.
- sort(int) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
-
sorts the table over the given column (ascending).
- sort(int, boolean) - Method in class meka.gui.core.SortableAndSearchableWrapperTableModel
-
sorts the table over the given column, either ascending or descending.
- sort(int) - Method in interface meka.gui.core.SortableTable
-
sorts the table over the given column (ascending).
- sort(int, boolean) - Method in interface meka.gui.core.SortableTable
-
sorts the table over the given column, either ascending or descending.
- sort(int) - Method in interface meka.gui.core.SortableTableModel
-
sorts the table over the given column (ascending).
- sort(int, boolean) - Method in interface meka.gui.core.SortableTableModel
-
sorts the table over the given column, either ascending or descending.
- sort(int, boolean) - Method in class meka.gui.dataviewer.DataSortedTableModel
-
sorts the table over the given column, either ascending or descending
- SortableAndSearchableTable - Class in meka.gui.core
-
A specialized JTable that allows double-clicking on header for resizing to
optimal width, as well as being searchable and sortable.
- SortableAndSearchableTable() - Constructor for class meka.gui.core.SortableAndSearchableTable
-
Constructs a default SortedBaseTable
that is initialized with a default
data model, a default column model, and a default selection
model.
- SortableAndSearchableTable(int, int) - Constructor for class meka.gui.core.SortableAndSearchableTable
-
Constructs a SortedBaseTable
with numRows
and numColumns
of empty cells using
DefaultTableModel
.
- SortableAndSearchableTable(Object[][], Object[]) - Constructor for class meka.gui.core.SortableAndSearchableTable
-
Constructs a SortedBaseTable
to display the values in the two dimensional array,
rowData
, with column names, columnNames
.
- SortableAndSearchableTable(Vector, Vector) - Constructor for class meka.gui.core.SortableAndSearchableTable
-
Constructs a SortedBaseTable
to display the values in the
Vector
of Vectors
, rowData
,
with column names, columnNames
.
- SortableAndSearchableTable(TableModel) - Constructor for class meka.gui.core.SortableAndSearchableTable
-
Constructs a SortedBaseTable
that is initialized with
dm
as the data model, a default column model,
and a default selection model.
- SortableAndSearchableTable(TableModel, TableColumnModel) - Constructor for class meka.gui.core.SortableAndSearchableTable
-
Constructs a SortedBaseTable
that is initialized with
dm
as the data model, cm
as the column model, and a default selection model.
- SortableAndSearchableTable(TableModel, TableColumnModel, ListSelectionModel) - Constructor for class meka.gui.core.SortableAndSearchableTable
-
Constructs a SortedBaseTable
that is initialized with
dm
as the data model, cm
as the
column model, and sm
as the selection model.
- SortableAndSearchableWrapperTableModel - Class in meka.gui.core
-
Wraps around any table model and makes them automatically sortable and
searchable.
- SortableAndSearchableWrapperTableModel() - Constructor for class meka.gui.core.SortableAndSearchableWrapperTableModel
-
initializes with no model.
- SortableAndSearchableWrapperTableModel(TableModel) - Constructor for class meka.gui.core.SortableAndSearchableWrapperTableModel
-
initializes with the given model.
- SortableAndSearchableWrapperTableModel.SortContainer - Class in meka.gui.core
-
Helper class for sorting the columns.
- SortableTable - Interface in meka.gui.core
-
Interface for tables that are sortable.
- SortableTableModel - Interface in meka.gui.core
-
Interface for table models that are sortable.
- SortContainer(Comparable, int) - Constructor for class meka.gui.core.SortableAndSearchableWrapperTableModel.SortContainer
-
Initializes the container.
- sortInstances() - Method in class meka.gui.dataviewer.DataPanel
-
sorts the instances via the currently selected column
- sortInstances(int) - Method in class meka.gui.dataviewer.DataSortedTableModel
-
sorts the instances via the given attribute
- sortInstances(int, boolean) - Method in class meka.gui.dataviewer.DataSortedTableModel
-
sorts the instances via the given attribute
- sortInstances(int) - Method in class meka.gui.dataviewer.DataTableModel
-
sorts the instances via the given attribute
- sortInstances(int, boolean) - Method in class meka.gui.dataviewer.DataTableModel
-
sorts the instances via the given attribute
- sortInstances() - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
sorts the current selected attribute
- SparseArray - Class in meka.classifiers.multilabel.neurofuzzy
-
SparseArrays map integers to Objects.
- SparseArray() - Constructor for class meka.classifiers.multilabel.neurofuzzy.SparseArray
-
Creates a new SparseArray containing no mappings.
- SparseArray(int) - Constructor for class meka.classifiers.multilabel.neurofuzzy.SparseArray
-
Creates a new SparseArray containing no mappings that will not
require any additional memory allocation to store the specified
number of mappings.
- sparseHTipText() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- sparseHTTipText() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- sparseTipText() - Method in class meka.classifiers.multilabel.neurofuzzy.WvARAM
-
- SparseVector - Class in meka.classifiers.multilabel.neurofuzzy
-
- SparseVector(int) - Constructor for class meka.classifiers.multilabel.neurofuzzy.SparseVector
-
- squaredError(double[], double[]) - Static method in class meka.core.MatrixUtils
-
- SS(double[][]) - Static method in class meka.core.MatrixUtils
-
squared sum
- ST<Key extends Comparable<Key>,Value> - Class in meka.classifiers.multilabel.neurofuzzy
-
The ST class represents an ordered symbol table of generic
key-value pairs.
- ST() - Constructor for class meka.classifiers.multilabel.neurofuzzy.ST
-
Initializes an empty symbol table.
- start() - Method in class meka.gui.experimenter.Experimenter
-
Starts the experiment.
- start(Runnable) - Method in class meka.gui.explorer.AbstractThreadedExplorerTab
-
Starts the task.
- startBusy() - Method in class meka.gui.core.StatusBar
-
Starts the animated icon, without setting status message.
- startBusy(String) - Method in class meka.gui.core.StatusBar
-
Starts the animated icon, setting the specified status message.
- startBusy() - Method in class meka.gui.experimenter.AbstractExperimenterTab
-
Starts the animated icon, without setting status message.
- startBusy(String) - Method in class meka.gui.experimenter.AbstractExperimenterTab
-
Starts the animated icon, setting the specified status message.
- startBusy() - Method in class meka.gui.explorer.AbstractExplorerTab
-
Starts the animated icon, without setting status message.
- startBusy(String) - Method in class meka.gui.explorer.AbstractExplorerTab
-
Starts the animated icon, setting the specified status message.
- startClassification() - Method in class meka.gui.explorer.ClassifyTab
-
Starts the classification.
- stateChanged(ChangeEvent) - Method in class meka.gui.dataviewer.DataPanel
-
Invoked when the target of the listener has changed its state.
- stateChanged(ChangeEvent) - Method in class meka.gui.dataviewer.DataViewerDialog
-
Invoked when the target of the listener has changed its state.
- stateChanged(ChangeEvent) - Method in class meka.gui.dataviewer.DataViewerMainPanel
-
Invoked when the target of the listener has changed its state.
- Statistics - Class in meka.gui.experimenter
-
Tab for evaluating an experiment.
- Statistics() - Constructor for class meka.gui.experimenter.Statistics
-
- statisticsAvailable(StatisticsNotificationEvent) - Method in interface meka.experiment.events.StatisticsNotificationListener
-
Gets called if new statistics have become available.
- statisticsAvailable(StatisticsNotificationEvent) - Method in class meka.gui.experimenter.Experimenter
-
Gets called if new statistics have become available.
- statisticsAvailable(StatisticsNotificationEvent) - Method in class meka.gui.experimenter.Statistics
-
Gets called if new statistics have become available.
- statisticsHandlerTipText() - Method in class meka.experiment.DefaultExperiment
-
Describes this property.
- statisticsHandlerTipText() - Method in interface meka.experiment.Experiment
-
Describes this property.
- StatisticsNotificationEvent - Class in meka.experiment.events
-
Event that gets sent by an experiment when new statistics become available.
- StatisticsNotificationEvent(Experiment, List<EvaluationStatistics>) - Constructor for class meka.experiment.events.StatisticsNotificationEvent
-
Gets called when the experiment makes new statistics available.
- StatisticsNotificationListener - Interface in meka.experiment.events
-
Interface for classes that want to be notified whenever new statistics are available.
- StatusBar - Class in meka.gui.core
-
Statusbar for displaying short notifications and an animated icon,
e.g., when busy doing calculations.
- StatusBar() - Constructor for class meka.gui.core.StatusBar
-
- StatusBar.Animation - Class in meka.gui.core
-
the runnable for the animation.
- StatUtils - Class in meka.core
-
StatUtils - Helpful statistical functions.
- StatUtils() - Constructor for class meka.core.StatUtils
-
- stop() - Method in class meka.experiment.DefaultExperiment
-
Stops the experiment if running.
- stop() - Method in class meka.experiment.evaluators.AbstractEvaluator
-
Stops the evaluation, if possible.
- stop() - Method in class meka.experiment.evaluators.AbstractMetaEvaluator
-
Stops the evaluation, if possible.
- stop() - Method in class meka.experiment.evaluators.CrossValidation
-
Stops the evaluation, if possible.
- stop() - Method in interface meka.experiment.evaluators.Evaluator
-
Stops the evaluation, if possible.
- stop() - Method in class meka.experiment.evaluators.RepeatedRuns
-
Stops the evaluation, if possible.
- stop() - Method in interface meka.experiment.Experiment
-
Stops the experiment if still running.
- stop() - Method in class meka.gui.experimenter.Experimenter
-
Stops the current experiment.
- stop() - Method in class meka.gui.explorer.AbstractThreadedExplorerTab
-
Stops the execution.
- stopAnimation() - Method in class meka.gui.core.StatusBar.Animation
-
Stops the animation.
- stopClassification() - Method in class meka.gui.explorer.ClassifyTab
-
Stops the classification, if running.
- stripMnemonic(String) - Static method in class meka.gui.core.GUIHelper
-
Removes the mnemonic indicator in this caption.
- subset(int[], int[]) - Static method in class meka.core.LabelSet
-
Subset - returns > 0 if y1 \subsetof y2
- SubsetMapper - Class in meka.classifiers.multilabel.meta
-
Maps the output of a multi-label classifier to a known label combination using the hamming distance.
- SubsetMapper() - Constructor for class meka.classifiers.multilabel.meta.SubsetMapper
-
- subsetof(LabelSet) - Method in class meka.core.LabelSet
-
- subtract(double[][], double[][]) - Static method in class meka.core.MatrixUtils
-
- SUFFIX_COUNT - Static variable in class meka.experiment.statisticsexporters.SimpleAggregate
-
the suffix for the count.
- SUFFIX_MEAN - Static variable in class meka.experiment.statisticsexporters.SimpleAggregate
-
the suffix for the mean.
- SUFFIX_STDEV - Static variable in class meka.experiment.statisticsexporters.SimpleAggregate
-
the suffix for the stdev.
- suffixCountTipText() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
-
Describes this property.
- suffixMeanTipText() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
-
Describes this property.
- suffixStdDevTipText() - Method in class meka.experiment.statisticsexporters.SimpleAggregate
-
Describes this property.
- sum() - Method in class meka.classifiers.multilabel.neurofuzzy.SparseVector
-
- sum(double[]) - Static method in class meka.core.A
-
- sum(int[]) - Static method in class meka.core.A
-
- sum(int[][]) - Static method in class meka.core.MatrixUtils
-
Sum - sum this matrix.
- sum(double[][]) - Static method in class meka.core.MatrixUtils
-
Sum - sum this matrix.
- sumCounts(HashMap<LabelSet, Integer>) - Static method in class meka.core.PSUtils
-
Sum Counts - sum all the values in 'map'.
- SuperLabel - Class in meka.core
-
SuperLabel - A meta label is a label composed of multiple labels, e.g., [3,7], which can take multiple values, e.g., [[0,0],[0,1],[1,1]].
- SuperLabel(int[], int[][]) - Constructor for class meka.core.SuperLabel
-
SuperLabel
- SuperLabel(int[], Enumeration<String>) - Constructor for class meka.core.SuperLabel
-
- SuperLabel(int[], ArrayList<String>) - Constructor for class meka.core.SuperLabel
-
- SuperLabelUtils - Class in meka.core
-
SuperLabelUtils.java - Handy Utils for working with Meta Labels.
- SuperLabelUtils() - Constructor for class meka.core.SuperLabelUtils
-
- SuperNodeFilter - Class in meka.filters.multilabel
-
SuperNodeFilter.java - Super Class Filter.
- SuperNodeFilter() - Constructor for class meka.filters.multilabel.SuperNodeFilter
-
- supportsIncrementalUpdate() - Method in interface meka.experiment.evaluationstatistics.IncrementalEvaluationStatisticsHandler
-
Returns whether the handler supports incremental write.
- supportsIncrementalUpdate() - Method in class meka.experiment.evaluationstatistics.KeyValuePairs
-
Returns whether the handler supports incremental write.
- supportTipText() - Method in class meka.classifiers.multilabel.incremental.PSUpdateable
-
- swap(int, int) - Method in class meka.classifiers.multilabel.cc.Trellis
-
- swap(int[], int, int) - Static method in class meka.core.A
-
- swap(int[], Random) - Static method in class meka.core.A
-
- SystemInfo - Class in meka.core
-
Gathers information about the system environment.
- SystemInfo() - Constructor for class meka.core.SystemInfo
-
- SystemInfo - Class in meka.gui.guichooser
-
Displays the system info data.
- SystemInfo() - Constructor for class meka.gui.guichooser.SystemInfo
-