Uses of Class
adams.gui.tools.wekainvestigator.tab.classifytab.output.AbstractOutputGenerator

Packages that use AbstractOutputGenerator

Package	Description
adams.gui.tools.wekainvestigator.tab
adams.gui.tools.wekainvestigator.tab.classifytab.output
adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold
adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated

Uses of AbstractOutputGenerator in adams.gui.tools.wekainvestigator.tab

Fields in adams.gui.tools.wekainvestigator.tab declared as AbstractOutputGenerator

Modifier and Type	Field	Description
protected AbstractOutputGenerator[]	ClassifyTab.m_OutputGenerators	the output generators to use.

Methods in adams.gui.tools.wekainvestigator.tab that return AbstractOutputGenerator

Modifier and Type	Method	Description
protected AbstractOutputGenerator	ClassifyTab.HistoryPanel.configureOutput(AbstractOutputGenerator generator)	Prompts the user with a GOE for configuring the output generator and returns it if accepted.
AbstractOutputGenerator[]	ClassifyTab.getOutputGenerators()	Returns the current output generators.

Methods in adams.gui.tools.wekainvestigator.tab with parameters of type AbstractOutputGenerator

Modifier and Type	Method	Description
protected void	ClassifyTab.HistoryPanel.compareOutput(AbstractOutputGenerator generator, int[] indices)	Prompts the user with a GOE for configuring the output generator and then displays the generated outputs side by side.
protected AbstractOutputGenerator	ClassifyTab.HistoryPanel.configureOutput(AbstractOutputGenerator generator)	Prompts the user with a GOE for configuring the output generator and returns it if accepted.
protected void	ClassifyTab.HistoryPanel.generateOutput(AbstractOutputGenerator generator, ResultItem item)	Prompts the user with a GOE for configuring the output generator and then generates the output.
void	ClassifyTab.setOutputGenerators(AbstractOutputGenerator[] value)	Sets the output generators to use.

Uses of AbstractOutputGenerator in adams.gui.tools.wekainvestigator.tab.classifytab.output

Subclasses of AbstractOutputGenerator in adams.gui.tools.wekainvestigator.tab.classifytab.output

Modifier and Type	Class	Description
class	AbstractOutputGeneratorWithFoldModelsSupport<T extends JComponent>	Ancestor for output generators that can generate output for separate folds just using the Classifier objects.
class	AbstractOutputGeneratorWithSeparateFoldsSupport<T extends JComponent>	Ancestor for output generators that can generate output for separate folds just using the Evaluation objects.
class	ClassifierErrors	Generates classifier errors plot.
class	ConfusionMatrix	Displays the confusion matrix.
class	FourInOnePlot	Generates the 4-in-1 plot: normal plot, histogram, residuals vs fit and vs order.
class	GraphSource	Displays the source code of the graph (dot or XML BIF).
class	LegacyClassifierErrors	Generates classifier errors plot (legacy Weka output).
class	LegacyCostBenefitAnalysis	Generates cost benefit analysis (legacy Weka output).
class	LegacyCostCurve	Generates cost curve (legacy Weka output).
class	LegacyGraphVisualizer	Displays the graph that the model generated (legacy Weka output).
class	LegacyMarginCurve	Generates margin curve (legacy Weka output).
class	LegacyThresholdCurve	Generates margin curve (legacy Weka output).
class	LegacyTreeVisualizer	Displays the tree that the model generated (legacy Weka output).
class	ModelOutput	Outputs the model if available.
class	PredictionEccentricity	Generates classifier prediction eccentricity.
class	Predictions	Displays the predictions.
class	PredictionTrend	Generates a 'prediction trend' for classifier errors: sorts the predictions on the actual value and plots actual and predicted side-by-side.
class	ResidualsVsFitted	Plots the residuals vs the fitted values (= predictions).
class	ResidualsVsPredictor	Plots the residuals vs the predictor.
class	RunInformation	Generates run information.
class	SourceCode	Outputs source code from the model (if classifier implements Sourcable).
class	TextStatistics	Generates basic text statistic.
class	TreeGraphML	Displays the GraphML source code of the tree graph.
class	TreeVisualizer	Displays the tree that the model generated.

Uses of AbstractOutputGenerator in adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold

Fields in adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold declared as AbstractOutputGenerator

Modifier and Type	Field	Description
protected AbstractOutputGenerator	AbstractPerFoldPopupMenuItem.m_OutputGenerator	the originating output generator.
protected AbstractOutputGenerator	PerFoldMultiPagePane.m_OutputGenerator	the output generator used.

Methods in adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold that return AbstractOutputGenerator

Modifier and Type	Method	Description
AbstractOutputGenerator	AbstractPerFoldPopupMenuItem.getOutputGenerator()	Returns the output generator.
AbstractOutputGenerator	PerFoldMultiPagePane.getOutputGenerator()	Returns the underlying output generator.

Methods in adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold with parameters of type AbstractOutputGenerator

Modifier and Type	Method	Description
void	AbstractPerFoldPopupMenuItem.setOutputGenerator(AbstractOutputGenerator value)	Sets the output generator.
static void	AbstractPerFoldPopupMenuItem.updatePopupMenu(PerFoldMultiPagePane pane, AbstractOutputGenerator generator, int[] indices, JPopupMenu menu)	Updates the menu.

Constructors in adams.gui.tools.wekainvestigator.tab.classifytab.output.perfold with parameters of type AbstractOutputGenerator

Constructor	Description
PerFoldMultiPagePane(AbstractOutputGenerator generator, ResultItem item, Class uiclass)	Initializes the pane.

Uses of AbstractOutputGenerator in adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated

Subclasses of AbstractOutputGenerator in adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated

Modifier and Type	Class	Description
class	Predictions	Generates statistics for predictions from repeated cross-validation runs.
class	SamplePlot	Generates a plot with statistics derived for each sample across the cross-validation runs.
class	Statistics	Generates statistics for repeated cross-validation runs.