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All Classes All Packages

A

AArffLoader - Class in weka.core.converters

Safe version of the ArffLoader, always retaining string values.

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

AArffLoader.AArffReader - Class in weka.core.converters

AArffReader(Reader) - Constructor for class weka.core.converters.AArffLoader.AArffReader

Reads the data completely from the reader.

AArffReader(Reader, int) - Constructor for class weka.core.converters.AArffLoader.AArffReader

AArffReader(Reader, int, boolean) - Constructor for class weka.core.converters.AArffLoader.AArffReader

Reads only the header and reserves the specified space for instances.

AArffReader(Reader, Instances, int) - Constructor for class weka.core.converters.AArffLoader.AArffReader

Reads the data without header according to the specified template.

AArffReader(Reader, Instances, int, int) - Constructor for class weka.core.converters.AArffLoader.AArffReader

Initializes the reader without reading the header according to the specified template.

AArffReader(Reader, Instances, int, int, boolean) - Constructor for class weka.core.converters.AArffLoader.AArffReader

Initializes the reader without reading the header according to the specified template.

abortExperiment() - Method in class adams.gui.tools.wekamultiexperimenter.runner.AbstractAdamsExperimentRunner

Aborts the experiment.

abortExperiment() - Method in class adams.gui.tools.wekamultiexperimenter.runner.AbstractExperimentRunner

Aborts the experiment.

abortExperiment() - Method in class adams.gui.tools.wekamultiexperimenter.runner.RemoteWekaExperimentRunner

Aborts the experiment.

ABOVE - weka.classifiers.meta.ClassifierCascade.ThresholdCheck

absDev(int, Instances) - Static method in class weka.classifiers.trees.m5.Rule2

Returns the absolute deviation value of the supplied attribute index.

absErrTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassifiedAbs

Returns the tip text for this property

absErrTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassifiedRel

Returns the tip text for this property

ABSOLUTE - adams.flow.transformer.WekaBootstrapping.ErrorCalculation

AbsolutePredictionErrorComparator - Class in adams.flow.transformer.wekaevaluationpostprocessor

Comparator for predictions using the (absolute) prediction error (sorting increasingly).

AbsolutePredictionErrorComparator() - Constructor for class adams.flow.transformer.wekaevaluationpostprocessor.AbsolutePredictionErrorComparator

absoluteTipText() - Method in class weka.filters.unsupervised.attribute.CorrelationMatrix

Returns the tip text for this property.

AbstainAttributePercentile - Class in weka.classifiers.meta

Only predict if attribute value within percentile range.

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

AbstainAverage - Class in weka.classifiers.meta

Average base classifiers, abstain if difference outside thresholds

Valid options are:

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

AbstainAverageWithClassifierWeights - Class in weka.classifiers.meta

Average base classifiers, abstain if difference outside thresholds

Valid options are:

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

AbstainingCascade - Class in weka.classifiers.meta

The specified classifiers represent a cascade: if the first one abstains, the second is used (and so on), otherwise the prediction is returned.
If all classifiers prior to the last one abstained then the prediction of the last one is returned.

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

AbstainingClassifier - Interface in weka.classifiers

Interface for classifiers that may support abstaining.

AbstainingClassifierWrapper - Class in weka.classifiers.meta

Wraps an abstaining classifier and allows turning on/of abstaining.

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

Initializes the classifier.

AbstainingLWL - Class in weka.classifiers.lazy

LWL variant that supports abstaining if the base classifier is able to.

AbstainingLWL() - Constructor for class weka.classifiers.lazy.AbstainingLWL

AbstainLeastMedianSq - Class in weka.classifiers.meta

Finds the base classifier with the best least median squared error.

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

AbstainMinimumProbability - Class in weka.classifiers.meta

Abstains if the probability of the chosen class label is below the specified threshold.

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

AbstainVote - Class in weka.classifiers.meta

Finds the base classifier with the best least median squared error.

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

AbstractAdamsExperimentIO<T extends AbstractExperiment> - Class in adams.gui.tools.wekamultiexperimenter.io

Ancestor for classes that handle loading/saving of experiments.

AbstractAdamsExperimentIO() - Constructor for class adams.gui.tools.wekamultiexperimenter.io.AbstractAdamsExperimentIO

AbstractAdamsExperimentReader - Class in adams.data.io.input

Ancestor for readers for ADAMS Experiments.

AbstractAdamsExperimentReader() - Constructor for class adams.data.io.input.AbstractAdamsExperimentReader

AbstractAdamsExperimentRunner<T extends AbstractExperiment> - Class in adams.gui.tools.wekamultiexperimenter.runner

Ancestor for classes that handle running a copy of the experiment in a separate thread.

AbstractAdamsExperimentRunner(ExperimenterPanel) - Constructor for class adams.gui.tools.wekamultiexperimenter.runner.AbstractAdamsExperimentRunner

Initializes the thread.

AbstractAdamsExperimentWriter - Class in adams.data.io.output

Ancestor for ADAMS Experiment writers.

AbstractAdamsExperimentWriter() - Constructor for class adams.data.io.output.AbstractAdamsExperimentWriter

AbstractAdamsSetupPanel - Class in adams.gui.tools.wekamultiexperimenter.setup

Ancestor for setup panels for ADAMS experiments.

AbstractAdamsSetupPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.setup.AbstractAdamsSetupPanel

AbstractAdditionalExplorerPanel - Class in weka.gui.explorer.panels

Wrapper class for additional panels to be displayed in the Explorer.

AbstractAdditionalExplorerPanel() - Constructor for class weka.gui.explorer.panels.AbstractAdditionalExplorerPanel

AbstractAnalysisPanel - Class in adams.gui.tools.wekamultiexperimenter.analysis

Ancestor for panels that analysis experimental results.

AbstractAnalysisPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.analysis.AbstractAnalysisPanel

AbstractAssociatorEvaluation - Class in adams.gui.tools.wekainvestigator.tab.associatetab.evaluation

Ancestor for associator evaluation setups.

AbstractAssociatorEvaluation() - Constructor for class adams.gui.tools.wekainvestigator.tab.associatetab.evaluation.AbstractAssociatorEvaluation

AbstractAttributeCapabilities - Class in adams.flow.condition.bool

Ancestor for capabilities-based conditions.

AbstractAttributeCapabilities() - Constructor for class adams.flow.condition.bool.AbstractAttributeCapabilities

AbstractAttributeSelectionEvaluation - Class in adams.gui.tools.wekainvestigator.tab.attseltab.evaluation

Ancestor for attribute selection evaluation setups.

AbstractAttributeSelectionEvaluation() - Constructor for class adams.gui.tools.wekainvestigator.tab.attseltab.evaluation.AbstractAttributeSelectionEvaluation

AbstractCallableWekaClassifierEvaluator - Class in adams.flow.transformer

Ancestor for classifier evaluators that make use of a callable classifier.

AbstractCallableWekaClassifierEvaluator() - Constructor for class adams.flow.transformer.AbstractCallableWekaClassifierEvaluator

AbstractCallableWekaClustererEvaluator - Class in adams.flow.transformer

Ancestor for clusterer evaluators that make use of a callable clusterer.

AbstractCallableWekaClustererEvaluator() - Constructor for class adams.flow.transformer.AbstractCallableWekaClustererEvaluator

AbstractClassAttributeHeuristic - Class in adams.data.weka.classattribute

Ancestor for heuristics that determine the class attribute for a dataset.

AbstractClassAttributeHeuristic() - Constructor for class adams.data.weka.classattribute.AbstractClassAttributeHeuristic

AbstractClassifierBasedGeneticAlgorithm - Class in adams.opt.genetic

Ancestor for genetic algorithms that evaluate classifiers.

AbstractClassifierBasedGeneticAlgorithm() - Constructor for class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm

AbstractClassifierBasedGeneticAlgorithm.ClassifierBasedGeneticAlgorithmJob<T extends AbstractClassifierBasedGeneticAlgorithm> - Class in adams.opt.genetic

Job class for algorithms with datasets.

AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation - Class in adams.opt.genetic

Ancestor for genetic algorithms that offer a second evaluation using a different seed value.

AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation() - Constructor for class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation

AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation.ClassifierBasedGeneticAlgorithmWithSecondEvaluationJob<T extends AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation> - Class in adams.opt.genetic

Job class for algorithms with datasets.

AbstractClassifierBasedGeneticAlgorithmWizard - Class in adams.gui.menu

Ancestor for optimizing datasets (attribute selection) using a genetic algorithm.

AbstractClassifierBasedGeneticAlgorithmWizard() - Constructor for class adams.gui.menu.AbstractClassifierBasedGeneticAlgorithmWizard

Initializes the menu item with no owner.

AbstractClassifierBasedGeneticAlgorithmWizard(AbstractApplicationFrame) - Constructor for class adams.gui.menu.AbstractClassifierBasedGeneticAlgorithmWizard

Initializes the menu item.

AbstractClassifierBasedGeneticAlgorithmWizard.PerformancePlot - Class in adams.gui.menu

For plotting the performance of the genetic algorithm.

AbstractClassifierEvaluation - Class in adams.gui.tools.wekainvestigator.tab.classifytab.evaluation

Ancestor for classifier evaluation setups.

AbstractClassifierEvaluation() - Constructor for class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.AbstractClassifierEvaluation

AbstractClassifierSetupProcessor - Class in adams.flow.transformer.wekaclassifiersetupprocessor

Ancestor for schemes that preprocess classifier arrays.

AbstractClassifierSetupProcessor() - Constructor for class adams.flow.transformer.wekaclassifiersetupprocessor.AbstractClassifierSetupProcessor

AbstractClustererEvaluation - Class in adams.gui.tools.wekainvestigator.tab.clustertab.evaluation

Ancestor for clusterer evaluation setups.

AbstractClustererEvaluation() - Constructor for class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.AbstractClustererEvaluation

AbstractClustererPostProcessor - Class in adams.flow.transformer.wekaclusterer

Ancestor for post-processors for output that the WekaClusterer transformer produces.

AbstractClustererPostProcessor() - Constructor for class adams.flow.transformer.wekaclusterer.AbstractClustererPostProcessor

AbstractClusterMembershipPostProcessor - Class in adams.flow.transformer.wekaclusterer

Ancestor for post-processors that require a built clusterer and the dataset that was used to build the clusterer to be present in the model container.

AbstractClusterMembershipPostProcessor() - Constructor for class adams.flow.transformer.wekaclusterer.AbstractClusterMembershipPostProcessor

AbstractColumnFinder - Class in adams.data.weka.columnfinder

Ancestor for classes that find columns of interest in datasets.

AbstractColumnFinder() - Constructor for class adams.data.weka.columnfinder.AbstractColumnFinder

AbstractColumnFinderApplier - Class in weka.filters.unsupervised.attribute

Ancestor for filters that apply ColumnFinder schemes to the data.

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

AbstractColumnFinderWithCapabilities - Class in adams.data.weka.columnfinder

Ancestor for classes that find columns of interest in datasets.

AbstractColumnFinderWithCapabilities() - Constructor for class adams.data.weka.columnfinder.AbstractColumnFinderWithCapabilities

AbstractCommunicationProcessor - Class in adams.data.wekapyroproxy

Ancestor for classes processing the communication to/fro Pyro proxy models.

AbstractCommunicationProcessor() - Constructor for class adams.data.wekapyroproxy.AbstractCommunicationProcessor

AbstractCrossvalidatedInstanceEvaluator<T extends AbstractCrossvalidatedInstanceEvaluator.EvaluationContainer> - Class in adams.data.weka.evaluator

Ancestor for evalutors that use cross-validation for initialization.

AbstractCrossvalidatedInstanceEvaluator() - Constructor for class adams.data.weka.evaluator.AbstractCrossvalidatedInstanceEvaluator

AbstractCrossvalidatedInstanceEvaluator.EvaluationContainer - Class in adams.data.weka.evaluator

Container for storing the evaluation results.

AbstractDataContainer - Class in adams.gui.tools.wekainvestigator.data

Ancestor for data containers.

AbstractDataContainer() - Constructor for class adams.gui.tools.wekainvestigator.data.AbstractDataContainer

Initializes the container with no data.

AbstractDataContainer(Instances) - Constructor for class adams.gui.tools.wekainvestigator.data.AbstractDataContainer

Initializes the container with just the data.

AbstractDataPreparation - Class in weka.classifiers.meta.socketfacade

Ancestor for classes that prepare data for the SocketFacade classifier.

AbstractDataPreparation() - Constructor for class weka.classifiers.meta.socketfacade.AbstractDataPreparation

AbstractDatasetInstanceEvaluator - Class in adams.data.weka.evaluator

Ancestor for evaluators that need a data set for initialization.

AbstractDatasetInstanceEvaluator() - Constructor for class adams.data.weka.evaluator.AbstractDatasetInstanceEvaluator

AbstractDetrend - Class in weka.filters.unsupervised.attribute.detrend

Ancestor for schemes that perform detrend.

AbstractDetrend() - Constructor for class weka.filters.unsupervised.attribute.detrend.AbstractDetrend

AbstractEditableDataTableAction - Class in adams.gui.tools.wekainvestigator.datatable.action

Ancestor for actions on the data displayed on a tab using a AbstractInvestigatorTabWithEditableDataTable.

AbstractEditableDataTableAction() - Constructor for class adams.gui.tools.wekainvestigator.datatable.action.AbstractEditableDataTableAction

AbstractErrorScaler - Class in adams.data.weka.predictions

Ancestor for classes that scale predictions.

AbstractErrorScaler() - Constructor for class adams.data.weka.predictions.AbstractErrorScaler

AbstractEvaluation<T extends AbstractInvestigatorTab,R extends AbstractResultItem> - Class in adams.gui.tools.wekainvestigator.evaluation

Ancestor for evaluation setups.

AbstractEvaluation() - Constructor for class adams.gui.tools.wekainvestigator.evaluation.AbstractEvaluation

Constructor.

AbstractExperiment - Class in adams.gui.tools.wekamultiexperimenter.experiment

Ancestor for simple experiments.

AbstractExperiment() - Constructor for class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment

AbstractExperiment.AbstractExperimentJob<T extends AbstractExperiment> - Class in adams.gui.tools.wekamultiexperimenter.experiment

For evaluating a single classifier/dataset combination.

AbstractExperimenterPanel - Class in adams.gui.tools.wekamultiexperimenter

Ancestor for panels in the experimenter.

AbstractExperimenterPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.AbstractExperimenterPanel

AbstractExperimentIO<T> - Class in adams.gui.tools.wekamultiexperimenter.io

Ancestor for classes that handle loading/saving of experiments.

AbstractExperimentIO() - Constructor for class adams.gui.tools.wekamultiexperimenter.io.AbstractExperimentIO

AbstractExperimentJob(T, int, Classifier, Instances) - Constructor for class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment.AbstractExperimentJob

Initializes the run.

AbstractExperimentRunner<T> - Class in adams.gui.tools.wekamultiexperimenter.runner

Ancestor for classes that handle running a copy of the experiment in a separate thread.

AbstractExperimentRunner(ExperimenterPanel) - Constructor for class adams.gui.tools.wekamultiexperimenter.runner.AbstractExperimentRunner

Initializes the thread.

AbstractExperimentSetup - Class in adams.gui.tools.wekainvestigator.tab.experimenttab.setup

Ancestor for experiment setups.

AbstractExperimentSetup() - Constructor for class adams.gui.tools.wekainvestigator.tab.experimenttab.setup.AbstractExperimentSetup

AbstractExplorerPanelHandler - Class in weka.gui.explorer

Ancestor for handlers for specific Explorer panels.

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

AbstractFilteredColumnFinder - Class in adams.data.weka.columnfinder

Ancestor for column finders that pre-filter the columns.

AbstractFilteredColumnFinder() - Constructor for class adams.data.weka.columnfinder.AbstractFilteredColumnFinder

AbstractFilteredRowFinder - Class in adams.data.weka.rowfinder

Ancestor for row finders that pre-filter the rows.

AbstractFilteredRowFinder() - Constructor for class adams.data.weka.rowfinder.AbstractFilteredRowFinder

AbstractFinalModelGenerator - Class in adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.finalmodel

.

AbstractFinalModelGenerator() - Constructor for class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.finalmodel.AbstractFinalModelGenerator

AbstractGeneticAlgorithm - Class in adams.opt.optimise.genetic

Base class for genetic algorithms.

AbstractGeneticAlgorithm() - Constructor for class adams.opt.optimise.genetic.AbstractGeneticAlgorithm

AbstractGeneticDoubleMatrixDiscoveryHandler - Class in adams.core.discovery.genetic

Ancestor for genetic discovery handlers that handle matrix properties.

AbstractGeneticDoubleMatrixDiscoveryHandler() - Constructor for class adams.core.discovery.genetic.AbstractGeneticDoubleMatrixDiscoveryHandler

AbstractHashableInstance - Class in weka.core

Ancestor for instance classes that wraps around any WEKA Instance and allow them to be used in data structures that make use of on object's hash, like maps or hashtables.

AbstractHashableInstance(Instance) - Constructor for class weka.core.AbstractHashableInstance

Initializes the wrapper.

AbstractHistoryPopupMenuItem<H extends adams.gui.core.AbstractNamedHistoryPanel,T extends AbstractInvestigatorTab> - Class in adams.gui.tools.wekainvestigator.history

Ancestor for classes that add menu items to the history popup menu.

AbstractHistoryPopupMenuItem - Class in adams.gui.tools.wekainvestigator.tab.associatetab.history

Ancestor for classes that add menu items to the history popup menu.

AbstractHistoryPopupMenuItem - Class in adams.gui.tools.wekainvestigator.tab.attseltab.history

Ancestor for classes that add menu items to the history popup menu.

AbstractHistoryPopupMenuItem - Class in adams.gui.tools.wekainvestigator.tab.classifytab.history

Ancestor for classes that add menu items to the history popup menu.

AbstractHistoryPopupMenuItem - Class in adams.gui.tools.wekainvestigator.tab.clustertab.history

Ancestor for classes that add menu items to the history popup menu.

AbstractHistoryPopupMenuItem() - Constructor for class adams.gui.tools.wekainvestigator.history.AbstractHistoryPopupMenuItem

AbstractHistoryPopupMenuItem() - Constructor for class adams.gui.tools.wekainvestigator.tab.associatetab.history.AbstractHistoryPopupMenuItem

AbstractHistoryPopupMenuItem() - Constructor for class adams.gui.tools.wekainvestigator.tab.attseltab.history.AbstractHistoryPopupMenuItem

AbstractHistoryPopupMenuItem() - Constructor for class adams.gui.tools.wekainvestigator.tab.classifytab.history.AbstractHistoryPopupMenuItem

AbstractHistoryPopupMenuItem() - Constructor for class adams.gui.tools.wekainvestigator.tab.clustertab.history.AbstractHistoryPopupMenuItem

AbstractInstanceEvaluator - Class in adams.data.weka.evaluator

Ancestor for evaluators that evaluate weka.core.Instance objects.

AbstractInstanceEvaluator() - Constructor for class adams.data.weka.evaluator.AbstractInstanceEvaluator

AbstractInstanceGenerator<T extends adams.data.container.DataContainer & adams.data.report.ReportHandler> - Class in adams.data.instances

Abstract base class for schemes that turn temperature profiles into weka.core.Instance objects.

AbstractInstanceGenerator<T extends adams.data.container.DataContainer> - Class in adams.flow.transformer

Ancestor for transformers that turn data containers into WEKA Instance objects.

AbstractInstanceGenerator() - Constructor for class adams.data.instances.AbstractInstanceGenerator

AbstractInstanceGenerator() - Constructor for class adams.flow.transformer.AbstractInstanceGenerator

AbstractInstanceInfoFrame - Class in adams.gui.visualization.weka

Ancestor for frames for displaying information on the displayed data, with some more domain-specific functionality.

AbstractInstanceInfoFrame() - Constructor for class adams.gui.visualization.weka.AbstractInstanceInfoFrame

AbstractInstancePaintlet - Class in adams.gui.visualization.instance

Ancestor for Instance paintlets.

AbstractInstancePaintlet() - Constructor for class adams.gui.visualization.instance.AbstractInstancePaintlet

AbstractInstancePanelUpdater - Class in adams.gui.visualization.instance

Ancestor for classes that determine when to update the instance panel, i.e., repaint all of it.

AbstractInstancePanelUpdater() - Constructor for class adams.gui.visualization.instance.AbstractInstancePanelUpdater

AbstractInstancesAnalysis - Class in adams.data.instancesanalysis

Ancestor for data analysis classes.

AbstractInstancesAnalysis() - Constructor for class adams.data.instancesanalysis.AbstractInstancesAnalysis

AbstractInstancesIndexedSplitsRunsGenerator - Class in adams.flow.transformer.indexedsplitsrunsgenerator

Ancestor for generators that process Instances objects.

AbstractInstancesIndexedSplitsRunsGenerator() - Constructor for class adams.flow.transformer.indexedsplitsrunsgenerator.AbstractInstancesIndexedSplitsRunsGenerator

AbstractInvestigatorTab - Class in adams.gui.tools.wekainvestigator.tab

Ancestor for tabs in the Investigator.

AbstractInvestigatorTab() - Constructor for class adams.gui.tools.wekainvestigator.tab.AbstractInvestigatorTab

AbstractInvestigatorTab.SerializationOption - Enum in adams.gui.tools.wekainvestigator.tab

options for serialization.

AbstractInvestigatorTabWithDataTable - Class in adams.gui.tools.wekainvestigator.tab

Ancestor for tabs that have the data table on top.

AbstractInvestigatorTabWithDataTable() - Constructor for class adams.gui.tools.wekainvestigator.tab.AbstractInvestigatorTabWithDataTable

AbstractInvestigatorTabWithEditableDataTable - Class in adams.gui.tools.wekainvestigator.tab

Ancestor for tabs with modifiable data table.

AbstractInvestigatorTabWithEditableDataTable() - Constructor for class adams.gui.tools.wekainvestigator.tab.AbstractInvestigatorTabWithEditableDataTable

AbstractLinearRegressionBased<T extends adams.data.container.DataContainer> - Class in adams.data.baseline

Abstract ancestor for linear regression based baseline correction schemes.

AbstractLinearRegressionBased() - Constructor for class adams.data.baseline.AbstractLinearRegressionBased

AbstractMatchWekaInstanceAgainstHeader - Class in adams.data.conversion

Ancestor for classes that match Instance objects against Instances headers.

AbstractMatchWekaInstanceAgainstHeader() - Constructor for class adams.data.conversion.AbstractMatchWekaInstanceAgainstHeader

AbstractMerge - Class in adams.flow.transformer.wekadatasetsmerge

AbstractMerge() - Constructor for class adams.flow.transformer.wekadatasetsmerge.AbstractMerge

AbstractMerge.SourceAttribute - Class in adams.flow.transformer.wekadatasetsmerge

Helper class for determining the mapping from input attributes in the source datasets to output attributes in the merged dataset.

AbstractMultiClassPLS - Class in adams.data.instancesanalysis.pls

Ancestor for schemes that predict multiple classes.

AbstractMultiClassPLS() - Constructor for class adams.data.instancesanalysis.pls.AbstractMultiClassPLS

AbstractMultiplicativeScatterCorrection - Class in weka.filters.unsupervised.attribute.multiplicativescattercorrection

Ancestor for correction schemes.

AbstractMultiplicativeScatterCorrection() - Constructor for class weka.filters.unsupervised.attribute.multiplicativescattercorrection.AbstractMultiplicativeScatterCorrection

AbstractMultiRowProcessorPlugin - Class in weka.filters.unsupervised.instance.multirowprocessor

Ancestor for MultiRowProcessor plugins.

AbstractMultiRowProcessorPlugin() - Constructor for class weka.filters.unsupervised.instance.multirowprocessor.AbstractMultiRowProcessorPlugin

AbstractNestableResultItem - Class in adams.gui.tools.wekainvestigator.output

Container for a data to be stored in result history that can also store nested result items.

AbstractNestableResultItem(Instances) - Constructor for class adams.gui.tools.wekainvestigator.output.AbstractNestableResultItem

Initializes the item.

AbstractNumericClassPostProcessor - Class in adams.flow.transformer.wekaevaluationpostprocessor

Ancestor for numeric class post-processors.

AbstractNumericClassPostProcessor() - Constructor for class adams.flow.transformer.wekaevaluationpostprocessor.AbstractNumericClassPostProcessor

AbstractOutputGenerator<T extends AbstractResultItem> - Class in adams.gui.tools.wekainvestigator.output

Ancestor for output generators.

AbstractOutputGenerator - Class in adams.gui.tools.wekainvestigator.tab.associatetab.output

Ancestor for output generators using t.

AbstractOutputGenerator - Class in adams.gui.tools.wekainvestigator.tab.attseltab.output

Ancestor for output generators using t.

AbstractOutputGenerator - Class in adams.gui.tools.wekainvestigator.tab.classifytab.output

Ancestor for output generators using the data from the per-fold pane.

AbstractOutputGenerator - Class in adams.gui.tools.wekainvestigator.tab.clustertab.output

Ancestor for output generators using t.

AbstractOutputGenerator - Class in adams.gui.tools.wekainvestigator.tab.experimenttab.output

Ancestor for output generators using the data from the per-fold pane.

AbstractOutputGenerator() - Constructor for class adams.gui.tools.wekainvestigator.output.AbstractOutputGenerator

AbstractOutputGenerator() - Constructor for class adams.gui.tools.wekainvestigator.tab.associatetab.output.AbstractOutputGenerator

AbstractOutputGenerator() - Constructor for class adams.gui.tools.wekainvestigator.tab.attseltab.output.AbstractOutputGenerator

AbstractOutputGenerator() - Constructor for class adams.gui.tools.wekainvestigator.tab.classifytab.output.AbstractOutputGenerator

AbstractOutputGenerator() - Constructor for class adams.gui.tools.wekainvestigator.tab.clustertab.output.AbstractOutputGenerator

AbstractOutputGenerator() - Constructor for class adams.gui.tools.wekainvestigator.tab.experimenttab.output.AbstractOutputGenerator

AbstractOutputGeneratorWithSeparateFoldsSupport<T extends JComponent> - Class in adams.gui.tools.wekainvestigator.tab.classifytab.output

Ancestor for output generators that can generate output for separate folds just using the Evaluation objects.

AbstractOutputGeneratorWithSeparateFoldsSupport() - Constructor for class adams.gui.tools.wekainvestigator.tab.classifytab.output.AbstractOutputGeneratorWithSeparateFoldsSupport

AbstractOutputPanel - Class in adams.gui.tools.wekamultiexperimenter.setup.weka

Ancestor for panels that allow the user to configure ResultListeners.

AbstractOutputPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.setup.weka.AbstractOutputPanel

AbstractOutputPanelWithPopupMenu<T extends adams.gui.chooser.BaseFileChooser> - Class in adams.gui.tools.wekainvestigator.output

Ancestor for output panels that can save the displayed output to a file.

AbstractOutputPanelWithPopupMenu() - Constructor for class adams.gui.tools.wekainvestigator.output.AbstractOutputPanelWithPopupMenu

AbstractPanelWithFile<T extends adams.gui.chooser.AbstractChooserPanel> - Class in adams.gui.tools.weka

Ancestor for panels that allow the user to select a file.

AbstractPanelWithFile() - Constructor for class adams.gui.tools.weka.AbstractPanelWithFile

AbstractParameterHandlingWekaMenuItemDefinition - Class in adams.gui.menu

Abstract menu item definition for Weka elements that also handle additional parameters.

AbstractParameterHandlingWekaMenuItemDefinition() - Constructor for class adams.gui.menu.AbstractParameterHandlingWekaMenuItemDefinition

Initializes the menu item with no owner.

AbstractParameterHandlingWekaMenuItemDefinition(AbstractApplicationFrame) - Constructor for class adams.gui.menu.AbstractParameterHandlingWekaMenuItemDefinition

Initializes the menu item.

AbstractPerFoldPopupMenuItem - Class in adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold

Ancestor for classes that add menu items to the per-fold popup menu.

AbstractPerFoldPopupMenuItem() - Constructor for class adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold.AbstractPerFoldPopupMenuItem

AbstractPlotColumn - Class in adams.gui.visualization.instances.instancestable

Ancestor for plugins that plot a column.

AbstractPlotColumn() - Constructor for class adams.gui.visualization.instances.instancestable.AbstractPlotColumn

AbstractPlotRow - Class in adams.gui.visualization.instances.instancestable

Ancestor for plugins that plot a row.

AbstractPlotRow() - Constructor for class adams.gui.visualization.instances.instancestable.AbstractPlotRow

AbstractPlotSelectedRows - Class in adams.gui.visualization.instances.instancestable

Ancestor for plugins that plot rows.

AbstractPlotSelectedRows() - Constructor for class adams.gui.visualization.instances.instancestable.AbstractPlotSelectedRows

AbstractPLS - Class in adams.data.instancesanalysis.pls

Ancestor for PLS implementations.

AbstractPLS() - Constructor for class adams.data.instancesanalysis.pls.AbstractPLS

AbstractPLSAttributeEval - Class in weka.attributeSelection

Ancestor for PLS attribute evaluators

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

AbstractPLSAttributeEval.LoadingsCalculations - Enum in weka.attributeSelection

AbstractProcessCell - Class in adams.gui.visualization.instances.instancestable

Ancestor for plugins that process a cell.

AbstractProcessCell() - Constructor for class adams.gui.visualization.instances.instancestable.AbstractProcessCell

AbstractProcessColumn - Class in adams.gui.visualization.instances.instancestable

Ancestor for plugins that process a column.

AbstractProcessColumn() - Constructor for class adams.gui.visualization.instances.instancestable.AbstractProcessColumn

AbstractProcessRow - Class in adams.gui.visualization.instances.instancestable

Ancestor for plugins that process a row.

AbstractProcessRow() - Constructor for class adams.gui.visualization.instances.instancestable.AbstractProcessRow

AbstractProcessSelectedRows - Class in adams.gui.visualization.instances.instancestable

Ancestor for plugins that process a row.

AbstractProcessSelectedRows() - Constructor for class adams.gui.visualization.instances.instancestable.AbstractProcessSelectedRows

AbstractProcessWekaInstanceWithModel<T> - Class in adams.flow.transformer

Ancestor for transformers that user models for processing Instance objects, e.g., classifiers making predictions.

AbstractProcessWekaInstanceWithModel() - Constructor for class adams.flow.transformer.AbstractProcessWekaInstanceWithModel

AbstractRangeBasedSelectionProcessor - Class in weka.filters.unsupervised.instance.multirowprocessor.processor

Ancestor for processors that work on a range of attributes.

AbstractRangeBasedSelectionProcessor() - Constructor for class weka.filters.unsupervised.instance.multirowprocessor.processor.AbstractRangeBasedSelectionProcessor

AbstractRelationNameHeuristic - Class in adams.data.weka.relationname

Ancestor for heuristics that determine the relation name for a dataset.

AbstractRelationNameHeuristic() - Constructor for class adams.data.weka.relationname.AbstractRelationNameHeuristic

AbstractResultItem - Class in adams.gui.tools.wekainvestigator.output

Container for a data to be stored in result history.

AbstractResultItem(Instances) - Constructor for class adams.gui.tools.wekainvestigator.output.AbstractResultItem

Initializes the item.

AbstractResultsHandler - Class in adams.gui.tools.wekamultiexperimenter.experiment

Ancestor for classes that store the results from an experiment run.

AbstractResultsHandler() - Constructor for class adams.gui.tools.wekamultiexperimenter.experiment.AbstractResultsHandler

AbstractResultsPanel - Class in adams.gui.tools.wekamultiexperimenter.analysis

Ancestor for displaying the results of an analysis.

AbstractResultsPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.analysis.AbstractResultsPanel

AbstractRowFinder - Class in adams.data.weka.rowfinder

Ancestor for classes that find rows of interest in datasets.

AbstractRowFinder() - Constructor for class adams.data.weka.rowfinder.AbstractRowFinder

AbstractRowFinderApplier - Class in weka.filters.unsupervised.instance

Ancestor for filters that apply RowFinder schemes to the data.

AbstractRowFinderApplier() - Constructor for class weka.filters.unsupervised.instance.AbstractRowFinderApplier

AbstractRowFinderWithCapabilities - Class in adams.data.weka.rowfinder

Ancestor for classes that find rows of interest in datasets.

AbstractRowFinderWithCapabilities() - Constructor for class adams.data.weka.rowfinder.AbstractRowFinderWithCapabilities

AbstractRowSelection - Class in weka.filters.unsupervised.instance.multirowprocessor.selection

Ancestor for row selection schemes.

AbstractRowSelection() - Constructor for class weka.filters.unsupervised.instance.multirowprocessor.selection.AbstractRowSelection

AbstractSelectedAttributesAction - Class in adams.gui.tools.wekainvestigator.tab.preprocesstab.attributeselaction

Ancestor for actions on ther checked attributes in the PreprocessTab.

AbstractSelectedAttributesAction() - Constructor for class adams.gui.tools.wekainvestigator.tab.preprocesstab.attributeselaction.AbstractSelectedAttributesAction

AbstractSelectionProcessor - Class in weka.filters.unsupervised.instance.multirowprocessor.processor

Ancestor for row selection processors.

AbstractSelectionProcessor() - Constructor for class weka.filters.unsupervised.instance.multirowprocessor.processor.AbstractSelectionProcessor

AbstractSetupOptionPanel - Class in adams.gui.tools.wekamultiexperimenter.setup

Ancestor for panels that get added to a AbstractSetupPanel.

AbstractSetupOptionPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.setup.AbstractSetupOptionPanel

AbstractSetupPanel<T> - Class in adams.gui.tools.wekamultiexperimenter.setup

Ancestor for setup panels.

AbstractSetupPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.setup.AbstractSetupPanel

AbstractSetupPanel.ModificationActionListener - Class in adams.gui.tools.wekamultiexperimenter.setup

Action listener that just sets the modified flag.

AbstractSetupPanel.ModificationChangeListener - Class in adams.gui.tools.wekamultiexperimenter.setup

Change listener that just sets the modified flag.

AbstractSetupPanel.ModificationDocumentListener - Class in adams.gui.tools.wekamultiexperimenter.setup

Document listener that just sets the modified flag.

AbstractSimpleClassifier - Class in weka.classifiers.simple

Ancestor for classifiers using ADAMS option handling.

AbstractSimpleClassifier() - Constructor for class weka.classifiers.simple.AbstractSimpleClassifier

AbstractSimpleOptionHandler - Class in weka.core

Ancestor for Weka classes that use the ADAMS option handling framework.

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

AbstractSimpleRegressionMeasure - Class in weka.classifiers.evaluation

Computes the mean error.

AbstractSimpleRegressionMeasure() - Constructor for class weka.classifiers.evaluation.AbstractSimpleRegressionMeasure

AbstractSingleClassPLS - Class in adams.data.instancesanalysis.pls

Ancestor for schemes that predict a single class.

AbstractSingleClassPLS() - Constructor for class adams.data.instancesanalysis.pls.AbstractSingleClassPLS

AbstractSource - Class in adams.gui.tools.wekainvestigator.source

Ancestor for additional "source" actions in the main menu.

AbstractSource() - Constructor for class adams.gui.tools.wekainvestigator.source.AbstractSource

AbstractSplitGenerator - Class in weka.classifiers

Ancestor for helper classes that generates dataset splits.

AbstractSplitGenerator() - Constructor for class weka.classifiers.AbstractSplitGenerator

Initializes the generator.

AbstractSplitter - Class in adams.data.weka.datasetsplitter

Parent class for different methods of splitting a dataset into smaller datasets.

AbstractSplitter() - Constructor for class adams.data.weka.datasetsplitter.AbstractSplitter

AbstractTokenCleaner - Class in weka.core.tokenizers.cleaners

Ancestor for cleaning tokens.

AbstractTokenCleaner() - Constructor for class weka.core.tokenizers.cleaners.AbstractTokenCleaner

AbstractTrainableColumnFinder - Class in adams.data.weka.columnfinder

Ancestor for ColumnFinder algorithms that can be trained.

AbstractTrainableColumnFinder() - Constructor for class adams.data.weka.columnfinder.AbstractTrainableColumnFinder

AbstractTrainableRowFinder - Class in adams.data.weka.rowfinder

Ancestor for RowFinder algorithms that can be trained.

AbstractTrainableRowFinder() - Constructor for class adams.data.weka.rowfinder.AbstractTrainableRowFinder

AbstractWekaClassifierEvaluator - Class in adams.flow.transformer

Ancestor for transformers that evaluate classifiers.

AbstractWekaClassifierEvaluator() - Constructor for class adams.flow.transformer.AbstractWekaClassifierEvaluator

AbstractWekaEnsembleGenerator - Class in adams.flow.transformer.wekaensemblegenerator

Ancestor for schemes that generate ensembles.

AbstractWekaEnsembleGenerator() - Constructor for class adams.flow.transformer.wekaensemblegenerator.AbstractWekaEnsembleGenerator

AbstractWekaEvaluationPostProcessor - Class in adams.flow.transformer.wekaevaluationpostprocessor

Ancestor for classes that post-process Evaluation objects.

AbstractWekaEvaluationPostProcessor() - Constructor for class adams.flow.transformer.wekaevaluationpostprocessor.AbstractWekaEvaluationPostProcessor

AbstractWekaExperimentIO<T extends weka.experiment.Experiment> - Class in adams.gui.tools.wekamultiexperimenter.io

Ancestor for classes that handle loading/saving of experiments.

AbstractWekaExperimentIO() - Constructor for class adams.gui.tools.wekamultiexperimenter.io.AbstractWekaExperimentIO

AbstractWekaExperimentRunner<T extends weka.experiment.Experiment> - Class in adams.gui.tools.wekamultiexperimenter.runner

Ancestor for classes that handle running a copy of the experiment in a separate thread.

AbstractWekaExperimentRunner(ExperimenterPanel) - Constructor for class adams.gui.tools.wekamultiexperimenter.runner.AbstractWekaExperimentRunner

Initializes the thread.

AbstractWEKAFitnessFunction - Class in adams.opt.optimise.genetic.fitnessfunctions

Perform attribute selection using WEKA classification.

AbstractWEKAFitnessFunction() - Constructor for class adams.opt.optimise.genetic.fitnessfunctions.AbstractWEKAFitnessFunction

AbstractWEKAFitnessFunction.Measure - Enum in adams.opt.optimise.genetic.fitnessfunctions

The measure to use for evaluating.

AbstractWekaMenuItemDefinition - Class in adams.gui.menu

Abstract menu item menu item definitions for Weka elements.

AbstractWekaMenuItemDefinition() - Constructor for class adams.gui.menu.AbstractWekaMenuItemDefinition

Initializes the menu item with no owner.

AbstractWekaMenuItemDefinition(AbstractApplicationFrame) - Constructor for class adams.gui.menu.AbstractWekaMenuItemDefinition

Initializes the menu item.

AbstractWekaModelReader - Class in adams.flow.transformer

Ancestor for actors that deserialize models.

AbstractWekaModelReader() - Constructor for class adams.flow.transformer.AbstractWekaModelReader

AbstractWekaModelWriter - Class in adams.flow.sink

Ancestor for actors that serialize models.

AbstractWekaModelWriter() - Constructor for class adams.flow.sink.AbstractWekaModelWriter

AbstractWekaPackageManagerAction - Class in adams.flow.source.wekapackagemanageraction

Ancestor for package manager actions.

AbstractWekaPackageManagerAction - Class in adams.flow.standalone.wekapackagemanageraction

Ancestor for package manager actions.

AbstractWekaPackageManagerAction - Class in adams.flow.transformer.wekapackagemanageraction

Ancestor for package manager actions.

AbstractWekaPackageManagerAction() - Constructor for class adams.flow.source.wekapackagemanageraction.AbstractWekaPackageManagerAction

AbstractWekaPackageManagerAction() - Constructor for class adams.flow.standalone.wekapackagemanageraction.AbstractWekaPackageManagerAction

AbstractWekaPackageManagerAction() - Constructor for class adams.flow.transformer.wekapackagemanageraction.AbstractWekaPackageManagerAction

AbstractWekaPredictionsTransformer - Class in adams.flow.transformer

Ancestor for transformers that convert the predictions stored in an Evaluation object into a different format.

AbstractWekaPredictionsTransformer() - Constructor for class adams.flow.transformer.AbstractWekaPredictionsTransformer

AbstractWekaRepeatedCrossValidationOutput<T> - Class in adams.flow.transformer.wekarepeatedcrossvalidationoutput

Ancestor for classes that generate output from repeated cross-validations.

AbstractWekaRepeatedCrossValidationOutput() - Constructor for class adams.flow.transformer.wekarepeatedcrossvalidationoutput.AbstractWekaRepeatedCrossValidationOutput

AbstractWekaSetupGenerator<T> - Class in adams.flow.source

Abstract ancestor for setup generator sources.

AbstractWekaSetupGenerator() - Constructor for class adams.flow.source.AbstractWekaSetupGenerator

AbstractWekaSetupPanel - Class in adams.gui.tools.wekamultiexperimenter.setup

Ancestor for setup panels for Weka experiments.

AbstractWekaSetupPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.setup.AbstractWekaSetupPanel

AbstractWekaSpreadSheetReader - Class in adams.data.io.input

Ancestor for WEKA file format readers.

AbstractWekaSpreadSheetReader() - Constructor for class adams.data.io.input.AbstractWekaSpreadSheetReader

AbstractWekaSpreadSheetWriter - Class in adams.data.io.output

Ancestor for WEKA file format readers.

AbstractWekaSpreadSheetWriter() - Constructor for class adams.data.io.output.AbstractWekaSpreadSheetWriter

ACC - adams.flow.transformer.WekaClassifierRanker.Measure

evaluation via: Accuracy.

ACC - adams.opt.genetic.Measure

Accuracy.

ACC - adams.opt.optimise.genetic.fitnessfunctions.AbstractWEKAFitnessFunction.Measure

evaluation via: Accuracy.

accepts() - Method in class adams.data.conversion.AbstractMatchWekaInstanceAgainstHeader

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.AdamsInstanceToWekaInstance

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.MapToWekaInstance

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.ReportToWekaInstance

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.SpreadSheetToWekaInstances

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.WekaCapabilitiesToInstances

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.WekaCapabilitiesToSpreadSheet

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.WekaDrawableToString

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.WekaEvaluationToCostCurve

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.WekaEvaluationToMarginCurve

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.WekaEvaluationToThresholdCurve

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.WekaInstancesToSpreadSheet

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.WekaInstanceToAdamsInstance

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.WekaInstanceToMap

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.WekaPackageToMap

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.WekaPredictionContainerToSpreadSheet

Returns the class that is accepted as input.

accepts() - Method in class adams.flow.condition.bool.AbstractAttributeCapabilities

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.condition.bool.AdamsInstanceCapabilities

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.condition.bool.WekaCapabilities

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.condition.bool.WekaClassification

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.AbstractWekaModelWriter

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.WekaAttributeSummary

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.WekaClassifierErrors

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.WekaCostBenefitAnalysis

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.WekaCostCurve

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.WekaDatabaseWriter

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.WekaExperimentFileWriter

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.WekaExperimentGenerator

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.WekaFileWriter

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.WekaGraphVisualizer

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.WekaInstancesDisplay

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.WekaInstancesPlot

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.WekaInstanceViewer

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.WekaMarginCurve

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.WekaThresholdCurve

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.sink.WekaTreeVisualizer

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.AbstractInstanceGenerator

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.AbstractProcessWekaInstanceWithModel

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.AbstractWekaModelReader

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.AbstractWekaPredictionsTransformer

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.indexedsplitsrunsevaluation.InstancesIndexedSplitsRunsEvaluation

The accepted classes.

accepts() - Method in class adams.flow.transformer.indexedsplitsrunsgenerator.AbstractInstancesIndexedSplitsRunsGenerator

Returns the type of classes that are accepted as input.

accepts() - Method in class adams.flow.transformer.indexedsplitsrunspredictions.InstancesIndexedSplitsRunsPredictions

The accepted classes.

accepts() - Method in class adams.flow.transformer.WekaAccumulatedError

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaAggregateEvaluations

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaAttributeIterator

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaAttributeSelection

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaAttributeSelectionSummary

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaBootstrapping

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaChooseAttributes

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaClassifierInfo

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaClassifierOptimizer

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaClassifierRanker

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaClassifierSetupProcessor

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaClassSelector

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaClusterAssignments

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaClustererInfo

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaClustererPostProcessor

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaClusterEvaluationSummary

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaCrossValidationClustererEvaluator

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaCrossValidationEvaluator

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaCrossValidationSplit

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaDatasetsMerge

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaDatasetSplit

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.wekaensemblegenerator.AbstractWekaEnsembleGenerator

Returns the input data the generator processes.

accepts() - Method in class adams.flow.transformer.WekaEnsembleGenerator

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.wekaensemblegenerator.MultiClassifiersCombinerModels

Returns the input data the generator processes.

accepts() - Method in class adams.flow.transformer.wekaensemblegenerator.VotedModels

Returns the input data the generator processes.

accepts() - Method in class adams.flow.transformer.WekaEvaluationInfo

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaEvaluationPostProcessor

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaEvaluationSummary

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaEvaluationValuePicker

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaEvaluationValues

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaExperiment

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaExperimentEvaluation

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaExperimentExecution

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaExperimentFileReader

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaExtractArray

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaExtractPLSMatrix

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaFileReader

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaFilter

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaGenericPLSMatrixAccess

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaGeneticAlgorithm

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaGeneticAlgorithmInitializer

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaGetCapabilities

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaGetInstancesValue

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaGetInstanceValue

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaInstanceBuffer

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaInstanceDumper

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaInstanceEvaluator

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaInstancesAppend

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaInstancesHistogramRanges

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaInstancesInfo

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaInstancesMerge

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaInstancesStatistic

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaInstanceStreamPlotGenerator

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaMultiLabelSplitter

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaNearestNeighborSearch

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaNewInstance

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.wekapackagemanageraction.AbstractWekaPackageManagerAction

The types of data the action accepts.

accepts() - Method in class adams.flow.transformer.WekaPackageManagerAction

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.wekapackagemanageraction.InstallFromFile

The types of data the action accepts.

accepts() - Method in class adams.flow.transformer.wekapackagemanageraction.InstallFromURL

The types of data the action accepts.

accepts() - Method in class adams.flow.transformer.wekapackagemanageraction.InstallOfficial

The types of data the action accepts.

accepts() - Method in class adams.flow.transformer.wekapackagemanageraction.InstallPackage

The types of data the action accepts.

accepts() - Method in class adams.flow.transformer.wekapackagemanageraction.Uninstall

The types of data the action accepts.

accepts() - Method in class adams.flow.transformer.WekaPrincipalComponents

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaRandomSplit

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaRegexToRange

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaRelationName

Deprecated.

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaRenameRelation

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaReorderAttributesToReference

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaRepeatedCrossValidationEvaluator

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaRepeatedCrossValidationOutput

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaSetInstancesValue

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaSetInstanceValue

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaSplitGenerator

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaSpreadSheetToPredictions

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaStoreInstance

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaStreamEvaluator

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaStreamFilter

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaSubsets

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaTestSetClustererEvaluator

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaTestSetEvaluator

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaTextDirectoryReader

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaTrainAssociator

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaTrainClassifier

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaTrainClusterer

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaTrainTestSetClustererEvaluator

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.WekaTrainTestSetEvaluator

Returns the class that the consumer accepts.

acceptSelection() - Method in class adams.gui.visualization.instance.LoadDatasetDialog

Generates the indices.

AccessibleGenericObjectEditor() - Constructor for class adams.gui.goe.WekaEditorsRegistration.AccessibleGenericObjectEditor

AccessiblePluginManager() - Constructor for class adams.gui.goe.WekaEditorsRegistration.AccessiblePluginManager

AccumulatedLWLWeights - Class in weka.filters.unsupervised.instance

Generates an LWL-like dataset for each instance of the data from the first batch and accumulate these weights.

AccumulatedLWLWeights() - Constructor for class weka.filters.unsupervised.instance.AccumulatedLWLWeights

actCol - Variable in class adams.gui.visualization.instances.instancestable.InstancesTablePopupMenuItemHelper.TableState

the actual column.

actionPerformed(ActionEvent) - Method in class adams.gui.goe.WekaGenericObjectEditorDialog

Gets called when the one of the buttons in the GOE panel gets pressed.

actionPerformed(ActionEvent) - Method in class adams.gui.tools.wekamultiexperimenter.setup.AbstractSetupPanel.ModificationActionListener

actionTipText() - Method in class adams.flow.source.WekaPackageManagerAction

Returns the tip text for this property.

actionTipText() - Method in class adams.flow.standalone.WekaPackageManagerAction

Returns the tip text for this property.

actionTipText() - Method in class adams.flow.transformer.WekaPackageManagerAction

Returns the tip text for this property.

activate() - Method in class adams.gui.application.WekaExperimenterPreferencesPanel

Activates the settings.

activate() - Method in class adams.gui.application.WekaExplorerPreferencesPanel

Activates the settings.

activate() - Method in class adams.gui.application.WekaInvestigatorPreferencesPanel

Activates the settings.

activate(int) - Method in class adams.gui.tools.wekainvestigator.evaluation.AbstractEvaluation

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.AbstractInvestigatorTabWithDataTable

Activates the selected dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.associatetab.evaluation.Train

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.attseltab.evaluation.CrossValidation

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.attseltab.evaluation.Train

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.BuildModel

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.CrossValidation

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.FromPredictions

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.IndexedSplitsRunsEvaluation

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.ReevaluateModel

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.RepeatedCrossValidation

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.TrainTestSet

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.TrainTestSplit

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.TrainValidateTestSet

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.BuildModel

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.ClassesToClusters

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.CrossValidation

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.ReevaluateModel

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.TrainTestSet

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.TrainTestSplit

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.experimenttab.setup.CrossValidationSetup

Activates the specified dataset.

activate(int) - Method in class adams.gui.tools.wekainvestigator.tab.experimenttab.setup.TrainTestSplitSetup

Activates the specified dataset.

actRow - Variable in class adams.gui.visualization.instances.instancestable.InstancesTablePopupMenuItemHelper.TableState

the actual row.

actRows - Variable in class adams.gui.visualization.instances.instancestable.InstancesTablePopupMenuItemHelper.TableState

the actual rows.

ACTUAL_MINUS_PREDICTED - adams.flow.transformer.WekaBootstrapping.ErrorCalculation

actualMaxTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ClassifierErrors

Returns the tip text for this property.

actualMinTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ClassifierErrors

Returns the tip text for this property.

actualTipText() - Method in class adams.flow.transformer.WekaSpreadSheetToPredictions

Returns the tip text for this property.

actualTipText() - Method in class weka.classifiers.functions.FromPredictions

Returns the tip text for this property.

ADAMS_FILE_EXTENSION - Static variable in class adams.gui.menu.MakeCompatibleDatasets

ADAMS_READER - Static variable in class adams.gui.menu.MakeCompatibleDatasets

adams.core.base - package adams.core.base

adams.core.discovery.genetic - package adams.core.discovery.genetic

adams.core.management - package adams.core.management

adams.core.option - package adams.core.option

adams.core.option.parsing - package adams.core.option.parsing

adams.data - package adams.data

adams.data.baseline - package adams.data.baseline

adams.data.binning - package adams.data.binning

adams.data.conversion - package adams.data.conversion

adams.data.featureconverter - package adams.data.featureconverter

adams.data.indexedsplits - package adams.data.indexedsplits

adams.data.instance - package adams.data.instance

adams.data.instances - package adams.data.instances

adams.data.instancesanalysis - package adams.data.instancesanalysis

adams.data.instancesanalysis.pls - package adams.data.instancesanalysis.pls

adams.data.io.input - package adams.data.io.input

adams.data.io.output - package adams.data.io.output

adams.data.spreadsheet.filter - package adams.data.spreadsheet.filter

adams.data.weka - package adams.data.weka

adams.data.weka.classattribute - package adams.data.weka.classattribute

adams.data.weka.columnfinder - package adams.data.weka.columnfinder

adams.data.weka.datasetsplitter - package adams.data.weka.datasetsplitter

adams.data.weka.evaluator - package adams.data.weka.evaluator

adams.data.weka.predictions - package adams.data.weka.predictions

adams.data.weka.relationname - package adams.data.weka.relationname

adams.data.weka.rowfinder - package adams.data.weka.rowfinder

adams.data.wekapyroproxy - package adams.data.wekapyroproxy

adams.env - package adams.env

adams.flow.condition.bool - package adams.flow.condition.bool

adams.flow.container - package adams.flow.container

adams.flow.core - package adams.flow.core

adams.flow.sink - package adams.flow.sink

adams.flow.source - package adams.flow.source

adams.flow.source.valuedefinition - package adams.flow.source.valuedefinition

adams.flow.source.wekapackagemanageraction - package adams.flow.source.wekapackagemanageraction

adams.flow.standalone - package adams.flow.standalone

adams.flow.standalone.wekapackagemanageraction - package adams.flow.standalone.wekapackagemanageraction

adams.flow.template - package adams.flow.template

adams.flow.transformer - package adams.flow.transformer

adams.flow.transformer.indexedsplitsrunsevaluation - package adams.flow.transformer.indexedsplitsrunsevaluation

adams.flow.transformer.indexedsplitsrunsgenerator - package adams.flow.transformer.indexedsplitsrunsgenerator

adams.flow.transformer.indexedsplitsrunspredictions - package adams.flow.transformer.indexedsplitsrunspredictions

adams.flow.transformer.wekaclassifiersetupprocessor - package adams.flow.transformer.wekaclassifiersetupprocessor

adams.flow.transformer.wekaclusterer - package adams.flow.transformer.wekaclusterer

adams.flow.transformer.wekadatasetsmerge - package adams.flow.transformer.wekadatasetsmerge

adams.flow.transformer.wekaensemblegenerator - package adams.flow.transformer.wekaensemblegenerator

adams.flow.transformer.wekaevaluationpostprocessor - package adams.flow.transformer.wekaevaluationpostprocessor

adams.flow.transformer.wekapackagemanageraction - package adams.flow.transformer.wekapackagemanageraction

adams.flow.transformer.wekarepeatedcrossvalidationoutput - package adams.flow.transformer.wekarepeatedcrossvalidationoutput

adams.gui - package adams.gui

adams.gui.application - package adams.gui.application

adams.gui.chooser - package adams.gui.chooser

adams.gui.event - package adams.gui.event

adams.gui.flow.tree.quickaction - package adams.gui.flow.tree.quickaction

adams.gui.goe - package adams.gui.goe

adams.gui.goe.popupmenu - package adams.gui.goe.popupmenu

adams.gui.help - package adams.gui.help

adams.gui.menu - package adams.gui.menu

adams.gui.tools - package adams.gui.tools

adams.gui.tools.previewbrowser - package adams.gui.tools.previewbrowser

adams.gui.tools.weka - package adams.gui.tools.weka

adams.gui.tools.wekainvestigator - package adams.gui.tools.wekainvestigator

adams.gui.tools.wekainvestigator.data - package adams.gui.tools.wekainvestigator.data

adams.gui.tools.wekainvestigator.datatable - package adams.gui.tools.wekainvestigator.datatable

adams.gui.tools.wekainvestigator.datatable.action - package adams.gui.tools.wekainvestigator.datatable.action

adams.gui.tools.wekainvestigator.evaluation - package adams.gui.tools.wekainvestigator.evaluation

adams.gui.tools.wekainvestigator.history - package adams.gui.tools.wekainvestigator.history

adams.gui.tools.wekainvestigator.job - package adams.gui.tools.wekainvestigator.job

adams.gui.tools.wekainvestigator.output - package adams.gui.tools.wekainvestigator.output

adams.gui.tools.wekainvestigator.source - package adams.gui.tools.wekainvestigator.source

adams.gui.tools.wekainvestigator.tab - package adams.gui.tools.wekainvestigator.tab

adams.gui.tools.wekainvestigator.tab.associatetab - package adams.gui.tools.wekainvestigator.tab.associatetab

adams.gui.tools.wekainvestigator.tab.associatetab.evaluation - package adams.gui.tools.wekainvestigator.tab.associatetab.evaluation

adams.gui.tools.wekainvestigator.tab.associatetab.history - package adams.gui.tools.wekainvestigator.tab.associatetab.history

adams.gui.tools.wekainvestigator.tab.associatetab.output - package adams.gui.tools.wekainvestigator.tab.associatetab.output

adams.gui.tools.wekainvestigator.tab.attseltab - package adams.gui.tools.wekainvestigator.tab.attseltab

adams.gui.tools.wekainvestigator.tab.attseltab.evaluation - package adams.gui.tools.wekainvestigator.tab.attseltab.evaluation

adams.gui.tools.wekainvestigator.tab.attseltab.history - package adams.gui.tools.wekainvestigator.tab.attseltab.history

adams.gui.tools.wekainvestigator.tab.attseltab.output - package adams.gui.tools.wekainvestigator.tab.attseltab.output

adams.gui.tools.wekainvestigator.tab.classifytab - package adams.gui.tools.wekainvestigator.tab.classifytab

adams.gui.tools.wekainvestigator.tab.classifytab.evaluation - package adams.gui.tools.wekainvestigator.tab.classifytab.evaluation

adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.finalmodel - package adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.finalmodel

adams.gui.tools.wekainvestigator.tab.classifytab.history - package adams.gui.tools.wekainvestigator.tab.classifytab.history

adams.gui.tools.wekainvestigator.tab.classifytab.output - package adams.gui.tools.wekainvestigator.tab.classifytab.output

adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold - package adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold

adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated - package adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated

adams.gui.tools.wekainvestigator.tab.clustertab - package adams.gui.tools.wekainvestigator.tab.clustertab

adams.gui.tools.wekainvestigator.tab.clustertab.evaluation - package adams.gui.tools.wekainvestigator.tab.clustertab.evaluation

adams.gui.tools.wekainvestigator.tab.clustertab.history - package adams.gui.tools.wekainvestigator.tab.clustertab.history

adams.gui.tools.wekainvestigator.tab.clustertab.output - package adams.gui.tools.wekainvestigator.tab.clustertab.output

adams.gui.tools.wekainvestigator.tab.experimenttab - package adams.gui.tools.wekainvestigator.tab.experimenttab

adams.gui.tools.wekainvestigator.tab.experimenttab.output - package adams.gui.tools.wekainvestigator.tab.experimenttab.output

adams.gui.tools.wekainvestigator.tab.experimenttab.setup - package adams.gui.tools.wekainvestigator.tab.experimenttab.setup

adams.gui.tools.wekainvestigator.tab.preprocesstab - package adams.gui.tools.wekainvestigator.tab.preprocesstab

adams.gui.tools.wekainvestigator.tab.preprocesstab.attributeselaction - package adams.gui.tools.wekainvestigator.tab.preprocesstab.attributeselaction

adams.gui.tools.wekamultiexperimenter - package adams.gui.tools.wekamultiexperimenter

adams.gui.tools.wekamultiexperimenter.analysis - package adams.gui.tools.wekamultiexperimenter.analysis

adams.gui.tools.wekamultiexperimenter.experiment - package adams.gui.tools.wekamultiexperimenter.experiment

adams.gui.tools.wekamultiexperimenter.io - package adams.gui.tools.wekamultiexperimenter.io

adams.gui.tools.wekamultiexperimenter.runner - package adams.gui.tools.wekamultiexperimenter.runner

adams.gui.tools.wekamultiexperimenter.setup - package adams.gui.tools.wekamultiexperimenter.setup

adams.gui.tools.wekamultiexperimenter.setup.weka - package adams.gui.tools.wekamultiexperimenter.setup.weka

adams.gui.visualization.debug.inspectionhandler - package adams.gui.visualization.debug.inspectionhandler

adams.gui.visualization.debug.objectexport - package adams.gui.visualization.debug.objectexport

adams.gui.visualization.debug.objectrenderer - package adams.gui.visualization.debug.objectrenderer

adams.gui.visualization.instance - package adams.gui.visualization.instance

adams.gui.visualization.instance.containerlistpopup - package adams.gui.visualization.instance.containerlistpopup

adams.gui.visualization.instance.plotpopup - package adams.gui.visualization.instance.plotpopup

adams.gui.visualization.instances - package adams.gui.visualization.instances

adams.gui.visualization.instances.instancestable - package adams.gui.visualization.instances.instancestable

adams.gui.visualization.weka - package adams.gui.visualization.weka

adams.gui.wizard - package adams.gui.wizard

adams.ml.data - package adams.ml.data

adams.ml.model.classification - package adams.ml.model.classification

adams.ml.model.clustering - package adams.ml.model.clustering

adams.ml.model.regression - package adams.ml.model.regression

adams.multiprocess - package adams.multiprocess

adams.opt.genetic - package adams.opt.genetic

adams.opt.genetic.initialsetups - package adams.opt.genetic.initialsetups

adams.opt.optimise - package adams.opt.optimise

adams.opt.optimise.genetic - package adams.opt.optimise.genetic

adams.opt.optimise.genetic.fitnessfunctions - package adams.opt.optimise.genetic.fitnessfunctions

adams.tools - package adams.tools

AdamsExperimentFileChooser - Class in adams.gui.chooser

A specialized JFileChooser that lists all available file Readers and Writers for ADAMS Experiments.

AdamsExperimentFileChooser() - Constructor for class adams.gui.chooser.AdamsExperimentFileChooser

Constructs a FileChooser pointing to the user's default directory.

AdamsExperimentFileChooser(File) - Constructor for class adams.gui.chooser.AdamsExperimentFileChooser

Constructs a FileChooser using the given File as the path.

AdamsExperimentFileChooser(String) - Constructor for class adams.gui.chooser.AdamsExperimentFileChooser

Constructs a FileChooser using the given path.

AdamsExperimentRunner<T extends AbstractExperiment> - Class in adams.gui.tools.wekamultiexperimenter.runner

Ancestor for classes that handle running a copy of the experiment in a separate thread.

AdamsExperimentRunner(ExperimenterPanel) - Constructor for class adams.gui.tools.wekamultiexperimenter.runner.AdamsExperimentRunner

Initializes the thread.

AdamsHelper - Class in weka.gui

Helper class to make Weka GUI more ADAMS-like.

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

AdamsInstanceCapabilities - Class in adams.flow.condition.bool

Filters adams.data.instance.Instance based on defined capabilities.

AdamsInstanceCapabilities() - Constructor for class adams.flow.condition.bool.AdamsInstanceCapabilities

AdamsInstanceToWekaInstance - Class in adams.data.conversion

Converts adams.data.instance.Instance objects into weka.core.Instance ones.

AdamsInstanceToWekaInstance() - Constructor for class adams.data.conversion.AdamsInstanceToWekaInstance

add(int, Instance) - Method in class weka.core.InstancesView

Adds one instance at the given position in the list.

add(SpreadSheet, int, int, int, int[], boolean) - Method in class weka.classifiers.AggregateEvaluations

Adds the data from the spreadsheet as predictions.

add(ArrayHistogram, Instance) - Method in class adams.gui.visualization.instance.HistogramFactory.Dialog

Adds a plot of the given instance.

add(ArrayHistogram, Instance) - Method in class adams.gui.visualization.instance.HistogramFactory.Panel

Adds a plot of the given instance.

add(ArrayHistogram, Instance, String) - Method in class adams.gui.visualization.instance.HistogramFactory.Dialog

Adds a plot of the given instance.

add(ArrayHistogram, Instance, String) - Method in class adams.gui.visualization.instance.HistogramFactory.Panel

Adds a plot of the given instance.

add(DataContainer) - Method in class adams.gui.tools.wekainvestigator.data.DataContainerList

Adds the data container and sets the undo enabled flag accordingly.

add(InstanceContainer) - Method in class adams.gui.visualization.instance.InstanceContainerManager

Adds the given container to the list.

add(String, int, double, double) - Method in class adams.opt.optimise.genetic.PackDataDef

add(List<String>, char, boolean) - Static method in class weka.core.WekaOptionUtils

Adds the boolean flag (if true) to the options.

add(List<String>, char, double) - Static method in class weka.core.WekaOptionUtils

Adds the double value to the options.

add(List<String>, char, float) - Static method in class weka.core.WekaOptionUtils

Adds the float value to the options.

add(List<String>, char, int) - Static method in class weka.core.WekaOptionUtils

Adds the int value to the options.

add(List<String>, char, long) - Static method in class weka.core.WekaOptionUtils

Adds the long value to the options.

add(List<String>, char, BaseObject) - Static method in class weka.core.WekaOptionUtils

Adds the BaseObject to the options.

add(List<String>, char, BaseObject[]) - Static method in class weka.core.WekaOptionUtils

Adds the BaseObject to the options.

add(List<String>, char, Index) - Static method in class weka.core.WekaOptionUtils

Adds the Index to the options.

add(List<String>, char, Index[]) - Static method in class weka.core.WekaOptionUtils

Adds the Index to the options.

add(List<String>, char, OptionHandler) - Static method in class weka.core.WekaOptionUtils

Adds the adams.core.option.OptionHandler to the options.

add(List<String>, char, Range) - Static method in class weka.core.WekaOptionUtils

Adds the adams.core.Range to the options.

add(List<String>, char, Range[]) - Static method in class weka.core.WekaOptionUtils

Adds the adams.core.Range to the options.

add(List<String>, char, File) - Static method in class weka.core.WekaOptionUtils

Adds the File value to the options.

add(List<String>, char, Enum) - Static method in class weka.core.WekaOptionUtils

Adds the enum value to the options.

add(List<String>, char, Object) - Static method in class weka.core.WekaOptionUtils

Adds the array to the options.

add(List<String>, char, String) - Static method in class weka.core.WekaOptionUtils

Adds the String value to the options.

add(List<String>, char, OptionHandler) - Static method in class weka.core.WekaOptionUtils

Adds the OptionHandler to the options.

add(List<String>, String[]) - Static method in class weka.core.WekaOptionUtils

Adds the "super" options to the current list.

add(List<String>, String, boolean) - Static method in class weka.core.WekaOptionUtils

Adds the boolean flag (if true) to the options.

add(List<String>, String, double) - Static method in class weka.core.WekaOptionUtils

Adds the double value to the options.

add(List<String>, String, float) - Static method in class weka.core.WekaOptionUtils

Adds the float value to the options.

add(List<String>, String, int) - Static method in class weka.core.WekaOptionUtils

Adds the int value to the options.

add(List<String>, String, long) - Static method in class weka.core.WekaOptionUtils

Adds the long value to the options.

add(List<String>, String, BaseObject) - Static method in class weka.core.WekaOptionUtils

Adds the BaseObject to the options.

add(List<String>, String, BaseObject[]) - Static method in class weka.core.WekaOptionUtils

Adds the BaseObject to the options.

add(List<String>, String, Index) - Static method in class weka.core.WekaOptionUtils

Adds the Index to the options.

add(List<String>, String, Index[]) - Static method in class weka.core.WekaOptionUtils

Adds the Index to the options.

add(List<String>, String, OptionHandler) - Static method in class weka.core.WekaOptionUtils

Adds the adams.core.option.OptionHandler to the options.

add(List<String>, String, Range) - Static method in class weka.core.WekaOptionUtils

Adds the adams.core.Range to the options.

add(List<String>, String, Range[]) - Static method in class weka.core.WekaOptionUtils

Adds the adams.core.Range to the options.

add(List<String>, String, File) - Static method in class weka.core.WekaOptionUtils

Adds the File value to the options.

add(List<String>, String, Enum) - Static method in class weka.core.WekaOptionUtils

Adds the enum value to the options.

add(List<String>, String, Object) - Static method in class weka.core.WekaOptionUtils

Adds the array to the options.

add(List<String>, String, String) - Static method in class weka.core.WekaOptionUtils

Adds the String value to the options.

add(List<String>, String, OptionHandler) - Static method in class weka.core.WekaOptionUtils

Adds the OptionHandler to the options.

add(Vector, Enumeration) - Static method in class weka.core.WekaOptionUtils

Adds the option description of the super class.

add(Evaluation) - Method in class weka.classifiers.AggregateEvaluations

Adds the predictions of the given Evaluation object.

add(Prediction) - Method in class weka.classifiers.AggregateEvaluations

Adds the prediction.

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

Adds one instance to the end of the set.

ADD - adams.gui.event.InstancesSortSetupEvent.EventType

a definition was added.

addAction(InstancesTablePopupMenuItemHelper.TableState, boolean, JMenuItem, InstancesTablePopupMenuItem) - Static method in class adams.gui.visualization.instances.instancestable.InstancesTablePopupMenuItemHelper

Adds the appropriate action to the menuitem.

addAdditionalAttributes(SpreadSheet, Instances, int[]) - Method in class adams.gui.tools.wekainvestigator.tab.IndependentComponentsTab

Adds the additional columns from the Instances to the spreadsheet.

addAdditionalAttributes(SpreadSheet, Instances, int[]) - Method in class adams.gui.tools.wekainvestigator.tab.PartialLeastSquaresTab

Adds the additional columns from the Instances to the spreadsheet.

addAdditionalAttributes(SpreadSheet, Instances, int[]) - Method in class adams.gui.tools.wekainvestigator.tab.PrincipalComponentsTab

Adds the additional columns from the Instances to the spreadsheet.

addAll(Collection<? extends DataContainer>) - Method in class adams.gui.tools.wekainvestigator.data.DataContainerList

Adds all the data containers and sets their undo enabled flag accordingly.

addAttributeInformationTipText() - Method in class adams.flow.transformer.indexedsplitsrunsgenerator.AbstractInstancesIndexedSplitsRunsGenerator

Returns the tip text for this property.

addCapabilities(String, Capabilities) - Method in class adams.gui.help.WekaOptionHandlerHelpGenerator

generates a string from the capapbilities, suitable to add to the help text.

addCell(int) - Method in class adams.ml.data.InstancesHeaderRow

Adds a cell with the key of the cell in the header at the specified location.

addCell(int) - Method in class adams.ml.data.InstanceView

Adds a cell with the key of the cell in the header at the specified location.

addCell(String) - Method in class adams.ml.data.InstancesHeaderRow

Adds a cell with the given key to the list and returns the created object.

addCell(String) - Method in class adams.ml.data.InstanceView

Adds a cell with the given key to the list and returns the created object.

addChangeListener(ChangeListener) - Method in class adams.gui.goe.WekaGenericObjectEditorPopupMenu

Adds the listener to the internal list of listeners that get notified when the user changes the setup.

addChangeListener(ChangeListener) - Method in class adams.gui.visualization.instance.InstanceComparePanel.DatasetPanel

Adds the change listener to the internal list.

addChangeListener(ChangeListener) - Method in class adams.gui.visualization.instances.InstancesTable

Adds the listener to the pool of listeners that get notified when the data changes.

addClassificationLabelTipText() - Method in class adams.data.conversion.WekaPredictionContainerToSpreadSheet

Returns the tip text for this property.

addClassificationTipText() - Method in class adams.data.conversion.WekaPredictionContainerToSpreadSheet

Returns the tip text for this property.

addClassifier(Classifier) - Method in class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment

Adds a classifier.

AddCluster - Class in adams.flow.transformer.wekaclusterer

Just adds the predicted cluster (or distribution) to the original dataset.
Stored in container under: Clustered dataset

AddCluster() - Constructor for class adams.flow.transformer.wekaclusterer.AddCluster

addComment(String) - Method in class adams.ml.data.InstancesView

Adds the comment to the internal list of comments.

addComment(List<String>) - Method in class adams.ml.data.InstancesView

Ignored.

addData(DataContainer) - Method in class adams.gui.tools.wekainvestigator.source.AbstractSource

Adds the data.

addDatabaseIDTipText() - Method in class adams.data.instances.AbstractInstanceGenerator

Returns the tip text for this property.

addDataset(PlaceholderFile) - Method in class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment

Adds a dataset.

addDatasetInfo(JsonObject, Instances) - Method in class weka.classifiers.meta.socketfacade.Simple

Information about the dataset to the JSON object.

addDatasetInformationTipText() - Method in class adams.flow.transformer.indexedsplitsrunsgenerator.AbstractInstancesIndexedSplitsRunsGenerator

Returns the tip text for this property.

addDefaultTabs() - Method in class adams.gui.tools.wekainvestigator.InvestigatorPanel

Adds the default tabs.

addDefinition() - Method in class adams.gui.visualization.instances.instancestable.InstancesSortPanel

Adds a new definition.

addDistributionTipText() - Method in class adams.data.conversion.WekaPredictionContainerToSpreadSheet

Returns the tip text for this property.

addFlag(Vector, String, char) - Static method in class weka.core.WekaOptionUtils

Adds an Option for a flag to the list of options.

addFlag(Vector, String, String) - Static method in class weka.core.WekaOptionUtils

Adds an Option for a flag to the list of options.

addIndexTipText() - Method in class adams.flow.transformer.WekaInstancesMerge

Returns the tip text for this property.

addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.FilteredSearch

Adds the given instance info.

addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.NewNNSearch

Adds the given instance info.

addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.PCANNSearch

Adds the given instance info.

addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.PLSNNSearch

Adds the given instance info.

addInstancesSortSetupListener(InstancesSortSetupListener) - Method in class adams.gui.visualization.instances.instancestable.InstancesSortPanel

Adds the specified listener.

addIQR(Integer, TDoubleArrayList) - Method in class weka.filters.unsupervised.attribute.InterquartileRangeSamp

Calculates and adds the IQR stats for this key.

AdditionalExplorerPanel - Interface in weka.gui.explorer.panels

Interface for classes that supply additional Explorer panels.

additionalFieldsTipText() - Method in interface adams.data.instances.InstanceGeneratorWithAdditionalFields

Returns the tip text for this property.

additionalTipText() - Method in class weka.classifiers.functions.FromPredictions

Returns the tip text for this property.

addLabelIndexTipText() - Method in class adams.flow.transformer.AbstractWekaPredictionsTransformer

Returns the tip text for this property.

addLabelIndexTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.Predictions

Returns the tip text for this property.

addLastSetup(Class, boolean, boolean, Object) - Method in class adams.gui.visualization.instances.InstancesTable

Stores this last setup.

addMetaLevelPrediction(Instance, int, double) - Method in class weka.classifiers.meta.ClassifierCascade

Adds the class distribution of the specified classifier to the meta-level instance.

addMetaLevelPrediction(Instance, int, double[]) - Method in class weka.classifiers.meta.ClassifierCascade

Adds the class distribution of the specified classifier to the meta-level instance.

addMetric(SpreadSheet, String, Object) - Method in class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment.AbstractExperimentJob

Adds the metric to the results, automatically expands spreadsheet.

addMetrics(SpreadSheet, int, Classifier, Instances, Evaluation) - Method in class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment.AbstractExperimentJob

Adds the metrics from the Evaluation object to the results.

addNestedItem(String, AbstractNestableResultItem) - Method in class adams.gui.tools.wekainvestigator.output.AbstractNestableResultItem

Adds the nested item.

addObjectSize(MetaData, String, Object) - Method in class adams.gui.tools.wekainvestigator.evaluation.AbstractEvaluation

Adds the object size to the meta-data.

addOneTipText() - Method in class weka.filters.unsupervised.attribute.LogTransform

Returns the tip text for this property.

addOption(Vector, String, Index, char) - Static method in class weka.core.WekaOptionUtils

Adds an Option for a flag to the list of options.

addOption(Vector, String, Index, String) - Static method in class weka.core.WekaOptionUtils

Adds an Option for a flag to the list of options.

addOption(Vector, String, Range, char) - Static method in class weka.core.WekaOptionUtils

Adds an Option for a flag to the list of options.

addOption(Vector, String, Range, String) - Static method in class weka.core.WekaOptionUtils

Adds an Option for a flag to the list of options.

addOption(Vector, String, String, char) - Static method in class weka.core.WekaOptionUtils

Adds an Option for a flag to the list of options.

addOption(Vector, String, String, String) - Static method in class weka.core.WekaOptionUtils

Adds an Option for a flag to the list of options.

addOption(Vector, String, OptionHandler, char) - Static method in class weka.core.WekaOptionUtils

Adds an Option for a flag to the list of options.

addOption(Vector, String, OptionHandler, String) - Static method in class weka.core.WekaOptionUtils

Adds an Option for a flag to the list of options.

addOption(Vector, String, Range, char) - Static method in class weka.core.WekaOptionUtils

Adds an Option for a flag to the list of options.

addOption(Vector, String, Range, String) - Static method in class weka.core.WekaOptionUtils

Adds an Option for a flag to the list of options.

addOption(Vector, String, SingleIndex, char) - Static method in class weka.core.WekaOptionUtils

Adds an Option for a flag to the list of options.

addOption(Vector, String, SingleIndex, String) - Static method in class weka.core.WekaOptionUtils

Adds an Option for a flag to the list of options.

addPage(MultiPagePane, String, JComponent, int) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.AbstractOutputGenerator

Adds a page for the confusion matrix.

addPage(String, Component, int) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold.PerFoldMultiPagePane

Adds the page at the end.

addPanel(ExplorerExt, String) - Method in class weka.gui.explorer.MultiExplorer

Adds the given explorer panel.

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

Adds a PropertyChangeListener who will be notified of value changes.

addRecentFile(File, AbstractFileLoader) - Method in class adams.gui.tools.wekainvestigator.InvestigatorPanel

Adds the specified file/loader combination to the recent files list.

addResult(String, Double) - Method in class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm

Adds a result to the cache.

addResult(String, Double) - Method in class adams.opt.optimise.GeneticAlgorithm

Adds a result to the cache.

addRow() - Method in class adams.ml.data.InstancesView

Appends a row to the spreadsheet.

addRow(String) - Method in class adams.ml.data.InstancesView

Adds a row with the given key to the list and returns the created object.

addSecondResult(String, Double) - Method in class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation

Adds a result to the cache (second evaluation).

addSelectionListener(ListSelectionListener) - Method in class adams.gui.tools.wekainvestigator.tab.preprocesstab.AttributeSelectionPanel

Add a listener to the list that's notified each time a change to the selection occurs.

addStatistic(SpreadSheet, String, Object) - Method in class adams.flow.transformer.WekaInstancesInfo

Adds a statistic to the dataset.

addStatistic(Evaluation, SpreadSheet, EvaluationStatistic, int, boolean) - Method in class adams.flow.transformer.WekaEvaluationValues

Adds the specified statistic to the spreadsheet.

addSubRangeInfo(MetaData, double[]) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.history.SubRangeEvaluation

Adds the range information to a clone of the provided meta-data info and returns it.

addSubRangeInfo(MetaData, double[]) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold.SubRangeEvaluation

Adds the range information to a clone of the provided meta-data info and returns it.

addTab(AbstractInvestigatorTab) - Method in class adams.gui.tools.wekainvestigator.tab.InvestigatorTabbedPane

Adds the tab.

addTab(AbstractInvestigatorTab, boolean) - Method in class adams.gui.tools.wekainvestigator.tab.InvestigatorTabbedPane

Adds the tab.

addTab(T, JComponent) - Method in class adams.gui.tools.wekainvestigator.output.AbstractOutputGenerator

Adds the component as tab to the result item.

addTableModelListener(TableModelListener) - Method in class adams.gui.visualization.instances.InstancesTableModel

adds a listener to the list that is notified each time a change to data model occurs

addToHistory(AbstractNamedHistoryPanel<R>, R) - Method in class adams.gui.tools.wekainvestigator.evaluation.AbstractEvaluation

Adds the item to the history and selects it.

addToPopupMenu(InstancesTablePopupMenuItemHelper.TableState, boolean, JPopupMenu, List<InstancesTablePopupMenuItem>, Set<Class>) - Static method in class adams.gui.visualization.instances.instancestable.InstancesTablePopupMenuItemHelper

Adds the available menu items to the menu.

addToPopupMenu(InstancesTablePopupMenuItemHelper.TableState, JPopupMenu, boolean) - Static method in class adams.gui.visualization.instances.instancestable.InstancesTablePopupMenuItemHelper

Adds the available menu items to the menu.

addUndoPoint() - Method in class adams.gui.visualization.instances.InstancesTable

adds an undo point to the undo history, if the undo support is enabled

addUndoPoint() - Method in class adams.gui.visualization.instances.InstancesTableModel

adds an undo point to the undo history, if the undo support is enabled

addUndoPoint(String) - Method in class adams.gui.tools.wekainvestigator.data.AbstractDataContainer

Adds an undo point with the given comment.

adjust(double) - Method in enum adams.opt.genetic.Measure

Adjusts the measure value for sorting: either multiplies it with -1 or 1.

adjust(double) - Method in enum adams.opt.optimise.genetic.fitnessfunctions.AbstractWEKAFitnessFunction.Measure

Adjusts the measure value for sorting: either multiplies it with -1 or 1.

Adjust - Class in adams.gui.visualization.instance.plotpopup

Whether to adjust the plot to the loaded or visible data.

Adjust() - Constructor for class adams.gui.visualization.instance.plotpopup.Adjust

afterTableLayoutChanged() - Method in class adams.gui.tools.wekainvestigator.datatable.DataTable

Can be called after the layout changed.

afterTableLayoutChanged() - Method in class adams.gui.visualization.instances.InstancesTable

Can be called after the layout changed.

aggregated() - Method in class weka.classifiers.AggregateEvaluations

Returns the aggregated evaluation.

AggregateEvaluations - Class in weka.classifiers

Allows the aggregation of Evaluation objects.

AggregateEvaluations() - Constructor for class weka.classifiers.AggregateEvaluations

Initializes the object.

ALGORITHM_CDF2_4 - Static variable in class weka.filters.unsupervised.attribute.FastWavelet

the type of algorithm: CDF2 4.

ALGORITHM_DAUBECHIES2 - Static variable in class weka.filters.unsupervised.attribute.FastWavelet

the type of algorithm: Daubechies2.

ALGORITHM_HAAR - Static variable in class weka.filters.unsupervised.attribute.FastWavelet

the type of algorithm: Haar.

ALGORITHM_SYMMLET8 - Static variable in class weka.filters.unsupervised.attribute.FastWavelet

the type of algorithm: Symmlet8.

algorithmsTipText() - Method in class weka.classifiers.BestBinnedNumericClassRandomSplitGenerator

Returns the tip text for this property.

algorithmTipText() - Method in class adams.data.instancesanalysis.PLS

Returns the tip text for this property.

algorithmTipText() - Method in class adams.flow.transformer.WekaGeneticAlgorithm

Returns the tip text for this property.

algorithmTipText() - Method in class weka.classifiers.BinnedNumericClassCrossValidationFoldGenerator

Returns the tip text for this property.

algorithmTipText() - Method in class weka.classifiers.BinnedNumericClassRandomSplitGenerator

Returns the tip text for this property.

algorithmTipText() - Method in class weka.classifiers.functions.GeneticAlgorithm

Returns the tip text for this property.

algorithmTipText() - Method in class weka.classifiers.functions.PLSWeighted

Returns the tip text for this property

algorithmTipText() - Method in class weka.classifiers.GroupedBinnedNumericClassCrossValidationFoldGenerator

Returns the tip text for this property.

algorithmTipText() - Method in class weka.classifiers.GroupedBinnedNumericClassRandomSplitGenerator

Returns the tip text for this property.

algorithmTipText() - Method in class weka.filters.supervised.attribute.MultiPLS

Returns the tip text for this property

algorithmTipText() - Method in class weka.filters.supervised.attribute.PLS

Returns the tip text for this property

algorithmTipText() - Method in class weka.filters.unsupervised.attribute.FastWavelet

Returns the tip text for this property.

AlignDataset - Class in weka.filters.unsupervised.instance

Aligns the dataset(s) passing through to the reference dataset.
Makes use of the following other filters internally:
- weka.filters.unsupervised.attribute.AnyToString
- weka.filters.unsupervised.instance.RemoveWithLabels

Valid options are:

AlignDataset() - Constructor for class weka.filters.unsupervised.instance.AlignDataset

alignIndices(int[]) - Static method in class weka.classifiers.CrossValidationHelper

Reorders the indices to align with the original data.

alignPredictions(ArrayList<Prediction>, int[]) - Static method in class weka.classifiers.CrossValidationHelper

Reorders the predictions to align with the original data.

ALL - adams.data.instancesanalysis.pls.PredictionType

predict all Ys.

ALL - adams.flow.source.wekapackagemanageraction.ListPackages.ListType

ALL - adams.opt.genetic.OutputType

setup and data.

AllFinder - Class in adams.data.weka.columnfinder

Dummy finder, finds all columns.

AllFinder - Class in adams.data.weka.rowfinder

Dummy finder, finds all rows.

AllFinder() - Constructor for class adams.data.weka.columnfinder.AllFinder

AllFinder() - Constructor for class adams.data.weka.rowfinder.AllFinder

allowAccessToFullInputFormat() - Method in class weka.filters.FilteredFilter

Returns whether to allow the determineOutputFormat(Instances) method access to the full dataset rather than just the header.

allowAccessToFullInputFormat() - Method in class weka.filters.unsupervised.attribute.AttributeSummaryTransferFilter

Returns whether to allow the determineOutputFormat(Instances) method access to the full dataset rather than just the header.

allowAccessToFullInputFormat() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter2

Returns whether to allow the determineOutputFormat(Instances) method access to the full dataset rather than just the header.

alphaTipText() - Method in class weka.classifiers.trees.XGBoost

Gets the tip-text for the alpha option.

alphaTipText() - Method in class weka.filters.supervised.attribute.YGradientEPO

Returns the tip text for this property

alphaTipText() - Method in class weka.filters.supervised.attribute.YGradientGLSW

Returns the tip text for this property

alwaysShowMarkersTipText() - Method in class adams.gui.visualization.instance.InstanceLinePaintlet

Returns the tip text for this property.

alwaysUseContainerTipText() - Method in class adams.flow.transformer.AbstractWekaClassifierEvaluator

Returns the tip text for this property.

amountTipText() - Method in class weka.filters.unsupervised.instance.LatestRecords

Returns the tip text for this property.

AnalysisPanel - Class in adams.gui.tools.wekamultiexperimenter

The analysis panel.

AnalysisPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.AnalysisPanel

analyze() - Method in class adams.gui.tools.wekamultiexperimenter.analysis.DefaultAnalysisPanel

Performs the analysis.

AndrewsCurves - Class in weka.filters.unsupervised.attribute

Generates Andrews Curves from array data.
César Ignacio García Osorio, Colin Fyfe (2003).

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

antiAliasingEnabledTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ClassifierErrors

Returns the tip text for this property.

antiAliasingEnabledTipText() - Method in class adams.gui.visualization.instance.InstanceLinePaintlet

Returns the tip text for this property.

antiAliasingEnabledTipText() - Method in class adams.gui.visualization.instance.SimpleInstanceLinePaintlet

Returns the tip text for this property.

AnyToString - Class in weka.filters.unsupervised.attribute

Turns the selected range of attributes into string ones.

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

append(String) - Method in class adams.gui.tools.wekainvestigator.tab.LogTab

Appends the message to the log.

append(String) - Method in class adams.gui.tools.wekamultiexperimenter.LogPanel

Appends the log message.

Append - Class in adams.gui.tools.wekainvestigator.datatable.action

Appends the selected datasets into single dataset (one-after-the-other).

Append() - Constructor for class adams.gui.tools.wekainvestigator.datatable.action.Append

Instantiates the action.

AppendDatasets - Class in adams.gui.menu

For appending datasets into single dataset.

AppendDatasets() - Constructor for class adams.gui.menu.AppendDatasets

Initializes the menu item with no owner.

AppendDatasets(AbstractApplicationFrame) - Constructor for class adams.gui.menu.AppendDatasets

Initializes the menu item.

AppendDatasetsPanel - Class in adams.gui.tools.weka

Wizard panel that allows appending datasets (one after the other).

AppendDatasetsPanel(boolean) - Constructor for class adams.gui.tools.weka.AppendDatasetsPanel

Initializes the panel.

appendResults(SpreadSheet) - Method in class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment

Adds the results to the existing ones.

appliesToNominalClass() - Method in class weka.classifiers.evaluation.AbstractSimpleRegressionMeasure

Return true if this evaluation metric can be computed when the class is nominal

appliesToNominalClass() - Method in class weka.classifiers.evaluation.Dice

Return true if this evaluation metric can be computed when the class is nominal

appliesToNumericClass() - Method in class weka.classifiers.evaluation.AbstractSimpleRegressionMeasure

Return true if this evaluation metric can be computed when the class is numeric

appliesToNumericClass() - Method in class weka.classifiers.evaluation.Dice

Return true if this evaluation metric can be computed when the class is numeric

apply(Instances, int[]) - Method in class weka.filters.unsupervised.attribute.AbstractColumnFinderApplier

Applies the indices to the data.

apply(Instances, int[]) - Method in class weka.filters.unsupervised.attribute.DatasetCleaner

Applies the indices to the data.

apply(Instances, int[]) - Method in class weka.filters.unsupervised.instance.AbstractRowFinderApplier

Applies the indices to the data.

apply(Instances, int[]) - Method in class weka.filters.unsupervised.instance.DatasetCleaner

Applies the indices to the data.

apply(Instances, int[]) - Method in class weka.filters.unsupervised.instance.DatasetLabeler

Applies the indices to the data.

applyCombination(double[]) - Method in class weka.classifiers.meta.ClassifierCascade

Applies the selected combination to the array.

applyIndexedSplit(IndexedSplit, Instances) - Method in class adams.flow.transformer.indexedsplitsrunsevaluation.InstancesIndexedSplitsRunsEvaluation

Applies the splits defined in the indexed split and returns the generated subsets.

applyIndexedSplit(IndexedSplit, Instances) - Method in class adams.flow.transformer.indexedsplitsrunspredictions.InstancesIndexedSplitsRunsPredictions

Applies the splits defined in the indexed split and returns the generated subsets.

applyUndoData(Serializable[]) - Method in class adams.gui.tools.wekainvestigator.data.AbstractDataContainer

Restores the data from the undo point.

applyUndoData(Serializable[]) - Method in class adams.gui.tools.wekainvestigator.data.DatabaseContainer

Restores the data from the undo point.

applyUndoData(Serializable[]) - Method in class adams.gui.tools.wekainvestigator.data.DataGeneratorContainer

Restores the data from the undo point.

applyUndoData(Serializable[]) - Method in class adams.gui.tools.wekainvestigator.data.FileContainer

Restores the data from the undo point.

applyUndoData(Serializable[]) - Method in class adams.gui.tools.wekainvestigator.data.SpreadSheetContainer

Restores the data from the undo point.

applyUndoData(Serializable[]) - Method in class adams.gui.tools.wekainvestigator.data.TextDirectoryLoaderContainer

Restores the data from the undo point.

APPROVE_OPTION - Static variable in class adams.gui.goe.WekaGenericArrayEditorDialog

constant for dialog approval.

APPROVE_OPTION - Static variable in class adams.gui.goe.WekaGenericObjectEditorDialog

constant for dialog approval.

APPROX - weka.classifiers.trees.XGBoost.TreeMethod

AREA_UNDER_PRC - adams.flow.core.EvaluationStatistic

AREA_UNDER_PRC - adams.flow.core.ExperimentStatistic

AREA_UNDER_PRC - adams.opt.genetic.Measure

area under precision recall curve.

AREA_UNDER_ROC - adams.flow.core.EvaluationStatistic

AREA_UNDER_ROC - adams.flow.core.ExperimentStatistic

AREA_UNDER_ROC - adams.opt.genetic.Measure

area under receiver operator curve.

ARFF - adams.flow.sink.WekaExperimentGenerator.ResultFormat

ARFF.

ARFF - adams.flow.transformer.WekaInstanceDumper.OutputFormat

ARFF.

ArffOutputPanel - Class in adams.gui.tools.wekamultiexperimenter.setup.weka

Stores the results in an ARFF file.

ArffOutputPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.setup.weka.ArffOutputPanel

ArffSpreadSheetReader - Class in adams.data.io.input

Reads WEKA datasets in ARFF format and turns them into spreadsheets.

ArffSpreadSheetReader() - Constructor for class adams.data.io.input.ArffSpreadSheetReader

ArffSpreadSheetWriter - Class in adams.data.io.output

Writes a spreadsheet in ARFF file format.

ArffSpreadSheetWriter() - Constructor for class adams.data.io.output.ArffSpreadSheetWriter

ArffUtils - Class in adams.data.weka

A helper class for ARFF related stuff.

ArffUtils() - Constructor for class adams.data.weka.ArffUtils

ArffViewer - Class in adams.gui.menu

Opens the ARFF viewer.

ArffViewer() - Constructor for class adams.gui.menu.ArffViewer

Initializes the menu item with no owner.

ArffViewer(AbstractApplicationFrame) - Constructor for class adams.gui.menu.ArffViewer

Initializes the menu item.

ArrayStatistic - Class in adams.gui.visualization.instances.instancestable

Allows the calculation of row statistics.

ArrayStatistic() - Constructor for class adams.gui.visualization.instances.instancestable.ArrayStatistic

arrayToHashSet(int[]) - Static method in class adams.data.weka.columnfinder.AbstractColumnFinder

Turns the array into a hashset.

arrayToHashSet(int[]) - Static method in class adams.data.weka.rowfinder.AbstractRowFinder

Turns the array into a hashset.

AS_IS - weka.classifiers.meta.MinMaxLimits.LimitHandling

no special handling, just as-is.

ASCENDING - adams.data.conversion.WekaPredictionContainerToSpreadSheet.Sorting

ascending.

assembleSetup(double, Classifier, int, int[]) - Method in class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm.ClassifierBasedGeneticAlgorithmJob

Assembles the data for the textual setup output.

assembleSetup(double, Classifier, int, int[]) - Method in class adams.opt.genetic.DarkLord.DarkLordJob

Assembles the data for the textual setup output.

assembleSetup(double, Classifier, int, int[]) - Method in class adams.opt.genetic.Hermione.HermioneJob

Assembles the data for the textual setup output.

assign(DataContainer<InstancePoint>) - Method in class adams.data.instance.Instance

Obtains the stored variables from the other data point, but not the actual data points.

assign(DataPoint) - Method in class adams.data.instance.InstancePoint

Obtains the stored variables from the other data point.

assign(Cell) - Method in class adams.ml.data.DataCellView

Obtains the content/type of the other cell, but not the owner.

assign(Row) - Method in class adams.ml.data.InstancesHeaderRow

Obtains copies of the cells from the other row, but not the owner.

assign(Row) - Method in class adams.ml.data.InstanceView

Obtains copies of the cells from the other row, but not the owner.

assign(SpreadSheet) - Method in class adams.ml.data.InstancesView

Clears this spreadsheet and copies all the data from the given one.

assign(InstanceContainer) - Method in class adams.gui.visualization.instance.InstanceContainer

Updates itself with the values from given container (the manager is excluded!).

assign(AbstractHashableInstance) - Method in class weka.core.AbstractHashableInstance

Assigns all the data, apart from wrapped instance, that the provided hashable instance provides.

assign(Experiment) - Method in class weka.experiment.ExtExperiment

Assigns the values from the other experiment.

assignIDs(int) - Method in class weka.classifiers.trees.m5.RuleNode2

Assigns a unique identifier to each node in the tree

AssociateTab - Class in adams.gui.tools.wekainvestigator.tab

Tab for associators.

AssociateTab() - Constructor for class adams.gui.tools.wekainvestigator.tab.AssociateTab

AssociateTab.HistoryPanel - Class in adams.gui.tools.wekainvestigator.tab

Customized history panel.

AssociationsHandler - Class in weka.gui.explorer

Manages the AssociationsPanel.

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

associatorTipText() - Method in class adams.flow.source.WekaAssociatorSetup

Returns the tip text for this property.

associatorTipText() - Method in class adams.flow.transformer.WekaTrainAssociator

Returns the tip text for this property.

ATT_CONSTANT - Static variable in class weka.classifiers.meta.LogTargetRegressor

Constant to add to attributes before logarithm is taken.

ATT_DATE - Static variable in class adams.core.base.AttributeTypeList

the type string for date attributes.

ATT_NOMINAL - Static variable in class adams.core.base.AttributeTypeList

the type string for nominal attributes.

ATT_NUMERIC - Static variable in class adams.core.base.AttributeTypeList

the type string for numeric attributes.

ATT_RANGE - Static variable in class weka.filters.unsupervised.instance.KennardStone

ATT_REGEXP - Static variable in class weka.filters.unsupervised.attribute.Detrend

ATT_REGEXP - Static variable in class weka.filters.unsupervised.attribute.MultiplicativeScatterCorrection

ATT_STRING - Static variable in class adams.core.base.AttributeTypeList

the type string for string attributes.

attRangeTipText() - Method in class weka.filters.unsupervised.instance.KennardStone

Returns the tip text for this property.

attRegExpTipText() - Method in class weka.filters.unsupervised.attribute.Detrend

Returns the tip text for this property.

attRegExpTipText() - Method in class weka.filters.unsupervised.attribute.MultiplicativeScatterCorrection

Returns the tip text for this property.

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

Returns the attribute with the given index.

ATTRIBUTE_NAME - adams.flow.transformer.WekaInstancesInfo.InfoType

the name of the attribute (at specified index).

ATTRIBUTE_NAME - Static variable in class adams.flow.transformer.WekaInstanceEvaluator

the default name of the attribute with the evaluation value.

ATTRIBUTE_NAMES - adams.flow.transformer.WekaInstancesInfo.InfoType

the names of all attributes.

ATTRIBUTE_NAMES_SORTED - Static variable in class adams.gui.event.WekaInvestigatorDataEvent

sort attribute names.

ATTRIBUTE_PREFIX - Static variable in class adams.flow.source.WekaNewInstances

the prefix for attributes (if nto specified explicitly).

ATTRIBUTE_PREFIX - Static variable in class weka.classifiers.meta.ClassifierCascade

the prefix for the additional cascade attributes.

ATTRIBUTE_RANGE - Static variable in class weka.filters.unsupervised.attribute.SimpleDetrend

ATTRIBUTE_SELECTION - Static variable in class weka.filters.unsupervised.attribute.EquiDistance

the option for the attribute selection.

ATTRIBUTE_TYPE - adams.flow.transformer.WekaInstancesInfo.InfoType

the attribute type (selected attribute).

attributeAsClassAt(int) - Method in class adams.gui.visualization.instances.InstancesTableModel

sets the attribute at the given col index as the new class attribute, i.e.

attributeIndex - Variable in class adams.flow.transformer.wekadatasetsmerge.AbstractMerge.SourceAttribute

The index of the source attribute in the source dataset.

AttributeIndex - Class in adams.data.weka.classattribute

Uses the supplied attribute index to select the class attribute.

AttributeIndex - Class in adams.data.weka.relationname

Uses the name of the specified attribute as relation name.

AttributeIndex() - Constructor for class adams.data.weka.classattribute.AttributeIndex

AttributeIndex() - Constructor for class adams.data.weka.relationname.AttributeIndex

attributeIndexTipText() - Method in class adams.data.weka.rowfinder.ByLabel

Returns the tip text for this property.

attributeIndexTipText() - Method in class adams.data.weka.rowfinder.ByNumericRange

Returns the tip text for this property.

attributeIndexTipText() - Method in class adams.data.weka.rowfinder.ByNumericValue

Returns the tip text for this property.

attributeIndexTipText() - Method in class adams.flow.transformer.WekaInstancesInfo

Returns the tip text for this property.

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

Returns the tip text for this property.

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

Returns the tip text for this property.

AttributeInfoPanel() - Constructor for class adams.gui.tools.wekainvestigator.tab.preprocesstab.AttributeSummaryPanel.AttributeInfoPanel

Initializes the widget.

attributeName - Variable in class adams.flow.transformer.wekadatasetsmerge.AbstractMerge.SourceAttribute

The name of the source attribute in the source dataset.

attributeNamesTipText() - Method in class adams.flow.source.WekaNewInstances

Returns the tip text for this property.

attributeNamesTipText() - Method in class weka.filters.unsupervised.attribute.MergeManyAttributes

Returns the tip text for this property.

attributeNameTipText() - Method in class adams.flow.transformer.WekaGetInstanceValue

Returns the tip text for this property.

attributeNameTipText() - Method in class weka.filters.unsupervised.instance.DatasetLabeler

Returns the tip text for this property.

attributeNameTipText() - Method in class weka.filters.unsupervised.instance.LatestRecords

Returns the tip text for this property.

attributePrefixTipText() - Method in class weka.filters.unsupervised.attribute.OuterProductAnalysis

Returns the tip text for this property.

attributeRangeTipText() - Method in class adams.data.instancesanalysis.FastICA

Returns the tip text for this property.

attributeRangeTipText() - Method in class adams.data.instancesanalysis.PCA

Returns the tip text for this property.

attributeRangeTipText() - Method in class adams.data.instancesanalysis.PLS

Returns the tip text for this property.

attributeRangeTipText() - Method in class adams.data.weka.rowfinder.FilteredIQR

Returns the tip text for this property.

attributeRangeTipText() - Method in class weka.filters.unsupervised.attribute.CorrelationMatrix

Returns the tip text for this property.

attributeRangeTipText() - Method in class weka.filters.unsupervised.attribute.InputSmearing

Returns the tip text for this property.

attributeRangeTipText() - Method in class weka.filters.unsupervised.attribute.JoinAttributes

Returns the tip text for this property.

attributeRangeTipText() - Method in class weka.filters.unsupervised.attribute.LogTransform

Returns the tip text for this property.

attributeRangeTipText() - Method in class weka.filters.unsupervised.attribute.SetMissingValue

Returns the tip text for this property.

attributeRangeTipText() - Method in class weka.filters.unsupervised.attribute.SimpleDetrend

Returns the tip text for this property.

attributeRenamesExpTipText() - Method in class adams.flow.transformer.wekadatasetsmerge.AbstractMerge

Gets the tip-text for the attribute-renaming regexs option.

attributeRenamesFormatTipText() - Method in class adams.flow.transformer.wekadatasetsmerge.AbstractMerge

Gets the tip-text for the attribute renaming format strings option.

ATTRIBUTES_NAMES_UNSORTED - Static variable in class adams.gui.event.WekaInvestigatorDataEvent

don't sort attribute names.

AttributeSelection - Class in adams.opt.optimise.genetic.fitnessfunctions

Perform attribute selection using WEKA classification.

AttributeSelection() - Constructor for class adams.opt.optimise.genetic.fitnessfunctions.AttributeSelection

AttributeSelectionHandler - Class in weka.gui.explorer

Manages the AttributeSelectionPanel.

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

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

Returns the tip text for this property

AttributeSelectionPanel - Class in adams.gui.tools.wekainvestigator.tab.preprocesstab

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

AttributeSelectionPanel() - Constructor for class adams.gui.tools.wekainvestigator.tab.preprocesstab.AttributeSelectionPanel

AttributeSelectionPanel.AttributeTableModel - Class in adams.gui.tools.wekainvestigator.tab.preprocesstab

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

AttributeSelectionTab - Class in adams.gui.tools.wekainvestigator.tab

Tab for attribute selection.

AttributeSelectionTab() - Constructor for class adams.gui.tools.wekainvestigator.tab.AttributeSelectionTab

AttributeSelectionTab.HistoryPanel - Class in adams.gui.tools.wekainvestigator.tab

Customized history panel.

attributeSelectionTipText() - Method in class weka.filters.unsupervised.attribute.EquiDistance

Returns the tip text for this property.

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

Returns the attribute with the given index in the sparse representation.

AttributeStatistics - Class in adams.gui.visualization.instances.instancestable

Displays statistics for the selected attribute.

AttributeStatistics() - Constructor for class adams.gui.visualization.instances.instancestable.AttributeStatistics

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

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

attributesTipText() - Method in class adams.flow.transformer.WekaInstanceStreamPlotGenerator

Returns the tip text for this property.

AttributeSummaryPanel - Class in adams.gui.tools.wekainvestigator.tab.preprocesstab

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

AttributeSummaryPanel() - Constructor for class adams.gui.tools.wekainvestigator.tab.preprocesstab.AttributeSummaryPanel

Creates the instances panel with no initial instances.

AttributeSummaryPanel.AttributeInfoPanel - Class in adams.gui.tools.wekainvestigator.tab.preprocesstab

Panel with labels displaying some basic info.

AttributeSummaryPanel.StatisticsTable - Class in adams.gui.tools.wekainvestigator.tab.preprocesstab

Displays other stats in a table.

AttributeSummaryTransferFilter - Class in weka.filters.unsupervised.attribute

Filter which trains another filter to summarise a sub-set of the data's attributes.

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

AttributeTableModel(Instances) - Constructor for class adams.gui.tools.wekainvestigator.tab.preprocesstab.AttributeSelectionPanel.AttributeTableModel

Creates the tablemodel with the given set of instances.

attributeTipText() - Method in class weka.classifiers.meta.AbstainAttributePercentile

AttributeTypeList - Class in adams.core.base

Wrapper for a comma-separated list of attribute types.

AttributeTypeList() - Constructor for class adams.core.base.AttributeTypeList

Initializes the list with length 0.

AttributeTypeList(String) - Constructor for class adams.core.base.AttributeTypeList

Initializes the object with the string to parse.

attributeTypesTipText() - Method in class adams.flow.source.WekaNewInstances

Returns the tip text for this property.

AttributeValueCellRenderer - Class in adams.gui.visualization.instances

Handles the background colors for missing values differently than the DefaultTableCellRenderer.

AttributeValueCellRenderer() - Constructor for class adams.gui.visualization.instances.AttributeValueCellRenderer

initializes the Renderer with a standard color

AttributeValueCellRenderer(Color, Color) - Constructor for class adams.gui.visualization.instances.AttributeValueCellRenderer

initializes the Renderer with the given colors

AttributeVisualizationPanel - Class in adams.gui.tools.wekainvestigator.tab.preprocesstab

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

AttributeVisualizationPanel() - Constructor for class adams.gui.tools.wekainvestigator.tab.preprocesstab.AttributeVisualizationPanel

Constructor - If used then the class will not show the class selection combo box.

AttributeVisualizationPanel(boolean) - Constructor for class adams.gui.tools.wekainvestigator.tab.preprocesstab.AttributeVisualizationPanel

Constructor.

AttributeVisualizationPanel.BarCalc - Class in adams.gui.tools.wekainvestigator.tab.preprocesstab

Internal class that calculates the barplot to display, in a separate thread.

AttributeVisualizationPanel.HistCalc - Class in adams.gui.tools.wekainvestigator.tab.preprocesstab

Internal class that calculates the histogram to display, in a separate thread.

attributeXTipText() - Method in class adams.flow.sink.WekaInstancesPlot

Returns the tip text for this property.

attributeXTipText() - Method in class adams.flow.sink.WekaThresholdCurve

Returns the tip text for this property.

attributeXTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyThresholdCurve

Returns the tip text for this property.

attributeYTipText() - Method in class adams.flow.sink.WekaInstancesPlot

Returns the tip text for this property.

attributeYTipText() - Method in class adams.flow.sink.WekaThresholdCurve

Returns the tip text for this property.

attributeYTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyThresholdCurve

Returns the tip text for this property.

AUTO - weka.classifiers.trees.XGBoost.TreeMethod

autoKeyGenerationTipText() - Method in class adams.flow.sink.WekaDatabaseWriter

Returns the tip text for this property.

automaticOrderInfo() - Method in class adams.flow.core.WekaFilterModelLoader

Returns information how the model is loaded in case of AbstractModelLoader.ModelLoadingType.AUTO.

AutoScaler - Class in adams.data.weka.predictions

Applies the specified numeric scaler to the data in case of a numeric class attribute, otherwise just passes on the data.

AutoScaler() - Constructor for class adams.data.weka.predictions.AutoScaler

AVAILABLE - adams.flow.source.wekapackagemanageraction.ListPackages.ListType

Average - Class in weka.filters.unsupervised.instance.multirowprocessor.processor

Computes the average of the numeric attributes defined in the range.

Average() - Constructor for class weka.filters.unsupervised.instance.multirowprocessor.processor.Average

AVERAGE - weka.classifiers.meta.ClassifierCascade.Combination

average the probabilities/classifications.

AVERAGE_RULE - adams.flow.transformer.wekaclassifiersetupprocessor.VotedPairs.VotingType

AVERAGE_RULE - Static variable in class weka.classifiers.meta.AbstainVote

combination rule: Average of Probabilities

AverageSilhouetteCoefficient - Class in adams.flow.transformer.wekaclusterer

Computes the average Silhouette coefficient for the clusters.

AverageSilhouetteCoefficient() - Constructor for class adams.flow.transformer.wekaclusterer.AverageSilhouetteCoefficient

axisXTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated.SamplePlot

Returns the tip text for this property.

axisYTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated.SamplePlot

Returns the tip text for this property.

B

BACKUP_ACCUMULATEDERROR - Static variable in class adams.flow.transformer.WekaAccumulatedError

the key for storing the current accumulated error in the backup.

BACKUP_ATTRIBUTESTOPROCESS - Static variable in class adams.flow.transformer.WekaMultiLabelSplitter

the key for storing the current attributes to process in the backup.

BACKUP_BUFFER - Static variable in class adams.flow.transformer.WekaInstanceBuffer

the key for storing the current buffer in the backup.

BACKUP_BUFFER - Static variable in class adams.flow.transformer.WekaInstanceDumper

the key for storing the buffer in the backup.

BACKUP_CALLABLEACTOR - Static variable in class adams.flow.transformer.WekaGeneticAlgorithm

the key for backing up the callable actor.

BACKUP_CLASSATTRIBUTES - Static variable in class adams.flow.transformer.WekaMultiLabelSplitter

the key for storing the current class attributes in the backup.

BACKUP_CLaSSIFIER - Static variable in class adams.flow.transformer.WekaStreamEvaluator

the backup key for the classifier.

BACKUP_CONFIGURED - Static variable in class adams.flow.transformer.WekaGeneticAlgorithm

the key for backing up the configured state.

BACKUP_COUNTER - Static variable in class adams.flow.transformer.WekaInstanceDumper

the key for storing the counter in the backup.

BACKUP_CURRENT - Static variable in class adams.flow.transformer.WekaStreamEvaluator

the backup key for the current counter.

BACKUP_EVALUATION - Static variable in class adams.flow.transformer.WekaAggregateEvaluations

the key for storing the current accumulated error in the backup.

BACKUP_EVALUATION - Static variable in class adams.flow.transformer.WekaStreamEvaluator

the backup key for the evaluation.

BACKUP_GENERATOR - Static variable in class adams.flow.transformer.WekaCrossValidationSplit

the key for storing the current fold in the backup.

BACKUP_HEADER - Static variable in class adams.flow.transformer.WekaInstanceDumper

the key for storing the header in the backup.

BACKUP_HEADER - Static variable in class adams.flow.transformer.WekaStreamEvaluator

the backup key for the current header.

BACKUP_INCREMENTALCLASSIFIER - Static variable in class adams.flow.transformer.WekaTrainClassifier

the key for storing the current incremental classifier in the backup.

BACKUP_INCREMENTALCLUSTERER - Static variable in class adams.flow.transformer.WekaTrainClusterer

the key for storing the current incremental clusterer in the backup.

BACKUP_INITIALIZED - Static variable in class adams.flow.transformer.WekaFilter

the key for storing the current initialized state in the backup.

BACKUP_INITIALIZED - Static variable in class adams.flow.transformer.WekaStreamFilter

the key for storing the current initialized state in the backup.

BACKUP_ITERATOR - Static variable in class adams.flow.transformer.WekaInstanceBuffer

the key for storing the current iterator in the backup.

BACKUP_MODEL - Static variable in class adams.flow.transformer.AbstractProcessWekaInstanceWithModel

the key for storing the current model in the backup.

BACKUP_NUMPREDICTIONS - Static variable in class adams.flow.transformer.WekaAccumulatedError

the key for storing the current number of predictions in the backup.

BACKUP_PREDICTIONS - Static variable in class adams.flow.transformer.WekaAccumulatedError

the key for storing the current predictions in the backup.

BACKUP_REFERENCE - Static variable in class adams.flow.transformer.WekaReorderAttributesToReference

the key for storing the reference dataset in the backup.

BACKUP_REORDER - Static variable in class adams.flow.transformer.WekaReorderAttributesToReference

the key for storing the reorder filter in the backup.

BACKUP_SAVER - Static variable in class adams.flow.sink.WekaDatabaseWriter

the key for storing the current incremental clusterer in the backup.

BACKUP_SEARCH - Static variable in class adams.flow.transformer.WekaNearestNeighborSearch

the key for storing the current initialized state in the backup.

BACKUP_SOURCE - Static variable in class adams.flow.transformer.WekaFileReader

the key for storing the current source in the backup.

BACKUP_STRUCTURE - Static variable in class adams.flow.transformer.WekaFileReader

the key for storing the current structure in the backup.

backupSelection() - Method in class adams.gui.tools.wekainvestigator.tab.AbstractInvestigatorTabWithDataTable

Returns the data containers that are currently selected.

backupState() - Method in class adams.flow.sink.WekaDatabaseWriter

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.AbstractProcessWekaInstanceWithModel

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.WekaAccumulatedError

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.WekaAggregateEvaluations

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.WekaCrossValidationSplit

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.WekaFileReader

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.WekaFilter

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.WekaGeneticAlgorithm

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.WekaInstanceBuffer

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.WekaInstanceDumper

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.WekaMultiLabelSplitter

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.WekaNearestNeighborSearch

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.WekaReorderAttributesToReference

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.WekaStreamEvaluator

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.WekaStreamFilter

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.WekaTrainClassifier

Backs up the current state of the actor before update the variables.

backupState() - Method in class adams.flow.transformer.WekaTrainClusterer

Backs up the current state of the actor before update the variables.

BarCalc(int, int) - Constructor for class adams.gui.tools.wekainvestigator.tab.preprocesstab.AttributeVisualizationPanel.BarCalc

baseScoreTipText() - Method in class weka.classifiers.trees.XGBoost

Gets the tip-text for the baseScore option.

baseTipText() - Method in class adams.data.instancesanalysis.pls.OPLS

Returns the tip text for this property

baseTipText() - Method in class weka.classifiers.meta.Fallback

Returns the tip text for this property.

BasicAdamsSetupPanel - Class in adams.gui.tools.wekamultiexperimenter.setup

Basic interface for setting up an ADAMS experiment.

BasicAdamsSetupPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.setup.BasicAdamsSetupPanel

BasicWekaSetupPanel - Class in adams.gui.tools.wekamultiexperimenter.setup

Basic interface for setting up a Weka experiment.

BasicWekaSetupPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.setup.BasicWekaSetupPanel

batchFilter(String[], Filter, String, boolean, File) - Method in class adams.gui.tools.weka.BatchFilterDatasetsPanel

Performs the batch filtering.

BatchFilterDatasets - Class in adams.gui.menu

For batch filtering datasets using a single filter setup (files get output into a different directory).

BatchFilterDatasets() - Constructor for class adams.gui.menu.BatchFilterDatasets

Initializes the menu item with no owner.

BatchFilterDatasets(AbstractApplicationFrame) - Constructor for class adams.gui.menu.BatchFilterDatasets

Initializes the menu item.

BatchFilterDatasetsPanel - Class in adams.gui.tools.weka

Wizard panel that allows appending datasets (one after the other).

BatchFilterDatasetsPanel(boolean) - Constructor for class adams.gui.tools.weka.BatchFilterDatasetsPanel

Initializes the panel.

BatchFilterJob(Filter, Instances) - Constructor for class adams.flow.transformer.WekaFilter.BatchFilterJob

Initializes the job.

batchFinished() - Method in class weka.filters.unsupervised.attribute.NormalizeAdaptive

Signify that this batch of input to the filter is finished.

batchFinished() - Method in class weka.filters.unsupervised.attribute.PrincipalComponentsJ

Signify that this batch of input to the filter is finished.

batchFinished() - Method in class weka.filters.unsupervised.instance.RemoveMisclassifiedAbs

Signify that this batch of input to the filter is finished.

batchFinished() - Method in class weka.filters.unsupervised.instance.RemoveMisclassifiedRel

Signify that this batch of input to the filter is finished.

batchSizeTipText() - Method in class weka.classifiers.functions.PyroProxy

Returns the tip text for this property.

BatchTrainJob(Classifier, Instances) - Constructor for class adams.flow.transformer.WekaTrainClassifier.BatchTrainJob

Initializes the job.

BatchTrainJob(Clusterer, Instances, AbstractClustererPostProcessor) - Constructor for class adams.flow.transformer.WekaTrainClusterer.BatchTrainJob

Initializes the job.

BayesNetEditor - Class in adams.gui.menu

Opens the BayesNet Editor.

BayesNetEditor() - Constructor for class adams.gui.menu.BayesNetEditor

Initializes the menu item with no owner.

BayesNetEditor(AbstractApplicationFrame) - Constructor for class adams.gui.menu.BayesNetEditor

Initializes the menu item.

beforeShow() - Method in class adams.gui.goe.WekaGenericArrayEditorDialog

Hook method just before the dialog is made visible.

beforeShow() - Method in class adams.gui.goe.WekaGenericObjectEditorDialog

Hook method just before the dialog is made visible.

beforeShow() - Method in class adams.gui.InstanceCompare

Hook method just before the dialog is made visible.

beforeShow() - Method in class adams.gui.visualization.instance.LoadDatasetDialog

Hook method just before the dialog is made visible.

BELOW - weka.classifiers.meta.ClassifierCascade.ThresholdCheck

BestBinnedNumericClassRandomSplitGenerator - Class in weka.classifiers

Picks the best binning algorithm from the provided ones.

BestBinnedNumericClassRandomSplitGenerator() - Constructor for class weka.classifiers.BestBinnedNumericClassRandomSplitGenerator

bestRangeTipText() - Method in class adams.opt.optimise.genetic.AbstractGeneticAlgorithm

Returns the tip text for this property.

Bias - Class in weka.classifiers.evaluation

Computes the bias (mean error) for regression models.

Bias() - Constructor for class weka.classifiers.evaluation.Bias

BIAS - adams.flow.core.EvaluationStatistic

BIAS - adams.flow.core.ExperimentStatistic

biasTipText() - Method in class weka.classifiers.meta.VotedImbalance

Returns the tip text for this property.

BINARY_ATTRIBUTES - adams.flow.core.Capability

can handle binary attributes.

BINARY_CLASS - adams.flow.core.Capability

can handle binary classes.

binCalculationTipText() - Method in class adams.flow.transformer.WekaInstancesHistogramRanges

Returns the tip text for this property.

BinnableInstances - Class in adams.data.binning

Helper class for binning instances.

BinnableInstances() - Constructor for class adams.data.binning.BinnableInstances

BinnableInstances.ClassValueBinValueExtractor - Class in adams.data.binning

Uses the class value as bin value.

BinnableInstances.GroupedClassValueBinValueExtractor - Class in adams.data.binning

Uses the class value of the first instance in the group as bin value.

BinnableInstances.NumericClassGroupExtractor - Class in adams.data.binning

Group extractor for numeric class attributes (using string representation of values).

BinnableInstances.StringAttributeGroupExtractor - Class in adams.data.binning

Group extractor for string attributes.

BinnedNumericClassCrossValidationFoldGenerator - Class in weka.classifiers

Helper class for generating cross-validation folds.

BinnedNumericClassCrossValidationFoldGenerator() - Constructor for class weka.classifiers.BinnedNumericClassCrossValidationFoldGenerator

Initializes the generator.

BinnedNumericClassCrossValidationFoldGenerator(Instances, int, long, boolean) - Constructor for class weka.classifiers.BinnedNumericClassCrossValidationFoldGenerator

Initializes the generator.

BinnedNumericClassCrossValidationFoldGenerator(Instances, int, long, boolean, boolean, String) - Constructor for class weka.classifiers.BinnedNumericClassCrossValidationFoldGenerator

Initializes the generator.

BinnedNumericClassRandomSplitGenerator - Class in weka.classifiers

Generates random splits of datasets with numeric classes using a binning algorithm.

BinnedNumericClassRandomSplitGenerator() - Constructor for class weka.classifiers.BinnedNumericClassRandomSplitGenerator

Initializes the generator.

BinnedNumericClassRandomSplitGenerator(Instances, double) - Constructor for class weka.classifiers.BinnedNumericClassRandomSplitGenerator

Initializes the generator.

BinnedNumericClassRandomSplitGenerator(Instances, long, double) - Constructor for class weka.classifiers.BinnedNumericClassRandomSplitGenerator

Initializes the generator.

BinnedNumericClassRandomSplitGenerator(Instances, long, double, boolean) - Constructor for class weka.classifiers.BinnedNumericClassRandomSplitGenerator

Initializes the generator.

Binning - Class in adams.gui.visualization.instances.instancestable

Allows to perform binning of the values from a column or row.

Binning() - Constructor for class adams.gui.visualization.instances.instancestable.Binning

binsPointTipText() - Method in class weka.core.SAXDistance

Returns the tip text for this property.

binsPointTipText() - Method in class weka.filters.unsupervised.attribute.SAX

Returns the tip text for this property.

binWidthTipText() - Method in class adams.flow.transformer.WekaInstancesHistogramRanges

Returns the tip text for this property.

bitsPerGeneTipText() - Method in class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm

Returns the tip text for this property.

bitsTipText() - Method in class adams.opt.optimise.GeneticAlgorithm

Returns the tip text for this property.

bitsToMatrix(String, double, double, int, int, int, int) - Static method in class adams.core.discovery.genetic.WekaGeneticHelper

Convert bit string into weka Matrix

BITSTRING - Static variable in class weka.filters.supervised.attribute.SIMPLSMatrixFilterFromGeneticString

bitstringTipText() - Method in class weka.filters.supervised.attribute.SIMPLSMatrixFilterFromGeneticString

boosterTipText() - Method in class weka.classifiers.trees.XGBoost

Gets the tip-text for the booster option.

borderTipText() - Method in class weka.experiment.ResultMatrixMediaWiki

Returns the tip text for this property.

BOTH - adams.flow.transformer.WekaBootstrapping.ErrorCalculation

BoundaryVisualizer - Class in adams.gui.menu

Displays data in the boundary visualizer.

BoundaryVisualizer() - Constructor for class adams.gui.menu.BoundaryVisualizer

Initializes the menu item with no owner.

BoundaryVisualizer(AbstractApplicationFrame) - Constructor for class adams.gui.menu.BoundaryVisualizer

Initializes the menu item.

BOX - adams.gui.visualization.instance.InstanceLinePaintlet.MarkerShape

a square box.

BoxPlotTab - Class in adams.gui.tools.wekainvestigator.tab

Visualizes the selected dataset as box plot.

BoxPlotTab() - Constructor for class adams.gui.tools.wekainvestigator.tab.BoxPlotTab

bufferSizeTipText() - Method in class adams.flow.transformer.WekaInstanceDumper

Returns the tip text for this property.

build(Instance) - Method in class weka.classifiers.lazy.LWLDatasetBuilder

Constructs the weighted dataset.

build(Instance) - Method in class weka.classifiers.lazy.LWLSynchro

Builds the classifier.

build(Instance) - Method in class weka.classifiers.lazy.LWLSynchroPrefilter

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.functions.ClassificationViaPLS

Generates a classifier.

buildClassifier(Instances) - Method in class weka.classifiers.functions.FakeClassifier

Generates a classifier.

buildClassifier(Instances) - Method in class weka.classifiers.functions.FromPredictions

Just loads the predictions.

buildClassifier(Instances) - Method in class weka.classifiers.functions.GaussianProcessesAdaptive

buildClassifier(Instances) - Method in class weka.classifiers.functions.GaussianProcessesNoWeights

Method for building the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.functions.GaussianProcessesWeighted

Method for building the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.functions.GeneticAlgorithm

Generates a classifier.

buildClassifier(Instances) - Method in class weka.classifiers.functions.GPD

Method for building the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.functions.LinearRegressionJ

Builds a regression model for the given data.

buildClassifier(Instances) - Method in class weka.classifiers.functions.MathExpressionClassifier

Builds the classifier on the training data.

buildClassifier(Instances) - Method in class weka.classifiers.functions.PLSClassifierWeighted

builds the classifier

buildClassifier(Instances) - Method in class weka.classifiers.functions.PLSWeighted

builds the classifier

buildClassifier(Instances) - Method in class weka.classifiers.functions.PyroProxy

Generates a classifier.

buildClassifier(Instances) - Method in class weka.classifiers.functions.SimpleLinearRegressionWithAccess

Builds a simple linear regression model given the supplied training data.

buildClassifier(Instances) - Method in class weka.classifiers.lazy.AbstainingLWL

Generates the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.AbstainAttributePercentile

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.AbstainAverage

Buildclassifier builds all sub-classifiers

buildClassifier(Instances) - Method in class weka.classifiers.meta.AbstainAverageWithClassifierWeights

Buildclassifier builds all sub-classifiers

buildClassifier(Instances) - Method in class weka.classifiers.meta.AbstainingCascade

Builds the ensemble.

buildClassifier(Instances) - Method in class weka.classifiers.meta.AbstainingClassifierWrapper

Generates a classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.AbstainLeastMedianSq

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.AbstainMinimumProbability

Generates a classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.AbstainVote

Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.

buildClassifier(Instances) - Method in class weka.classifiers.meta.ClassificationViaRegressionD

Builds the classifiers.

buildClassifier(Instances) - Method in class weka.classifiers.meta.ClassifierCascade

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.Consensus

Generates a classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.ConsensusOrVote

Builds the ensemble.

buildClassifier(Instances) - Method in class weka.classifiers.meta.Corr

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.Fallback

Generates a classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.FilteredClassifierExt

Build the classifier on the filtered data.

buildClassifier(Instances) - Method in class weka.classifiers.meta.HighLowSplit

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.HighLowSplitSingleClassifier

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.LeastMedianSq

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.LogClassRegressor

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.LogTargetRegressor

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.MinMaxLimits

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.PartitionedStacking

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.PeakTransformed

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.RangeCheck

Build the classifier on the filtered data.

buildClassifier(Instances) - Method in class weka.classifiers.meta.SocketFacade

Generates a classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.SubsetEnsemble

Stump method for building the classifiers

buildClassifier(Instances) - Method in class weka.classifiers.meta.SumTransformed

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.SuppressModelOutput

Builds the base classifier using the provided data.

buildClassifier(Instances) - Method in class weka.classifiers.meta.ThreadSafeClassifierWrapper

Generates a classifier.

buildClassifier(Instances) - Method in class weka.classifiers.meta.ThresholdedBinaryClassification

Builds the classifier with the training data.

buildClassifier(Instances) - Method in class weka.classifiers.meta.Veto

Builds the ensemble.

buildClassifier(Instances) - Method in class weka.classifiers.meta.VotedImbalance

Stump method for building the classifiers

buildClassifier(Instances) - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper

Generates a classifier.

buildClassifier(Instances) - Method in class weka.classifiers.trees.m5.M5Base2

Generates the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.trees.m5.Rule2

Generates a single rule or m5 model tree.

buildClassifier(Instances) - Method in class weka.classifiers.trees.m5.RuleNode2

Build this node (find an attribute and split point)

buildClassifier(Instances) - Method in class weka.classifiers.trees.RandomModelTrees

buildClassifier(Instances) - Method in class weka.classifiers.trees.RandomRegressionForest

builds the classifier

buildClassifier(Instances) - Method in class weka.classifiers.trees.XGBoost

Trains the XGBoost classifier on the incoming dataset.

buildClassifier2(Instances) - Method in class weka.classifiers.functions.GaussianProcessesAdaptive

Method for building the classifier.

buildClassifiers() - Method in class weka.classifiers.meta.SubsetEnsemble

Does the actual construction of the ensemble.

buildClassifiers() - Method in class weka.classifiers.meta.VotedImbalance

Does the actual construction of the ensemble.

buildClassifiers(Instances) - Method in class weka.classifiers.meta.PartitionedStacking

Does the actual construction of the base-classifiers.

buildClusterer(Instances) - Method in class weka.clusterers.SAXKMeans

Generates a clusterer.

buildEvaluator(Instances) - Method in class weka.attributeSelection.AbstractPLSAttributeEval

Generates a attribute evaluator.

buildEvaluator(Instances) - Method in class weka.attributeSelection.LinearRegressionAttributeEval

Generates a attribute evaluator.

buildFilter(double, int) - Method in class weka.core.neighboursearch.PCANNSearch

buildFilter(int) - Method in class weka.core.neighboursearch.PLSNNSearch

BuildModel - Class in adams.gui.tools.wekainvestigator.tab.classifytab.evaluation

Builds a model and serializes it to a file.

BuildModel - Class in adams.gui.tools.wekainvestigator.tab.clustertab.evaluation

Builds a model and serializes it to a file.

BuildModel() - Constructor for class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.BuildModel

BuildModel() - Constructor for class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.BuildModel

buildRegressionTreeTipText() - Method in class weka.classifiers.trees.m5.M5Base2

Returns the tip text for this property

buildWaitTipText() - Method in class weka.classifiers.functions.FakeClassifier

Returns the tip text for this property.

ByExactName - Class in adams.data.weka.classattribute

Returns indices of columns which names match the exact name.

ByExactName - Class in adams.data.weka.columnfinder

Returns indices of columns which names match the exact name.

ByExactName() - Constructor for class adams.data.weka.classattribute.ByExactName

ByExactName() - Constructor for class adams.data.weka.columnfinder.ByExactName

ByLabel - Class in adams.data.weka.rowfinder

Returns the indices of rows which attributes labels match the provided regular expression.

ByLabel() - Constructor for class adams.data.weka.rowfinder.ByLabel

ByName - Class in adams.data.weka.classattribute

The first attribute name that matches the regular expression is used as class attribute.

ByName - Class in adams.data.weka.columnfinder

Returns indices of attributes which names match the regular expression.

ByName() - Constructor for class adams.data.weka.classattribute.ByName

ByName() - Constructor for class adams.data.weka.columnfinder.ByName

ByNumericRange - Class in adams.data.weka.rowfinder

Returns indices of rows which numeric value match the min/max.

ByNumericRange() - Constructor for class adams.data.weka.rowfinder.ByNumericRange

ByNumericValue - Class in adams.data.weka.rowfinder

Returns indices of rows which numeric value match the min/max.

ByNumericValue() - Constructor for class adams.data.weka.rowfinder.ByNumericValue

C

calcAverageWidth(double[][]) - Static method in class adams.data.weka.evaluator.IntervalEstimatorBased

Calculates the average width of the intervals.

calcDistribution(List<Binnable<Instance>>, double) - Method in class weka.classifiers.BestBinnedNumericClassRandomSplitGenerator

Calculates the class distribution.

calcFitness() - Method in class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm

Calculates the fitness of the population.

calcFitness() - Method in class adams.opt.optimise.genetic.AbstractGeneticAlgorithm

Override the following function in sub-classes.

calcFitness() - Method in class adams.opt.optimise.GeneticAlgorithm

Calculates the fitness of the population.

calcGraph(int, int) - Method in class adams.gui.tools.wekainvestigator.tab.preprocesstab.AttributeVisualizationPanel

Recalculates the barplot or histogram to display, required usually when the attribute is changed or the component is resized.

calcNewFitness() - Method in class adams.opt.genetic.DarkLord.DarkLordJob

Calculates the new fitness.

calcNewFitness() - Method in class adams.opt.genetic.Hermione.HermioneJob

Calculates the new fitness.

calcNewFitness(FitnessFunction, int[]) - Method in class adams.opt.optimise.GeneticAlgorithm

Calculates the new fitness.

calcNumBits() - Method in class adams.core.discovery.genetic.AbstractGeneticDoubleMatrixDiscoveryHandler

Calculates the number of bits to use.

calcNumBits() - Method in class weka.filters.supervised.attribute.SIMPLSMatrixFilterFromGeneticString

Calculates the number of bits to use.

calcStats(WekaEvaluationContainer[], SpreadSheet, MessageCollection, CenterStatistic, LowerStatistic, UpperStatistic, int, Logger, TIntList, boolean) - Static method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated.PredictionUtils

Generates a spreadsheet with the statistics.

calcStats(ResultItem, MessageCollection, CenterStatistic, LowerStatistic, UpperStatistic, int, Logger, TIntList) - Static method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated.PredictionUtils

Generates a spreadsheet with the statistics.

calcStats(ResultItem, MessageCollection, CenterStatistic, LowerStatistic, UpperStatistic, int, Logger, TIntList, boolean) - Static method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated.PredictionUtils

Generates a spreadsheet with the statistics.

calculate() - Method in class adams.ml.data.DataCellView

Does nothing.

calculate() - Method in class adams.ml.data.InstancesView

Triggers all formula cells to recalculate their values.

calculateCenters(Instances, Clusterer, Instances) - Method in class adams.flow.transformer.wekaclusterer.ClusterCenters

Calculates the centers.

calculateDistance(Instance, Instance) - Method in class weka.filters.unsupervised.instance.KennardStone

Calculate the distance between any two instances.

calculateModelSize() - Method in class adams.gui.tools.wekainvestigator.InvestigatorPanel

Returns whether model sizes should get calculated.

calculateSE(boolean[], double[]) - Method in class weka.classifiers.functions.LinearRegressionJ

Calculate the squared error of a regression model on the training data

calculateStatistics(Instances, Clusterer, Instances) - Method in class adams.flow.transformer.wekaclusterer.ClusterStatistics

Calculates the statistics.

calcWidth(double[]) - Static method in class adams.data.weka.evaluator.IntervalEstimatorBased

Calculates the width of the interval.

callableNameTipText() - Method in class adams.flow.transformer.WekaGeneticAlgorithm

Returns the tip text for this property.

canAbstain() - Method in interface weka.classifiers.AbstainingClassifier

Whether abstaining is possible, e.g., used in meta-classifiers.

canAbstain() - Method in class weka.classifiers.lazy.AbstainingLWL

Whether abstaining is possible, e.g., used in meta-classifiers.

canAbstain() - Method in class weka.classifiers.meta.AbstainAttributePercentile

Whether abstaining is possible, e.g., used in meta-classifiers.

canAbstain() - Method in class weka.classifiers.meta.AbstainAverage

Whether abstaining is possible, e.g., used in meta-classifiers.

canAbstain() - Method in class weka.classifiers.meta.AbstainAverageWithClassifierWeights

Whether abstaining is possible, e.g., used in meta-classifiers.

canAbstain() - Method in class weka.classifiers.meta.AbstainingClassifierWrapper

Whether abstaining is possible, e.g., used in meta-classifiers.

canAbstain() - Method in class weka.classifiers.meta.AbstainLeastMedianSq

Whether abstaining is possible, e.g., used in meta-classifiers.

canAbstain() - Method in class weka.classifiers.meta.AbstainMinimumProbability

Whether abstaining is possible, e.g., used in meta-classifiers.

canAbstain() - Method in class weka.classifiers.meta.AbstainVote

Whether abstaining is possible, e.g., used in meta-classifiers.

canAbstain() - Method in class weka.classifiers.meta.Consensus

Whether abstaining is possible, e.g., used in meta-classifiers.

canAbstain() - Method in class weka.classifiers.meta.ConsensusOrVote

Whether abstaining is possible, e.g., used in meta-classifiers.

canAbstain() - Method in class weka.classifiers.meta.FilteredClassifierExt

Whether abstaining is possible, e.g., used in meta-classifiers.

canAbstain() - Method in class weka.classifiers.meta.MinMaxLimits

Whether abstaining is possible, e.g., used in meta-classifiers.

canAbstain() - Method in class weka.classifiers.meta.ThreadSafeClassifierWrapper

Whether abstaining is possible, e.g., used in meta-classifiers.

CANCEL_OPTION - Static variable in class adams.gui.goe.WekaGenericArrayEditorDialog

constant for dialog cancellation.

CANCEL_OPTION - Static variable in class adams.gui.goe.WekaGenericObjectEditorDialog

constant for dialog cancellation.

canCopyToClipboard() - Method in class adams.gui.tools.wekainvestigator.output.AbstractOutputPanelWithPopupMenu

Returns whether copying to the clipboard is supported.

canCopyToClipboard() - Method in class adams.gui.tools.wekainvestigator.output.ComponentContentPanel

Returns whether copying to the clipboard is supported.

canCopyToClipboard() - Method in class adams.gui.tools.wekainvestigator.output.TableContentPanel

Returns whether copying to the clipboard is supported.

canCopyToClipboard() - Method in class adams.gui.tools.wekainvestigator.output.TextualContentPanel

Returns whether copying to the clipboard is supported.

canEdit() - Method in class weka.gui.explorer.ExplorerExt

Checks whether editing the data is possible.

canEvaluate(Associator) - Method in class adams.gui.tools.wekainvestigator.tab.associatetab.evaluation.AbstractAssociatorEvaluation

Tests whether the associator can be evaluated.

canEvaluate(Associator) - Method in class adams.gui.tools.wekainvestigator.tab.associatetab.evaluation.Train

Tests whether the associator can be evaluated.

canEvaluate(ASEvaluation, ASSearch) - Method in class adams.gui.tools.wekainvestigator.tab.attseltab.evaluation.AbstractAttributeSelectionEvaluation

Tests whether attribute selection can be performed.

canEvaluate(ASEvaluation, ASSearch) - Method in class adams.gui.tools.wekainvestigator.tab.attseltab.evaluation.CrossValidation

Tests whether attribute selection can be performed.

canEvaluate(ASEvaluation, ASSearch) - Method in class adams.gui.tools.wekainvestigator.tab.attseltab.evaluation.Train

Tests whether attribute selection can be performed.

canEvaluate(Classifier) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.AbstractClassifierEvaluation

Tests whether the classifier can be evaluated.

canEvaluate(Classifier) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.BuildModel

Tests whether the classifier can be evaluated.

canEvaluate(Classifier) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.CrossValidation

Tests whether the classifier can be evaluated.

canEvaluate(Classifier) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.FromPredictions

Tests whether the classifier can be evaluated.

canEvaluate(Classifier) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.IndexedSplitsRunsEvaluation

Tests whether the classifier can be evaluated.

canEvaluate(Classifier) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.ReevaluateModel

Tests whether the classifier can be evaluated.

canEvaluate(Classifier) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.RepeatedCrossValidation

Tests whether the classifier can be evaluated.

canEvaluate(Classifier) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.TrainTestSet

Tests whether the classifier can be evaluated.

canEvaluate(Classifier) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.TrainTestSplit

Tests whether the classifier can be evaluated.

canEvaluate(Classifier) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.TrainValidateTestSet

Tests whether the classifier can be evaluated.

canEvaluate(Clusterer) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.AbstractClustererEvaluation

Tests whether the clusterer can be evaluated.

canEvaluate(Clusterer) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.BuildModel

Tests whether the clusterer can be evaluated.

canEvaluate(Clusterer) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.ClassesToClusters

Tests whether the clusterer can be evaluated.

canEvaluate(Clusterer) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.CrossValidation

Tests whether the clusterer can be evaluated.

canEvaluate(Clusterer) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.ReevaluateModel

Tests whether the clusterer can be evaluated.

canEvaluate(Clusterer) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.TrainTestSet

Tests whether the clusterer can be evaluated.

canEvaluate(Clusterer) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.TrainTestSplit

Tests whether the clusterer can be evaluated.

canExecute(Classifier) - Method in class adams.gui.tools.wekainvestigator.tab.experimenttab.setup.AbstractExperimentSetup

Tests whether the experiment setup can be executed for the classifier.

canExecute(Classifier) - Method in class adams.gui.tools.wekainvestigator.tab.experimenttab.setup.CrossValidationSetup

Tests whether the experiment setup can be executed for the classifier.

canExecute(Classifier) - Method in class adams.gui.tools.wekainvestigator.tab.experimenttab.setup.TrainTestSplitSetup

Tests whether the experiment setup can be executed for the classifier.

canFilter() - Method in class adams.gui.tools.wekainvestigator.tab.PreprocessTab

Checks whether data can be filtered.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.associatetab.output.ModelOutput

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.associatetab.output.Rules

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.associatetab.output.RunInformation

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.attseltab.output.ReducedData

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.attseltab.output.RunInformation

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.attseltab.output.TextStatistics

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ClassifierErrors

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ConfusionMatrix

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.FourInOnePlot

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.GraphSource

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyClassifierErrors

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyCostBenefitAnalysis

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyCostCurve

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyGraphVisualizer

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyMarginCurve

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyThresholdCurve

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyTreeVisualizer

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ModelOutput

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.PredictionEccentricity

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.Predictions

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.PredictionTrend

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated.Predictions

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated.SamplePlot

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated.Statistics

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ResidualsVsFitted

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ResidualsVsPredictor

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.RunInformation

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.SourceCode

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.TextStatistics

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.TreeGraphML

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.TreeVisualizer

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.output.ClusterAssignments

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.output.GraphSource

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.output.LegacyTreeVisualizer

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.output.ModelOutput

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.output.RunInformation

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.output.Supplementary

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.output.TextStatistics

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.experimenttab.output.RunInformation

Checks whether output can be generated from this item.

canGenerateOutput(ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.experimenttab.output.TextOutput

Checks whether output can be generated from this item.

canGenerateOutput(T) - Method in class adams.gui.tools.wekainvestigator.output.AbstractOutputGenerator

Checks whether output can be generated from this item.

canNotify(InstancePanel, InstanceContainer) - Method in class adams.gui.visualization.instance.SimpleInstancePanelUpdater

Checks whether all conditions are met to notify the listeners for changes in the plot.

CANOPY - Static variable in class weka.clusterers.SAXKMeans

canopyInit(Instances) - Method in class weka.clusterers.SAXKMeans

Initialize with the canopy centers of the Canopy clustering method

canopyMaxNumCanopiesToHoldInMemoryTipText() - Method in class weka.clusterers.SAXKMeans

Returns the tip text for this property.

canopyMinimumCanopyDensityTipText() - Method in class weka.clusterers.SAXKMeans

Returns the tip text for this property.

canopyPeriodicPruningRateTipText() - Method in class weka.clusterers.SAXKMeans

Returns the tip text for this property.

canopyT1TipText() - Method in class weka.clusterers.SAXKMeans

Tip text for this property

canopyT2TipText() - Method in class weka.clusterers.SAXKMeans

Tip text for this property

canPaint(Graphics) - Method in class adams.gui.visualization.instance.InstancePanel

Returns true if the paintlets can be executed.

canRandomize() - Method in class weka.classifiers.AbstractSplitGenerator

Returns whether randomization is enabled.

canRandomize() - Method in class weka.classifiers.BestBinnedNumericClassRandomSplitGenerator

Returns whether randomization is enabled.

canRandomize() - Method in class weka.classifiers.BinnedNumericClassCrossValidationFoldGenerator

Returns whether randomization is enabled.

canRandomize() - Method in class weka.classifiers.BinnedNumericClassRandomSplitGenerator

Returns whether randomization is enabled.

canRandomize() - Method in class weka.classifiers.DefaultCrossValidationFoldGenerator

Returns whether randomization is enabled.

canRandomize() - Method in class weka.classifiers.DefaultRandomSplitGenerator

Returns whether randomization is enabled.

canRandomize() - Method in class weka.classifiers.GroupedBinnedNumericClassCrossValidationFoldGenerator

Returns whether randomization is enabled.

canRandomize() - Method in class weka.classifiers.GroupedBinnedNumericClassRandomSplitGenerator

Returns whether randomization is enabled.

canRandomize() - Method in class weka.classifiers.GroupedCrossValidationFoldGenerator

Returns whether randomization is enabled.

canRandomize() - Method in class weka.classifiers.GroupedCrossValidationFoldGeneratorUsingNumericClassValues

Returns whether randomization is enabled.

canRandomize() - Method in class weka.classifiers.GroupedRandomSplitGenerator

Returns whether randomization is enabled.

canRandomize() - Method in class weka.classifiers.LeaveOneOutByValueGenerator

Returns whether randomization is enabled.

canRandomize() - Method in class weka.classifiers.MultiLevelSplitGenerator

Returns whether randomization is enabled.

canReload() - Method in class adams.gui.tools.wekainvestigator.data.DatabaseContainer

Whether it is possible to reload this item.

canReload() - Method in interface adams.gui.tools.wekainvestigator.data.DataContainer

Whether it is possible to reload this item.

canReload() - Method in class adams.gui.tools.wekainvestigator.data.DataGeneratorContainer

Whether it is possible to reload this item.

canReload() - Method in class adams.gui.tools.wekainvestigator.data.FileContainer

Whether it is possible to reload this item.

canReload() - Method in class adams.gui.tools.wekainvestigator.data.MemoryContainer

Whether it is possible to reload this item.

canReload() - Method in class adams.gui.tools.wekainvestigator.data.SpreadSheetContainer

Whether it is possible to reload this item.

canReload() - Method in class adams.gui.tools.wekainvestigator.data.TextDirectoryLoaderContainer

Whether it is possible to reload this item.

canRenderCached(Object, JPanel) - Method in class adams.gui.visualization.debug.objectrenderer.WekaInstancesRenderer

Checks whether the renderer can use a cached setup to render an object.

canReset() - Method in class adams.gui.application.WekaInvestigatorPreferencesPanel

Returns whether the panel supports resetting the options.

canRevert() - Method in class adams.gui.tools.wekainvestigator.datatable.action.Revert

Checks whether any selected container can be reverted.

canStartExecution() - Method in class adams.gui.tools.wekainvestigator.tab.AbstractInvestigatorTab

Returns whether a new job can be executed.

canSwap(PropertyPath.Path, PropertyDescriptor, Object, Object) - Method in class adams.data.conversion.SwapPLS

Checks whether a swap can be made.

canUndo() - Method in class adams.gui.visualization.instances.InstancesTable

returns whether an undo is possible, i.e.

canUndo() - Method in class adams.gui.visualization.instances.InstancesTableModel

returns whether an undo is possible, i.e.

canUndo() - Method in class weka.gui.explorer.ExplorerExt

Checks whether undo is possible.

canVisualize() - Method in class adams.gui.tools.wekainvestigator.tab.IndependentComponentsTab

Returns whether data can be visualized.

canVisualize() - Method in class adams.gui.tools.wekainvestigator.tab.InstanceTab

Returns whether data can be visualized.

canVisualize() - Method in class adams.gui.tools.wekainvestigator.tab.PartialLeastSquaresTab

Returns whether data can be visualized.

canVisualize() - Method in class adams.gui.tools.wekainvestigator.tab.PrincipalComponentsTab

Returns whether data can be visualized.

capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.ExperimentPanel

method gets called in case of a change event.

capabilitiesTipText() - Method in class adams.flow.condition.bool.AbstractAttributeCapabilities

Returns the tip text for this property.

Capability - Enum in adams.flow.core

Enumeration of all capabilities.

CC - adams.flow.transformer.WekaClassifierRanker.Measure

evaluation via: Correlation coefficient.

CC - adams.opt.genetic.Measure

Correlation coefficient.

CC - adams.opt.optimise.genetic.fitnessfunctions.AbstractWEKAFitnessFunction.Measure

evaluation via: Correlation coefficient.

cellKeys() - Method in class adams.ml.data.InstancesHeaderRow

Returns a collection of all stored cell keys.

cellKeys() - Method in class adams.ml.data.InstanceView

Returns a collection of all stored cell keys.

cellKeyToIndex(String) - Method in class adams.ml.data.InstancesHeaderRow

Turns the cellKey into a column index.

cellKeyToIndex(String) - Method in class adams.ml.data.InstancesView

Turns the cellKey into a column index.

cellKeyToIndex(String) - Method in class adams.ml.data.InstanceView

Turns the cellKey into a column index.

cellPaddingTipText() - Method in class weka.experiment.ResultMatrixMediaWiki

Returns the tip text for this property.

cellRenderingCustomizerTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ConfusionMatrix

Returns the tip text for this property.

cells() - Method in class adams.ml.data.InstancesHeaderRow

Returns all cells.

cells() - Method in class adams.ml.data.InstanceView

Returns all cells.

cellSpacingTipText() - Method in class weka.experiment.ResultMatrixMediaWiki

Returns the tip text for this property.

CENTER - adams.data.instancesanalysis.pls.PreprocessingType

centerClass(Instances) - Method in class weka.classifiers.trees.RandomRegressionForest

Centers the class value in the data.

centerDataTipText() - Method in class weka.filters.unsupervised.attribute.PrincipalComponentsJ

Returns the tip text for this property

CenterStatistic - Enum in adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated

Enumeration of available center statistics.

ChangeAttributeWeight - Class in adams.gui.visualization.instances.instancestable

Allows the user to change the weight of the selected attribute.

ChangeAttributeWeight() - Constructor for class adams.gui.visualization.instances.instancestable.ChangeAttributeWeight

changeColorProvider() - Method in class adams.gui.tools.wekainvestigator.tab.preprocesstab.AttributeVisualizationPanel

Lets the user choose another color provider.

changedUpdate(DocumentEvent) - Method in class adams.gui.tools.wekamultiexperimenter.setup.AbstractSetupPanel.ModificationDocumentListener

ChangeInstanceWeights - Class in adams.gui.visualization.instances.instancestable

Allows the user to change the weight of the selected attribute.

ChangeInstanceWeights() - Constructor for class adams.gui.visualization.instances.instancestable.ChangeInstanceWeights

charSetTipText() - Method in class adams.flow.transformer.WekaTextDirectoryReader

Returns the tip text for this property.

check() - Method in class adams.flow.source.wekapackagemanageraction.AbstractWekaPackageManagerAction

Hook method for performing checks.

check() - Method in class adams.flow.standalone.wekapackagemanageraction.AbstractWekaPackageManagerAction

Hook method for performing checks.

check(PlaceholderFile) - Method in class adams.data.io.input.AbstractAdamsExperimentReader

Performs checks.

check(WekaEvaluationContainer) - Method in class adams.flow.transformer.wekaevaluationpostprocessor.AbstractWekaEvaluationPostProcessor

Checks the container whether it can be processed.

check(WekaModelContainer) - Method in class adams.flow.transformer.wekaclusterer.AbstractClustererPostProcessor

Checks the model container.

check(WekaModelContainer) - Method in class adams.flow.transformer.wekaclusterer.AbstractClusterMembershipPostProcessor

Checks the model container.

check(AbstractExperiment) - Method in class adams.data.io.output.AbstractAdamsExperimentWriter

Performs checks.

check(InstancesTablePopupMenuItemHelper.TableState) - Method in class adams.gui.visualization.instances.instancestable.AbstractPlotColumn

Hook method for checks before attempting the plot.

check(InstancesTablePopupMenuItemHelper.TableState) - Method in class adams.gui.visualization.instances.instancestable.AbstractPlotRow

Hook method for checks before attempting the plot.

check(InstancesTablePopupMenuItemHelper.TableState) - Method in class adams.gui.visualization.instances.instancestable.AbstractPlotSelectedRows

Hook method for checks before attempting processing.

check(InstancesTablePopupMenuItemHelper.TableState) - Method in class adams.gui.visualization.instances.instancestable.AbstractProcessCell

Hook method for checks before attempting processing.

check(InstancesTablePopupMenuItemHelper.TableState) - Method in class adams.gui.visualization.instances.instancestable.AbstractProcessColumn

Hook method for checks before attempting processing.

check(InstancesTablePopupMenuItemHelper.TableState) - Method in class adams.gui.visualization.instances.instancestable.AbstractProcessRow

Hook method for checks before attempting processing.

check(InstancesTablePopupMenuItemHelper.TableState) - Method in class adams.gui.visualization.instances.instancestable.AbstractProcessSelectedRows

Hook method for checks before attempting processing.

check(Object) - Method in class adams.flow.transformer.indexedsplitsrunsgenerator.InstancesCrossValidationFoldGenerator

Checks whether the data can be processed.

check(Object) - Method in class adams.flow.transformer.indexedsplitsrunsgenerator.InstancesGroupedCrossValidationFoldGenerator

Checks whether the data can be processed.

check(Object) - Method in class adams.flow.transformer.wekaensemblegenerator.AbstractWekaEnsembleGenerator

Check method before generating the ensemble.

check(Object) - Method in class adams.flow.transformer.wekaensemblegenerator.MultiClassifiersCombinerModels

Check method before generating the ensemble.

check(Object) - Method in class adams.flow.transformer.wekaensemblegenerator.VotedModels

Check method before generating the ensemble.

check(Object) - Method in class adams.flow.transformer.wekapackagemanageraction.AbstractWekaPackageManagerAction

Hook method for performing checks.

check(List<Instance>) - Method in class weka.filters.unsupervised.instance.multirowprocessor.processor.AbstractSelectionProcessor

Hook method for performing checks.

check(Classifier[]) - Method in class adams.flow.transformer.wekaclassifiersetupprocessor.AbstractClassifierSetupProcessor

Hook method for performing checks on the classifiers.

check(Evaluation) - Method in class adams.flow.transformer.wekaevaluationpostprocessor.AbstractNumericClassPostProcessor

Checks the container whether it can be processed.

check(Evaluation) - Method in class adams.flow.transformer.wekaevaluationpostprocessor.AbstractWekaEvaluationPostProcessor

Checks the evaluation whether it can be processed.

check(Instance) - Method in class adams.data.weka.evaluator.AbstractInstanceEvaluator

Peforms checks on the instance that is about to be evaluated.

check(Instances) - Method in class adams.data.instancesanalysis.FastICA

Hook method for checks.

check(Instances) - Method in class adams.data.instancesanalysis.PCA

Hook method for checks.

check(Instances) - Method in class adams.data.instancesanalysis.PLS

Hook method for checks.

check(Instances) - Method in class adams.data.weka.columnfinder.AbstractColumnFinder

Checks the data.

check(Instances) - Method in class adams.data.weka.columnfinder.AbstractColumnFinderWithCapabilities

Checks the data.

check(Instances) - Method in class adams.data.weka.columnfinder.AbstractTrainableColumnFinder

Checks the data.

check(Instances) - Method in class adams.data.weka.datasetsplitter.ColumnSplitter

Checks that the input data is correctly formatted for our purposes.

check(Instances) - Method in class adams.data.weka.datasetsplitter.RowSplitter

Checks that the input data is correctly formatted for our purposes.

check(Instances) - Method in class adams.data.weka.rowfinder.AbstractRowFinder

Checks the data.

check(Instances) - Method in class adams.data.weka.rowfinder.AbstractRowFinderWithCapabilities

Checks the data.

check(Instances) - Method in class adams.data.weka.rowfinder.AbstractTrainableRowFinder

Checks the data.

check(Instances) - Method in class weka.filters.unsupervised.instance.multirowprocessor.selection.AbstractRowSelection

Hook method for performing checks.

check(Instances[]) - Method in class adams.flow.transformer.wekadatasetsmerge.AbstractMerge

Hook method for performing checks before attempting the merge.

check(Instances[]) - Method in class adams.flow.transformer.wekadatasetsmerge.JoinOnID

Hook method for performing checks before attempting the merge.

check(Instances[]) - Method in class adams.flow.transformer.wekadatasetsmerge.Simple

Hook method for performing checks before attempting the merge.

check(Instances, IndexedSplitsRuns) - Method in class adams.flow.transformer.indexedsplitsrunspredictions.InstancesIndexedSplitsRunsPredictions

For checking the data.

checkAllDatasetsHaveIDAttribute(Instances[]) - Method in class adams.flow.transformer.wekadatasetsmerge.JoinOnID

Checks that each of the given datasets has the unique ID attribute.

checkAttributeMapping(Map<String, List<AbstractMerge.SourceAttribute>>) - Method in class adams.flow.transformer.wekadatasetsmerge.AbstractMerge

Makes sure the source data for each mapped attribute is the same type.

checkAttributeMapping(Map<String, List<AbstractMerge.SourceAttribute>>) - Method in class adams.flow.transformer.wekadatasetsmerge.JoinOnID

Makes sure the source data for each mapped attribute is the same type.

checkBest(Double, OptData, FitnessFunction, int) - Method in class adams.opt.optimise.GeneticAlgorithm

checkCompatibility(Instances, Instances) - Method in class weka.filters.unsupervised.instance.AlignDataset

Checks the compatibility between reference dataset and the one to be aligned with it.

checkDataset(Instances) - Method in class adams.data.wekapyroproxy.AbstractCommunicationProcessor

Hook method for performing checks before converting a dataset.

checkDimensions() - Method in class weka.filters.unsupervised.attribute.MetaPartitionedMultiFilter

checks whether the dimensions of filters and ranges fit together.

checkDimensions() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter2

checks whether the dimensions of filters and ranges fit together.

checkHeader(T) - Method in class adams.data.instances.AbstractInstanceGenerator

Checks whether the number of waves are the same.

checkHeaderTipText() - Method in class adams.flow.transformer.WekaInstanceBuffer

Returns the tip text for this property.

checkHeaderTipText() - Method in class adams.flow.transformer.WekaInstanceDumper

Returns the tip text for this property.

checkInitialize(Instances) - Method in class adams.data.wekapyroproxy.AbstractCommunicationProcessor

Hook method for performing checks before initializing.

checkInput(T) - Method in class adams.data.instances.AbstractInstanceGenerator

Checks the input profile.

checkInstance(Instance) - Method in class adams.data.wekapyroproxy.AbstractCommunicationProcessor

Hook method for performing checks before converting the Instance.

checkNext() - Method in class weka.classifiers.AbstractSplitGenerator

Returns true if the iteration has more elements.

checkNext() - Method in class weka.classifiers.BestBinnedNumericClassRandomSplitGenerator

Returns true if the iteration has more elements.

checkNext() - Method in class weka.classifiers.BinnedNumericClassCrossValidationFoldGenerator

Returns true if the iteration has more elements.

checkNext() - Method in class weka.classifiers.BinnedNumericClassRandomSplitGenerator

Returns true if the iteration has more elements.

checkNext() - Method in class weka.classifiers.DefaultCrossValidationFoldGenerator

Returns true if the iteration has more elements.

checkNext() - Method in class weka.classifiers.DefaultRandomSplitGenerator

Returns true if the iteration has more elements.

checkNext() - Method in class weka.classifiers.GroupedBinnedNumericClassCrossValidationFoldGenerator

Returns true if the iteration has more elements.

checkNext() - Method in class weka.classifiers.GroupedBinnedNumericClassRandomSplitGenerator

Returns true if the iteration has more elements.

checkNext() - Method in class weka.classifiers.GroupedCrossValidationFoldGenerator

Returns true if the iteration has more elements.

checkNext() - Method in class weka.classifiers.GroupedCrossValidationFoldGeneratorUsingNumericClassValues

Returns true if the iteration has more elements.

checkNext() - Method in class weka.classifiers.GroupedRandomSplitGenerator

Returns true if the iteration has more elements.

checkNext() - Method in class weka.classifiers.LeaveOneOutByValueGenerator

Returns true if the iteration has more elements.

checkNext() - Method in class weka.classifiers.MultiLevelSplitGenerator

Returns true if the iteration has more elements.

checkOK(double, double) - Method in class weka.classifiers.meta.AbstainAverage

Check prediction difference against thresholds

checkOK(double, double) - Method in class weka.classifiers.meta.AbstainAverageWithClassifierWeights

Check prediction difference against thresholds

checkOK(double, double) - Method in class weka.classifiers.meta.AbstainVote

checkPrediction(Object) - Method in class adams.data.wekapyroproxy.AbstractCommunicationProcessor

Hook method for performing checks before parsing the prediction.

checkPredictions(Object) - Method in class adams.data.wekapyroproxy.AbstractCommunicationProcessor

Hook method for performing checks before parsing the predictions.

checkRangeForInstance(Instance) - Method in class weka.classifiers.meta.RangeCheck

Checks the range for the instance.

checkRangeForInstance(Instance) - Method in interface weka.classifiers.RangeCheckClassifier

Checks the range for the instance.

checkSetup() - Method in class adams.data.instances.AbstractInstanceGenerator

Checks whether the setup is consistent.

choleskyDecomposition(double[][]) - Method in class weka.classifiers.functions.GPD

Cholesky decomposition.

chooseClassAttributeHeuristic() - Method in class adams.gui.tools.wekainvestigator.InvestigatorPanel

Lets the user choose the class attribute heuristic.

chooseColor(DataContainerPanelWithContainerList<Instance, InstanceContainerManager, InstanceContainer>, List<InstanceContainer>) - Method in class adams.gui.visualization.instance.plotpopup.Viewport

Allows the user to choose the color for all the instances.

chooseRelationNameHeuristic() - Method in class adams.gui.tools.wekainvestigator.InvestigatorPanel

Lets the user choose the relation name heuristic.

CIRCLE - adams.gui.visualization.instance.InstanceLinePaintlet.MarkerShape

a circle.

Class - Class in adams.data.weka.columnfinder

Column finder which finds the class column (if one is set).

Class() - Constructor for class adams.data.weka.columnfinder.Class

CLASS_ATTRIBUTE_NAME - adams.flow.transformer.WekaEvaluationInfo.InfoType

CLASS_ATTRIBUTE_NAME - adams.flow.transformer.WekaInstancesInfo.InfoType

the name of the class attribute.

CLASS_CONSTANT - Static variable in class weka.classifiers.meta.LogClassRegressor

Constant to add to class before logarithm is taken.

CLASS_CONSTANT - Static variable in class weka.classifiers.meta.LogTargetRegressor

Constant to add to class before logarithm is taken.

CLASS_INDEX - Static variable in class weka.classifiers.meta.ClassifierCascade

CLASS_LABEL_COUNT - adams.flow.transformer.WekaInstancesInfo.InfoType

the number of instances with the specified class label (only nominal).

CLASS_LABEL_COUNTS - adams.flow.transformer.WekaInstancesInfo.InfoType

the counts per class label (only nominal).

CLASS_LABEL_DISTRIBUTION - adams.flow.transformer.WekaInstancesInfo.InfoType

the distribution (percentages, 0-1) per class label (only nominal).

CLASS_LABELS - adams.flow.transformer.WekaInstancesInfo.InfoType

the class labels (only nominal class attribute).

CLASS_RANGE - weka.classifiers.meta.MinMaxLimits.LimitHandling

determined based on class attribute range.

CLASS_TYPE - adams.flow.transformer.WekaInstancesInfo.InfoType

the class attribute type.

classAttribute() - Method in class weka.core.AbstractHashableInstance

Returns class attribute.

ClassAttribute - Class in adams.data.weka.relationname

Uses the class attribute name.

ClassAttribute() - Constructor for class adams.data.weka.relationname.ClassAttribute

classAttributesTipText() - Method in class adams.data.instancesanalysis.pls.AbstractMultiClassPLS

Returns the tip text for this property

classAttributeTipText() - Method in class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment

Returns the tip text for this property.

classDetailsTipText() - Method in class adams.flow.transformer.WekaEvaluationSummary

Returns the tip text for this property.

classDetailsTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.TextStatistics

Returns the tip text for this property.

classDistributionTipText() - Method in class adams.flow.transformer.WekaSpreadSheetToPredictions

Returns the tip text for this property.

classDistributionTipText() - Method in class weka.classifiers.functions.FromPredictions

Returns the tip text for this property.

ClassesToClusters - Class in adams.gui.tools.wekainvestigator.tab.clustertab.evaluation

Tries to map the clusters of the built clusterer to the class labels in the dataset.

ClassesToClusters() - Constructor for class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.ClassesToClusters

classFinderTipText() - Method in class adams.flow.transformer.wekadatasetsmerge.AbstractMerge

Gets the tip-text for the classFinder option.

CLASSIFICATION - adams.flow.sink.WekaExperimentGenerator.ExperimentType

classification.

classificationEntryTipText() - Method in class adams.data.conversion.WekaPredictionContainerToSpreadSheet

Returns the tip text for this property.

classificationLabelEntryTipText() - Method in class adams.data.conversion.WekaPredictionContainerToSpreadSheet

Returns the tip text for this property.

classificationNumericAverage(Instance) - Method in class weka.classifiers.meta.AbstainVote

classificationNumericAverage(Instance, boolean) - Method in class weka.classifiers.meta.AbstainAverage

Do the classification.

classificationNumericAverage(Instance, boolean) - Method in class weka.classifiers.meta.AbstainAverageWithClassifierWeights

Do the classification.

classificationNumericMedian(Instance) - Method in class weka.classifiers.meta.AbstainVote

ClassificationViaPLS - Class in weka.classifiers.functions

Performs ClassificationViaRegression using PLSClassifierWeightedWithLoadings as base classifier, allowing access to the PLS matrices.

ClassificationViaPLS() - Constructor for class weka.classifiers.functions.ClassificationViaPLS

Initializes the classifier.

ClassificationViaRegressionD - Class in weka.classifiers.meta

Class for doing classification using regression methods.

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

Default constructor.

CLASSIFIER - Static variable in class weka.filters.supervised.instance.RemoveOutliers

ClassifierBasedGeneticAlgorithmJob(T, int, int[], Instances, Instances) - Constructor for class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm.ClassifierBasedGeneticAlgorithmJob

Initializes the job.

ClassifierBasedGeneticAlgorithmWithSecondEvaluationJob(T, int, int[], Instances, Instances) - Constructor for class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation.ClassifierBasedGeneticAlgorithmWithSecondEvaluationJob

Initializes the job.

ClassifierCascade - Class in weka.classifiers.meta

Generates a classifier cascade, with each deeper level of classifiers being built on the input data and either the class distributions (nominal class) or classification (numeric class) of the classifiers of the previous level in the cascade.
The build process is stopped when either the maximum number of levels is reached, the termination criterion is satisfied or no further improvement is achieved.
In case of a level performing worse than the prior one, the build process is terminated immediately and the current level discarded.

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

ClassifierCascade.Combination - Enum in weka.classifiers.meta

Defines how to combine the predictions of the final layer and turn it into actual predictions.

ClassifierCascade.ThresholdCheck - Enum in weka.classifiers.meta

Defines how to check the threshold.

ClassifierErrors - Class in adams.gui.tools.wekainvestigator.tab.classifytab.output

Generates classifier errors plot.

ClassifierErrors() - Constructor for class adams.gui.tools.wekainvestigator.tab.classifytab.output.ClassifierErrors

ClassifierHandler - Class in weka.gui.explorer

Manages the ClassifierPanel.

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

ClassifierPanel - Class in adams.gui.tools.wekamultiexperimenter.setup

Panel for listing datasets.

ClassifierPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.setup.ClassifierPanel

classifiersTipText() - Method in class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment

Returns the tip text for this property.

classifierTipText() - Method in class adams.data.weka.evaluator.IntervalEstimatorBased

Returns the tip text for this property.

classifierTipText() - Method in class adams.flow.source.WekaClassifierSetup

Returns the tip text for this property.

classifierTipText() - Method in class adams.flow.transformer.AbstractCallableWekaClassifierEvaluator

Returns the tip text for this property.

classifierTipText() - Method in class adams.flow.transformer.indexedsplitsrunsevaluation.InstancesIndexedSplitsRunsEvaluation

Returns the tip text for this property.

classifierTipText() - Method in class adams.flow.transformer.indexedsplitsrunspredictions.InstancesIndexedSplitsRunsPredictions

Returns the tip text for this property.

classifierTipText() - Method in class adams.flow.transformer.WekaClassifierOptimizer

Returns the tip text for this property.

classifierTipText() - Method in class adams.flow.transformer.WekaCrossValidationEvaluator

Returns the tip text for this property.

classifierTipText() - Method in class adams.flow.transformer.WekaRepeatedCrossValidationEvaluator

Returns the tip text for this property.

classifierTipText() - Method in class adams.flow.transformer.WekaStreamEvaluator

Returns the tip text for this property.

classifierTipText() - Method in class adams.flow.transformer.WekaTrainClassifier

Returns the tip text for this property.

classifierTipText() - Method in class adams.flow.transformer.WekaTrainTestSetEvaluator

Returns the tip text for this property.

classifierTipText() - Method in class adams.ml.model.classification.WekaClassifier

Returns the tip text for this property.

classifierTipText() - Method in class adams.ml.model.regression.WekaRegressor

Returns the tip text for this property.

classifierTipText() - Method in class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm

Returns the tip text for this property.

classifierTipText() - Method in class adams.opt.optimise.genetic.fitnessfunctions.AbstractWEKAFitnessFunction

Returns the tip text for this property.

classifierTipText() - Method in class weka.filters.supervised.instance.RemoveOutliers

Returns the tip text for this property.

classifierTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassifiedAbs

Returns the tip text for this property

classifierTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassifiedRel

Returns the tip text for this property

classifierWeightsTipText() - Method in class weka.classifiers.meta.AbstainAverageWithClassifierWeights

Returns the tip text for this property

classify(Row) - Method in class adams.ml.model.classification.WekaClassificationModel

Returns the class label for the given row.

classify(Row) - Method in class adams.ml.model.regression.WekaRegressionModel

Returns the regression for the given row.

classifyInstance(Instance) - Method in class weka.classifiers.functions.ClassificationViaPLS

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.functions.FakeClassifier

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.functions.FromPredictions

Always returns 0.

classifyInstance(Instance) - Method in class weka.classifiers.functions.GaussianProcessesAdaptive

Classifies a given instance.

classifyInstance(Instance) - Method in class weka.classifiers.functions.GaussianProcessesNoWeights

Classifies a given instance.

classifyInstance(Instance) - Method in class weka.classifiers.functions.GaussianProcessesWeighted

Classifies a given instance.

classifyInstance(Instance) - Method in class weka.classifiers.functions.GeneticAlgorithm

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.functions.GPD

Classifies a given instance.

classifyInstance(Instance) - Method in class weka.classifiers.functions.LinearRegressionJ

Classifies the given instance using the linear regression function.

classifyInstance(Instance) - Method in class weka.classifiers.functions.MathExpressionClassifier

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.functions.PLSClassifierWeighted

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.functions.PLSWeighted

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.functions.SimpleLinearRegressionWithAccess

Generate a prediction for the supplied instance.

classifyInstance(Instance) - Method in class weka.classifiers.meta.AbstainAttributePercentile

Returns the prediction.

classifyInstance(Instance) - Method in class weka.classifiers.meta.AbstainAverage

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.meta.AbstainAverageWithClassifierWeights

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.meta.AbstainingCascade

Predicts the class label index for the given instance.

classifyInstance(Instance) - Method in class weka.classifiers.meta.AbstainingClassifierWrapper

Synchronized call of super method for making classification.

classifyInstance(Instance) - Method in class weka.classifiers.meta.AbstainLeastMedianSq

Returns the prediction.

classifyInstance(Instance) - Method in class weka.classifiers.meta.AbstainVote

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.meta.ClassifierCascade

Returns the classification for the instance.

classifyInstance(Instance) - Method in class weka.classifiers.meta.Consensus

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.meta.ConsensusOrVote

Predicts the class label index for the given instance.

classifyInstance(Instance) - Method in class weka.classifiers.meta.Corr

Returns the prediction.

classifyInstance(Instance) - Method in class weka.classifiers.meta.Fallback

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.meta.FilteredClassifierExt

Simply synchronized call of inherited method.

classifyInstance(Instance) - Method in class weka.classifiers.meta.HighLowSplit

Returns the prediction.

classifyInstance(Instance) - Method in class weka.classifiers.meta.HighLowSplitSingleClassifier

Returns the prediction.

classifyInstance(Instance) - Method in class weka.classifiers.meta.LeastMedianSq

Returns the prediction.

classifyInstance(Instance) - Method in class weka.classifiers.meta.LogClassRegressor

Returns the prediction.

classifyInstance(Instance) - Method in class weka.classifiers.meta.LogTargetRegressor

Returns the prediction.

classifyInstance(Instance) - Method in class weka.classifiers.meta.MinMaxLimits

Returns the prediction.

classifyInstance(Instance) - Method in class weka.classifiers.meta.PartitionedStacking

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.meta.PeakTransformed

Returns the prediction.

classifyInstance(Instance) - Method in class weka.classifiers.meta.SocketFacade

Generates a classification for the instance.

classifyInstance(Instance) - Method in class weka.classifiers.meta.SubsetEnsemble

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.meta.SumTransformed

Returns the prediction.

classifyInstance(Instance) - Method in class weka.classifiers.meta.SuppressModelOutput

Classifies the given instance.

classifyInstance(Instance) - Method in class weka.classifiers.meta.ThreadSafeClassifierWrapper

Synchronized method for classifying data.

classifyInstance(Instance) - Method in class weka.classifiers.meta.Veto

Predicts the class label index for the given instance.

classifyInstance(Instance) - Method in class weka.classifiers.meta.VotedImbalance

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.simple.AbstractSimpleClassifier

Classifies the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.trees.m5.M5Base2

Calculates a prediction for an instance using a set of rules or an M5 model tree

classifyInstance(Instance) - Method in class weka.classifiers.trees.m5.Rule2

Calculates a prediction for an instance using this rule or M5 model tree

classifyInstance(Instance) - Method in class weka.classifiers.trees.m5.RuleNode2

Classify an instance using this node.

classifyInstance(Instance) - Method in class weka.classifiers.trees.RandomModelTrees

Calculates the class membership probabilities for the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.trees.RandomRegressionForest

Calculates the class membership probabilities for the given test instance.

classifyInstance(Instance) - Method in class weka.classifiers.trees.RandomRegressionForest.Node

classifies the given instance

classifyInstance(Instance) - Method in class weka.classifiers.trees.XGBoost

Classifies the given test instance.

classifyInstanceMedian(Instance) - Method in class weka.classifiers.meta.AbstainVote

Classifies the given test instance, returning the median from all classifiers.

ClassifyTab - Class in adams.gui.tools.wekainvestigator.tab

Tab for classification.

ClassifyTab() - Constructor for class adams.gui.tools.wekainvestigator.tab.ClassifyTab

ClassifyTab.HistoryPanel - Class in adams.gui.tools.wekainvestigator.tab

Customized history panel.

classIndex() - Method in class weka.core.AbstractHashableInstance

Returns the class attribute's index.

classIndex(Instances) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.ClassesToClusters

Returns the index of the selected class attribute in the provided dataset.

classIndexTipText() - Method in class adams.flow.sink.WekaCostBenefitAnalysis

Returns the tip text for this property.

classIndexTipText() - Method in class adams.flow.source.WekaNewInstances

Returns the tip text for this property.

classIndexTipText() - Method in class adams.flow.transformer.WekaBootstrapping

Returns the tip text for this property.

classIndexTipText() - Method in class adams.flow.transformer.WekaClassSelector

Returns the tip text for this property.

classIndexTipText() - Method in class adams.flow.transformer.WekaEvaluationValuePicker

Returns the tip text for this property.

classIndexTipText() - Method in class adams.flow.transformer.WekaEvaluationValues

Returns the tip text for this property.

classIndexTipText() - Method in class adams.flow.transformer.wekarepeatedcrossvalidationoutput.Statistics

Returns the tip text for this property.

classIndexTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyCostBenefitAnalysis

Returns the tip text for this property.

classIndexTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated.Statistics

Returns the tip text for this property.

classIndexTipText() - Method in class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm

Returns the tip text for this property.

classIndexTipText() - Method in class adams.opt.optimise.genetic.fitnessfunctions.AbstractWEKAFitnessFunction

Returns the tip text for this property.

classIndexTipText() - Method in class weka.classifiers.meta.ClassifierCascade

Returns the tip text for this property.

classIndexTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassifiedAbs

Returns the tip text for this property

classIndexTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassifiedRel

Returns the tip text for this property

classIsMissing() - Method in class weka.core.AbstractHashableInstance

Tests if an instance's class is missing.

classLabelIndexTipText() - Method in class adams.data.conversion.WekaEvaluationToCostCurve

Returns the tip text for this property.

classLabelIndexTipText() - Method in class adams.data.conversion.WekaEvaluationToThresholdCurve

Returns the tip text for this property.

classLabelIndexTipText() - Method in class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment

Returns the tip text for this property.

classLabelIndexTipText() - Method in class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm

Returns the tip text for this property.

classLabelRangeTipText() - Method in class adams.flow.sink.WekaCostCurve

Returns the tip text for this property.

classLabelRangeTipText() - Method in class adams.flow.sink.WekaThresholdCurve

Returns the tip text for this property.

classLabelRangeTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyCostCurve

Returns the tip text for this property.

classLabelRangeTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyThresholdCurve

Returns the tip text for this property.

classLabelTipText() - Method in class adams.flow.transformer.WekaClassifierRanker

Returns the tip text for this property.

classnameTipText() - Method in class adams.core.discovery.genetic.GenericDoubleResolution

Returns the tip text for this property.

classnameTipText() - Method in class adams.core.discovery.genetic.GenericFloatResolution

Returns the tip text for this property.

classnameTipText() - Method in class adams.core.discovery.genetic.GenericInteger

Returns the tip text for this property.

classnameTipText() - Method in class adams.core.discovery.genetic.GenericString

Returns the tip text for this property.

classnameTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.SourceCode

Returns the tip text for this property.

classNameTipText() - Method in class adams.flow.source.WekaNewInstances

Returns the tip text for this property.

classNameTipText() - Method in class weka.filters.unsupervised.attribute.AttributeSummaryTransferFilter

Gets the tip-text for the class-name option.

classNoiseTipText() - Method in class weka.classifiers.functions.GaussianProcessesAdaptive

Returns the tip text for this property.

ClassRangeBasedClassifierErrors - Class in weka.gui.visualize.plugins

Displays the classifier errors using Weka panels, but with a sizes adjusted to the class range.

ClassRangeBasedClassifierErrors() - Constructor for class weka.gui.visualize.plugins.ClassRangeBasedClassifierErrors

classValue() - Method in class weka.core.AbstractHashableInstance

Returns an instance's class value as a floating-point number.

ClassValueBinValueExtractor() - Constructor for class adams.data.binning.BinnableInstances.ClassValueBinValueExtractor

clean(String) - Method in class weka.core.tokenizers.cleaners.AbstractTokenCleaner

Determines whether a token is clean or not.

clean(String) - Method in class weka.core.tokenizers.cleaners.MultiCleaner

Determines whether a token is clean or not.

clean(String) - Method in class weka.core.tokenizers.cleaners.NormalizeDuplicateChars

Determines whether a token is clean or not.

clean(String) - Method in class weka.core.tokenizers.cleaners.PassThrough

Passes tokens through.

clean(String) - Method in class weka.core.tokenizers.cleaners.RemoveNonWordCharTokens

Determines whether a token is clean or not.

clean(String) - Method in interface weka.core.tokenizers.cleaners.TokenCleaner

Determines whether a token is clean or not.

CLEANER - Static variable in class weka.core.tokenizers.cleaners.MultiCleaner

CLEANER - Static variable in class weka.core.tokenizers.PreCleanedTokenizer

cleanersTipText() - Method in class weka.core.tokenizers.cleaners.MultiCleaner

Returns the tip text for this property.

cleanerTipText() - Method in class weka.core.tokenizers.PreCleanedTokenizer

Returns the tip text for this property.

cleanOutputBuffer() - Method in class adams.flow.transformer.AbstractWekaClassifierEvaluator

Cleans up the output buffer.

cleanUp() - Method in class adams.data.instances.AbstractInstanceGenerator

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.data.weka.evaluator.AbstractDatasetInstanceEvaluator

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.data.weka.evaluator.AbstractInstanceEvaluator

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.flow.transformer.WekaClassifierRanker

Frees up memory in a "destructive" non-reversible way.

cleanUp() - Method in class adams.flow.transformer.WekaClassifierRanker.RankingJob

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.flow.transformer.WekaFilter.BatchFilterJob

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.flow.transformer.WekaTestSetEvaluator.EvaluateJob

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.flow.transformer.WekaTrainAssociator.TrainJob

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.flow.transformer.WekaTrainClassifier.BatchTrainJob

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.flow.transformer.WekaTrainClusterer.BatchTrainJob

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.flow.transformer.WekaTrainTestSetEvaluator.EvaluateJob

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.data.AbstractDataContainer

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.data.DatabaseContainer

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.data.DataGeneratorContainer

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.data.FileContainer

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.data.SpreadSheetContainer

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.data.TextDirectoryLoaderContainer

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.InvestigatorPanel

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.output.AbstractNestableResultItem

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.output.AbstractResultItem

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.output.OutputTabbedPane

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.tab.AssociateTab

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.tab.AttributeSelectionTab

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.tab.ClassifyTab

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.tab.ClusterTab

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.tab.ExperimentTab

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekainvestigator.tab.InvestigatorTabbedPane

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekamultiexperimenter.analysis.AbstractResultsPanel

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.tools.wekamultiexperimenter.experiment.CrossValidationExperiment.CrossValidationExperimentJob

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.visualization.instance.InstanceComparePanel

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.visualization.instance.InstanceExplorer

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.visualization.instance.InstancePanel

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.gui.visualization.instance.InstancePointHitDetector

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.multiprocess.WekaCrossValidationExecution

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.multiprocess.WekaCrossValidationJob

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.opt.optimise.GeneticAlgorithm

Cleans up data structures, frees up memory.

cleanUp() - Method in class adams.tools.CompareDatasets

Cleans up data structures, frees up memory.

cleanUpGUI() - Method in class adams.flow.sink.WekaClassifierErrors

Removes all graphical components.

cleanUpGUI() - Method in class adams.flow.sink.WekaCostBenefitAnalysis

Removes all graphical components.

cleanUpGUI() - Method in class adams.flow.sink.WekaCostCurve

Removes all graphical components.

cleanUpGUI() - Method in class adams.flow.sink.WekaInstancesDisplay

Removes all graphical components.

cleanUpGUI() - Method in class adams.flow.sink.WekaInstancesPlot

Removes all graphical components.

cleanUpGUI() - Method in class adams.flow.sink.WekaInstanceViewer

Removes all graphical components.

cleanUpGUI() - Method in class adams.flow.sink.WekaMarginCurve

Removes all graphical components.

cleanUpGUI() - Method in class adams.flow.sink.WekaThresholdCurve

Removes all graphical components.

clear() - Method in class adams.data.instance.Instance

Removes all the points and report and nulls the header reference.

clear() - Method in class adams.gui.tools.wekainvestigator.data.DataContainerList

clear() - Method in class adams.gui.tools.wekainvestigator.InvestigatorPanel

Removes all currently loaded datasets.

clear() - Method in class adams.gui.tools.wekainvestigator.tab.AssociateTab.HistoryPanel

Removes all entries and payloads.

clear() - Method in class adams.gui.tools.wekainvestigator.tab.AttributeSelectionTab.HistoryPanel

Removes all entries and payloads.

clear() - Method in class adams.gui.tools.wekainvestigator.tab.ClassifyTab.HistoryPanel

Removes all entries and payloads.

clear() - Method in class adams.gui.tools.wekainvestigator.tab.ClusterTab.HistoryPanel

Removes all entries and payloads.

clear() - Method in class adams.gui.tools.wekainvestigator.tab.CompareTab

Clears the content.

clear() - Method in class adams.gui.tools.wekainvestigator.tab.DataQueryTab

Saves the result as a new dataset.

clear() - Method in class adams.gui.tools.wekainvestigator.tab.ExperimentTab.HistoryPanel

Removes all entries and payloads.

clear() - Method in class adams.gui.tools.wekainvestigator.tab.preprocesstab.AttributeSummaryPanel.AttributeInfoPanel

Clears the display.

clear() - Method in class adams.gui.tools.wekainvestigator.tab.preprocesstab.AttributeSummaryPanel.StatisticsTable

Clears the table.

clear() - Method in class adams.gui.tools.wekainvestigator.tab.preprocesstab.MultiAttributeSummaryPanel

Clears the display.

clear() - Method in class adams.gui.tools.wekainvestigator.tab.preprocesstab.MultiAttributeVisualizationPanel

Clears the display.

clear() - Method in class adams.gui.tools.wekamultiexperimenter.analysis.DefaultAnalysisPanel.HistoryPanel

Removes all entries and payloads.

clear() - Method in class adams.gui.tools.wekamultiexperimenter.LogPanel

Clears the content.

clear() - Method in class adams.gui.visualization.instance.InstanceContainerManager

Clears the container list.

clear() - Method in class adams.ml.data.InstancesHeaderRow

Removes all cells.

clear() - Method in class adams.ml.data.InstancesView

Removes all cells, but leaves comments.

clear() - Method in class adams.ml.data.InstanceView

Removes all cells.

clear() - Method in class weka.experiment.ResultMatrixAdamsCSV

removes the stored data but retains the dimensions of the matrix.

clear() - Method in class weka.gui.explorer.MultiExplorer

Removes all panels.

clearBufferTipText() - Method in class adams.flow.transformer.WekaInstanceBuffer

Returns the tip text for this property.

clearData() - Method in class adams.gui.visualization.instance.InstanceExplorer

Removes all the data.

clearLog() - Method in class adams.gui.tools.wekainvestigator.InvestigatorPanel

Empties the log.

clearLog() - Method in class adams.gui.tools.wekainvestigator.tab.LogTab

Clears the log.

clearPanel() - Method in class adams.flow.sink.WekaAttributeSummary

Clears the content of the panel.

clearPanel() - Method in class adams.flow.sink.WekaClassifierErrors

Clears the content of the panel.

clearPanel() - Method in class adams.flow.sink.WekaCostBenefitAnalysis

Clears the content of the panel.

clearPanel() - Method in class adams.flow.sink.WekaCostCurve

Clears the content of the panel.

clearPanel() - Method in class adams.flow.sink.WekaGraphVisualizer

Clears the content of the panel.

clearPanel() - Method in class adams.flow.sink.WekaInstancesDisplay

Clears the content of the panel.

clearPanel() - Method in class adams.flow.sink.WekaInstancesPlot

Clears the content of the panel.

clearPanel() - Method in class adams.flow.sink.WekaInstanceViewer

Clears the content of the panel.

clearPanel() - Method in class adams.flow.sink.WekaMarginCurve

Clears the content of the panel.

clearPanel() - Method in class adams.flow.sink.WekaThresholdCurve

Clears the content of the panel.

clearPanel() - Method in class adams.flow.sink.WekaTreeVisualizer

Clears the content of the panel.

clearProgress() - Method in class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment

Clears the progress of the experiment.

clearRemainder() - Method in class weka.filters.unsupervised.attribute.InterquartileRangeSamp

clearResults() - Method in class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm

Clears all currently stored results.

clearResults() - Method in class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithmWithSecondEvaluation

Clears all currently stored results.

clearResults() - Method in class adams.opt.optimise.GeneticAlgorithm

Clears all currently stored results.

clearUndo() - Method in class adams.gui.visualization.instances.InstancesTable

removes the undo history

clearUndo() - Method in class adams.gui.visualization.instances.InstancesTableModel

removes the undo history

clip(double) - Method in class weka.classifiers.evaluation.MSLE

Limits the value to MSLE.EPSILON or larger.

Clipboard - Class in adams.gui.tools.wekainvestigator.source

Parses content on the clipboard.

Clipboard() - Constructor for class adams.gui.tools.wekainvestigator.source.Clipboard

Instantiates the action.

cloneContent() - Method in class adams.data.instance.WekaInstanceContainer

Returns a clone of the content.

close() - Method in class adams.gui.tools.DatasetCompatibilityPanel

Closes the dialog.

close() - Method in class adams.gui.visualization.instance.InstanceComparePanel

closes the dialog/frame.

close() - Method in class adams.gui.visualization.instance.InstanceExplorer

closes the dialog/frame.

close() - Method in class adams.gui.visualization.instance.LoadDatasetDialog

Closes the dialog.

close() - Method in class weka.gui.explorer.ExplorerExt

Closes the dialog.

closeServer() - Method in class weka.classifiers.meta.SocketFacade

Closes the server socket if necessary.

cluster(Row) - Method in class adams.ml.model.clustering.WekaClusteringModel

Returns the cluster for the given row.

ClusterAssignments - Class in adams.gui.tools.wekainvestigator.tab.clustertab.output

Displays the cluster assignments.

ClusterAssignments() - Constructor for class adams.gui.tools.wekainvestigator.tab.clustertab.output.ClusterAssignments

ClusterCenters - Class in adams.flow.transformer.wekaclusterer

Computes the cluster centers for the provided dataset.

ClusterCenters() - Constructor for class adams.flow.transformer.wekaclusterer.ClusterCenters

ClusterCounts - Class in adams.flow.transformer.wekaclusterer

Creates an overview of how many instances get clustered into each cluster.
Stored in container under: Clustered dataset

ClusterCounts() - Constructor for class adams.flow.transformer.wekaclusterer.ClusterCounts

ClustererHandler - Class in weka.gui.explorer

Manages the ClustererPanel.

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

clustererTipText() - Method in class adams.flow.source.WekaClustererSetup

Returns the tip text for this property.

clustererTipText() - Method in class adams.flow.transformer.AbstractCallableWekaClustererEvaluator

Returns the tip text for this property.

clustererTipText() - Method in class adams.flow.transformer.WekaCrossValidationClustererEvaluator

Returns the tip text for this property.

clustererTipText() - Method in class adams.flow.transformer.WekaTrainClusterer

Returns the tip text for this property.

clustererTipText() - Method in class adams.flow.transformer.WekaTrainTestSetClustererEvaluator

Returns the tip text for this property.

clustererTipText() - Method in class adams.ml.model.clustering.WekaClusterer

Returns the tip text for this property.

clusterInstance(Instance) - Method in class weka.clusterers.SAXKMeans

Classifies a given instance.

ClusterStatistics - Class in adams.flow.transformer.wekaclusterer

Computes cluster statistics (min/max/mean/stdev) for the provided dataset.

ClusterStatistics() - Constructor for class adams.flow.transformer.wekaclusterer.ClusterStatistics

ClusterTab - Class in adams.gui.tools.wekainvestigator.tab

Tab for clustering.

ClusterTab() - Constructor for class adams.gui.tools.wekainvestigator.tab.ClusterTab

ClusterTab.HistoryPanel - Class in adams.gui.tools.wekainvestigator.tab

Customized history panel.

coefficients() - Method in class weka.classifiers.functions.LinearRegressionJ

Returns the coefficients for this linear model.

collapse(Instances) - Method in class weka.core.InstanceGrouping

Collapses the data into a fake dataset with only the the group and the class attribute.

collapsedHeader() - Method in class weka.core.InstanceGrouping

Creates the header for the collapsed data.

colNameTipText() - Method in class adams.flow.transformer.wekapackagemanageraction.InstallOfficial

Returns the tip text for this property.

colNameTipText() - Method in class adams.flow.transformer.wekapackagemanageraction.Uninstall

Returns the tip text for this property.

colorFieldTipText() - Method in class adams.gui.visualization.instance.ReportColorInstancePaintlet

Returns the tip text for this property.

colorProviderTipText() - Method in class adams.flow.sink.WekaInstanceViewer

Returns the tip text for this property.

colorProviderTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.PredictionTrend

Returns the tip text for this property.

COLUMN - adams.flow.transformer.WekaExtractArray.ExtractionType

column.

COLUMN_BY_INDEX - adams.flow.transformer.WekaInstancesStatisticDataType

obtains columns (by index).

COLUMN_BY_REGEXP - adams.flow.transformer.WekaInstancesStatisticDataType

obtains columns (by reg exp).

COLUMN_NAME - Static variable in class adams.data.conversion.WekaPredictionContainerToSpreadSheet

the name column in the spreadsheet.

COLUMN_VALUE - Static variable in class adams.data.conversion.WekaPredictionContainerToSpreadSheet

the value column in the spreadsheet.

columnAsVector(Matrix, int) - Static method in class weka.core.matrix.MatrixHelper

returns the given column as a vector (actually a n x 1 matrix)

ColumnContainer(String, int) - Constructor for class adams.gui.visualization.instances.InstancesColumnComboBox.ColumnContainer

Initializes the container.

ColumnFinder - Interface in adams.data.weka.columnfinder

Interface for classes that "find" columns of interest in datasets.

columnFinderTipText() - Method in class adams.data.weka.columnfinder.AbstractFilteredColumnFinder

Returns the tip text for this property.

columnFinderTipText() - Method in class adams.data.weka.datasetsplitter.ColumnSplitter

Gets the tip-text for the columnFinder option.

columnFinderTipText() - Method in class weka.filters.unsupervised.attribute.AbstractColumnFinderApplier

Returns the tip text for this property.

columnFinderTipText() - Method in class weka.filters.unsupervised.attribute.AttributeSummaryTransferFilter

Gets the tip-text for the column-finder option.

columnFinderTipText() - Method in class weka.filters.unsupervised.attribute.DatasetCleaner

Returns the tip text for this property.

COLUMNS - Static variable in class weka.filters.supervised.attribute.SIMPLSMatrixFilterFromGeneticString

columnSampleByLevelTipText() - Method in class weka.classifiers.trees.XGBoost

Gets the tip-text for the columnSampleByLevel option.

columnSampleByNodeTipText() - Method in class weka.classifiers.trees.XGBoost

Gets the tip-text for the columnSampleByNode option.

columnSampleByTreeTipText() - Method in class weka.classifiers.trees.XGBoost

Gets the tip-text for the columnSampleByTree option.

ColumnSplitter - Class in adams.data.weka.datasetsplitter

Splits a dataset in two based on the columns selected by a column-finder.

ColumnSplitter() - Constructor for class adams.data.weka.datasetsplitter.ColumnSplitter

ColumnStatistic - Class in adams.gui.visualization.instances.instancestable

Allows the calculation of column statistics.

ColumnStatistic() - Constructor for class adams.gui.visualization.instances.instancestable.ColumnStatistic

columnsTipText() - Method in class adams.core.discovery.genetic.AbstractGeneticDoubleMatrixDiscoveryHandler

Returns the tip text for this property.

columnsTipText() - Method in class adams.data.weka.columnfinder.Constant

Gets the tip-text for the columns option.

columnsTipText() - Method in class weka.filters.supervised.attribute.SIMPLSMatrixFilterFromGeneticString

columnTipText() - Method in class adams.flow.transformer.WekaExperimentEvaluation

Returns the tip text for this property.

columnTipText() - Method in class adams.flow.transformer.WekaGetInstancesValue

Returns the tip text for this property.

columnTipText() - Method in class adams.flow.transformer.WekaSetInstancesValue

Returns the tip text for this property.

columnTipText() - Method in class adams.gui.tools.wekainvestigator.tab.experimenttab.output.TextOutput

Returns the tip text for this property.

colVersionTipText() - Method in class adams.flow.transformer.wekapackagemanageraction.InstallOfficial

Returns the tip text for this property.

COMBINATION - Static variable in class weka.classifiers.meta.ClassifierCascade

combinationRuleTipText() - Method in class weka.classifiers.meta.AbstainVote

Returns the tip text for this property

combinationRuleTipText() - Method in class weka.classifiers.meta.SubsetEnsemble

Returns the tip text for this property.

combinationRuleTipText() - Method in class weka.classifiers.meta.VotedImbalance

Returns the tip text for this property.

combinationTipText() - Method in class adams.data.weka.columnfinder.MultiColumnFinder

Returns the tip text for this property.

combinationTipText() - Method in class adams.data.weka.rowfinder.MultiRowFinder

Returns the tip text for this property.

combinationTipText() - Method in class weka.classifiers.meta.ClassifierCascade

Returns the tip text for this property.

COMBINE_COMPONENTS - weka.attributeSelection.AbstractPLSAttributeEval.LoadingsCalculations

COMBINED - adams.flow.transformer.WekaClassifierRanker.Measure

evaluation via: Combined = ("", Performance.1-CC) + RRSE + RAE.

commandlineToObject(String) - Method in class adams.flow.source.WekaSelectObjects

Turns a commandline into an object.

commentTipText() - Method in class adams.flow.transformer.WekaClusterEvaluationSummary

Returns the tip text for this property.

commentTipText() - Method in class adams.flow.transformer.WekaEvaluationSummary

Returns the tip text for this property.

commonSubsequence(String, String, boolean) - Method in class weka.filters.unsupervised.attribute.MergeManyAttributes

Determines the common subsequence of the two strings.

commonSubsequence(String, String, boolean) - Method in class weka.filters.unsupervised.attribute.MergeTwoAttributes

Determines the common subsequence of the two strings.

communicationTipText() - Method in class weka.classifiers.functions.PyroProxy

Returns the tip text for this property.

communicationTipText() - Method in interface weka.core.PyroProxyObject

Returns the tip text for this property.

compactify() - Method in class weka.core.InstancesView

Does nothing.

comparatorTipText() - Method in class adams.flow.transformer.WekaSpreadSheetToPredictions

Returns the tip text for this property.

compare(DataPoint, DataPoint) - Method in class adams.data.instance.InstancePointComparator

Compares its two arguments for order.

compare(AbstractHistoryPopupMenuItem, AbstractHistoryPopupMenuItem) - Method in class adams.gui.tools.wekainvestigator.history.MenuItemComparator

Compares the menu items based on category and title.

compare(AbstractPerFoldPopupMenuItem, AbstractPerFoldPopupMenuItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold.MenuItemComparator

Compares the menu items based on category and title.

compare(File[], Instances[]) - Method in class adams.gui.tools.DatasetCompatibilityPanel

Performs the actual comparison.

compare(List<AbstractMerge.SourceAttribute>, List<AbstractMerge.SourceAttribute>) - Method in class adams.flow.transformer.wekadatasetsmerge.AbstractMerge

Compares two lists of source attributes to determine the order in which their mapped attributes should appear in the merged dataset.

compare(List<AbstractMerge.SourceAttribute>, List<AbstractMerge.SourceAttribute>) - Method in class adams.flow.transformer.wekadatasetsmerge.JoinOnID

Compares two lists of source attributes to determine the order in which their mapped attributes should appear in the merged dataset.

compare(Prediction, Prediction) - Method in class adams.flow.transformer.wekaevaluationpostprocessor.AbsolutePredictionErrorComparator

Compares the error of the predictions.

compare(Instance, Instance) - Method in class adams.data.instances.InstanceComparator

Compares its two arguments for order.

compareData() - Method in class adams.gui.tools.wekainvestigator.tab.CompareTab

Compares the data

CompareDatasets - Class in adams.tools

Compares two datasets, either row-by-row or using a row attribute listing a unique ID for matching the rows, outputting the correlation coefficient of the numeric attributes found in the ranges defined by the user.
In order to trim down the number of generated rows, a threshold can be specified.

CompareDatasets() - Constructor for class adams.tools.CompareDatasets

compareIDs() - Method in class adams.gui.tools.wekainvestigator.tab.CompareTab

Compares the IDs.

compareInstances() - Method in class adams.gui.tools.wekainvestigator.tab.CompareTab

Performs the comparison between the rows from the two datasets.

CompareModels - Class in adams.gui.tools.wekainvestigator.tab.classifytab.history

Compares the predictions of two models.

CompareModels() - Constructor for class adams.gui.tools.wekainvestigator.tab.classifytab.history.CompareModels

compareNumeric(String, ResultItem, String, ResultItem) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.history.CompareModels

Compares the two evaluations (numeric class).

compareOutput(AbstractOutputGenerator, int[]) - Method in class adams.gui.tools.wekainvestigator.tab.AssociateTab.HistoryPanel

Prompts the user with a GOE for configuring the output generator and then displays the generated outputs side by side.

compareOutput(AbstractOutputGenerator, int[]) - Method in class adams.gui.tools.wekainvestigator.tab.AttributeSelectionTab.HistoryPanel

Prompts the user with a GOE for configuring the output generator and then displays the generated outputs side by side.

compareOutput(AbstractOutputGenerator, int[]) - Method in class adams.gui.tools.wekainvestigator.tab.ClassifyTab.HistoryPanel

Prompts the user with a GOE for configuring the output generator and then displays the generated outputs side by side.

compareOutput(AbstractOutputGenerator, int[]) - Method in class adams.gui.tools.wekainvestigator.tab.ClusterTab.HistoryPanel

Prompts the user with a GOE for configuring the output generator and then displays the generated outputs side by side.

compareStructure() - Method in class adams.gui.tools.wekainvestigator.tab.CompareTab

Compares the structure.

CompareTab - Class in adams.gui.tools.wekainvestigator.tab

For comparing datasets.

CompareTab() - Constructor for class adams.gui.tools.wekainvestigator.tab.CompareTab

compareTo(WekaPredictionContainerToSpreadSheet.SortContainer) - Method in class adams.data.conversion.WekaPredictionContainerToSpreadSheet.SortContainer

Compares this object with the specified object for order.

compareTo(AbstractMerge.SourceAttribute) - Method in class adams.flow.transformer.wekadatasetsmerge.AbstractMerge.SourceAttribute

compareTo(DataContainer) - Method in class adams.gui.tools.wekainvestigator.data.AbstractDataContainer

Compares this container with the specified one.

compareTo(InstancesColumnComboBox.ColumnContainer) - Method in class adams.gui.visualization.instances.InstancesColumnComboBox.ColumnContainer

Compares itself to the other container.

compareTo(InstancesTablePopupMenuItem) - Method in class adams.gui.visualization.instances.instancestable.AbstractPlotColumn

For sorting the menu items.

compareTo(InstancesTablePopupMenuItem) - Method in class adams.gui.visualization.instances.instancestable.AbstractPlotRow

For sorting the menu items.

compareTo(InstancesTablePopupMenuItem) - Method in class adams.gui.visualization.instances.instancestable.AbstractPlotSelectedRows

For sorting the menu items.

compareTo(InstancesTablePopupMenuItem) - Method in class adams.gui.visualization.instances.instancestable.AbstractProcessCell

For sorting the menu items.

compareTo(InstancesTablePopupMenuItem) - Method in class adams.gui.visualization.instances.instancestable.AbstractProcessColumn

For sorting the menu items.

compareTo(InstancesTablePopupMenuItem) - Method in class adams.gui.visualization.instances.instancestable.AbstractProcessRow

For sorting the menu items.

compareTo(InstancesTablePopupMenuItem) - Method in class adams.gui.visualization.instances.instancestable.AbstractProcessSelectedRows

For sorting the menu items.

compareTo(InstancesTablePopupMenuItem) - Method in class adams.gui.visualization.instances.instancestable.Binning

For sorting the menu items.

compareTo(InstancesTablePopupMenuItem) - Method in class adams.gui.visualization.instances.instancestable.Histogram

For sorting the menu items.

compareTo(InstancesTablePopupMenuItem) - Method in class adams.gui.visualization.instances.instancestable.JFreeChart

For sorting the menu items.

compareTo(InstancesTablePopupMenuItem) - Method in class adams.gui.visualization.instances.instancestable.SimplePlot

For sorting the menu items.

compareTo(Object) - Method in class adams.data.instance.InstancePoint

Compares this object with the specified object for order.

compareTo(Object) - Method in class adams.data.instances.AbstractInstanceGenerator

Compares this object with the specified object for order.

compareTo(Object) - Method in class adams.data.weka.columnfinder.AbstractColumnFinder

Compares this object with the specified object for order.

compareTo(Object) - Method in class adams.data.weka.evaluator.AbstractCrossvalidatedInstanceEvaluator.EvaluationContainer

Compares this object with the specified object for order.

compareTo(Object) - Method in class adams.data.weka.evaluator.AbstractInstanceEvaluator

Compares this object with the specified object for order.

compareTo(Object) - Method in class adams.data.weka.evaluator.IntervalEstimatorBased.SortedInterval

Compares this object with the specified object for order.

compareTo(Object) - Method in class adams.data.weka.predictions.AbstractErrorScaler

Compares this object with the specified object for order.

compareTo(Object) - Method in class adams.data.weka.rowfinder.AbstractRowFinder

Compares this object with the specified object for order.

compareTo(Object) - Method in class adams.flow.transformer.WekaAccumulatedError.SortablePrediction

Compares this object with the specified object for order.

compareTo(Object) - Method in class weka.core.neighboursearch.NewNNSearch.InstanceNode

comparisonFieldTipText() - Method in class adams.flow.transformer.WekaExperimentEvaluation

Returns the tip text for this property.

comparisonFieldTipText() - Method in class adams.gui.tools.wekainvestigator.tab.experimenttab.output.TextOutput

Returns the tip text for this property.

Compatibility - Class in adams.gui.tools.wekainvestigator.datatable.action

Checks the compatibility of the selected datasets.

Compatibility() - Constructor for class adams.gui.tools.wekainvestigator.datatable.action.Compatibility

Instantiates the action.

completedClassifier(int, boolean) - Method in class weka.classifiers.meta.SubsetEnsemble

Records the completion of the training of a single classifier.

completedClassifier(int, boolean) - Method in class weka.classifiers.meta.VotedImbalance

Records the completion of the training of a single classifier.

completeRowsOnlyTipText() - Method in class adams.flow.transformer.wekadatasetsmerge.JoinOnID

Gets the tip-text for the complete-rows-only option.

complexityStatisticsTipText() - Method in class adams.flow.transformer.WekaEvaluationSummary

Returns the tip text for this property.

complexityStatisticsTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.TextStatistics

Returns the tip text for this property.

ComponentContentPanel - Class in adams.gui.tools.wekainvestigator.output

Panel for exporting the graphical component as image.

ComponentContentPanel(JComponent, boolean) - Constructor for class adams.gui.tools.wekainvestigator.output.ComponentContentPanel

Initializes the panel with the specified component.

componentRangeTipText() - Method in class weka.attributeSelection.AbstractPLSAttributeEval

Returns the tip text for this property

computeHashCode() - Method in class weka.core.AbstractHashableInstance

Computes the hashcode.

computeHashCode() - Method in class weka.core.HashableInstanceUsingString

Computes the hashcode.

computeHashCode() - Method in class weka.core.HashableInstanceUsingSum

Computes the hashcode.

computePercentage(double, double, double) - Static method in class weka.classifiers.RangeCheckHelper

Calculates the percentage of how much the value is outside the range.

computeStdDev(Instance, Matrix) - Method in class weka.classifiers.functions.GaussianProcessesNoWeights

Computes standard deviation for given instance, without transforming target back into original space.

computeThresholds(Instances) - Method in class weka.filters.unsupervised.attribute.InterquartileRangeSamp

computes the thresholds for outliers and extreme values

confidenceLevelTipText() - Method in class adams.data.weka.evaluator.IntervalEstimatorBased

Returns the tip text for this property.

configureOutput(AbstractOutputGenerator) - Method in class adams.gui.tools.wekainvestigator.tab.AssociateTab.HistoryPanel

Prompts the user with a GOE for configuring the output generator and returns it if accepted.

configureOutput(AbstractOutputGenerator) - Method in class adams.gui.tools.wekainvestigator.tab.AttributeSelectionTab.HistoryPanel

Prompts the user with a GOE for configuring the output generator and returns it if accepted.

configureOutput(AbstractOutputGenerator) - Method in class adams.gui.tools.wekainvestigator.tab.ClassifyTab.HistoryPanel

Prompts the user with a GOE for configuring the output generator and returns it if accepted.

configureOutput(AbstractOutputGenerator) - Method in class adams.gui.tools.wekainvestigator.tab.ClusterTab.HistoryPanel

Prompts the user with a GOE for configuring the output generator and returns it if accepted.

configureOutput(AbstractOutputGenerator) - Method in class adams.gui.tools.wekainvestigator.tab.ExperimentTab.HistoryPanel

Prompts the user with a GOE for configuring the output generator and returns it if accepted.

configureRowFinder(int, Classifier, Instances) - Method in class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment

Configures the row finder that determines whether the classifier/dataset combination is still required.

ConfusionMatrix - Class in adams.gui.tools.wekainvestigator.tab.classifytab.output

Displays the confusion matrix.

ConfusionMatrix() - Constructor for class adams.gui.tools.wekainvestigator.tab.classifytab.output.ConfusionMatrix

confusionMatrixTipText() - Method in class adams.flow.transformer.WekaEvaluationSummary

Returns the tip text for this property.

confusionMatrixTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.TextStatistics

Returns the tip text for this property.

consensus(Instance) - Method in class weka.classifiers.meta.Consensus

Checks whether there is consensus between the classifiers.

Consensus - Class in weka.classifiers.meta

Outputs predictions only if the ensemble agrees.

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

ConsensusOrVote - Class in weka.classifiers.meta

If the required minimum number of classifiers of the ensemble agree on a label, then this label is predicted.

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

Constant - Class in adams.data.weka.columnfinder

Column finder that finds a constant set of columns.

Constant - Class in adams.data.weka.rowfinder

Row finder that finds a constant set of rows.

Constant() - Constructor for class adams.data.weka.columnfinder.Constant

Constant() - Constructor for class adams.data.weka.rowfinder.Constant

constructEnsemble() - Method in class weka.classifiers.meta.VotedImbalance

Constructs the ensemble.

constructEnsemble(Instance) - Method in class weka.classifiers.meta.SubsetEnsemble

Constructs the ensemble.

containersInViewport(DataContainerPanelWithContainerList<Instance, InstanceContainerManager, InstanceContainer>) - Method in class adams.gui.visualization.instance.plotpopup.Viewport

Locates the visible instances that are on display in the current viewport.

conversionTipText() - Method in class weka.core.converters.SpreadSheetLoader

The tip text for this property.

convert() - Method in class adams.gui.tools.WekaOptionsConversionPanel

Performs the conversion.

convert(Class, String) - Method in class adams.flow.core.WekaPropertyValueConverter

Converts the variable value into the appropriate object, if possible.

convertCapabilities(Capabilities) - Static method in class adams.ml.data.WekaConverter

Converts Weka capabilities into ADAMS ones.

convertDataset(PyroProxy, Instances) - Method in class adams.data.wekapyroproxy.AbstractCommunicationProcessor

Performs the dataset conversion.

converterTipText() - Method in class adams.data.conversion.WekaCommandToCode

Returns the tip text for this property.

convertInstance(PyroProxy, Instance) - Method in class adams.data.wekapyroproxy.AbstractCommunicationProcessor

Converts the instance into a different format.

convertInstance(Instance) - Method in class weka.filters.unsupervised.attribute.PrincipalComponentsJ

Transform an instance in original (unormalized) format.

ConvertToDate - Class in adams.gui.tools.wekainvestigator.tab.preprocesstab.attributeselaction

Converts the selected string attributes to date ones.

ConvertToDate() - Constructor for class adams.gui.tools.wekainvestigator.tab.preprocesstab.attributeselaction.ConvertToDate

Instantiates the action.

ConvertToNominal - Class in adams.gui.tools.wekainvestigator.tab.preprocesstab.attributeselaction

Converts the selected attributes to nominal ones.

ConvertToNominal() - Constructor for class adams.gui.tools.wekainvestigator.tab.preprocesstab.attributeselaction.ConvertToNominal

Instantiates the action.

ConvertToString - Class in adams.gui.tools.wekainvestigator.tab.preprocesstab.attributeselaction

Converts the selected attributes to string ones.

ConvertToString() - Constructor for class adams.gui.tools.wekainvestigator.tab.preprocesstab.attributeselaction.ConvertToString

Instantiates the action.

COORD_DESCENT - weka.classifiers.trees.XGBoost.Updater

copy() - Method in class weka.core.AbstractHashableInstance

This method produces a shallow copy of an object.

copy(double[]) - Method in class weka.core.AbstractHashableInstance

Copies the instance but fills up its values based on the given array of doubles.

copy(Instances) - Method in class adams.gui.visualization.instances.InstancesTableModel

Returns a new model with the same setup.

copy(ExplorerExt, boolean) - Static method in class weka.gui.explorer.WorkspaceHelper

Copies an explorer instance.

Copy - Class in adams.gui.tools.wekainvestigator.datatable.action

Copies the selected dataset.

Copy() - Constructor for class adams.gui.tools.wekainvestigator.datatable.action.Copy

Instantiates the action.

copyGene(int, int) - Method in class adams.opt.optimise.genetic.AbstractGeneticAlgorithm

Copies the values of one gene to another.

copySelectedTab() - Method in class adams.gui.tools.wekainvestigator.tab.InvestigatorTabbedPane

Creates a copy of the current tab.

CopySetup - Class in adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold

Simply copies the classifier setup to the clipboard.

CopySetup() - Constructor for class adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold.CopySetup

copyTabAt(int) - Method in class adams.gui.tools.wekainvestigator.tab.InvestigatorTabbedPane

Creates a copy of the specified tab.

copyToClipboard() - Method in class adams.gui.tools.wekainvestigator.output.AbstractOutputPanelWithPopupMenu

Copies the content to the clipboard.

copyToClipboard() - Method in class adams.gui.tools.wekainvestigator.output.ComponentContentPanel

Copies the content to the clipboard.

copyToClipboard() - Method in class adams.gui.tools.wekainvestigator.output.TableContentPanel

Copies the content to the clipboard.

copyToClipboard() - Method in class adams.gui.tools.wekainvestigator.output.TextualContentPanel

Copies the content to the clipboard.

copyWorkspace() - Method in class adams.gui.tools.wekainvestigator.InvestigatorManagerPanel

Copies a workspace.

Corr - Class in weka.classifiers.meta

Assume NO MISSING VALUES, all attributes must be NUMERIC (or 0/1 maybe ...).

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

correct(double[], double[]) - Method in class weka.filters.unsupervised.attribute.detrend.AbstractDetrend

Corrects the spectrum.

correct(double[], double[]) - Method in class weka.filters.unsupervised.attribute.detrend.Mean

Corrects the spectrum.

correct(double[], double[]) - Method in class weka.filters.unsupervised.attribute.detrend.RangeBased

Corrects the spectrum.

correct(double[], double[], double[]) - Method in class weka.filters.unsupervised.attribute.multiplicativescattercorrection.AbstractMultiplicativeScatterCorrection

Corrects the spectrum.

correct(double[], double[], double[]) - Method in class weka.filters.unsupervised.attribute.multiplicativescattercorrection.RangeBased

Corrects the spectrum.

correctData(T, double[]) - Method in class adams.data.baseline.AbstractLinearRegressionBased

Corrects the data with the given coefficients.

CORRECTION - Static variable in class weka.filters.unsupervised.attribute.Detrend

CORRECTION - Static variable in class weka.filters.unsupervised.attribute.MultiplicativeScatterCorrection

CORRECTION - Static variable in class weka.filters.unsupervised.attribute.SimpleDetrend

correctionTipText() - Method in class weka.filters.unsupervised.attribute.Detrend

Returns the tip text for this property.

correctionTipText() - Method in class weka.filters.unsupervised.attribute.MultiplicativeScatterCorrection

Returns the tip text for this property.

correctionTipText() - Method in class weka.filters.unsupervised.attribute.SimpleDetrend

Returns the tip text for this property.

correctTipText() - Method in class weka.filters.unsupervised.attribute.SpellChecker

Returns the tip text for this property.

CORRELATION_COEFFICIENT - adams.flow.core.EvaluationStatistic

CORRELATION_COEFFICIENT - adams.flow.core.ExperimentStatistic

CORRELATION_COEFFICIENT - Static variable in class adams.gui.tools.wekamultiexperimenter.analysis.DefaultAnalysisPanel

CorrelationMatrix - Class in weka.filters.unsupervised.attribute

Computes a matrix with the correlation coefficients between attributes.

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

CostCurve - Class in adams.gui.menu

Displays Cost curve data.

CostCurve() - Constructor for class adams.gui.menu.CostCurve

Initializes the menu item with no owner.

CostCurve(AbstractApplicationFrame) - Constructor for class adams.gui.menu.CostCurve

Initializes the menu item.

CostCurvePanel - Class in adams.gui.tools.weka

Displays cost curve data.

CostCurvePanel() - Constructor for class adams.gui.tools.weka.CostCurvePanel

count() - Method in class weka.gui.explorer.MultiExplorer

Returns the number of explorer panels.

countVisible() - Method in class adams.gui.visualization.instance.InstanceContainerManager

Returns the number of visible containers.

COX_REGRESSION - weka.classifiers.trees.XGBoost.Objective

CPU - weka.classifiers.trees.XGBoost.Predictor

create() - Method in class adams.gui.tools.wekamultiexperimenter.io.AbstractExperimentIO

Creates a new experiment.

create() - Method in class adams.gui.tools.wekamultiexperimenter.io.DefaultAdamsExperimentIO

Creates a new experiment.

create() - Method in class adams.gui.tools.wekamultiexperimenter.io.DefaultWekaExperimentIO

Creates a new experiment.

create() - Method in class adams.gui.tools.wekamultiexperimenter.io.RemoteWekaExperimentIO

Creates a new experiment.

createAttribute(String) - Method in class weka.core.converters.SimpleArffLoader

Creates an attribute from the specification line.

createAttributeMapping() - Method in class adams.flow.transformer.wekadatasetsmerge.AbstractMerge

Creates a mapping from the attributes in each input dataset to the corresponding attribute in the merged dataset.

createCellPopup(MouseEvent) - Method in class adams.gui.visualization.instances.InstancesTable

Creates a popup menu for the cells.

createChooserPanel() - Method in class adams.gui.tools.weka.AbstractPanelWithFile

Generates the panel to use.

createChooserPanel() - Method in class adams.gui.tools.weka.CostCurvePanel

Generates the panel to use.

createComponent() - Method in class adams.gui.tools.wekainvestigator.datatable.DataTableWithButtons

Creates the component to use in the panel.

createContainerList() - Method in class adams.gui.visualization.instance.InstancePanel

Returns the container list.

createCustomEditor() - Method in class adams.gui.goe.WekaExperimentFileEditor

Gets the custom editor component.

createDataset(Evaluation) - Method in class adams.flow.sink.WekaClassifierErrors.DataGenerator

Generates a dataset, containing the predicted vs actual values.

createDefaultDataModel() - Method in class adams.gui.visualization.instance.InstanceTable

Creates an empty default model.

createDialog() - Method in class adams.gui.tools.wekainvestigator.source.Clipboard

Creates a new dialog.

createDialog(Container) - Static method in class adams.gui.goe.WekaGenericArrayEditorDialog

Creates a modal dialog for the parent.

createDialog(Container) - Static method in class adams.gui.goe.WekaGenericObjectEditorDialog

Creates a modal dialog for the parent.

createDialog(Container, PropertyEditor) - Static method in class adams.gui.goe.WekaGenericObjectEditorDialog

Creates a modal dialog for the parent with the provided editor.

createDialog(Container, PropertyEditor, Object) - Static method in class adams.gui.goe.WekaGenericObjectEditorDialog

Creates a modal dialog for the parent with the provided editor and initial value.

createDialog(Container, Object) - Static method in class adams.gui.goe.WekaGenericArrayEditorDialog

Creates a modal dialog for the parent with the provided editor and initial value.

createDisplayPanel(Token) - Method in class adams.flow.sink.WekaAttributeSummary

Creates a new display panel for the token.

createDisplayPanel(Token) - Method in class adams.flow.sink.WekaClassifierErrors

Creates a new panel for the token.

createDisplayPanel(Token) - Method in class adams.flow.sink.WekaCostBenefitAnalysis

Creates a new panel for the token.

createDisplayPanel(Token) - Method in class adams.flow.sink.WekaCostCurve

Creates a new panel for the token.

createDisplayPanel(Token) - Method in class adams.flow.sink.WekaGraphVisualizer

Creates a new display panel for the token.

createDisplayPanel(Token) - Method in class adams.flow.sink.WekaInstancesDisplay

Creates a new panel for the token.

createDisplayPanel(Token) - Method in class adams.flow.sink.WekaInstancesPlot

Creates a new panel for the token.

createDisplayPanel(Token) - Method in class adams.flow.sink.WekaInstanceViewer

Creates a new panel for the token.

createDisplayPanel(Token) - Method in class adams.flow.sink.WekaMarginCurve

Creates a new panel for the token.

createDisplayPanel(Token) - Method in class adams.flow.sink.WekaThresholdCurve

Creates a new panel for the token.

createDisplayPanel(Token) - Method in class adams.flow.sink.WekaTreeVisualizer

Creates a new display panel for the token.

createDummy() - Static method in class adams.ml.data.InstancesView

Returns a dummy dataset.

createEmptyResultantDataset(Map<String, List<AbstractMerge.SourceAttribute>>) - Method in class adams.flow.transformer.wekadatasetsmerge.AbstractMerge

Creates the resultant dataset, ready to be filled with data.

createExperimentIO() - Method in class adams.gui.tools.wekamultiexperimenter.setup.AbstractSetupPanel

Creates the handler for the IO, i.e., loading/saving of experiments.

createExperimentIO() - Method in class adams.gui.tools.wekamultiexperimenter.setup.BasicAdamsSetupPanel

Creates the handler for the IO, i.e., loading/saving of experiments.

createExperimentIO() - Method in class adams.gui.tools.wekamultiexperimenter.setup.BasicWekaSetupPanel

Creates the handler for the IO, i.e., loading/saving of experiments.

createFakeModel() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.FromPredictions

Creates the fake model.

createFileChooser() - Method in class adams.gui.tools.wekainvestigator.output.AbstractOutputPanelWithPopupMenu

Creates the filechooser to use.

createFileChooser() - Method in class adams.gui.tools.wekainvestigator.output.ComponentContentPanel

Creates the filechooser to use.

createFileChooser() - Method in class adams.gui.tools.wekainvestigator.output.TableContentPanel

Creates the filechooser to use.

createFileChooser() - Method in class adams.gui.tools.wekainvestigator.output.TextualContentPanel

Creates the filechooser to use.

createFileChooser() - Method in class adams.gui.tools.wekamultiexperimenter.io.AbstractAdamsExperimentIO

Creates and returns a file chooser for loading/saving experiments.

createFileChooser() - Method in class adams.gui.tools.wekamultiexperimenter.io.AbstractExperimentIO

Creates and returns a file chooser for loading/saving experiments.

createFileChooser() - Method in class adams.gui.tools.wekamultiexperimenter.io.AbstractWekaExperimentIO

Creates and returns a file chooser for loading/saving experiments.

createFilename(Instances) - Method in class adams.flow.transformer.WekaInstanceDumper

Generates the filename for the output.

createFileName(double, Instances, String) - Method in class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm.ClassifierBasedGeneticAlgorithmJob

Generates a file name for the fitness.

createFlow(PlaceholderFile[], AbstractFileLoader, SpreadSheetReader, String, PlaceholderDirectory) - Method in class adams.gui.menu.MakeCompatibleDatasets

Creates the flow.

createGraphVisualizer(Token) - Method in class adams.flow.sink.WekaGraphVisualizer

Creates a tree visualizer from the token.

createHeader(Instances) - Method in class adams.flow.transformer.WekaInstanceDumper

Turns the dataset header into the appropriate format.

createHeaderPopup(MouseEvent) - Method in class adams.gui.visualization.instances.InstancesTable

Shows a popup menu for the header.

createHistoryEntryToolTip(AbstractNamedHistoryPanel<ResultItem>, int) - Method in class adams.gui.tools.wekainvestigator.tab.AssociateTab.HistoryPanel

Gets called when a tooltip needs to get generated.

createHistoryEntryToolTip(AbstractNamedHistoryPanel<ResultItem>, int) - Method in class adams.gui.tools.wekainvestigator.tab.AttributeSelectionTab.HistoryPanel

Gets called when a tooltip needs to get generated.

createHistoryEntryToolTip(AbstractNamedHistoryPanel<ResultItem>, int) - Method in class adams.gui.tools.wekainvestigator.tab.ClassifyTab.HistoryPanel

Gets called when a tooltip needs to get generated.

createHistoryEntryToolTip(AbstractNamedHistoryPanel<ResultItem>, int) - Method in class adams.gui.tools.wekainvestigator.tab.ClusterTab.HistoryPanel

Gets called when a tooltip needs to get generated.

createHistoryEntryToolTip(AbstractNamedHistoryPanel<ResultItem>, int) - Method in class adams.gui.tools.wekainvestigator.tab.ExperimentTab.HistoryPanel

Gets called when a tooltip needs to get generated.

createIDInfoPanel(BaseTextArea) - Method in class adams.gui.tools.wekainvestigator.tab.CompareTab

Generates an info panel for an ID text area.

createLastSetupKey(Class, boolean, boolean) - Method in class adams.gui.visualization.instances.InstancesTable

Generates a key for the HashMap used for the last setups.

createMappedAttribute(String, List<AbstractMerge.SourceAttribute>) - Method in class adams.flow.transformer.wekadatasetsmerge.AbstractMerge

Creates the attribute for the output merged dataset for the given attribute mapping.

createMenuItem(ClassifyTab.HistoryPanel, int[]) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.history.CompareModels

Creates the menu item to add to the history's popup menu.

createMenuItem(ClassifyTab.HistoryPanel, int[]) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.history.SubRangeEvaluation

Creates the menu item to add to the history's popup menu.

createMenuItem(PerFoldMultiPagePane, int[]) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold.AbstractPerFoldPopupMenuItem

Creates the menu item to add to the pane's popup menu.

createMenuItem(PerFoldMultiPagePane, int[]) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold.CopySetup

Creates the menu item to add to the pane's popup menu.

createMenuItem(PerFoldMultiPagePane, int[]) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold.SubRangeEvaluation

Creates the menu item to add to the pane's popup menu.

createMenuItem(H, int[]) - Method in class adams.gui.tools.wekainvestigator.history.AbstractHistoryPopupMenuItem

Creates the menu item to add to the history's popup menu.

createMetaLevelHeader(Instances) - Method in class weka.classifiers.meta.ClassifierCascade

Generates the dataset structure for the meta-levels.

createMetaLevelInstance(Instances, Instance) - Method in class weka.classifiers.meta.ClassifierCascade

Generates an instance for the meta-level using the original data.

createModel(InstanceContainerManager) - Method in class adams.gui.visualization.instance.InstanceContainerList

Creates a new model.

createName() - Method in class adams.gui.tools.wekainvestigator.output.AbstractResultItem

Creates the name from the members.

createName() - Method in class adams.gui.tools.wekainvestigator.tab.associatetab.ResultItem

Creates the name from the members.

createName() - Method in class adams.gui.tools.wekainvestigator.tab.attseltab.ResultItem

Creates the name from the members.

createName() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.ResultItem

Creates the name from the members.

createName() - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.ResultItem

Creates the name from the members.

createName() - Method in class adams.gui.tools.wekainvestigator.tab.experimenttab.ResultItem

Creates the name from the members.

createNext() - Method in class weka.classifiers.AbstractSplitGenerator

Creates the next result.

createNext() - Method in class weka.classifiers.BestBinnedNumericClassRandomSplitGenerator

Creates the next result.

createNext() - Method in class weka.classifiers.BinnedNumericClassCrossValidationFoldGenerator

Returns the next element in the iteration.

createNext() - Method in class weka.classifiers.BinnedNumericClassRandomSplitGenerator

Creates the next result.

createNext() - Method in class weka.classifiers.DefaultCrossValidationFoldGenerator

Returns the next element in the iteration.

createNext() - Method in class weka.classifiers.DefaultRandomSplitGenerator

Creates the next result.

createNext() - Method in class weka.classifiers.GroupedBinnedNumericClassCrossValidationFoldGenerator

Returns the next element in the iteration.

createNext() - Method in class weka.classifiers.GroupedBinnedNumericClassRandomSplitGenerator

Creates the next result.

createNext() - Method in class weka.classifiers.GroupedCrossValidationFoldGenerator

Returns the next element in the iteration.

createNext() - Method in class weka.classifiers.GroupedCrossValidationFoldGeneratorUsingNumericClassValues

Returns the next element in the iteration.

createNext() - Method in class weka.classifiers.GroupedRandomSplitGenerator

Creates the next result.

createNext() - Method in class weka.classifiers.LeaveOneOutByValueGenerator

Returns the next element in the iteration.

createNext() - Method in class weka.classifiers.MultiLevelSplitGenerator

Creates the next result.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.associatetab.output.ModelOutput

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.associatetab.output.Rules

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.associatetab.output.RunInformation

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.attseltab.output.ReducedData

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.attseltab.output.RunInformation

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.attseltab.output.TextStatistics

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.AbstractOutputGeneratorWithSeparateFoldsSupport

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ClassifierErrors

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.GraphSource

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyGraphVisualizer

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyTreeVisualizer

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ModelOutput

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.Predictions

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated.Predictions

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated.SamplePlot

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated.Statistics

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.RunInformation

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.SourceCode

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.TextStatistics

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.TreeGraphML

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.TreeVisualizer

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.output.ClusterAssignments

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.output.GraphSource

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.output.LegacyTreeVisualizer

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.output.ModelOutput

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.output.RunInformation

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.output.Supplementary

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.clustertab.output.TextStatistics

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.experimenttab.output.RunInformation

Generates output from the item.

createOutput(ResultItem, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.experimenttab.output.TextOutput

Generates output from the item.

createOutput(T, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.output.AbstractOutputGenerator

Generates output from the item.

createOutput(Evaluation, int[], SpreadSheet, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ClassifierErrors

Generates a plot actor from the evaluation.

createOutput(Evaluation, int[], SpreadSheet, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.Predictions

Generates the output from the evaluation.

createOutput(Evaluation, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.AbstractOutputGeneratorWithSeparateFoldsSupport

Generates the table with the confusion matrix.

createOutput(Evaluation, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ConfusionMatrix

Generates the table with the confusion matrix.

createOutput(Evaluation, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.FourInOnePlot

Creates the 4-in-1 plot for the evaluation.

createOutput(Evaluation, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyClassifierErrors

Generates output from the evaluation.

createOutput(Evaluation, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyCostBenefitAnalysis

Generates output from the evaluation.

createOutput(Evaluation, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyCostCurve

Generates output from the evaluation.

createOutput(Evaluation, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyMarginCurve

Generates output from the evaluation.

createOutput(Evaluation, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.LegacyThresholdCurve

Generates output from the evaluation.

createOutput(Evaluation, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.PredictionEccentricity

Generates the output from the evaluation.

createOutput(Evaluation, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.PredictionTrend

Generates the output for the evaluation.

createOutput(Evaluation, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ResidualsVsFitted

Generates output from the evaluation.

createOutput(Evaluation, MessageCollection) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ResidualsVsPredictor

Generates the output from the evaluation.

createOutput(Evaluation, MetaData) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.TextStatistics

Generates a panel from the results of the evaluation.

createOutputFormat(Instances) - Method in class adams.flow.transformer.wekaclusterer.ClusterCenters

Generates the output format (additional attribute for cluster index).

createOutputFormat(Instances) - Method in class adams.flow.transformer.wekaclusterer.ClusterCounts

Generates the output format (additional attribute for cluster index).

createOutputFormat(Instances) - Method in class adams.flow.transformer.wekaclusterer.ClusterStatistics

Generates the output format (additional attribute for cluster index).

createParamsFromOptions() - Method in class weka.classifiers.trees.XGBoost

Converts the options into a parameter map as expected by XGBoost.

createPlot(InstancesTablePopupMenuItemHelper.TableState, boolean, TDoubleArrayList, String) - Method in class adams.gui.visualization.instances.instancestable.Binning

Generates the plot.

createPlot(InstancesTable, boolean, SpreadSheet, String, int[]) - Method in class adams.gui.visualization.instances.instancestable.JFreeChart

Plots the data.

createPlot(InstancesTable, boolean, List<Double>[], String, String[]) - Method in class adams.gui.visualization.instances.instancestable.SimplePlot

Generates the plot.

createPopup(MouseEvent) - Method in class adams.gui.tools.wekainvestigator.tab.AssociateTab.HistoryPanel

Generates the right-click menu for the JList.

createPopup(MouseEvent) - Method in class adams.gui.tools.wekainvestigator.tab.AttributeSelectionTab.HistoryPanel

Generates the right-click menu for the JList.

createPopup(MouseEvent) - Method in class adams.gui.tools.wekainvestigator.tab.ClassifyTab.HistoryPanel

Generates the right-click menu for the JList.

createPopup(MouseEvent) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold.PerFoldMultiPagePane

Generates the right-click menu for the JList.

createPopup(MouseEvent) - Method in class adams.gui.tools.wekainvestigator.tab.ClusterTab.HistoryPanel

Generates the right-click menu for the JList.

createPopup(MouseEvent) - Method in class adams.gui.tools.wekainvestigator.tab.ExperimentTab.HistoryPanel

Generates the right-click menu for the JList.

createPopupMenu() - Method in class adams.gui.tools.wekainvestigator.output.AbstractOutputPanelWithPopupMenu

Creates and returns the popup menu.

createPopupMenu() - Method in class adams.gui.tools.wekainvestigator.tab.AbstractInvestigatorTab

Creates and returns the popup menu.

createPrefix(Instances, int) - Method in class adams.flow.transformer.WekaInstancesMerge

Generates the prefix for the dataset/index.

createPreview(File) - Method in class adams.gui.tools.previewbrowser.InstanceExplorerHandler

Creates the actual view.

createPreview(File) - Method in class adams.gui.tools.previewbrowser.WekaDatasetHandler

Creates the actual view.

createPreview(Object) - Method in class adams.gui.tools.previewbrowser.GraphSource

Creates the actual preview.

createPreview(Object) - Method in class adams.gui.tools.previewbrowser.GraphVisualizer

Creates the actual preview.

createPreview(Object) - Method in class adams.gui.tools.previewbrowser.InterQuartileRangeViewer

Creates the actual preview.

createPreview(Object) - Method in class adams.gui.tools.previewbrowser.TreeVisualizer

Creates the actual preview.

createRelationName(String, String, int, boolean) - Static method in class weka.classifiers.CrossValidationHelper

Generates a relation name for the current fold.

createRelationName(String, String, String, boolean) - Method in class weka.classifiers.LeaveOneOutByValueGenerator

Generates a relation name for the current value.

createRow(int, String, Instances) - Method in class adams.flow.transformer.wekaclusterer.ClusterStatistics

Creates a new stats row.

createRow(Instance) - Method in class adams.flow.transformer.WekaInstanceDumper

Turns the row into the appropriate format.

createRunner(ExperimenterPanel) - Method in class adams.gui.tools.wekamultiexperimenter.io.AbstractExperimentIO

Creates an experiment runner thread object.

createRunner(ExperimenterPanel) - Method in class adams.gui.tools.wekamultiexperimenter.io.DefaultAdamsExperimentIO

Creates an experiment runner thread object.

createRunner(ExperimenterPanel) - Method in class adams.gui.tools.wekamultiexperimenter.io.DefaultWekaExperimentIO

Creates an experiment runner thread object.

createRunner(ExperimenterPanel) - Method in class adams.gui.tools.wekamultiexperimenter.io.RemoteWekaExperimentIO

Creates an experiment runner thread object.

createSubEvaluation(ClassifyTab.HistoryPanel, ResultItem, double[]) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.history.SubRangeEvaluation

Creates the sub-range evaluation and adds it to the history.

createSubEvaluation(PerFoldMultiPagePane, ResultItem, Evaluation, int, double[]) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold.SubRangeEvaluation

Creates the sub-range evaluation and adds it to the pane.

createSubEvaluations(PerFoldMultiPagePane, ResultItem, Evaluation[], int[], double[]) - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold.SubRangeEvaluation

Creates the sub-range evaluation and adds it to the pane.

createToken(Object, Object) - Method in class adams.flow.transformer.WekaFilter

Creates a token with the data.

createTreeVisualizer(Token) - Method in class adams.flow.sink.WekaTreeVisualizer

Creates a tree visualizer from the token.

createViewTipText() - Method in interface adams.data.weka.InstancesViewCreator

Returns the tip text for this property.

createViewTipText() - Method in class adams.flow.transformer.WekaCrossValidationSplit

Returns the tip text for this property.

createViewTipText() - Method in class adams.flow.transformer.WekaRandomSplit

Returns the tip text for this property.

CROSS_VALIDATION - adams.flow.sink.WekaExperimentGenerator.EvaluationType

cross-validation.

crossValidate(Instances, int) - Method in class weka.filters.supervised.instance.RemoveOutliers

Cross-validates the classifier on the given data.

CrossValidation - Class in adams.gui.tools.wekainvestigator.tab.attseltab.evaluation

Performs cross-validation.

CrossValidation - Class in adams.gui.tools.wekainvestigator.tab.classifytab.evaluation

Performs cross-validation.

CrossValidation - Class in adams.gui.tools.wekainvestigator.tab.clustertab.evaluation

Performs cross-validation.

CrossValidation() - Constructor for class adams.gui.tools.wekainvestigator.tab.attseltab.evaluation.CrossValidation

CrossValidation() - Constructor for class adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.CrossValidation

CrossValidation() - Constructor for class adams.gui.tools.wekainvestigator.tab.clustertab.evaluation.CrossValidation

CrossValidationExperiment - Class in adams.gui.tools.wekamultiexperimenter.experiment

Performs cross-validation.

CrossValidationExperiment() - Constructor for class adams.gui.tools.wekamultiexperimenter.experiment.CrossValidationExperiment

CrossValidationExperiment.CrossValidationExperimentJob - Class in adams.gui.tools.wekamultiexperimenter.experiment

Performs cross-validation on the classifier/data combination.

CrossValidationExperimentJob(CrossValidationExperiment, int, Classifier, Instances) - Constructor for class adams.gui.tools.wekamultiexperimenter.experiment.CrossValidationExperiment.CrossValidationExperimentJob

Initializes the run.

CrossValidationFoldGenerator - Interface in weka.classifiers

Interface for generating cross-validation folds.

CrossValidationHelper - Class in weka.classifiers

Helper class for cross-validation.

CrossValidationHelper() - Constructor for class weka.classifiers.CrossValidationHelper

crossValidationIndices() - Method in class weka.classifiers.BinnedNumericClassCrossValidationFoldGenerator

Returns the cross-validation indices.

crossValidationIndices() - Method in interface weka.classifiers.CrossValidationFoldGenerator

Returns the cross-validation indices.

crossValidationIndices() - Method in class weka.classifiers.DefaultCrossValidationFoldGenerator

Returns the cross-validation indices.

crossValidationIndices() - Method in class weka.classifiers.GroupedBinnedNumericClassCrossValidationFoldGenerator

Returns the cross-validation indices.

crossValidationIndices() - Method in class weka.classifiers.GroupedCrossValidationFoldGenerator

Returns the cross-validation indices.

crossValidationIndices() - Method in class weka.classifiers.GroupedCrossValidationFoldGeneratorUsingNumericClassValues

Returns the cross-validation indices.

crossValidationIndices(Instances, int, Random) - Static method in class weka.classifiers.CrossValidationHelper

Returns the indices from the original dataset for tracing the predictions back to the original dataset (stratified).

crossValidationIndices(Instances, int, Random, boolean) - Static method in class weka.classifiers.CrossValidationHelper

Returns the indices from the original dataset for tracing the predictions back to the original dataset.

crossValidationSeedTipText() - Method in class adams.opt.genetic.AbstractClassifierBasedGeneticAlgorithm

Returns the tip text for this property.

crossValidationSeedTipText() - Method in class adams.opt.optimise.genetic.fitnessfunctions.AbstractWEKAFitnessFunction

Returns the tip text for this property.

CrossValidationSetup - Class in adams.gui.tools.wekainvestigator.tab.experimenttab.setup

Setup for a cross-validation experiment.

CrossValidationSetup() - Constructor for class adams.gui.tools.wekainvestigator.tab.experimenttab.setup.CrossValidationSetup

CSV - adams.flow.sink.WekaExperimentGenerator.ResultFormat

CSV.

CSV - adams.flow.transformer.WekaInstanceDumper.OutputFormat

comma-separated.

CsvOutputPanel - Class in adams.gui.tools.wekamultiexperimenter.setup.weka

Stores the results in a CSV file.

CsvOutputPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.setup.weka.CsvOutputPanel

CTipText() - Method in class adams.data.instancesanalysis.pls.PRM

Returns the tip text for this property

CUSTOM_ADAMS_READER - Static variable in class adams.gui.menu.MakeCompatibleDatasets

CUSTOM_WEKA_FILE_LOADER - Static variable in class adams.gui.menu.MakeCompatibleDatasets

customize(AbstractContainerListPopupCustomizer.Context<Instance, InstanceContainerManager, InstanceContainer>, JPopupMenu) - Method in class adams.gui.visualization.instance.containerlistpopup.SaveAs

Returns a popup menu for the table of the container list.

customize(AbstractContainerListPopupCustomizer.Context<Instance, InstanceContainerManager, InstanceContainer>, JPopupMenu) - Method in class adams.gui.visualization.instance.containerlistpopup.ViewAsTable

Returns a popup menu for the table of the container list.

customize(DataContainerPanelWithContainerList<Instance, InstanceContainerManager, InstanceContainer>, MouseEvent, JPopupMenu) - Method in class adams.gui.visualization.instance.plotpopup.Adjust

Returns a popup menu for the table of the container list.

customize(DataContainerPanelWithContainerList<Instance, InstanceContainerManager, InstanceContainer>, MouseEvent, JPopupMenu) - Method in class adams.gui.visualization.instance.plotpopup.Histogram

Returns a popup menu for the table of the container list.

customize(DataContainerPanelWithContainerList<Instance, InstanceContainerManager, InstanceContainer>, MouseEvent, JPopupMenu) - Method in class adams.gui.visualization.instance.plotpopup.SaveVisible

Returns a popup menu for the table of the container list.

customize(DataContainerPanelWithContainerList<Instance, InstanceContainerManager, InstanceContainer>, MouseEvent, JPopupMenu) - Method in class adams.gui.visualization.instance.plotpopup.Viewport

Returns a popup menu for the table of the container list.

customLoaderTipText() - Method in class adams.flow.transformer.WekaFileReader

Returns the tip text for this property.

customLoaderTipText() - Method in class adams.flow.transformer.WekaReorderAttributesToReference

Returns the tip text for this property.

customLoaderTipText() - Method in class weka.filters.unsupervised.instance.AlignDataset

Returns the tip text for this property.

customLoaderTipText() - Method in class weka.filters.unsupervised.instance.RemoveTestInstances

Returns the tip text for this property.

CustomOutputPanel - Class in adams.gui.tools.wekamultiexperimenter.setup.weka

Allows the user to configure any ResultListener.

CustomOutputPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.setup.weka.CustomOutputPanel

customPaintletTipText() - Method in class adams.gui.tools.wekainvestigator.tab.classifytab.output.ClassifierErrors

Returns the tip text for this property.

CustomPropertySheetPanel() - Constructor for class adams.gui.wizard.WekaPropertySheetPanelPage.CustomPropertySheetPanel

customPropsFileTipText() - Method in class adams.flow.sink.WekaDatabaseWriter

Returns the tip text for this property.

customPropsFileTipText() - Method in class adams.flow.source.WekaDatabaseReader

Returns the tip text for this property.

customSaverTipText() - Method in class adams.flow.sink.WekaFileWriter

Returns the tip text for this property.

customStopMessageTipText() - Method in class adams.flow.source.WekaSelectDataset

Returns the tip text for this property.

CYCLIC - weka.classifiers.trees.XGBoost.FeatureSelector

D

DarkLord - Class in adams.gui.menu

For optimizing datasets (attribute selection) using genetic algorithm.

DarkLord - Class in adams.opt.genetic

DarkLord() - Constructor for class adams.gui.menu.DarkLord

Initializes the menu item with no owner.

DarkLord() - Constructor for class adams.opt.genetic.DarkLord

DarkLord(AbstractApplicationFrame) - Constructor for class adams.gui.menu.DarkLord

Initializes the menu item.

DarkLord.DarkLordJob - Class in adams.opt.genetic

A job class specific to The Dark Lord.

DarkLordJob(DarkLord, int, int[], Instances, Instances) - Constructor for class adams.opt.genetic.DarkLord.DarkLordJob

Initializes the job.

DART - weka.classifiers.trees.XGBoost.BoosterType

DATA - adams.opt.genetic.OutputType

only the data.

Database - Class in adams.gui.tools.wekainvestigator.source

For loading data from a database.

Database() - Constructor for class adams.gui.tools.wekainvestigator.source.Database

Instantiates the action.

DatabaseContainer - Class in adams.gui.tools.wekainvestigator.data

Dataset loaded from database.

DatabaseContainer(String, String, String, String) - Constructor for class adams.gui.tools.wekainvestigator.data.DatabaseContainer

Loads the data using the specified url/query.

DataCellView - Class in adams.ml.data

Wrapper for single cell values in a Instance object.

DataCellView(InstanceView, int) - Constructor for class adams.ml.data.DataCellView

Initializes the cell.

dataChanged(DataChangeEvent) - Method in class adams.gui.visualization.instance.InstanceExplorer

Gets called if the data of the instance panel has changed.

dataChanged(WekaInvestigatorDataEvent) - Method in interface adams.gui.event.WekaInvestigatorDataListener

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.AbstractInvestigatorTab

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.AbstractInvestigatorTabWithDataTable

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.AbstractInvestigatorTabWithEditableDataTable

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.AssociateTab

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.AttributeSelectionTab

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.BoxPlotTab

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.ClassifyTab

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.ClusterTab

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.CompareTab

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.DataQueryTab

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.DataTab

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.ExperimentTab

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.IndependentComponentsTab

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.InstanceTab

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.LogTab

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.MatrixTab

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.PartialLeastSquaresTab

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.PreprocessTab

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.PrincipalComponentsTab

Notifies the tab that the data changed.

dataChanged(WekaInvestigatorDataEvent) - Method in class adams.gui.tools.wekainvestigator.tab.ScatterPlotTab

Notifies the tab that the data changed.

DataContainer - Interface in adams.gui.tools.wekainvestigator.data

Interface for data containers.

DataContainerList - Class in adams.gui.tools.wekainvestigator.data

For managing the data containers.

DataContainerList() - Constructor for class adams.gui.tools.wekainvestigator.data.DataContainerList

DataGenerator - Class in adams.gui.tools.wekainvestigator.source

For generating data using a data generator.

DataGenerator() - Constructor for class adams.gui.tools.wekainvestigator.source.DataGenerator

Instantiates the action.

DataGenerator(Evaluation, AbstractErrorScaler) - Constructor for class adams.flow.sink.WekaClassifierErrors.DataGenerator

Initializes the generator.

DataGeneratorContainer - Class in adams.gui.tools.wekainvestigator.data

Dataset generated by datagenerator.

DataGeneratorContainer(DataGenerator) - Constructor for class adams.gui.tools.wekainvestigator.data.DataGeneratorContainer

Loads the data using the specified loader.

dataGeneratorTipText() - Method in class adams.flow.source.WekaDataGenerator

Returns the tip text for this property.

DataInfo(String, int, double, double) - Constructor for class adams.opt.optimise.genetic.PackDataDef.DataInfo

DataQueryTab - Class in adams.gui.tools.wekainvestigator.tab

Allows the execution of an SQL-like query to manipulate datasets.

DataQueryTab() - Constructor for class adams.gui.tools.wekainvestigator.tab.DataQueryTab

dataRowTypeTipText() - Method in class adams.data.conversion.WekaInstancesToSpreadSheet

Returns the tip text for this property.

dataset - Variable in class weka.classifiers.lazy.LWLDatasetBuilder.LWLContainer

the weighted dataset.

dataset() - Method in class weka.core.AbstractHashableInstance

Returns the dataset this instance has access to.

DATASET - adams.flow.transformer.WekaFileReader.OutputType

the complete dataset.

DATASET_KEYWORD - Static variable in class adams.flow.transformer.wekadatasetsmerge.AbstractMerge

The keyword to replace with the dataset name in attribute renaming.

DATASET_NAME - Static variable in interface adams.flow.transformer.indexedsplitsrunsgenerator.InstancesIndexedSplitsRunsGenerator

DATASET_NUMATTRIBUTES - Static variable in interface adams.flow.transformer.indexedsplitsrunsgenerator.InstancesIndexedSplitsRunsGenerator

DATASET_NUMINSTANCES - Static variable in interface adams.flow.transformer.indexedsplitsrunsgenerator.InstancesIndexedSplitsRunsGenerator

dataset1TipText() - Method in class adams.tools.CompareDatasets

Returns the tip text for this property.

dataset2TipText() - Method in class adams.tools.CompareDatasets

Returns the tip text for this property.

DatasetCleaner - Class in weka.filters.unsupervised.attribute

Removes all columns from the data data that have been indentified.

DatasetCleaner - Class in weka.filters.unsupervised.instance

Removes all rows from the data data that have been indentified.

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

DatasetCleaner() - Constructor for class weka.filters.unsupervised.instance.DatasetCleaner

DatasetCompatibility - Class in adams.gui.menu

For checking compatibility of datasets.

DatasetCompatibility() - Constructor for class adams.gui.menu.DatasetCompatibility

Initializes the menu item with no owner.

DatasetCompatibility(AbstractApplicationFrame) - Constructor for class adams.gui.menu.DatasetCompatibility

Initializes the menu item.

DatasetCompatibilityPanel - Class in adams.gui.tools

Compares the headers of a number of datasets and outputs the results.

DatasetCompatibilityPanel() - Constructor for class adams.gui.tools.DatasetCompatibilityPanel

DatasetFileChooserPanel - Class in adams.gui.chooser

A panel that contains a text field with the current file and a button for bringing up a ConverterFileChooser.

DatasetFileChooserPanel() - Constructor for class adams.gui.chooser.DatasetFileChooserPanel

Initializes the panel with no file.

DatasetFileChooserPanel(File) - Constructor for class adams.gui.chooser.DatasetFileChooserPanel

Initializes the panel with the given filename/directory.

DatasetFileChooserPanel(String) - Constructor for class adams.gui.chooser.DatasetFileChooserPanel

Initializes the panel with the given filename/directory.

datasetForSingleInstance(Instance) - Method in class adams.flow.transformer.WekaDatasetsMerge

Creates an Instances dataset, containing a copy of the single instance provided.

DatasetHelper - Class in adams.gui.tools.wekainvestigator.evaluation

Helper class for dealing with datasets.

DatasetHelper() - Constructor for class adams.gui.tools.wekainvestigator.evaluation.DatasetHelper

datasetIndex - Variable in class adams.flow.transformer.wekadatasetsmerge.AbstractMerge.SourceAttribute

The index of the source dataset.

DatasetIndexer() - Constructor for class adams.gui.visualization.instance.InstanceComparePanel.DatasetIndexer

Initializes the indexer.

DatasetLabeler - Class in weka.filters.unsupervised.instance

Adds an additional attribute to the dataset containing a label whether it was a match or not, i.e., whether the row finder selected a particular row or not.

DatasetLabeler() - Constructor for class weka.filters.unsupervised.instance.DatasetLabeler

datasetNamesTipText() - Method in class adams.flow.transformer.wekadatasetsmerge.AbstractMerge

Gets the tip-text for the dataset names option.

DatasetPanel - Class in adams.gui.tools.wekamultiexperimenter.setup

Panel for listing datasets.

DatasetPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.setup.DatasetPanel

DatasetPanel(String, String) - Constructor for class adams.gui.visualization.instance.InstanceComparePanel.DatasetPanel

Initializes the panel.

DATASETS - adams.gui.tools.wekainvestigator.tab.AbstractInvestigatorTab.SerializationOption

datasetsTipText() - Method in class adams.gui.tools.wekamultiexperimenter.experiment.AbstractExperiment

Returns the tip text for this property.

datasetTipText() - Method in class adams.flow.transformer.WekaStoreInstance

Returns the tip text for this property.

datasetTipText() - Method in class adams.opt.optimise.genetic.fitnessfunctions.AbstractWEKAFitnessFunction

Returns the tip text for this property.

DataSort - Class in adams.gui.visualization.instances.instancestable

Allows sorting the data using multiple columns.

DataSort() - Constructor for class adams.gui.visualization.instances.instancestable.DataSort

DataTab - Class in adams.gui.tools.wekainvestigator.tab

Lists the currently loaded datasets.

DataTab() - Constructor for class adams.gui.tools.wekainvestigator.tab.DataTab

DataTable - Class in adams.gui.tools.wekainvestigator.datatable

Specialized table with custom cell editors for the class.

DataTable(DataTableModel) - Constructor for class adams.gui.tools.wekainvestigator.datatable.DataTable

Constructs a DataTable that is initialized with dm as the data model, a default column model, and a default selection model.

DataTableModel - Class in adams.gui.tools.wekainvestigator.datatable

Model for displaying the loaded data.

DataTableModel(List<DataContainer>, boolean) - Constructor for class adams.gui.tools.wekainvestigator.datatable.DataTableModel

Initializes the model.

dataTableSelectionChanged() - Method in class adams.gui.tools.wekainvestigator.tab.AbstractInvestigatorTabWithDataTable

Gets called when the user changes the selection.

dataTableSelectionChanged() - Method in class adams.gui.tools.wekainvestigator.tab.AbstractInvestigatorTabWithEditableDataTable

Gets called when the user changes the selection.

dataTableSelectionChanged() - Method in class adams.gui.tools.wekainvestigator.tab.BoxPlotTab

Gets called when the user changes the selection.

dataTableSelectionChanged() - Method in class adams.gui.tools.wekainvestigator.tab.DataQueryTab

Gets called when the user changes the selection.

dataTableSelectionChanged() - Method in class adams.gui.tools.wekainvestigator.tab.DataTab

Gets called when the user changes the selection.

dataTableSelectionChanged() - Method in class adams.gui.tools.wekainvestigator.tab.MatrixTab

Gets called when the user changes the selection.

dataTableSelectionChanged() - Method in class adams.gui.tools.wekainvestigator.tab.PreprocessTab

Gets called when the user changes the selection.

dataTableSelectionChanged() - Method in class adams.gui.tools.wekainvestigator.tab.ScatterPlotTab

Gets called when the user changes the selection.

DataTableWithButtons - Class in adams.gui.tools.wekainvestigator.datatable

Specialized table with buttons.

DataTableWithButtons(DataTableModel) - Constructor for class adams.gui.tools.wekainvestigator.datatable.DataTableWithButtons

Constructs a DataTableWithButtons that is initialized with dm as the data model, a default column model, and a default selection model.

dataTypeTipText() - Method in class adams.flow.transformer.WekaInstancesHistogramRanges

Returns the tip text for this property.

dataTypeTipText() - Method in class adams.flow.transformer.WekaInstancesStatistic

Returns the tip text for this property.

DATE_ATTRIBUTES - adams.flow.core.Capability

can handle date attributes.

DATE_CLASS - adams.flow.core.Capability

can handle date classes.

DEBUG - weka.classifiers.trees.XGBoost.Verbosity

DEBUG - Static variable in class weka.filters.unsupervised.instance.multirowprocessor.AbstractMultiRowProcessorPlugin

debugMsg(String) - Method in class weka.filters.unsupervised.instance.multirowprocessor.AbstractMultiRowProcessorPlugin

Outputs a debugging message on stderr.

debugMsg(String) - Method in class weka.filters.unsupervised.instance.MultiRowProcessor

Outputs a debugging message on stderr.

debugTipText() - Method in class weka.core.converters.SpreadSheetLoader

the tip text for this property

debugTipText() - Method in class weka.filters.unsupervised.instance.multirowprocessor.AbstractMultiRowProcessorPlugin

Returns the tip text for this property.

DEFAULT - weka.classifiers.trees.XGBoost.Predictor

DEFAULT - weka.classifiers.trees.XGBoost.ProcessType

DEFAULT_AMOUNT - Static variable in class weka.filters.unsupervised.instance.LatestRecords

the default number of records to keep.

DEFAULT_ATT_RANGE - Static variable in class weka.filters.unsupervised.instance.KennardStone

DEFAULT_ATTNAME - Static variable in class weka.filters.unsupervised.instance.LatestRecords

the default attribute name.

DEFAULT_CLASS - Static variable in class adams.flow.source.WekaNewInstances

the class attribute name (if not specified explicitly).

DEFAULT_CLASS_INDEX - Static variable in class weka.classifiers.meta.ClassifierCascade

DEFAULT_COMBINATION - Static variable in class weka.classifiers.meta.ClassifierCascade

DEFAULT_DATE_FORMAT - Static variable in class adams.flow.source.WekaNewInstances

the default date format.

DEFAULT_FORMAT - Static variable in class weka.filters.unsupervised.attribute.StringToDate

DEFAULT_GROUP - Static variable in class weka.filters.unsupervised.instance.multirowprocessor.selection.GroupExpression

DEFAULT_HOLDOUT_PERCENTAGE - Static variable in class weka.classifiers.meta.ClassifierCascade

DEFAULT_MAX_CLASS_RANGE_PERCENTAGE - Static variable in class weka.classifiers.meta.MinMaxLimits

the default class range percentage for the lower limit.

DEFAULT_MAX_DECIMAL_PLACES - Static variable in class weka.core.converters.SimpleArffSaver

the default number of decimal places.

DEFAULT_MAX_HANDLING - Static variable in class weka.classifiers.meta.MinMaxLimits

the default handling of the lower limit.

DEFAULT_MAX_LEVELS - Static variable in class weka.classifiers.meta.ClassifierCascade

DEFAULT_MAX_MANUAL - Static variable in class weka.classifiers.meta.MinMaxLimits

the default manual limit of the lower limit.

DEFAULT_MIN_CLASS_RANGE_PERCENTAGE - Static variable in class weka.classifiers.meta.MinMaxLimits

the default class range percentage for the lower limit.

DEFAULT_MIN_HANDLING - Static variable in class weka.classifiers.meta.MinMaxLimits

the default handling of the lower limit.

DEFAULT_MIN_IMPROVEMENT - Static variable in class weka.classifiers.meta.ClassifierCascade

DEFAULT_MIN_MANUAL - Static variable in class weka.classifiers.meta.MinMaxLimits

the default manual limit of the lower limit.

DEFAULT_NAME - Static variable in class weka.filters.unsupervised.instance.DatasetLabeler

the default name of the attribute.

DEFAULT_NAME - Static variable in class weka.gui.explorer.MultiExplorer

the default name for new panels.

DEFAULT_NAME_FIRST - Static variable in class weka.filters.unsupervised.attribute.MergeTwoAttributes

the default first attribute name.

DEFAULT_NAME_SECOND - Static variable in class weka.filters.unsupervised.attribute.MergeTwoAttributes

the default second attribute name.

DEFAULT_NUM_FOLDS - Static variable in class weka.classifiers.meta.ClassifierCascade

DEFAULT_NUM_THREADS - Static variable in class weka.classifiers.meta.ClassifierCascade

DEFAULT_NUMBER_IN_SUBSET - Static variable in class weka.filters.unsupervised.instance.KennardStone

DEFAULT_PRE_FILTER - Static variable in class weka.filters.unsupervised.instance.KennardStone

DEFAULT_PREFIX - Static variable in class weka.filters.unsupervised.attribute.OuterProductAnalysis

DEFAULT_REGEXP - Static variable in class weka.filters.unsupervised.attribute.OuterProductAnalysis

DEFAULT_REMOVE_CHARS - Static variable in class weka.filters.unsupervised.attribute.MergeManyAttributes

characters to remove from start/end of the merged name.

DEFAULT_REMOVE_CHARS - Static variable in class weka.filters.unsupervised.attribute.MergeTwoAttributes

characters to remove from start/end of the merged name.

DEFAULT_STATISTIC - Static variable in class weka.classifiers.meta.ClassifierCascade

DEFAULT_THRESHOLD - Static variable in class weka.classifiers.meta.ClassifierCascade

DEFAULT_THRESHOLD_CHECK - Static variable in class weka.classifiers.meta.ClassifierCascade

DefaultAdamsExperimentIO - Class in adams.gui.tools.wekamultiexperimenter.io

Default IO handler for experiments.

DefaultAdamsExperimentIO() - Constructor for class adams.gui.tools.wekamultiexperimenter.io.DefaultAdamsExperimentIO

DefaultAnalysisPanel - Class in adams.gui.tools.wekamultiexperimenter.analysis

Default panel for analyzing results from experiments.

DefaultAnalysisPanel() - Constructor for class adams.gui.tools.wekamultiexperimenter.analysis.DefaultAnalysisPanel

DefaultAnalysisPanel.HistoryPanel - Class in adams.gui.tools.wekamultiexperimenter.analysis

Customized history panel.

defaultClassifierOptions() - Method in class weka.classifiers.meta.HighLowSplit

String describing options for default classifier.

defaultClassifierOptions() - Method in class weka.classifiers.meta.HighLowSplitSingleClassifier

String describing options for default classifier.

defaultClassifierString() - Method in class weka.classifiers.lazy.LWLSynchro

Default classifier classname.

defaultClassifierString() - Method in class weka.classifiers.lazy.LWLSynchroPrefilter

Default classifier classname.

defaultClassifierString() - Method in class weka.classifiers.meta.AbstainingClassifierWrapper

String describing default classifier.

defaultClassifierString() - Method in class weka.classifiers.meta.ClassificationViaRegressionD

String describing default classifier.

defaultClassifierString() - Method in class weka.classifiers.meta.Corr

String describing default classifier.

defaultClassifierString() - Method in class weka.classifiers.meta.HighLowSplit

String describing default classifier.

defaultClassifierString() - Method in class weka.classifiers.meta.HighLowSplitSingleClassifier

String describing default classifier.

defaultColorTipText() - Method in class adams.gui.visualization.instance.ReportColorInstancePaintlet

Returns the tip text for this property.

DefaultCrossValidationFoldGenerator - Class in weka.classifiers

Helper class for generating cross-validation folds.

DefaultCrossValidationFoldGenerator() - Constructor for class weka.classifiers.DefaultCrossValidationFoldGenerator

Initializes the generator.

DefaultCrossValidationFoldGenerator(Instances, int, long, boolean) - Constructor for class weka.classifiers.DefaultCrossValidationFoldGenerator

Initializes the generator.

DefaultCrossValidationFoldGenerator(Instances, int, long, boolean, boolean, String) - Constructor for class weka.classifiers.DefaultCrossValidationFoldGenerator

Initializes the generator.

DefaultHandler - Class in weka.gui.explorer

Dummy handler, in case no other handler was located for an explorer panel.

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

DefaultRandomSplitGenerator - Class in weka.classifiers

Generates random splits of datasets.

DefaultRandomSplitGenerator() - Constructor for class weka.classifiers.DefaultRandomSplitGenerator

Initializes the generator.

DefaultRandomSplitGenerator(Instances, double) - Constructor for class weka.classifiers.DefaultRandomSplitGenerator

Initializes the generator.

DefaultRandomSplitGenerator(Instances, long, double) - Constructor for class weka.classifiers.DefaultRandomSplitGenerator

Initializes the generator.

DefaultRandomSplitGenerator(Instances, long, double, boolean) - Constructor for class weka.classifiers.DefaultRandomSplitGenerator

Initializes the generator.

DefaultWekaExperimentIO - Class in adams.gui.tools.wekamultiexperimenter.io

Default IO handler for experiments.

DefaultWekaExperimentIO() - Constructor for class adams.gui.tools.wekamultiexperimenter.io.DefaultWekaExperimentIO

DefaultWekaExperimentRunner - Class in adams.gui.tools.wekamultiexperimenter.runner

A class that handles running a copy of the experiment in a separate thread.

DefaultWekaExperimentRunner(ExperimenterPanel) - Constructor for class adams.gui.tools.wekamultiexperimenter.runner.DefaultWekaExperimentRunner

Initializes the thread.

defineOptions() - Method in class adams.core.discovery.genetic.AbstractGeneticDoubleMatrixDiscoveryHandler

Adds options to the internal list of options.

defineOptions() - Method in class adams.core.discovery.genetic.GenericDoubleResolution

Adds options to the internal list of options.

defineOptions() - Method in class adams.core.discovery.genetic.GenericFloatResolution

Adds options to the internal list of options.

defineOptions() - Method in class adams.core.discovery.genetic.GenericInteger

Adds options to the internal list of options.

defineOptions() - Method in class adams.core.discovery.genetic.GenericString

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.baseline.AbstractLinearRegressionBased

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.conversion.MapToWekaInstance

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.conversion.MatchWekaInstanceAgainstFileHeader

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.conversion.MatchWekaInstanceAgainstStorageHeader

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.conversion.ReportToWekaInstance

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.conversion.SpreadSheetToWekaInstances

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.conversion.SwapPLS

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.conversion.WekaCapabilitiesToInstances

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.conversion.WekaCommandToCode

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.conversion.WekaEvaluationToCostCurve

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.conversion.WekaEvaluationToThresholdCurve

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.conversion.WekaInstancesToSpreadSheet

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.conversion.WekaPredictionContainerToSpreadSheet

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.instances.AbstractInstanceGenerator

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.instancesanalysis.FastICA

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.instancesanalysis.PCA

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.instancesanalysis.pls.AbstractMultiClassPLS

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.instancesanalysis.pls.AbstractPLS

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.instancesanalysis.PLS

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.instancesanalysis.pls.DIPLS

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.instancesanalysis.pls.KernelPLS

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.instancesanalysis.pls.NIPALS

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.instancesanalysis.pls.OPLS

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.instancesanalysis.pls.PRM

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.instancesanalysis.pls.SIMPLS

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.instancesanalysis.pls.SparsePLS

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.instancesanalysis.pls.VCPLS

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.io.input.NestedAdamsExperimentReader

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.spreadsheet.filter.WekaFilter

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.classattribute.AttributeIndex

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.classattribute.ByExactName

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.classattribute.ByName

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.columnfinder.AbstractFilteredColumnFinder

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.columnfinder.ByExactName

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.columnfinder.ByName

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.columnfinder.Constant

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.columnfinder.MultiColumnFinder

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.columnfinder.RowFilteredColumnFinder

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.datasetsplitter.ColumnSplitter

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.datasetsplitter.RowSplitter

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.evaluator.AbstractCrossvalidatedInstanceEvaluator

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.evaluator.AbstractDatasetInstanceEvaluator

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.evaluator.IntervalEstimatorBased

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.predictions.AutoScaler

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.predictions.FixedSizeErrorScaler

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.predictions.NumericErrorScalerWithReference

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.predictions.RelativeNumericErrorScaler

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.relationname.AttributeIndex

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.rowfinder.AbstractFilteredRowFinder

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.rowfinder.ByLabel

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.rowfinder.ByNumericRange

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.rowfinder.ByNumericValue

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.rowfinder.Constant

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.rowfinder.FilteredIQR

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.weka.rowfinder.MultiRowFinder

Adds options to the internal list of options.

defineOptions() - Method in class adams.data.wekapyroproxy.FusionJsonCommunicationProcessor

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.condition.bool.AbstractAttributeCapabilities

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.condition.bool.WekaClassification

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.sink.WekaAttributeSummary

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.sink.WekaClassifierErrors

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.sink.WekaCostBenefitAnalysis

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.sink.WekaCostCurve

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.sink.WekaDatabaseWriter

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.sink.WekaExperimentFileWriter

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.sink.WekaExperimentGenerator

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.sink.WekaFileWriter

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.sink.WekaInstancesPlot

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.sink.WekaInstanceViewer

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.sink.WekaThresholdCurve

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.source.AbstractWekaSetupGenerator

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.source.WekaAssociatorSetup

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.source.WekaClassifierSetup

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.source.WekaClustererSetup

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.source.WekaDatabaseReader

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.source.WekaDataGenerator

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.source.WekaNewExperiment

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.source.WekaNewInstances

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.source.WekaPackageManagerAction

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.source.wekapackagemanageraction.ListPackages

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.source.WekaSelectDataset

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.standalone.WekaPackageManagerAction

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.template.InstanceDumperVariable

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.AbstractCallableWekaClassifierEvaluator

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.AbstractCallableWekaClustererEvaluator

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.AbstractInstanceGenerator

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.AbstractProcessWekaInstanceWithModel

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.AbstractWekaClassifierEvaluator

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.AbstractWekaModelReader

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.AbstractWekaPredictionsTransformer

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.indexedsplitsrunsevaluation.InstancesIndexedSplitsRunsEvaluation

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.indexedsplitsrunsgenerator.AbstractInstancesIndexedSplitsRunsGenerator

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.indexedsplitsrunsgenerator.InstancesCrossValidationFoldGenerator

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.indexedsplitsrunsgenerator.InstancesGroupedCrossValidationFoldGenerator

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.indexedsplitsrunsgenerator.InstancesGroupedRandomSplitGenerator

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.indexedsplitsrunsgenerator.InstancesRandomSplitGenerator

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.indexedsplitsrunspredictions.InstancesIndexedSplitsRunsPredictions

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.WekaAccumulatedError

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.WekaAttributeIterator

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.WekaAttributeSelection

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.WekaBootstrapping

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.WekaChooseAttributes

Adds options to the internal list of options.