Uses of Class
adams.gui.tools.wekainvestigator.tab.classifytab.ResultItem

Packages that use ResultItem

Package	Description
adams.gui.tools.wekainvestigator.tab
adams.gui.tools.wekainvestigator.tab.classifytab
adams.gui.tools.wekainvestigator.tab.classifytab.evaluation
adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.finalmodel
adams.gui.tools.wekainvestigator.tab.classifytab.history
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 ResultItem in adams.gui.tools.wekainvestigator.tab

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

Modifier and Type	Method	Description
ResultItem	ClassifyTab.HistoryPanel.removeEntry(String name)	Removes the specified entry.

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

Modifier and Type	Method	Description
void	ClassifyTab.generateOutput(ResultItem item)	Generates the output from the item.
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.
protected void	ClassifyTab.HistoryPanel.regenerateOutput(ResultItem item)	Regenerates the output.
protected void	ClassifyTab.HistoryPanel.saveModel(ResultItem item)	Saves the model to a file.

Method parameters in adams.gui.tools.wekainvestigator.tab with type arguments of type ResultItem

Modifier and Type	Method	Description
String	ClassifyTab.HistoryPanel.createHistoryEntryToolTip(AbstractNamedHistoryPanel<ResultItem> history, int index)	Gets called when a tooltip needs to get generated.

Uses of ResultItem in adams.gui.tools.wekainvestigator.tab.classifytab

Methods in adams.gui.tools.wekainvestigator.tab.classifytab that return ResultItem

Modifier and Type	Method	Description
ResultItem	ResultItem.update(int[] original)	Updates the item.
ResultItem	ResultItem.update(MetaData runInfo)	Updates the item.
ResultItem	ResultItem.update(SpreadSheet additional)	Updates the item.
ResultItem	ResultItem.update(weka.classifiers.Classifier model)	Updates the item.
ResultItem	ResultItem.update(weka.classifiers.Evaluation evaluation)	Updates the item.
ResultItem	ResultItem.updateFolds(int[][] foldOriginal)	Updates the item.
ResultItem	ResultItem.updateFolds(weka.classifiers.Classifier[] foldModels)	Updates the item.
ResultItem	ResultItem.updateFolds(weka.classifiers.Evaluation[] foldEvaluations)	Updates the item.
ResultItem	ResultItem.updateRuns(int[][] runOriginal)	Updates the item.
ResultItem	ResultItem.updateRuns(weka.classifiers.Classifier[] runModels)	Updates the item.
ResultItem	ResultItem.updateRuns(weka.classifiers.Evaluation[] runEvaluations)	Updates the item.

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

Modifier and Type	Method	Description
static SpreadSheet	PredictionHelper.toSpreadSheet(LoggingSupporter logger, MessageCollection errors, ResultItem item, boolean addAdditionalAttributes, boolean showError)	Turns the result item into a spreadsheet with the predictions.
static SpreadSheet	PredictionHelper.toSpreadSheet(LoggingSupporter logger, MessageCollection errors, ResultItem item, boolean addAdditionalAttributes, boolean addLabelIndex, boolean showDistribution, boolean showProbability, boolean showError, boolean showWeight)	Turns the result item into a spreadsheet with the predictions.

Uses of ResultItem in adams.gui.tools.wekainvestigator.tab.classifytab.evaluation

Methods in adams.gui.tools.wekainvestigator.tab.classifytab.evaluation that return ResultItem

Modifier and Type	Method	Description
abstract ResultItem	AbstractClassifierEvaluation.init(weka.classifiers.Classifier classifier)	Initializes the result item.
ResultItem	BuildModel.init(weka.classifiers.Classifier classifier)	Initializes the result item.
ResultItem	CrossValidation.init(weka.classifiers.Classifier classifier)	Initializes the result item.
ResultItem	FromPredictions.init(weka.classifiers.Classifier classifier)	Initializes the result item.
ResultItem	IndexedSplitsRunsEvaluation.init(weka.classifiers.Classifier classifier)	Initializes the result item.
ResultItem	ReevaluateModel.init(weka.classifiers.Classifier classifier)	Initializes the result item.
ResultItem	RepeatedCrossValidation.init(weka.classifiers.Classifier classifier)	Initializes the result item.
ResultItem	TrainTestSet.init(weka.classifiers.Classifier classifier)	Initializes the result item.
ResultItem	TrainTestSplit.init(weka.classifiers.Classifier classifier)	Initializes the result item.
ResultItem	TrainValidateTestSet.init(weka.classifiers.Classifier classifier)	Initializes the result item.

Methods in adams.gui.tools.wekainvestigator.tab.classifytab.evaluation with parameters of type ResultItem

Modifier and Type	Method	Description
protected abstract void	AbstractClassifierEvaluation.doEvaluate(weka.classifiers.Classifier classifier, ResultItem item)	Evaluates the classifier and updates the result item.
protected void	BuildModel.doEvaluate(weka.classifiers.Classifier classifier, ResultItem item)	Evaluates the classifier and updates the result item.
protected void	CrossValidation.doEvaluate(weka.classifiers.Classifier classifier, ResultItem item)	Evaluates the classifier and updates the result item.
protected void	FromPredictions.doEvaluate(weka.classifiers.Classifier classifier, ResultItem item)	Evaluates the classifier and updates the result item.
protected void	IndexedSplitsRunsEvaluation.doEvaluate(weka.classifiers.Classifier classifier, ResultItem item)	Evaluates the classifier and updates the result item.
protected void	ReevaluateModel.doEvaluate(weka.classifiers.Classifier classifier, ResultItem item)	Evaluates the classifier and updates the result item.
protected void	RepeatedCrossValidation.doEvaluate(weka.classifiers.Classifier classifier, ResultItem item)	Evaluates the classifier and updates the result item.
protected void	TrainTestSet.doEvaluate(weka.classifiers.Classifier classifier, ResultItem item)	Evaluates the classifier and updates the result item.
protected void	TrainTestSplit.doEvaluate(weka.classifiers.Classifier classifier, ResultItem item)	Evaluates the classifier and updates the result item.
protected void	TrainValidateTestSet.doEvaluate(weka.classifiers.Classifier classifier, ResultItem item)	Evaluates the classifier and updates the result item.
void	AbstractClassifierEvaluation.evaluate(weka.classifiers.Classifier classifier, ResultItem item)	Evaluates the classifier and updates the result item.

Uses of ResultItem in adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.finalmodel

Methods in adams.gui.tools.wekainvestigator.tab.classifytab.evaluation.finalmodel with parameters of type ResultItem

Modifier and Type	Method	Description
abstract void	AbstractFinalModelGenerator.generate(AbstractClassifierEvaluation eval, weka.core.Instances data, ResultItem item)	Builds the final model and stores it in the result item.
void	Null.generate(AbstractClassifierEvaluation eval, weka.core.Instances data, ResultItem item)	Builds the final model and stores it in the result item.
void	Simple.generate(AbstractClassifierEvaluation eval, weka.core.Instances data, ResultItem item)	Builds the final model and stores it in the result item.
void	VotedFolds.generate(AbstractClassifierEvaluation eval, weka.core.Instances data, ResultItem item)	Builds the final model and stores it in the result item.

Uses of ResultItem in adams.gui.tools.wekainvestigator.tab.classifytab.history

Methods in adams.gui.tools.wekainvestigator.tab.classifytab.history with parameters of type ResultItem

Modifier and Type	Method	Description
protected String	CompareModels.compareNumeric(String name1, ResultItem item1, String name2, ResultItem item2)	Compares the two evaluations (numeric class).
protected void	SubRangeEvaluation.createSubEvaluation(ClassifyTab.HistoryPanel history, ResultItem item, double[] range)	Creates the sub-range evaluation and adds it to the history.
protected double[]	SubRangeEvaluation.queryUser(ResultItem item)	Queries the user for the range.

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

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

Modifier and Type	Method	Description
boolean	AbstractOutputGeneratorWithFoldModelsSupport.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	ClassifierErrors.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	ConfusionMatrix.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	FourInOnePlot.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	LegacyClassifierErrors.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	LegacyCostBenefitAnalysis.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	LegacyCostCurve.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	LegacyMarginCurve.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	LegacyThresholdCurve.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	PredictionEccentricity.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	Predictions.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	PredictionTrend.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	ResidualsVsFitted.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	ResidualsVsPredictor.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	RunInformation.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	TextStatistics.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
JComponent	AbstractOutputGeneratorWithFoldModelsSupport.createOutput(ResultItem item, MessageCollection errors)	Generates output from the item.
JComponent	AbstractOutputGeneratorWithSeparateFoldsSupport.createOutput(ResultItem item, MessageCollection errors)	Generates output from the item.
protected abstract T	AbstractOutputGeneratorWithSeparateFoldsSupport.createOutput(ResultItem item, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, MessageCollection errors)	Generates the output for the evaluation.
JComponent	ClassifierErrors.createOutput(ResultItem item, MessageCollection errors)	Generates output from the item.
protected ComponentContentPanel	ClassifierErrors.createOutput(ResultItem item, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, MessageCollection errors)	Generates a plot actor from the evaluation.
protected TableContentPanel	ConfusionMatrix.createOutput(ResultItem item, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, MessageCollection errors)	Generates the output for the evaluation.
protected ComponentContentPanel	FourInOnePlot.createOutput(ResultItem item, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, MessageCollection errors)	Generates the output for the evaluation.
protected ComponentContentPanel	LegacyClassifierErrors.createOutput(ResultItem item, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, MessageCollection errors)	Generates the output for the evaluation.
protected ComponentContentPanel	LegacyCostBenefitAnalysis.createOutput(ResultItem item, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, MessageCollection errors)	Generates the output for the evaluation.
protected ComponentContentPanel	LegacyCostCurve.createOutput(ResultItem item, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, MessageCollection errors)	Generates the output for the evaluation.
protected ComponentContentPanel	LegacyMarginCurve.createOutput(ResultItem item, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, MessageCollection errors)	Generates the output for the evaluation.
protected ComponentContentPanel	LegacyThresholdCurve.createOutput(ResultItem item, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, MessageCollection errors)	Generates the output for the evaluation.
JComponent	ModelOutput.createOutput(ResultItem item, MessageCollection errors)	Generates output from the item.
protected ComponentContentPanel	PredictionEccentricity.createOutput(ResultItem item, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, MessageCollection errors)	Generates the output for the evaluation.
protected TableContentPanel	Predictions.createOutput(ResultItem item, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, MessageCollection errors)	Generates the output from the evaluation.
protected ComponentContentPanel	PredictionTrend.createOutput(ResultItem item, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, MessageCollection errors)	Generates the output for the evaluation.
protected ComponentContentPanel	ResidualsVsFitted.createOutput(ResultItem item, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, MessageCollection errors)	Generates the output for the evaluation.
protected ComponentContentPanel	ResidualsVsPredictor.createOutput(ResultItem item, weka.classifiers.Evaluation eval, int[] originalIndices, SpreadSheet additionalAttributes, MessageCollection errors)	Generates the output for the evaluation.
JComponent	RunInformation.createOutput(ResultItem item, MessageCollection errors)	Generates output from the item.
JComponent	TextStatistics.createOutput(ResultItem item, MessageCollection errors)	Generates output from the item.
protected MultiPagePane	AbstractOutputGenerator.newMultiPagePane(ResultItem item)	Generates a new MultiPagePane instance.
protected void	ClassifierErrors.removeData(ResultItem item, SpreadSheet data)	Removes the instances from the current dataset.
protected void	Predictions.removeData(ResultItem item, SpreadSheet data)	Removes the instances from the current dataset.

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

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

Modifier and Type	Field	Description
protected ResultItem	PerFoldMultiPagePane.m_Item	the underlying result item.

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

Modifier and Type	Method	Description
ResultItem	PerFoldMultiPagePane.getItem()	Returns the underlying result item.

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

Modifier and Type	Method	Description
protected void	SubRangeEvaluation.createSubEvaluation(PerFoldMultiPagePane pane, ResultItem item, weka.classifiers.Evaluation eval, int fold, double[] range)	Creates the sub-range evaluation and adds it to the pane.
protected void	SubRangeEvaluation.createSubEvaluations(PerFoldMultiPagePane pane, ResultItem item, weka.classifiers.Evaluation[] evals, int[] folds, double[] range)	Creates the sub-range evaluation and adds it to the pane.
protected double[]	SubRangeEvaluation.queryUser(PerFoldMultiPagePane pane, ResultItem item)	Queries the user for the range.

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

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

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

Methods in adams.gui.tools.wekainvestigator.tab.classifytab.output.repeated with parameters of type ResultItem

Modifier and Type	Method	Description
static SpreadSheet	PredictionUtils.calcStats(ResultItem item, MessageCollection errors, CenterStatistic centerStat, LowerStatistic lowerStat, UpperStatistic upperStat, int numDecimals, Logger logger, gnu.trove.list.TIntList cols)	Generates a spreadsheet with the statistics.
static SpreadSheet	PredictionUtils.calcStats(ResultItem item, MessageCollection errors, CenterStatistic centerStat, LowerStatistic lowerStat, UpperStatistic upperStat, int numDecimals, Logger logger, gnu.trove.list.TIntList cols, boolean addActual)	Generates a spreadsheet with the statistics.
boolean	Predictions.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	SamplePlot.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
boolean	Statistics.canGenerateOutput(ResultItem item)	Checks whether output can be generated from this item.
JComponent	Predictions.createOutput(ResultItem item, MessageCollection errors)	Generates output from the item.
JComponent	SamplePlot.createOutput(ResultItem item, MessageCollection errors)	Generates output from the item.
JComponent	Statistics.createOutput(ResultItem item, MessageCollection errors)	Generates output from the item.