Index
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form
A
- abortExperiment() - Method in class weka.experiment.RemoteExperiment
-
Set the abort flag
- ABS_DIFF - Enum constant in enum class weka.core.pmml.jaxbbindings.COMPAREFUNCTION
- ABSTRACT - Enum constant in enum class weka.core.TechnicalInformation.Field
-
An abstract of the work.
- AbstractAssociator - Class in weka.associations
-
Abstract scheme for learning associations.
- AbstractAssociator() - Constructor for class weka.associations.AbstractAssociator
- AbstractClassifier - Class in weka.classifiers
-
Abstract classifier.
- AbstractClassifier() - Constructor for class weka.classifiers.AbstractClassifier
- AbstractClusterer - Class in weka.clusterers
-
Abstract clusterer.
- AbstractClusterer() - Constructor for class weka.clusterers.AbstractClusterer
- AbstractCommand - Class in weka.gui.simplecli
-
Ancestor for command.
- AbstractCommand() - Constructor for class weka.gui.simplecli.AbstractCommand
- AbstractDataSink - Class in weka.gui.beans
-
Abstract class for objects that store instances to some destination.
- AbstractDataSink() - Constructor for class weka.gui.beans.AbstractDataSink
- AbstractDataSinkBeanInfo - Class in weka.gui.beans
-
Bean info class for the AbstractDataSink
- AbstractDataSinkBeanInfo() - Constructor for class weka.gui.beans.AbstractDataSinkBeanInfo
- AbstractDataSource - Class in weka.gui.beans
-
Abstract class for objects that can provide instances from some source
- AbstractDataSource() - Constructor for class weka.gui.beans.AbstractDataSource
-
Creates a new
AbstractDataSource
instance. - AbstractDataSourceBeanInfo - Class in weka.gui.beans
-
Bean info class for AbstractDataSource.
- AbstractDataSourceBeanInfo() - Constructor for class weka.gui.beans.AbstractDataSourceBeanInfo
- AbstractDensityBasedClusterer - Class in weka.clusterers
-
Abstract clustering model that produces (for each test instance) an estimate of the membership in each cluster (ie.
- AbstractDensityBasedClusterer() - Constructor for class weka.clusterers.AbstractDensityBasedClusterer
- AbstractEvaluationMetric - Class in weka.classifiers.evaluation
-
Abstract base class for pluggable classification/regression evaluation metrics.
- AbstractEvaluationMetric() - Constructor for class weka.classifiers.evaluation.AbstractEvaluationMetric
- AbstractEvaluationMetric.UnknownStatisticException - Exception in weka.classifiers.evaluation
-
Exception for subclasses to throw if asked for a statistic that is not part of their implementation
- AbstractEvaluator - Class in weka.gui.beans
-
Abstract class for objects that can provide some kind of evaluation for classifier, clusterers etc.
- AbstractEvaluator() - Constructor for class weka.gui.beans.AbstractEvaluator
-
Constructor
- AbstractFileBasedStopwords - Class in weka.core.stopwords
-
Ancestor for file-based stopword schemes.
- AbstractFileBasedStopwords() - Constructor for class weka.core.stopwords.AbstractFileBasedStopwords
- AbstractFileLoader - Class in weka.core.converters
-
Abstract superclass for all file loaders.
- AbstractFileLoader() - Constructor for class weka.core.converters.AbstractFileLoader
- AbstractFileSaver - Class in weka.core.converters
-
Abstract class for Savers that save to a file Valid options are: -i input arff file
The input filw in arff format. - AbstractFileSaver() - Constructor for class weka.core.converters.AbstractFileSaver
- AbstractGraphicalCommand - Class in weka.gui.knowledgeflow
-
Base class for a graphical command
- AbstractGraphicalCommand() - Constructor for class weka.gui.knowledgeflow.AbstractGraphicalCommand
- AbstractGUIApplication - Class in weka.gui
-
Base class for GUI applications in Weka
- AbstractGUIApplication() - Constructor for class weka.gui.AbstractGUIApplication
-
Default constructor
- AbstractGUIApplication(boolean, String...) - Constructor for class weka.gui.AbstractGUIApplication
-
Constructor
- AbstractGUIApplication(boolean, String[], String[]) - Constructor for class weka.gui.AbstractGUIApplication
-
Constructor
- AbstractInstance - Class in weka.core
-
Abstract class providing common functionality for the original instance implementations.
- AbstractInstance() - Constructor for class weka.core.AbstractInstance
- AbstractLoader - Class in weka.core.converters
-
Abstract class gives default implementation of setSource methods.
- AbstractLoader() - Constructor for class weka.core.converters.AbstractLoader
- AbstractOffscreenChartRenderer - Class in weka.gui.beans
-
Abstract base class for offscreen chart renderers.
- AbstractOffscreenChartRenderer() - Constructor for class weka.gui.beans.AbstractOffscreenChartRenderer
- AbstractOutput - Class in weka.classifiers.evaluation.output.prediction
-
A superclass for outputting the classifications of a classifier.
- AbstractOutput() - Constructor for class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Initializes the output class.
- AbstractPerspective - Class in weka.gui
-
Base classes for GUI perspectives to extend.
- AbstractPerspective() - Constructor for class weka.gui.AbstractPerspective
-
Constructor
- AbstractPerspective(String, String) - Constructor for class weka.gui.AbstractPerspective
-
Constructor
- AbstractPlotInstances - Class in weka.gui.explorer
-
Abstract superclass for generating plottable instances.
- AbstractPlotInstances() - Constructor for class weka.gui.explorer.AbstractPlotInstances
-
Initializes the container.
- AbstractPMMLProducerHelper - Class in weka.classifiers.pmml.producer
-
Abstract base class for PMMLProducer helper classes to extend.
- AbstractPMMLProducerHelper() - Constructor for class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
- AbstractSaver - Class in weka.core.converters
-
Abstract class for Saver
- AbstractSaver() - Constructor for class weka.core.converters.AbstractSaver
- AbstractSetupPanel - Class in weka.gui.experiment
-
Ancestor for setup panels for experiments.
- AbstractSetupPanel() - Constructor for class weka.gui.experiment.AbstractSetupPanel
- AbstractStopwords - Class in weka.core.stopwords
-
Ancestor for stopwords classes.
- AbstractStopwords() - Constructor for class weka.core.stopwords.AbstractStopwords
- AbstractTestSetProducer - Class in weka.gui.beans
-
Abstract class for TestSetProducers that contains default implementations of add/remove listener methods and defualt visual representation.
- AbstractTestSetProducer() - Constructor for class weka.gui.beans.AbstractTestSetProducer
-
Creates a new
AbstractTestSetProducer
instance. - AbstractTestSetProducerBeanInfo - Class in weka.gui.beans
-
BeanInfo class for AbstractTestSetProducer
- AbstractTestSetProducerBeanInfo() - Constructor for class weka.gui.beans.AbstractTestSetProducerBeanInfo
- AbstractTimeSeries - Class in weka.filters.unsupervised.attribute
-
An abstract instance filter that assumes instances form time-series data and performs some merging of attribute values in the current instance with attribute attribute values of some previous (or future) instance.
- AbstractTimeSeries() - Constructor for class weka.filters.unsupervised.attribute.AbstractTimeSeries
- AbstractTrainAndTestSetProducer - Class in weka.gui.beans
-
Abstract base class for TrainAndTestSetProducers that contains default implementations of add/remove listener methods and defualt visual representation.
- AbstractTrainAndTestSetProducer() - Constructor for class weka.gui.beans.AbstractTrainAndTestSetProducer
-
Creates a new
AbstractTrainAndTestSetProducer
instance. - AbstractTrainAndTestSetProducerBeanInfo - Class in weka.gui.beans
-
Bean info class for AbstractTrainAndTestSetProducers
- AbstractTrainAndTestSetProducerBeanInfo() - Constructor for class weka.gui.beans.AbstractTrainAndTestSetProducerBeanInfo
- AbstractTrainingSetProducer - Class in weka.gui.beans
-
Abstract class for TrainingSetProducers that contains default implementations of add/remove listener methods and default visual representation
- AbstractTrainingSetProducer() - Constructor for class weka.gui.beans.AbstractTrainingSetProducer
-
Creates a new
AbstractTrainingSetProducer
instance. - AbstractTrainingSetProducerBeanInfo - Class in weka.gui.beans
-
BeanInfo class for AbstractTrainingSetProducer
- AbstractTrainingSetProducerBeanInfo() - Constructor for class weka.gui.beans.AbstractTrainingSetProducerBeanInfo
- accept(File) - Method in class weka.core.ClassCache.ClassFileFilter
-
Checks whether the file is a class.
- accept(File) - Method in class weka.core.ClassCache.DirectoryFilter
-
Checks whether the file is a directory.
- accept(File) - Method in class weka.gui.ExtensionFileFilter
-
Returns true if the supplied file should be accepted (i.e.: if it has the required extension or is a directory).
- accept(File, String) - Method in class weka.gui.ExtensionFileFilter
-
Returns true if the file in the given directory with the given name should be accepted.
- ACCEPT - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
-
States that the user has accepted the tree.
- acceptAssociationRules(BatchAssociationRulesEvent) - Method in interface weka.gui.beans.BatchAssociationRulesListener
-
Accept a
BatchAssociationRulesEvent
- acceptClassifier(BatchClassifierEvent) - Method in interface weka.gui.beans.BatchClassifierListener
-
Accept a BatchClassifierEvent
- acceptClassifier(BatchClassifierEvent) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
-
Accept a classifier to be evaluated.
- acceptClassifier(BatchClassifierEvent) - Method in class weka.gui.beans.PredictionAppender
-
Accept and process a batch classifier event
- acceptClassifier(BatchClassifierEvent) - Method in class weka.gui.beans.SerializedModelSaver
-
Accept and save a batch trained classifier.
- acceptClassifier(IncrementalClassifierEvent) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
-
Accepts and processes a classifier encapsulated in an incremental classifier event
- acceptClassifier(IncrementalClassifierEvent) - Method in interface weka.gui.beans.IncrementalClassifierListener
-
Accept the event
- acceptClassifier(IncrementalClassifierEvent) - Method in class weka.gui.beans.PredictionAppender
-
Accept and process an incremental classifier event
- acceptClassifier(IncrementalClassifierEvent) - Method in class weka.gui.beans.SerializedModelSaver
-
Accept and save an incrementally trained classifier.
- acceptClusterer(BatchClustererEvent) - Method in interface weka.gui.beans.BatchClustererListener
-
Accept a BatchClustererEvent
- acceptClusterer(BatchClustererEvent) - Method in class weka.gui.beans.ClustererPerformanceEvaluator
-
Accept a clusterer to be evaluated
- acceptClusterer(BatchClustererEvent) - Method in class weka.gui.beans.PredictionAppender
-
Accept and process a batch clusterer event
- acceptClusterer(BatchClustererEvent) - Method in class weka.gui.beans.SerializedModelSaver
-
Accept and save a batch trained clusterer.
- acceptConfiguration(ConfigurationEvent) - Method in interface weka.gui.beans.ConfigurationListener
-
Implementers do not have to do anything in this method (see the above documentation).
- acceptDataPoint(double[]) - Method in class weka.gui.beans.StripChart
-
Accept a data point to plot
- acceptDataPoint(double[]) - Method in class weka.gui.knowledgeflow.steps.StripChartInteractiveView
-
Accept and process a data point
- acceptDataPoint(double[]) - Method in interface weka.knowledgeflow.steps.StripChart.PlotNotificationListener
- acceptDataPoint(ChartEvent) - Method in interface weka.gui.beans.ChartListener
- acceptDataPoint(ChartEvent) - Method in class weka.gui.beans.StripChart
-
Accept a data point (encapsulated in a chart event) to plot
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.AbstractDataSink
-
Accept a data set
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
-
Subclass must implement
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Appender
-
Accept and process a data set event
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Associator
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.ClassAssigner
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.ClassValuePicker
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Accept a data set
- acceptDataSet(DataSetEvent) - Method in interface weka.gui.beans.DataSourceListener
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.DataVisualizer
-
Accept a data set
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Filter
-
Accept a data set
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.FlowByExpression
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Join
-
Accept and process a data set
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Saver
-
Method reacts to a dataset event and starts the writing process in batch mode
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Sorter
-
Accept and process a data set event
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.SubstringLabeler
-
Accept and process a data set event
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TestSetMaker
-
Accepts and processes a data set event
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TextViewer
-
Accept a data set for displaying as text
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TrainingSetMaker
-
Accept a data set
- acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TrainTestSplitMaker
-
Accept a data set
- acceptDataSet(ThresholdDataEvent) - Method in class weka.gui.beans.AbstractDataSink
-
Accept a threshold data set
- acceptDataSet(ThresholdDataEvent) - Method in class weka.gui.beans.CostBenefitAnalysis
-
Accept a threshold data event and set up the visualization.
- acceptDataSet(ThresholdDataEvent) - Method in class weka.gui.beans.ModelPerformanceChart
-
Display a threshold curve.
- acceptDataSet(ThresholdDataEvent) - Method in class weka.gui.beans.Saver
-
Method reacts to a threshold data event ans starts the writing process in batch mode.
- acceptDataSet(ThresholdDataEvent) - Method in interface weka.gui.beans.ThresholdDataListener
- acceptDataSet(VisualizableErrorEvent) - Method in class weka.gui.beans.ModelPerformanceChart
-
Display a scheme error plot.
- acceptDataSet(VisualizableErrorEvent) - Method in interface weka.gui.beans.VisualizableErrorListener
- acceptGraph(GraphEvent) - Method in interface weka.gui.beans.GraphListener
-
Describe
acceptGraph
method here. - acceptGraph(GraphEvent) - Method in class weka.gui.beans.GraphViewer
-
Accept a graph
- acceptImage(ImageEvent) - Method in interface weka.gui.beans.ImageListener
-
Accept and process an ImageEvent
- acceptImage(ImageEvent) - Method in class weka.gui.beans.ImageSaver
-
Accept and process an ImageEvent
- acceptImage(ImageEvent) - Method in class weka.gui.beans.ImageViewer
- acceptInstance(InstanceEvent) - Method in class weka.gui.beans.AbstractDataSink
-
Accept an instance
- acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Appender
-
Accept and process an instance event
- acceptInstance(InstanceEvent) - Method in class weka.gui.beans.ClassAssigner
- acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Classifier
-
Accepts an instance for incremental processing.
- acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Filter
-
Accept an instance for processing by StreamableFilters only
- acceptInstance(InstanceEvent) - Method in class weka.gui.beans.FlowByExpression
- acceptInstance(InstanceEvent) - Method in interface weka.gui.beans.InstanceListener
-
Accept and process an instance event
- acceptInstance(InstanceEvent) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
-
Accept an instance to add to the batch.
- acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Join
- acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Saver
-
Methods reacts to instance events and saves instances incrementally.
- acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Sorter
-
Accept and process an instance event
- acceptInstance(InstanceEvent) - Method in class weka.gui.beans.StripChart
- acceptInstance(InstanceEvent) - Method in class weka.gui.beans.SubstringLabeler
-
Accept and process an instance event
- acceptInstance(InstanceEvent) - Method in class weka.gui.beans.SubstringReplacer
-
Accept and process an instance event
- acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.AveragingResultProducer
-
Accepts results from a ResultProducer.
- acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.CSVResultListener
-
Just prints out each result as it is received.
- acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.DatabaseResultListener
-
Submit the result to the appropriate table of the database
- acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.DatabaseResultProducer
-
Accepts results from a ResultProducer.
- acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.InstancesResultListener
-
Collects each instance and adjusts the header information.
- acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.LearningRateResultProducer
-
Accepts results from a ResultProducer.
- acceptResult(ResultProducer, Object[], Object[]) - Method in interface weka.experiment.ResultListener
-
Accepts results from a ResultProducer.
- acceptsInstances() - Method in class weka.gui.AbstractPerspective
-
Returns true if this perspective can do something meaningful with a set of instances
- acceptsInstances() - Method in class weka.gui.beans.AttributeSummarizer
-
Returns true if this perspective accepts instances
- acceptsInstances() - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
-
Returns true if this perspective accepts instances
- acceptsInstances() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
- acceptsInstances() - Method in class weka.gui.beans.ScatterPlotMatrix
-
Returns true if this perspective accepts instances
- acceptsInstances() - Method in class weka.gui.beans.SQLViewerPerspective
-
Returns true if this perspective accepts instances
- acceptsInstances() - Method in class weka.gui.explorer.AssociationsPanel
- acceptsInstances() - Method in class weka.gui.explorer.AttributeSelectionPanel
- acceptsInstances() - Method in class weka.gui.explorer.ClassifierPanel
- acceptsInstances() - Method in class weka.gui.explorer.ClustererPanel
- acceptsInstances() - Method in class weka.gui.explorer.PreprocessPanel
-
We can accept instances
- acceptsInstances() - Method in class weka.gui.explorer.VisualizePanel
-
This perspective processes instances
- acceptsInstances() - Method in class weka.gui.knowledgeflow.AttributeSummaryPerspective
-
Returns true, as this perspective does accept instances
- acceptsInstances() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Returns true if this perspective can do something meaningful with a set of instances
- acceptsInstances() - Method in class weka.gui.knowledgeflow.ScatterPlotMatrixPerspective
-
Returns true - we accept instances.
- acceptsInstances() - Method in interface weka.gui.Perspective
-
Returns true if this perspective can do something meaningful with a set of instances
- acceptsInstances() - Method in class weka.gui.SimpleCLIPanel
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.AbstractDataSink
-
Accept a test set
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Appender
-
Accept and process a test set event
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.ClassAssigner
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Classifier
-
Accepts a test set for a batch trained classifier
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Clusterer
-
Accepts a test set for a batch trained clusterer
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Accept a test set
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.DataVisualizer
-
Accept a test set
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Filter
-
Accept a test set
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.FlowByExpression
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Join
-
Accept and process a test set
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Saver
-
Method reacts to a test set event and starts the writing process in batch mode
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Sorter
-
Accept and process a test set event
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.SubstringLabeler
-
Accept and process a test set event
- acceptTestSet(TestSetEvent) - Method in interface weka.gui.beans.TestSetListener
-
Accept and process a test set event
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.TextViewer
-
Accept a test set for displaying as text
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.TrainingSetMaker
- acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.TrainTestSplitMaker
-
Accept a test set
- acceptText(TextEvent) - Method in interface weka.gui.beans.TextListener
-
Accept and process a text event
- acceptText(TextEvent) - Method in class weka.gui.beans.TextSaver
-
Accept and process an TextEvent
- acceptText(TextEvent) - Method in class weka.gui.beans.TextViewer
-
Accept some text
- acceptTextResult(String, String) - Method in class weka.gui.knowledgeflow.steps.TextViewerInteractiveView
-
Accept a new text result and add it to the result list
- acceptTextResult(String, String) - Method in interface weka.knowledgeflow.steps.TextViewer.TextNotificationListener
-
Accept a new textual result
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.AbstractDataSink
-
Accept a training set
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Appender
-
Accept and process a training set event
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Associator
-
Accept a training set
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.ClassAssigner
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Classifier
-
Accepts a training set and builds batch classifier
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Clusterer
-
Accepts a training set and builds batch clusterer
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Accept a training set
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.DataVisualizer
-
Accept a training set
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Filter
-
Accept a training set
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.FlowByExpression
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Join
-
Accept and process a training set
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Saver
-
Method reacts to a training set event and starts the writing process in batch mode
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Sorter
-
Accept and process a training set event
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.SubstringLabeler
-
Accept and process a training set event
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.TestSetMaker
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.TextViewer
-
Accept a training set for displaying as text
- acceptTrainingSet(TrainingSetEvent) - Method in interface weka.gui.beans.TrainingSetListener
-
Accept and process a training set
- acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.TrainTestSplitMaker
-
Accept a training set
- ACROSS_TIME_WINDOWS - Enum constant in enum class weka.core.pmml.jaxbbindings.DELIMITER2
- actEntropy - Variable in class weka.classifiers.lazy.kstar.KStarWrapper
-
used/reused to hold the actual entropy
- action_table() - Method in class weka.core.expressionlanguage.parser.Parser
-
Access to parse-action table.
- action_table() - Method in class weka.core.json.Parser
-
Access to parse-action table.
- actionPerformed(ActionEvent) - Method in class weka.gui.arffviewer.ArffPanel
-
invoked when an action occurs
- actionPerformed(ActionEvent) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
invoked when an action occurs
- actionPerformed(ActionEvent) - Method in class weka.gui.experiment.AlgorithmListPanel
-
Handle actions when buttons get pressed.
- actionPerformed(ActionEvent) - Method in class weka.gui.experiment.DatasetListPanel
-
Handle actions when buttons get pressed.
- actionPerformed(ActionEvent) - Method in class weka.gui.experiment.GeneratorPropertyIteratorPanel
-
Handles the various button clicking type activities.
- actionPerformed(ActionEvent) - Method in class weka.gui.experiment.HostListPanel
-
Handle actions when text is entered into the host field or the delete button is pressed.
- actionPerformed(ActionEvent) - Method in class weka.gui.experiment.RunPanel
-
Controls starting and stopping the experiment.
- actionPerformed(ActionEvent) - Method in class weka.gui.SimpleCLIPanel
-
Only gets called when return is pressed in the input area, which starts the command running.
- actionPerformed(ActionEvent) - Method in class weka.gui.streams.InstanceLoader
- actionPerformed(ActionEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
-
Performs the action associated with the ActionEvent.
- activateFilter(boolean) - Method in class weka.gui.knowledgeflow.InvisibleTreeModel
-
Activate/deactivate the visibility filter
- ACTIVATIONFUNCTION - Enum Class in weka.core.pmml.jaxbbindings
-
Java class for ACTIVATION-FUNCTION.
- ACTIVE - Enum constant in enum class weka.core.pmml.jaxbbindings.FIELDUSAGETYPE
- ActiveHNode - Class in weka.classifiers.trees.ht
-
Node that is "active" (i.e.
- ActiveHNode() - Constructor for class weka.classifiers.trees.ht.ActiveHNode
- actual() - Method in class weka.classifiers.evaluation.NominalPrediction
-
Gets the actual class value.
- actual() - Method in class weka.classifiers.evaluation.NumericPrediction
-
Gets the actual class value.
- actual() - Method in interface weka.classifiers.evaluation.Prediction
-
Gets the actual class value.
- actualNumBags() - Method in class weka.classifiers.trees.j48.Distribution
-
Returns number of non-empty bags of distribution.
- actualNumClasses() - Method in class weka.classifiers.trees.j48.Distribution
-
Returns number of classes actually occuring in distribution.
- actualNumClasses(int) - Method in class weka.classifiers.trees.j48.Distribution
-
Returns number of classes actually occuring in given bag.
- acuityTipText() - Method in class weka.clusterers.Cobweb
-
Returns the tip text for this property
- AdaBoostM1 - Class in weka.classifiers.meta
-
Class for boosting a nominal class classifier using the Adaboost M1 method.
- AdaBoostM1() - Constructor for class weka.classifiers.meta.AdaBoostM1
-
Constructor.
- add(double) - Method in class weka.experiment.Stats
-
Adds a value to the observed values
- add(double[], double[]) - Method in class weka.experiment.PairedStats
-
Adds an array of observed pair of values.
- add(double, double) - Method in class weka.experiment.PairedStats
-
Add an observed pair of values.
- add(double, double) - Method in class weka.experiment.Stats
-
Adds a weighted value to the observed values
- add(int, double[]) - Method in class weka.classifiers.trees.j48.Distribution
-
Adds counts to given bag.
- add(int, Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
-
Inserts the specified element at the specified position in this list.
- add(int, Instance) - Method in class weka.classifiers.trees.j48.Distribution
-
Adds given instance to given bag.
- add(int, Instance) - Method in class weka.core.Instances
-
Adds one instance at the given position in the list.
- add(PrintStream) - Method in class weka.core.Tee
-
adds the given PrintStream to the list of streams, with NO timestamp and NO prefix.
- add(PrintStream, boolean) - Method in class weka.core.Tee
-
adds the given PrintStream to the list of streams, with NO prefix.
- add(PrintStream, boolean, String) - Method in class weka.core.Tee
-
adds the given PrintStream to the list of streams.
- add(Class<?>, Method) - Method in class weka.core.xml.MethodHandler
-
adds the specified method for the given class to its internal list.
- add(Object) - Method in class weka.gui.GenericObjectEditorHistory
-
Adds the object to the history.
- add(String) - Method in class weka.core.ClassCache
-
Adds the classname to the cache.
- add(String) - Method in class weka.core.Stopwords
-
adds the given word to the stopword list (is automatically converted to lower case and trimmed)
- add(String) - Method in class weka.core.Trie
-
Ensures that this collection contains the specified element.
- add(String) - Method in class weka.core.Trie.TrieNode
-
adds the given string to its children (creates children if necessary)
- add(String) - Method in class weka.gui.HierarchyPropertyParser
-
Add the given item of property to the tree
- add(String, Method) - Method in class weka.core.xml.MethodHandler
-
adds the specified method for the property with the given displayname to its internal list.
- add(AlgVector) - Method in class weka.core.AlgVector
-
Returns the sum of this vector with another.
- add(Defaults) - Method in class weka.core.Defaults
-
Add the supplied defaults to this one.
- add(Instance) - Method in class weka.core.Instances
-
Adds one instance to the end of the set.
- add(Matrix) - Method in class weka.core.Matrix
-
Deprecated.Returns the sum of this matrix with another.
- add(TechnicalInformation) - Method in class weka.core.TechnicalInformation
-
adds the given information to the list of additional technical informations
- add(TechnicalInformation.Type) - Method in class weka.core.TechnicalInformation
-
Adds an empty technical information with the given type to the list of additional informations and returns the instance.
- Add - Class in weka.filters.unsupervised.attribute
-
An instance filter that adds a new attribute to the dataset.
- Add() - Constructor for class weka.filters.unsupervised.attribute.Add
- ADD_CHILDREN - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
- addActionListener(ActionListener) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Register a listener to be notified when plotting completes
- addActionListener(ActionListener) - Method in class weka.gui.experiment.GeneratorPropertyIteratorPanel
-
Add a listener interested in kowing about editor status changes
- addActionListener(ActionListener) - Method in class weka.gui.visualize.ClassPanel
-
Add an action listener that will be notified if the user changes the colour of a label
- addActionListener(ActionListener) - Method in class weka.gui.visualize.VisualizePanel
-
Add a listener for this visualize panel
- addAll(Collection<? extends String>) - Method in class weka.core.Trie
-
Adds all of the elements in the specified collection to this collection
- addAll(Collection<? extends T>) - Method in class weka.core.neighboursearch.covertrees.Stack
-
Adds all the given elements in the stack.
- addAll(List<StepManagerImpl>) - Method in class weka.knowledgeflow.Flow
-
All all steps in the supplied list to this Flow
- addAllBeansToContainer(JComponent, Integer...) - Static method in class weka.gui.beans.BeanInstance
-
Adds all beans to the supplied component
- addAllowed(Class<?>, String) - Method in class weka.core.xml.PropertyHandler
-
adds the given property (display name) to the list of allowed properties for the specified class.
- addAllResults(Map<String, LinkedHashSet<Data>>) - Method in class weka.knowledgeflow.JobEnvironment
-
Add all the results from the supplied map to this environment's results
- addAndUpdate(Rule) - Method in class weka.classifiers.rules.RuleStats
-
Add a rule to the ruleset and update the stats
- addArc(int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
Add arc between two nodes Distributions are updated by duplication for every value of the parent node.
- addArc(String, String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
Add arc between two nodes Distributions are updated by duplication for every value of the parent node.
- addArc(String, ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
Add arc between parent node and each of the nodes in a given list.
- addArray(String) - Method in class weka.core.json.JSONNode
-
Adds an array child to the object.
- addArrayElement(Object) - Method in class weka.core.json.JSONNode
-
Adds an array element child to the array.
- addAssociationModelOrBaselineModelOrClusteringModes(Object) - Method in class weka.core.pmml.jaxbbindings.PMML
- addAttributePanelListener(AttributePanelListener) - Method in class weka.gui.visualize.AttributePanel
-
Add a listener to the list of things listening to this panel
- addAttributeSpec(String) - Method in class weka.filters.unsupervised.attribute.AddUserFields
-
Add an attribute spec to the list
- addBatchAssociationRulesListener(BatchAssociationRulesListener) - Method in class weka.gui.beans.Associator
-
Add a batch association rules listener
- addBatchClassifierListener(BatchClassifierListener) - Method in class weka.gui.beans.Classifier
-
Add a batch classifier listener
- addBatchClustererListener(BatchClustererListener) - Method in class weka.gui.beans.Clusterer
-
Add a batch clusterer listener
- addBean(JComponent, Integer...) - Method in class weka.gui.beans.BeanInstance
-
Adds this bean to the global list of beans and to the supplied container.
- addBeanInstances(Vector<Object>, JComponent) - Static method in class weka.gui.beans.BeanInstance
-
Adds the supplied collection of beans to the end of the list of collections and to the JComponent container (if not null)
- addBoolean(String) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations
-
Adds a variable declaration for a boolean variable
- addButton(JButton) - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
-
Adds a button to the bottom of the window.
- addCancelListener(ActionListener) - Method in class weka.gui.GenericObjectEditor.GOEPanel
-
This is used to hook an action listener to the cancel button.
- addCapabilities(String) - Method in class weka.core.Capabilities
-
generates a string from the capabilities, suitable to add to the help text.
- addCapabilities(String, Capabilities) - Static method in class weka.core.CapabilitiesUtils
-
generates a string from the capabilities, suitable to add to the help text.
- addCapabilitiesFilterListener(Explorer.CapabilitiesFilterChangeListener) - Method in class weka.gui.explorer.Explorer
-
adds the listener to the list of objects that listen for changes of the CapabilitiesFilter
- addChangeListener(ChangeListener) - Method in class weka.gui.arffviewer.ArffPanel
-
Adds a ChangeListener to the panel
- addChangeListener(ChangeListener) - Method in class weka.gui.arffviewer.ArffTable
-
Adds a ChangeListener to the panel
- addChartListener(ChartListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
-
Add a chart listener
- addCheckBoxActionListener(ActionListener) - Method in class weka.gui.experiment.DistributeExperimentPanel
-
Enable objects to listen for changes to the check box
- addChild(Edge) - Method in class weka.gui.treevisualizer.Node
-
Set the value of children.
- addChild(FlowByExpression.ExpressionNode) - Method in class weka.knowledgeflow.steps.FlowByExpression.BracketNode
-
Add a child to this bracket node
- addChildClique(MarginCalculator.JunctionTreeNode) - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
- addChildFrame(Container) - Method in class weka.gui.GUIChooserApp
-
adds the given child frame to the list of frames.
- addChildFrame(Container) - Method in class weka.gui.Main
-
adds the given child frame to the list of frames.
- AddClassification - Class in weka.filters.supervised.attribute
-
A filter for adding the classification, the class distribution and an error flag to a dataset with a classifier.
- AddClassification() - Constructor for class weka.filters.supervised.attribute.AddClassification
- AddCluster - Class in weka.filters.unsupervised.attribute
-
A filter that adds a new nominal attribute representing the cluster assigned to each instance by the specified clustering algorithm.
Either the clustering algorithm gets built with the first batch of data or one specifies are serialized clusterer model file to use instead. - AddCluster() - Constructor for class weka.filters.unsupervised.attribute.AddCluster
- addConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Associator
-
We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
- addConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Classifier
-
We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
- addConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Clusterer
-
We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
- addConfigurationListener(ConfigurationListener) - Method in interface weka.gui.beans.ConfigurationProducer
-
We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
- addConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Filter
-
We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
- addConnectionListener(ConnectionListener) - Method in class weka.gui.sql.ConnectionPanel
-
adds the given listener to the list of listeners.
- addConnectionListener(ConnectionListener) - Method in class weka.gui.sql.SqlViewer
-
adds the given listener to the list of listeners.
- addConnections(Vector<BeanConnection>) - Static method in class weka.gui.beans.BeanConnection
-
Add the supplied collection of connections to the end of the list.
- addContent(Object) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
- addContent(Object) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
- addCVParameter(String) - Method in class weka.classifiers.meta.CVParameterSelection
-
Adds a scheme parameter to the list of parameters to be set by cross-validation
- addDataDictionary(Instances, PMML) - Static method in class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
-
Adds a data dictionary to the supplied PMML object.
- addDataField(DataField) - Method in class weka.core.pmml.jaxbbindings.DataDictionary
- addDataFormatListener(DataFormatListener) - Method in class weka.gui.beans.ClassAssigner
- addDataFormatListener(DataFormatListener) - Method in class weka.gui.beans.ClassValuePicker
- addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.AbstractDataSource
-
Add a listener
- addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Appender
-
Add a data source listener
- addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.ClassAssigner
- addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.ClassValuePicker
- addDataSourceListener(DataSourceListener) - Method in interface weka.gui.beans.DataSource
-
Add a data source listener
- addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.DataVisualizer
-
Add a listener
- addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Filter
-
Add a data source listener
- addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.FlowByExpression
- addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
- addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Join
-
Add a data source listener
- addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Loader
-
Add a listener
- addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.PredictionAppender
-
Add a datasource listener
- addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Sorter
-
Add a datasource listener
- addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.SubstringLabeler
-
Add a datasource listener
- addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.SubstringReplacer
-
Add a data source listener
- addDerivedField(DerivedField) - Method in class weka.core.pmml.jaxbbindings.LocalTransformations
- addDerivedField(DerivedField) - Method in class weka.core.pmml.jaxbbindings.TransformationDictionary
- addDouble(String) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations
-
Adds a variable declaration for a double variable
- addElement(double) - Method in class weka.core.matrix.DoubleVector
-
Adds an element into the vector
- addElement(int, int, double) - Method in class weka.core.Matrix
-
Deprecated.Add a value to an element.
- addElement(E) - Method in class weka.core.FastVector
-
Deprecated.Adds an element to this vector.
- addElement(Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
-
Adds the specified component to the end of this list.
- addEmptyRow() - Method in class weka.gui.InteractiveTableModel
-
Adds an empty row to the model
- addErrs(double, double, float) - Static method in class weka.classifiers.trees.j48.Stats
-
Computes estimated extra error for given total number of instances and error using normal approximation to binomial distribution (and continuity correction).
- addExecutionFinishedCallback(ExecutionFinishedCallback) - Method in interface weka.knowledgeflow.FlowExecutor
-
Add a callback to notify when execution finishes
- addExecutionFinishedCallback(ExecutionFinishedCallback) - Method in class weka.knowledgeflow.FlowRunner
-
Set a callback to notify when flow execution finishes
- AddExpression - Class in weka.filters.unsupervised.attribute
-
An instance filter that creates a new attribute by applying a mathematical expression to existing attributes.
- AddExpression() - Constructor for class weka.filters.unsupervised.attribute.AddExpression
- addFile(File) - Static method in class weka.core.ClassloaderUtil
-
Add file to CLASSPATH
- addFile(String) - Static method in class weka.core.ClassloaderUtil
-
Add file to CLASSPATH
- addFileFilter(FileFilter) - Method in class weka.gui.beans.FileEnvironmentField
-
Deprecated.Add a file filter to use
- addFileFilter(FileFilter) - Method in class weka.gui.FileEnvironmentField
-
Add a file filter to use
- addFromProperties(File) - Static method in class weka.core.PluginManager
-
Add all key value pairs from the supplied property file
- addFromProperties(File) - Static method in class weka.gui.beans.PluginManager
-
Deprecated.Add all key value pairs from the supplied property file
- addFromProperties(File, boolean) - Static method in class weka.core.PluginManager
-
Add all key value pairs from the supplied property file
- addFromProperties(File, boolean) - Static method in class weka.gui.beans.PluginManager
-
Deprecated.Add all key value pairs from the supplied property file
- addFromProperties(InputStream) - Static method in class weka.core.PluginManager
-
Add all key value pairs from the supplied properties stream
- addFromProperties(InputStream) - Static method in class weka.gui.beans.PluginManager
-
Deprecated.Add all key value pairs from the supplied properties stream
- addFromProperties(InputStream, boolean) - Static method in class weka.core.PluginManager
-
Add all key value pairs from the supplied properties stream
- addFromProperties(InputStream, boolean) - Static method in class weka.gui.beans.PluginManager
-
Deprecated.Add all key value pairs from the supplied properties stream
- addFromProperties(String, File) - Static method in class weka.core.PluginManager
-
Add all key value pairs from the supplied property file
- addFromProperties(String, File, boolean) - Static method in class weka.core.PluginManager
-
Add all key value pairs from the supplied property file
- addFromProperties(String, InputStream) - Static method in class weka.core.PluginManager
-
Add all key value pairs from the supplied properties stream
- addFromProperties(String, InputStream, boolean) - Static method in class weka.core.PluginManager
-
Add all key value pairs from the supplied properties stream
- addFromProperties(String, Properties) - Static method in class weka.core.PluginManager
-
Add all key value pairs from the supplied properties object
- addFromProperties(String, Properties, boolean) - Static method in class weka.core.PluginManager
-
Add all key value pairs from the supplied properties object
- addFromProperties(Properties) - Static method in class weka.core.PluginManager
-
Add all key value pairs from the supplied properties object
- addFromProperties(Properties) - Static method in class weka.gui.beans.PluginManager
-
Deprecated.Add all key value pairs from the supplied properties object
- addFromProperties(Properties, boolean) - Static method in class weka.core.PluginManager
-
Add all key value pairs from the supplied properties object
- addFromProperties(Properties, boolean) - Static method in class weka.gui.beans.PluginManager
-
Deprecated.Add all key value pairs from the supplied properties object
- addGraphListener(GraphListener) - Method in class weka.gui.beans.Associator
-
Add a graph listener
- addGraphListener(GraphListener) - Method in class weka.gui.beans.Classifier
-
Add a graph listener
- addGraphListener(GraphListener) - Method in class weka.gui.beans.Clusterer
-
Add a graph listener
- addHeader(String, String) - Method in class weka.experiment.ResultMatrix
-
adds the key-value pair to the header.
- addHistoryChangedListener(HistoryChangedListener) - Method in class weka.gui.sql.ConnectionPanel
-
adds the given listener to the list of listeners.
- addHistoryChangedListener(HistoryChangedListener) - Method in class weka.gui.sql.QueryPanel
-
adds the given listener to the list of listeners.
- addHistoryChangedListener(HistoryChangedListener) - Method in class weka.gui.sql.SqlViewer
-
adds the given listener to the list of listeners.
- AddID - Class in weka.filters.unsupervised.attribute
-
An instance filter that adds an ID attribute to the dataset.
- AddID() - Constructor for class weka.filters.unsupervised.attribute.AddID
- addIgnored(Class<?>, String) - Method in class weka.core.xml.PropertyHandler
-
adds the given class with the display name of a property to the ignore list.
- addIgnored(String) - Method in class weka.core.xml.PropertyHandler
-
adds the given display name of a property to the ignore list.
- addImageListener(ImageListener) - Method in class weka.gui.beans.DataVisualizer
-
Add an image listener
- addImageListener(ImageListener) - Method in class weka.gui.beans.ModelPerformanceChart
-
Add an image listener
- addIncomingConnection(String, StepManagerImpl) - Method in class weka.knowledgeflow.StepManagerImpl
-
Add an incoming connection (comprising of the type of connection and associated step component) to this step of the specified type
- addIncrementalClassifierListener(IncrementalClassifierListener) - Method in class weka.gui.beans.Classifier
-
Add an incremental classifier listener
- addIndexedValueToNamedStore(String, Integer, Object) - Method in class weka.knowledgeflow.steps.PairedDataHelper
-
Adds a value to a named store with the given index.
- addInstance() - Method in class weka.gui.arffviewer.ArffPanel
-
Add an instance at the currently selected index.
- addInstance(Instance) - Method in class weka.clusterers.Cobweb
-
Deprecated.updateClusterer(Instance) should be used instead
- addInstance(BallNode, Instance) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Adds an instance to the ball tree.
- addInstance(BallNode, Instance) - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
-
Adds an instance to the ball tree.
- addInstance(BallNode, Instance) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Adds an instance to the tree.
- addInstance(BallNode, Instance) - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
-
Adds an instance to the ball tree.
- addInstanceAtEnd() - Method in class weka.gui.arffviewer.ArffPanel
-
Add an instance at the end of the dataset
- addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.BallTree
-
Adds the given instance's info.
- addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.CoverTree
-
Adds the given instance info.
- addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
-
Updates the instance info in the underlying search method, once the instance has been filtered.
- addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.KDTree
-
Adds one instance to KDTree loosly.
- addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.LinearNNSearch
-
Adds the given instance info.
- addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
-
Adds information from the given instance without modifying the datastructure a lot.
- addInstanceListener(InstanceListener) - Method in class weka.gui.beans.AbstractDataSource
-
Add an instance listener
- addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Appender
-
Add an instance listener
- addInstanceListener(InstanceListener) - Method in class weka.gui.beans.ClassAssigner
- addInstanceListener(InstanceListener) - Method in interface weka.gui.beans.DataSource
-
Add an instance listener
- addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Filter
-
Add an instance listener
- addInstanceListener(InstanceListener) - Method in class weka.gui.beans.FlowByExpression
- addInstanceListener(InstanceListener) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
- addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Join
-
Add an instance listener
- addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Loader
-
Add an instance listener
- addInstanceListener(InstanceListener) - Method in class weka.gui.beans.PredictionAppender
-
Add an instance listener
- addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Sorter
-
Add an instance listener
- addInstanceListener(InstanceListener) - Method in class weka.gui.beans.SubstringLabeler
-
Add an instance listener
- addInstanceListener(InstanceListener) - Method in class weka.gui.beans.SubstringReplacer
-
Add an instance listener
- addInstanceListener(InstanceListener) - Method in class weka.gui.streams.InstanceJoiner
- addInstanceListener(InstanceListener) - Method in class weka.gui.streams.InstanceLoader
- addInstanceListener(InstanceListener) - Method in interface weka.gui.streams.InstanceProducer
- addInstanceNumberAttribute() - Method in class weka.gui.visualize.PlotData2D
-
Adds an instance number attribute to the plottable instances,
- addInstWithUnknown(Instances, int) - Method in class weka.classifiers.trees.j48.Distribution
-
Adds all instances with unknown values for given attribute, weighted according to frequency of instances in each bag.
- additional() - Method in class weka.core.TechnicalInformation
-
returns an enumeration of all the additional technical informations (if there are any)
- AdditionalMeasureProducer - Interface in weka.core
-
Interface to something that can produce measures other than those calculated by evaluation modules.
- AdditiveRegression - Class in weka.classifiers.meta
-
Meta classifier that enhances the performance of a regression base classifier.
- AdditiveRegression() - Constructor for class weka.classifiers.meta.AdditiveRegression
-
Default constructor specifying DecisionStump as the classifier
- AdditiveRegression(Classifier) - Constructor for class weka.classifiers.meta.AdditiveRegression
-
Constructor which takes base classifier as argument.
- addKeyword(String, MutableAttributeSet) - Method in class weka.gui.scripting.SyntaxDocument
-
Associates a keyword with a particular formatting style.
- addKeywords(String[], MutableAttributeSet) - Method in class weka.gui.scripting.SyntaxDocument
-
Associates the keywords with a particular formatting style.
- addLayoutCompleteEventListener(LayoutCompleteEventListener) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
-
Method to add a LayoutCompleteEventListener
- addLayoutCompleteEventListener(LayoutCompleteEventListener) - Method in interface weka.gui.graphvisualizer.LayoutEngine
-
This method adds a LayoutCompleteEventListener to the LayoutEngine.
- addMiningFields(MiningField) - Method in class weka.core.pmml.jaxbbindings.MiningSchema
- addModel(SimpleLinearRegression) - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
-
Takes the given simple linear regression model and adds it to this one.
- addMouseListener(MouseListener) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Adds a mouse listener.
- addMouseListenerToHeader(JTable) - Method in class weka.gui.SortedTableModel
-
Adds a mouselistener to the header: left-click on the header sorts in ascending manner, using shift-left-click in descending manner.
- addNode(String, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
Add new node to the network, initializing instances, parentsets, distributions.
- addNode(String, int, int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
Add node to network at a given position, initializing instances, parentsets, distributions.
- addNodeValue(int, String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
Add node value to a node.
- addNoise(Instances, int, int, int, boolean) - Method in class weka.filters.unsupervised.attribute.AddNoise
-
add noise to the dataset a given percentage of the instances are changed in the way that a set of instances are randomly selected using seed.
- AddNoise - Class in weka.filters.unsupervised.attribute
-
An instance filter that changes a percentage of a given attribute's values.
- AddNoise() - Constructor for class weka.filters.unsupervised.attribute.AddNoise
- addNull(String) - Method in class weka.core.json.JSONNode
-
Adds a "null" child to the object.
- addNullArrayElement() - Method in class weka.core.json.JSONNode
-
Adds a null array element child to the array.
- addNumericPredictor(NumericPredictor) - Method in class weka.core.pmml.jaxbbindings.RegressionTable
- addObject(String) - Method in class weka.core.json.JSONNode
-
Adds an object child to the object.
- addObject(String, Object) - Method in class weka.gui.ResultHistoryPanel
-
Adds an object to the results list.
- addObjectArrayElement() - Method in class weka.core.json.JSONNode
-
Add a key-value object child into the array
- addOkListener(ActionListener) - Method in class weka.gui.GenericObjectEditor.GOEPanel
-
This is used to hook an action listener to the ok button.
- addOrOverwriteObject(String, Object) - Method in class weka.gui.ResultHistoryPanel
-
Adds an object to the result list.
- addOutgoingConnection(String, StepManagerImpl) - Method in class weka.knowledgeflow.StepManagerImpl
-
Add an outgoing connection (comprising of the type of connection and associated target step) to this step of the specified type.
- addOutgoingConnection(String, StepManagerImpl, boolean) - Method in class weka.knowledgeflow.StepManagerImpl
-
Add an outgoing connection (comprising of the type of connection and associated target step) to this step of the specified type.
- addOutputField(OutputField) - Method in class weka.core.pmml.jaxbbindings.Output
- addPackageToClassLoader(File) - Method in class weka.core.WekaPackageClassLoaderManager
-
Create a class loader for the given package directory
- addParent(int, int, Instances) - Method in class weka.classifiers.bayes.net.ParentSet
-
Add parent to parent set at specific location and update internals (specifically the cardinality of the parent set)
- addParent(int, Instances) - Method in class weka.classifiers.bayes.net.ParentSet
-
Add parent to parent set and update internals (specifically the cardinality of the parent set)
- addPCell(PCell) - Method in class weka.core.pmml.jaxbbindings.ParamMatrix
- addPlot(PlotData2D) - Method in class weka.gui.visualize.Plot2D
-
Add a plot to the list of plots to display
- addPlot(PlotData2D) - Method in class weka.gui.visualize.VisualizePanel
-
Set a new plot to the visualize panel
- addPlotNotificationListener(StripChart.PlotNotificationListener) - Method in class weka.knowledgeflow.steps.StripChart
-
Add a plot notification listener
- addPlugin(String, String, String) - Static method in class weka.core.PluginManager
-
Add a plugin.
- addPlugin(String, String, String) - Static method in class weka.gui.beans.PluginManager
-
Deprecated.Add a plugin.
- addPlugin(String, String, String, boolean) - Static method in class weka.core.PluginManager
-
Add a plugin.
- addPlugin(String, String, String, boolean) - Static method in class weka.gui.beans.PluginManager
-
Deprecated.Add a plugin.
- addPluginResource(String, String, String) - Static method in class weka.core.PluginManager
-
Add a resource.
- addPluginResource(String, String, String) - Static method in class weka.gui.beans.PluginManager
-
Deprecated.Add a resource.
- addPluginResource(String, String, String, String) - Static method in class weka.core.PluginManager
-
Add a resource.
- addPluginResourcesFromProperty(String) - Static method in class weka.core.PluginManager
-
Add resources from a list.
- addPreBuiltClassifier(Classifier) - Method in class weka.classifiers.meta.Vote
-
Add a prebuilt classifier to the list for use in the ensemble
- addPrediction(NominalPrediction) - Method in class weka.classifiers.evaluation.ConfusionMatrix
-
Includes a prediction in the confusion matrix.
- addPredictions(ArrayList<Prediction>) - Method in class weka.classifiers.evaluation.ConfusionMatrix
-
Includes a whole bunch of predictions in the confusion matrix.
- addPrimitive(String, Boolean) - Method in class weka.core.json.JSONNode
-
Adds a key-value child to the object.
- addPrimitive(String, Double) - Method in class weka.core.json.JSONNode
-
Adds a key-value child to the object.
- addPrimitive(String, Integer) - Method in class weka.core.json.JSONNode
-
Adds a key-value child to the object.
- addPrimitive(String, String) - Method in class weka.core.json.JSONNode
-
Adds a key-value child to the object.
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.AssociatorCustomizer
-
Add a property change listener
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.BeanVisual
-
Add a listener for property change events
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassAssignerCustomizer
-
Add a property change listener
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassifierCustomizer
-
Add a property change listener
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
-
Add a property change listener
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassValuePickerCustomizer
-
Add a property change listener
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClustererCustomizer
-
Add a property change listener
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
-
Add a property change listener
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.FilterCustomizer
-
Add a property change listener
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
-
Add a property change listener
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.LoaderCustomizer
-
Add a property change listener
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.PredictionAppenderCustomizer
-
Add a property change listener
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.SaverCustomizer
-
Add a property change listener
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
-
Add a property change listener
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.StripChartCustomizer
-
Add a property change listener
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.TrainTestSplitMakerCustomizer
-
Add a property change listener
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.ColorEditor
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.CostMatrixEditor
-
Adds an object to the list of those that wish to be informed when the cost matrix changes.
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.EnvironmentField
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.AbstractSetupPanel
-
Adds a PropertyChangeListener who will be notified of value changes.
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SetupModePanel
-
Adds a PropertyChangeListener who will be notified of value changes.
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SetupPanel
-
Adds a PropertyChangeListener who will be notified of value changes.
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SimpleSetupPanel
-
Adds a PropertyChangeListener who will be notified of value changes.
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.explorer.PreprocessPanel
-
Adds a PropertyChangeListener who will be notified of value changes.
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.GenericArrayEditor
-
Adds a PropertyChangeListener who will be notified of value changes.
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.GenericObjectEditor
-
Adds a PropertyChangeListener who will be notified of value changes.
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.PasswordField
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.PropertySheetPanel
-
Adds a PropertyChangeListener.
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.SetInstancesPanel
-
Adds a PropertyChangeListener who will be notified of value changes.
- addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.SimpleDateFormatEditor
-
Adds an object to the list of those that wish to be informed when the date format changes.
- addPropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.AbstractDataSource
-
Add a property change listener to this bean
- addPropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.DataVisualizer
-
Add a property change listener to this bean
- addPropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.ModelPerformanceChart
-
Add a property change listener to this bean
- addPropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.TextViewer
-
Add a property change listener to this bean
- addPropertyChangeListenersSubFlow(PropertyChangeListener) - Method in class weka.gui.beans.MetaBean
- addPSFontReplacement(String, String) - Static method in class weka.gui.visualize.PostscriptGraphics
-
adds the PS font name to replace and its replacement in the replacement hashtable
- addQueryExecuteListener(QueryExecuteListener) - Method in class weka.gui.sql.QueryPanel
-
adds the given listener to the list of listeners.
- addQueryExecuteListener(QueryExecuteListener) - Method in class weka.gui.sql.SqlViewer
-
adds the given listener to the list of listeners.
- addRange(int, Instances, int, int) - Method in class weka.classifiers.trees.j48.Distribution
-
Adds all instances in given range to given bag.
- addRelation(Instances) - Method in class weka.core.Attribute
-
Adds a relation to a relation-valued attribute.
- addRemoteExperimentListener(RemoteExperimentListener) - Method in class weka.experiment.RemoteExperiment
-
Add an object to the list of those interested in recieving update information from the RemoteExperiment
- addRemoteExperimentListener(RemoteExperimentListener) - Method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed
-
Add an object to the list of those interested in recieving update information from the RemoteExperiment
- addRemoteHost(String) - Method in class weka.experiment.RemoteExperiment
-
Add a host name to the list of remote hosts
- addRenderingHints(Map<?, ?>) - Method in class weka.gui.visualize.PostscriptGraphics
- addRepaintNotify(Component) - Method in class weka.gui.visualize.ClassPanel
-
Adds a component that will need to be repainted if the user changes the colour of a label.
- addRepaintNotify(Component) - Method in class weka.gui.visualize.LegendPanel
-
Adds a component that will need to be repainted if the user changes the colour of a label.
- ADDRESS - Enum constant in enum class weka.core.TechnicalInformation.Field
-
Usually the address of the publisher or other type of institution.
- addResult(String, StringBuffer) - Method in class weka.gui.ResultHistoryPanel
-
Adds a new result to the result list.
- addResultChangedListener(ResultChangedListener) - Method in class weka.gui.sql.ResultPanel
-
adds the given listener to the list of listeners
- addResultChangedListener(ResultChangedListener) - Method in class weka.gui.sql.SqlViewer
-
adds the given listener to the list of listeners.
- addScriptFinishedListener(ScriptExecutionListener) - Method in class weka.gui.scripting.Script
-
Adds the given listener to its internal list.
- addSettingsMenuItemToProgramMenu(Settings) - Method in class weka.gui.PerspectiveManager
-
Applications can call this to allow access to the settings editor from the program menu (in addition to the toolbar widget that pops up the settings editor)
- addStartupListener(StartUpListener) - Static method in class weka.gui.beans.KnowledgeFlowApp
-
Add a listener to be notified when startup is complete
- addStartupListener(StartUpListener) - Static method in class weka.gui.Main
-
Add a listener to be notified when startup is complete.
- addStep(StepManagerImpl) - Method in class weka.knowledgeflow.Flow
-
Add the given Step to this flow
- addStepOutputListener(StepOutputListener, String) - Method in class weka.knowledgeflow.StepManagerImpl
-
Register non-step third party to receive data from the managed step for the specified outgoing connection type.
- addString(String) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations
-
Adds a variable declaration for a string variable
- addStringValue(String) - Method in class weka.core.Attribute
-
Adds a string value to the list of valid strings for attributes of type STRING and returns the index of the string.
- addStringValue(Attribute, int) - Method in class weka.core.Attribute
-
Adds a string value to the list of valid strings for attributes of type STRING and returns the index of the string.
- addTab(String) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
- addTab(String) - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Add a new titled tab to the UI
- addTableModelListener(TableModelListener) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
adds a listener to the list that is notified each time a change to data model occurs
- addTableModelListener(TableModelListener) - Method in class weka.gui.arffviewer.ArffTableModel
-
adds a listener to the list that is notified each time a change to data model occurs
- addTableModelListener(TableModelListener) - Method in class weka.gui.sql.ResultSetTableModel
-
adds a listener to the list that is notified each time a change to data model occurs.
- addTarget(Target) - Method in class weka.core.pmml.jaxbbindings.Targets
- addTestSetListener(TestSetListener) - Method in class weka.gui.beans.AbstractTestSetProducer
-
Add a listener for test sets
- addTestSetListener(TestSetListener) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
-
Add a test set listener
- addTestSetListener(TestSetListener) - Method in class weka.gui.beans.ClassAssigner
- addTestSetListener(TestSetListener) - Method in class weka.gui.beans.Filter
-
Add a test set listener
- addTestSetListener(TestSetListener) - Method in class weka.gui.beans.PredictionAppender
-
Add a test set listener
- addTestSetListener(TestSetListener) - Method in interface weka.gui.beans.TestSetProducer
-
Add a listener for test set events
- addTextListener(TextListener) - Method in class weka.gui.beans.Associator
-
Add a text listener
- addTextListener(TextListener) - Method in class weka.gui.beans.Classifier
-
Add a text listener
- addTextListener(TextListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
-
Add a text listener
- addTextListener(TextListener) - Method in class weka.gui.beans.Clusterer
-
Add a text listener
- addTextListener(TextListener) - Method in class weka.gui.beans.ClustererPerformanceEvaluator
-
Add a text listener
- addTextListener(TextListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
-
Add a text listener
- addTextListener(TextListener) - Method in class weka.gui.beans.TextViewer
-
Add a text listener
- addThresholdDataListener(ThresholdDataListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
-
Add a threshold data listener
- addTitleUpdatedListener(TitleUpdatedListener) - Method in class weka.gui.scripting.ScriptingPanel
-
Adds the listener to the internal list.
- addToDisabledList(String) - Static method in class weka.core.PluginManager
-
Add the supplied fully qualified class name to the list of disabled plugins
- addToDisabledList(String) - Static method in class weka.gui.beans.PluginManager
-
Deprecated.Add the supplied fully qualified class name to the list of disabled plugins
- addToDisabledList(List<String>) - Static method in class weka.core.PluginManager
-
Add the supplied list of fully qualified class names to the disabled list
- addToDisabledList(List<String>) - Static method in class weka.gui.beans.PluginManager
-
Deprecated.Add the supplied list of fully qualified class names to the disabled list
- addToHistory() - Method in class weka.gui.PropertyPanel
-
Adds the current editor value to the history.
- addToHistory(Object) - Method in class weka.gui.PropertyPanel
-
Adds the specified value to the history.
- addToList(Object[], double) - Method in class weka.attributeSelection.BestFirst.LinkedList2
-
adds an element (Link) to the list.
- addToPluginBeanProps(File) - Static method in class weka.gui.beans.BeansProperties
- addToPluginBeanProps(File) - Static method in class weka.gui.beans.KnowledgeFlowApp
-
Add a plugin bean props file
- addToResult(Data) - Method in class weka.knowledgeflow.JobEnvironment
-
Add a non-incremental data object to the result
- addToStepProperties(Map<String, Map<String, String>>) - Method in class weka.knowledgeflow.JobEnvironment
-
Add the supplied map of step properties.
- addTrainingInstance(Instance) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Adds a training instance to the visualization dataset.
- addTrainingInstanceFromMouseLocation(int, int, int, double) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Adds a training instance to our dataset, based on the coordinates of the mouse on the panel.
- addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
-
Add a training set listener
- addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.AbstractTrainingSetProducer
-
Add a training set listener
- addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.ClassAssigner
- addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.Filter
-
Add a training set listener
- addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.PredictionAppender
-
Add a training set listener
- addTrainingSetListener(TrainingSetListener) - Method in interface weka.gui.beans.TrainingSetProducer
-
Add a training set listener
- addUndoPoint() - Method in interface weka.core.Undoable
-
adds an undo point to the undo history
- addUndoPoint() - Method in class weka.gui.arffviewer.ArffPanel
-
adds the current state of the instances to the undolist
- addUndoPoint() - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
adds an undo point to the undo history
- addUndoPoint() - Method in class weka.gui.arffviewer.ArffTableModel
-
adds an undo point to the undo history, if the undo support is enabled
- addUndoPoint() - Method in class weka.gui.explorer.PreprocessPanel
-
Backs up the current state of the dataset, so the changes can be undone.
- addUntitledTab() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Add a new untitled tab to the UI
- addURL(URL) - Static method in class weka.core.ClassloaderUtil
-
Add URL to CLASSPATH
- AddUserFields - Class in weka.filters.unsupervised.attribute
-
A filter that adds new attributes with user specified type and constant value.
- AddUserFields() - Constructor for class weka.filters.unsupervised.attribute.AddUserFields
-
Constructs a new AddUserFields
- AddUserFields.AttributeSpec - Class in weka.filters.unsupervised.attribute
-
Inner class encapsulating a new user-specified attribute to create.
- AddUserFieldsBeanInfo - Class in weka.filters.unsupervised.attribute
-
Bean info class for the AddUserFields filter.
- AddUserFieldsBeanInfo() - Constructor for class weka.filters.unsupervised.attribute.AddUserFieldsBeanInfo
- AddUserFieldsCustomizer - Class in weka.gui.filters
-
Customizer for the AddUserFields filter.
- AddUserFieldsCustomizer() - Constructor for class weka.gui.filters.AddUserFieldsCustomizer
-
Constructor
- addValue(double, double) - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
-
Add a new data value to the current estimator.
- addValue(double, double) - Method in class weka.estimators.DiscreteEstimator
-
Add a new data value to the current estimator.
- addValue(double, double) - Method in class weka.estimators.Estimator
-
Add a new data value to the current estimator.
- addValue(double, double) - Method in interface weka.estimators.IncrementalEstimator
-
Add one value to the current estimator.
- addValue(double, double) - Method in class weka.estimators.KernelEstimator
-
Add a new data value to the current estimator.
- addValue(double, double) - Method in class weka.estimators.MahalanobisEstimator
-
Add a new data value to the current estimator.
- addValue(double, double) - Method in class weka.estimators.NormalEstimator
-
Add a new data value to the current estimator.
- addValue(double, double) - Method in class weka.estimators.PoissonEstimator
-
Add a new data value to the current estimator.
- addValue(double, double) - Method in interface weka.estimators.UnivariateDensityEstimator
-
Adds a value to the density estimator.
- addValue(double, double) - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
-
Adds a value to the density estimator.
- addValue(double, double) - Method in interface weka.estimators.UnivariateIntervalEstimator
-
Adds a value to the interval estimator.
- addValue(double, double) - Method in class weka.estimators.UnivariateKernelEstimator
-
Adds a value to the density estimator.
- addValue(double, double) - Method in class weka.estimators.UnivariateMixtureEstimator
-
Adds a value to the density estimator.
- addValue(double, double) - Method in class weka.estimators.UnivariateNormalEstimator
-
Adds a value to the density estimator.
- addValue(double, double) - Method in interface weka.estimators.UnivariateQuantileEstimator
-
Adds a value to the interval estimator.
- addValue(double, double, double) - Method in interface weka.estimators.ConditionalEstimator
-
Add a new data value to the current estimator.
- addValue(double, double, double) - Method in class weka.estimators.DDConditionalEstimator
-
Add a new data value to the current estimator.
- addValue(double, double, double) - Method in class weka.estimators.DKConditionalEstimator
-
Add a new data value to the current estimator.
- addValue(double, double, double) - Method in class weka.estimators.DNConditionalEstimator
-
Add a new data value to the current estimator.
- addValue(double, double, double) - Method in class weka.estimators.KDConditionalEstimator
-
Add a new data value to the current estimator.
- addValue(double, double, double) - Method in class weka.estimators.KKConditionalEstimator
-
Add a new data value to the current estimator.
- addValue(double, double, double) - Method in class weka.estimators.NDConditionalEstimator
-
Add a new data value to the current estimator.
- addValue(double, double, double) - Method in class weka.estimators.NNConditionalEstimator
-
Add a new data value to the current estimator.
- addValue(Value) - Method in class weka.core.pmml.jaxbbindings.DataField
- addValues(Instances, int) - Method in class weka.estimators.Estimator
-
Initialize the estimator with a new dataset.
- addValues(Instances, int, double, double, double) - Method in class weka.estimators.Estimator
-
Initialize the estimator with all values of one attribute of a dataset.
- addValues(Instances, int, int, int) - Method in class weka.estimators.Estimator
-
Initialize the estimator using only the instances of one class.
- addValues(Instances, int, int, int, double, double) - Method in class weka.estimators.Estimator
-
Initialize the estimator using only the instances of one class.
- AddValues - Class in weka.filters.unsupervised.attribute
-
Adds the labels from the given list to an attribute if they are missing.
- AddValues() - Constructor for class weka.filters.unsupervised.attribute.AddValues
- addVariable(String, String) - Method in class weka.core.Environment
-
Add a variable to the internal map of this properties object.
- addVariableSystemWide(String, String) - Method in class weka.core.Environment
-
Add a a variable to the internal map of this properties object and to the global system-wide environment;
- addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.AbstractDataSource
-
Add a vetoable change listener to this bean
- addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.CostBenefitAnalysis
- addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.DataVisualizer
-
Add a vetoable change listener to this bean
- addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.GraphViewer
-
Add a vetoable change listener to this bean
- addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.ModelPerformanceChart
-
Add a vetoable change listener to this bean
- addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.TextViewer
-
Add a vetoable change listener to this bean
- addVisualizableErrorListener(VisualizableErrorListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
-
Add a visualizable error listener
- addWeights(Instance, double[]) - Method in class weka.classifiers.trees.j48.Distribution
-
Adds given instance to all bags weighting it according to given weights.
- adjustCenter(double) - Method in class weka.gui.treevisualizer.Node
-
Will increase or decrease the postion of center.
- adjustWeightsTipText() - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Returns the tip text for this property
- ADNode - Class in weka.classifiers.bayes.net
-
The ADNode class implements the ADTree datastructure which increases the speed with which sub-contingency tables can be constructed from a data set in an Instances object.
- ADNode() - Constructor for class weka.classifiers.bayes.net.ADNode
-
Creates new ADNode
- advanceCounters() - Method in class weka.experiment.Experiment
-
Increments iteration counters appropriately.
- advanceCounters() - Method in class weka.experiment.RemoteExperiment
-
overides the one in Experiment
- AFFILIATION - Enum constant in enum class weka.core.TechnicalInformation.Field
-
The authors affiliation.
- AFFINITY - Enum constant in enum class weka.core.pmml.jaxbbindings.RESULTFEATURE
- AFFINITY - Enum constant in enum class weka.core.pmml.jaxbbindings.RULEFEATURE
- aggregate(E) - Method in interface weka.core.Aggregateable
-
Aggregate an object with this one
- aggregate(NaiveBayes) - Method in class weka.classifiers.bayes.NaiveBayes
- aggregate(NaiveBayesMultinomialText) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
- aggregate(Classifier) - Method in class weka.classifiers.meta.Vote
-
Aggregate an object with this one
- aggregate(Evaluation) - Method in class weka.classifiers.AggregateableEvaluation
-
Adds the statistics encapsulated in the supplied Evaluation object into this one.
- aggregate(Evaluation) - Method in class weka.classifiers.evaluation.AggregateableEvaluation
-
Adds the statistics encapsulated in the supplied Evaluation object into this one.
- aggregate(Logistic) - Method in class weka.classifiers.functions.Logistic
-
Aggregate an object with this one
- aggregate(SGD) - Method in class weka.classifiers.functions.SGD
-
Aggregate an object with this one
- aggregate(SGDText) - Method in class weka.classifiers.functions.SGDText
-
Aggregate an object with this one
- aggregate(Bagging) - Method in class weka.classifiers.meta.Bagging
-
Aggregate an object with this one
- aggregate(DictionaryBuilder) - Method in class weka.core.DictionaryBuilder
- aggregate(DiscreteEstimator) - Method in class weka.estimators.DiscreteEstimator
- aggregate(KernelEstimator) - Method in class weka.estimators.KernelEstimator
- aggregate(NormalEstimator) - Method in class weka.estimators.NormalEstimator
- Aggregate - Class in weka.core.pmml.jaxbbindings
-
Java class for Aggregate element declaration.
- Aggregate() - Constructor for class weka.core.pmml.jaxbbindings.Aggregate
- AGGREGATE_NODES - Enum constant in enum class weka.core.pmml.jaxbbindings.MISSINGVALUESTRATEGY
- Aggregateable<E> - Interface in weka.core
-
Interface to something that can aggregate an object of the same type with itself.
- AggregateableEvaluation - Class in weka.classifiers
-
Subclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object.
- AggregateableEvaluation - Class in weka.classifiers.evaluation
-
Subclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object.
- AggregateableEvaluation(Evaluation) - Constructor for class weka.classifiers.AggregateableEvaluation
-
Constructs a new AggregateableEvaluation object based on an Evaluation object
- AggregateableEvaluation(Evaluation) - Constructor for class weka.classifiers.evaluation.AggregateableEvaluation
-
Constructs a new AggregateableEvaluation object based on an Evaluation object
- AggregateableEvaluation(Instances) - Constructor for class weka.classifiers.AggregateableEvaluation
-
Constructs a new AggregateableEvaluation object
- AggregateableEvaluation(Instances) - Constructor for class weka.classifiers.evaluation.AggregateableEvaluation
-
Constructs a new AggregateableEvaluation object
- AggregateableEvaluation(Instances, CostMatrix) - Constructor for class weka.classifiers.AggregateableEvaluation
-
Constructs a new AggregateableEvaluation object
- AggregateableEvaluation(Instances, CostMatrix) - Constructor for class weka.classifiers.evaluation.AggregateableEvaluation
-
Constructs a new AggregateableEvaluation object
- aggregateCanopies(List<Canopy>, double, double, NormalizableDistance, Filter, int) - Static method in class weka.clusterers.Canopy
-
Aggregate the canopies from a list of Canopy clusterers together into one final model.
- Agrawal - Class in weka.datagenerators.classifiers.classification
-
Generates a people database and is based on the paper by Agrawal et al.:
R. - Agrawal() - Constructor for class weka.datagenerators.classifiers.classification.Agrawal
-
initializes the generator with default values
- AIC - Static variable in interface weka.classifiers.bayes.net.search.local.Scoreable
- AlgorithmListPanel - Class in weka.gui.experiment
-
This panel controls setting a list of algorithms for an experiment to iterate over.
- AlgorithmListPanel() - Constructor for class weka.gui.experiment.AlgorithmListPanel
-
Create the algorithm list panel initially disabled.
- AlgorithmListPanel(Experiment) - Constructor for class weka.gui.experiment.AlgorithmListPanel
-
Creates the algorithm list panel with the given experiment.
- AlgorithmListPanel.ObjectCellRenderer - Class in weka.gui.experiment
-
Class required to show the Classifiers nicely in the list
- AlgVector - Class in weka.core
-
Class for performing operations on an algebraic vector of floating-point values.
- AlgVector(double[]) - Constructor for class weka.core.AlgVector
-
Constructs a vector using a given array.
- AlgVector(int) - Constructor for class weka.core.AlgVector
-
Constructs a vector and initializes it with default values.
- AlgVector(Instance) - Constructor for class weka.core.AlgVector
-
Constructs a vector using an instance.
- AlgVector(Instances, Random) - Constructor for class weka.core.AlgVector
-
Constructs a vector using a given data format.
- alignBottom(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
align set of nodes with the bottom most node in the list
- alignLeft(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
align set of nodes with the left most node in the list
- alignRight(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
align set of nodes with the right most node in the list
- alignTop(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
align set of nodes with the top most node in the list
- ALL - Enum constant in enum class weka.core.logging.Logger.Level
-
logs all messages.
- ALL - Static variable in class weka.core.Debug
-
the log level All
- allAttributeWeightsIdentical() - Method in class weka.core.Instances
-
Returns true if all attribute weights are the same and false otherwise.
- AllFilter - Class in weka.filters
-
A simple instance filter that passes all instances directly through.
- AllFilter() - Constructor for class weka.filters.AllFilter
- allInstanceWeightsIdentical() - Method in class weka.core.Instances
-
Returns true if all instance weights are the same and false otherwise.
- AllJavadoc - Class in weka.core
-
Applies all known Javadoc-derived classes to a source file.
- AllJavadoc() - Constructor for class weka.core.AllJavadoc
- allowAccessToFullInputFormat() - Method in class weka.filters.SimpleBatchFilter
-
Returns whether to allow the determineOutputFormat(Instances) method access to the full dataset rather than just the header.
- allowAccessToFullInputFormat() - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
We need access to the full input data in determineOutputFormat.
- allowAccessToFullInputFormat() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
We need access to the full input data in determineOutputFormat.
- allowAccessToFullInputFormat() - Method in class weka.filters.unsupervised.attribute.RandomSubset
-
Returns whether to allow the determineOutputFormat(Instances) method access to the full dataset rather than just the header.
- allowed() - Method in class weka.core.xml.PropertyHandler
-
returns an enumeration of the classnames for which only certain properties (display names) are allowed
- allowUnclassifiedInstancesTipText() - Method in class weka.classifiers.trees.RandomTree
-
Returns the tip text for this property
- AlphabeticTokenizer - Class in weka.core.tokenizers
-
Alphabetic string tokenizer, tokens are to be formed only from contiguous alphabetic sequences.
- AlphabeticTokenizer() - Constructor for class weka.core.tokenizers.AlphabeticTokenizer
- alphaTipText() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
- Alternate - Class in weka.core.pmml.jaxbbindings
-
Java class for Alternate element declaration.
- Alternate() - Constructor for class weka.core.pmml.jaxbbindings.Alternate
- AlterRelationName - Class in weka.knowledgeflow.steps
-
Step that alters the relation name for data received via instance, dataSet, trainingSet and testSet connections
- AlterRelationName() - Constructor for class weka.knowledgeflow.steps.AlterRelationName
- ALWAYS_SEND_INSTANCES_TO_ALL - Static variable in class weka.gui.explorer.PreprocessPanel.PreprocessDefaults
- ALWAYS_SEND_INSTANCES_TO_ALL_KEY - Static variable in class weka.gui.explorer.PreprocessPanel.PreprocessDefaults
- amplitudeTipText() - Method in class weka.datagenerators.classifiers.regression.Expression
-
Returns the tip text for this property
- amplitudeTipText() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Returns the tip text for this property
- ANALYSIS_WEIGHT - Enum constant in enum class weka.core.pmml.jaxbbindings.FIELDUSAGETYPE
- and(Capabilities) - Method in class weka.core.Capabilities
-
performs an AND conjunction with the capabilities of the given Capabilities object and updates itself
- and(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
-
'
&
' or 'and
' logical and operator - AND - Static variable in interface weka.core.expressionlanguage.parser.sym
- Annotation - Class in weka.core.pmml.jaxbbindings
-
Java class for Annotation element declaration.
- Annotation() - Constructor for class weka.core.pmml.jaxbbindings.Annotation
- ANNOTE - Enum constant in enum class weka.core.TechnicalInformation.Field
-
An annotation.
- Anova - Class in weka.core.pmml.jaxbbindings
-
Java class for Anova element declaration.
- Anova() - Constructor for class weka.core.pmml.jaxbbindings.Anova
- AnovaRow - Class in weka.core.pmml.jaxbbindings
-
Java class for AnovaRow element declaration.
- AnovaRow() - Constructor for class weka.core.pmml.jaxbbindings.AnovaRow
- Antd(Attribute) - Constructor for class weka.classifiers.rules.JRip.Antd
-
Constructor
- ANTECEDENT - Enum constant in enum class weka.core.pmml.jaxbbindings.RULEFEATURE
- AntecedentSequence - Class in weka.core.pmml.jaxbbindings
-
Java class for AntecedentSequence element declaration.
- AntecedentSequence() - Constructor for class weka.core.pmml.jaxbbindings.AntecedentSequence
- AnyDistribution - Class in weka.core.pmml.jaxbbindings
-
Java class for AnyDistribution element declaration.
- AnyDistribution() - Constructor for class weka.core.pmml.jaxbbindings.AnyDistribution
- APP_ID - Static variable in class weka.gui.GUIChooserApp.GUIChooserDefaults
-
ID
- APP_ID - Static variable in class weka.gui.WorkbenchDefaults
- APP_ID - Static variable in class weka.knowledgeflow.KFDefaults
- APP_NAME - Static variable in class weka.gui.GUIChooserApp.GUIChooserDefaults
-
APP name (GUIChooser isn't really an "app" as such
- APP_NAME - Static variable in class weka.gui.WorkbenchDefaults
- APP_NAME - Static variable in class weka.knowledgeflow.KFDefaults
- append(char) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
-
Appends the specified character to this output stream.
- append(char) - Method in class weka.core.Tee
-
Appends the specified character to this output stream.
- append(CharSequence) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
-
Appends the specified character sequence to this output stream.
- append(CharSequence) - Method in class weka.core.Tee
-
Appends the specified character sequence to this output stream.
- append(CharSequence, int, int) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
-
Appends a subsequence of the specified character sequence to this output stream.
- append(CharSequence, int, int) - Method in class weka.core.Tee
-
Appends a subsequence of the specified character sequence to this output stream.
- append(Object) - Method in class weka.gui.sql.InfoPanel
-
adds the given message to the end of the list
- append(String, String) - Method in class weka.gui.sql.InfoPanel
-
adds the given message to the end of the list (with the associated icon at the beginning)
- appendBeans(JComponent, Vector<Object>, int) - Static method in class weka.gui.beans.BeanInstance
- appendConnections(Vector<BeanConnection>, int) - Static method in class weka.gui.beans.BeanConnection
-
Append the supplied connections to the list for the given tab index
- appendElements(Collection<? extends E>) - Method in class weka.core.FastVector
-
Deprecated.Appends all elements of the supplied vector to this vector.
- Appender - Class in weka.gui.beans
-
A bean that appends multiple incoming data connections into a single data set.
- Appender - Class in weka.knowledgeflow.steps
-
A bean that appends multiple incoming data connections into a single data set.
- Appender() - Constructor for class weka.gui.beans.Appender
-
Constructs a new Appender.
- Appender() - Constructor for class weka.knowledgeflow.steps.Appender
- AppenderBeanInfo - Class in weka.gui.beans
-
Bean info class for the appender bean
- AppenderBeanInfo() - Constructor for class weka.gui.beans.AppenderBeanInfo
- appendPredictedProbabilitiesTipText() - Method in class weka.gui.beans.PredictionAppender
-
Return a tip text suitable for displaying in a GUI
- Application - Class in weka.core.pmml.jaxbbindings
-
Java class for Application element declaration.
- Application() - Constructor for class weka.core.pmml.jaxbbindings.Application
- Application(String, String) - Constructor for class weka.core.pmml.jaxbbindings.Application
- appliesToNominalClass() - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
-
Return true if this evaluation metric can be computed when the class is nominal
- appliesToNumericClass() - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
-
Return true if this evaluation metric can be computed when the class is numeric
- apply(String[]) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
-
Apply this rule to the supplied array of strings.
- apply(Instance) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
-
Apply this rule to the supplied instance
- apply(Instance) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
-
Apply this rule to the supplied instance
- Apply - Class in weka.core.pmml.jaxbbindings
-
Java class for Apply element declaration.
- Apply() - Constructor for class weka.core.pmml.jaxbbindings.Apply
- applyClassifier(PMMLModel, Instances) - Static method in class weka.core.pmml.PMMLFactory
- applyCostMatrix(Instances, Random) - Method in class weka.classifiers.CostMatrix
-
Applies the cost matrix to a set of instances.
- applyDefaults(Defaults) - Method in class weka.core.Settings
-
Applies a set of default settings.
- applyMinMaxRescaleCast(double) - Method in class weka.core.pmml.TargetMetaInfo
-
Apply min and max, rescaleFactor, rescaleConstant and castInteger - in that order (where defined).
- applyMissingAndOutlierTreatments(double[]) - Method in class weka.core.pmml.MiningSchema
-
Apply both missing and outlier treatments to an incoming instance.
- applyMissingValuesTreatment(double[]) - Method in class weka.core.pmml.MiningSchema
-
Apply the missing value treatments (if any) to an incoming instance.
- applyMissingValueTreatment(double) - Method in class weka.core.pmml.MiningFieldMetaInfo
-
Apply the missing value treatment method for this field.
- applyOutlierTreatment(double) - Method in class weka.core.pmml.MiningFieldMetaInfo
-
Apply the outlier treatment method for this field.
- applyOutlierTreatment(double[]) - Method in class weka.core.pmml.MiningSchema
-
Apply the outlier treatment methods (if any) to an incoming instance.
- applyRules(Instance) - Method in class weka.gui.beans.SubstringReplacerRules
- applySettings(Settings) - Method in class weka.core.packageManagement.DefaultPackageManager
-
Apply settings.
- applySettings(Settings) - Method in class weka.core.packageManagement.PackageManager
-
Apply the supplied settings.
- applySettings(Settings) - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
-
No-op implementation.
- applySettings(Settings) - Method in class weka.gui.knowledgeflow.steps.AttributeSummarizerInteractiveView
-
Apply user-changed settings
- applySettings(Settings) - Method in class weka.gui.knowledgeflow.steps.DataVisualizerInteractiveView
-
Apply any user changes in the supplied settings object
- applySettings(Settings) - Method in class weka.gui.knowledgeflow.steps.ModelPerformanceChartInteractiveView
-
Apply any user changes in the supplied settings object
- applySettings(Settings) - Method in class weka.gui.knowledgeflow.steps.ScatterPlotMatrixInteractiveView
-
Apply any changes to the settings
- applySettings(Settings) - Method in class weka.gui.knowledgeflow.steps.StripChartInteractiveView
-
Apply settings from the supplied settings object
- applySettings(Settings) - Method in class weka.gui.knowledgeflow.steps.TextViewerInteractiveView
-
Applys settings from the supplied settings object
- applySettings(Settings, String) - Method in class weka.gui.visualize.AttributePanel
-
Apply settings
- applySettings(Settings, String) - Method in class weka.gui.visualize.MatrixPanel
- applySettings(Settings, String) - Method in class weka.gui.visualize.Plot2D
-
Apply settings
- applySettings(Settings, String) - Method in class weka.gui.visualize.VisualizePanel
-
Apply settings
- applyToSettings() - Method in class weka.gui.SettingsEditor
- applyToSettings() - Method in class weka.gui.SettingsEditor.SingleSettingsEditor
- APPROVE_OPTION - Static variable in class weka.gui.experiment.OutputFormatDialog
-
Signifies an OK property selection.
- APPROVE_OPTION - Static variable in class weka.gui.ListSelectorDialog
-
Signifies an OK property selection
- APPROVE_OPTION - Static variable in class weka.gui.PropertySelectorDialog
-
Signifies an OK property selection
- APPROVE_OPTION - Static variable in class weka.gui.ViewerDialog
-
Signifies an OK property selection
- Apriori - Class in weka.associations
-
Class implementing an Apriori-type algorithm.
- Apriori() - Constructor for class weka.associations.Apriori
-
Constructor that allows to sets default values for the minimum confidence and the maximum number of rules the minimum confidence.
- AprioriItemSet - Class in weka.associations
-
Class for storing a set of items.
- AprioriItemSet(int) - Constructor for class weka.associations.AprioriItemSet
-
Constructor
- ARCTAN - Enum constant in enum class weka.core.pmml.jaxbbindings.ACTIVATIONFUNCTION
- areaUnderPRC(int) - Method in class weka.classifiers.Evaluation
-
Returns the area under precision-recall curve (AUPRC) for those predictions that have been collected in the evaluateClassifier(Classifier, Instances) method.
- areaUnderPRC(int) - Method in class weka.classifiers.evaluation.Evaluation
-
Returns the area under precision-recall curve (AUPRC) for those predictions that have been collected in the evaluateClassifier(Classifier, Instances) method.
- areaUnderROC(int) - Method in class weka.classifiers.Evaluation
-
Returns the area under ROC for those predictions that have been collected in the evaluateClassifier(Classifier, Instances) method.
- areaUnderROC(int) - Method in class weka.classifiers.evaluation.Evaluation
-
Returns the area under ROC for those predictions that have been collected in the evaluateClassifier(Classifier, Instances) method.
- ARFF_ATTRIBUTE - Static variable in class weka.core.Attribute
-
The keyword used to denote the start of an arff attribute declaration
- ARFF_ATTRIBUTE_DATE - Static variable in class weka.core.Attribute
-
The keyword used to denote a date attribute
- ARFF_ATTRIBUTE_INTEGER - Static variable in class weka.core.Attribute
-
A keyword used to denote a numeric attribute
- ARFF_ATTRIBUTE_NUMERIC - Static variable in class weka.core.Attribute
-
A keyword used to denote a numeric attribute
- ARFF_ATTRIBUTE_REAL - Static variable in class weka.core.Attribute
-
A keyword used to denote a numeric attribute
- ARFF_ATTRIBUTE_RELATIONAL - Static variable in class weka.core.Attribute
-
The keyword used to denote a relation-valued attribute
- ARFF_ATTRIBUTE_STRING - Static variable in class weka.core.Attribute
-
The keyword used to denote a string attribute
- ARFF_DATA - Static variable in class weka.core.Instances
-
The keyword used to denote the start of the arff data section
- ARFF_END_SUBRELATION - Static variable in class weka.core.Attribute
-
The keyword used to denote the end of the declaration of a subrelation
- ARFF_RELATION - Static variable in class weka.core.Instances
-
The keyword used to denote the start of an arff header
- ArffLoader - Class in weka.core.converters
-
Reads a source that is in arff (attribute relation file format) format.
- ArffLoader() - Constructor for class weka.core.converters.ArffLoader
- ArffLoader.ArffReader - Class in weka.core.converters
-
Reads data from an ARFF file, either in incremental or batch mode.
- ArffPanel - Class in weka.gui.arffviewer
-
A Panel representing an ARFF-Table and the associated filename.
- ArffPanel() - Constructor for class weka.gui.arffviewer.ArffPanel
-
initializes the panel with no data
- ArffPanel(String, AbstractFileLoader...) - Constructor for class weka.gui.arffviewer.ArffPanel
-
initializes the panel and loads the specified file
- ArffPanel(Instances) - Constructor for class weka.gui.arffviewer.ArffPanel
-
initializes the panel with the given data
- ArffReader(Reader) - Constructor for class weka.core.converters.ArffLoader.ArffReader
-
Reads the data completely from the reader.
- ArffReader(Reader, int) - Constructor for class weka.core.converters.ArffLoader.ArffReader
- ArffReader(Reader, int, boolean) - Constructor for class weka.core.converters.ArffLoader.ArffReader
-
Reads only the header and reserves the specified space for instances.
- ArffReader(Reader, Instances, int, int, boolean, String...) - Constructor for class weka.core.converters.ArffLoader.ArffReader
-
Initializes the reader without reading the header according to the specified template.
- ArffReader(Reader, Instances, int, int, String...) - Constructor for class weka.core.converters.ArffLoader.ArffReader
-
Initializes the reader without reading the header according to the specified template.
- ArffReader(Reader, Instances, int, String...) - Constructor for class weka.core.converters.ArffLoader.ArffReader
-
Reads the data without header according to the specified template.
- ArffSaver - Class in weka.core.converters
-
Writes to a destination in arff text format.
- ArffSaver() - Constructor for class weka.core.converters.ArffSaver
-
Constructor
- ArffSortedTableModel - Class in weka.gui.arffviewer
-
A sorter for the ARFF-Viewer - necessary because of the custom CellRenderer.
- ArffSortedTableModel(String, AbstractFileLoader...) - Constructor for class weka.gui.arffviewer.ArffSortedTableModel
-
initializes the sorter w/o a model, but loads the given file and creates from that a model
- ArffSortedTableModel(TableModel) - Constructor for class weka.gui.arffviewer.ArffSortedTableModel
-
initializes the sorter with the given model
- ArffSortedTableModel(Instances) - Constructor for class weka.gui.arffviewer.ArffSortedTableModel
-
initializes the sorter w/o a model, but uses the given data to create a model from that
- ArffTable - Class in weka.gui.arffviewer
-
A specialized JTable for the Arff-Viewer.
- ArffTable() - Constructor for class weka.gui.arffviewer.ArffTable
-
initializes with no model
- ArffTable(TableModel) - Constructor for class weka.gui.arffviewer.ArffTable
-
initializes with the given model
- ArffTableCellRenderer - Class in weka.gui.arffviewer
-
Handles the background colors for missing values differently than the DefaultTableCellRenderer.
- ArffTableCellRenderer() - Constructor for class weka.gui.arffviewer.ArffTableCellRenderer
-
initializes the Renderer with a standard color
- ArffTableCellRenderer(Color, Color) - Constructor for class weka.gui.arffviewer.ArffTableCellRenderer
-
initializes the Renderer with the given colors
- ArffTableCellRenderer(Color, Color, Color, Color) - Constructor for class weka.gui.arffviewer.ArffTableCellRenderer
-
initializes the Renderer with the given colors
- ArffTableModel - Class in weka.gui.arffviewer
-
The model for the Arff-Viewer.
- ArffTableModel(String, AbstractFileLoader...) - Constructor for class weka.gui.arffviewer.ArffTableModel
-
initializes the object and loads the given file
- ArffTableModel(Instances) - Constructor for class weka.gui.arffviewer.ArffTableModel
-
initializes the model with the given data
- ArffViewer - Class in weka.gui.arffviewer
-
A little tool for viewing ARFF files.
- ArffViewer() - Constructor for class weka.gui.arffviewer.ArffViewer
-
initializes the object
- ArffViewerMainPanel - Class in weka.gui.arffviewer
-
The main panel of the ArffViewer.
- ArffViewerMainPanel(Container) - Constructor for class weka.gui.arffviewer.ArffViewerMainPanel
-
initializes the object
- ARIMA - Enum constant in enum class weka.core.pmml.jaxbbindings.TIMESERIESALGORITHM
- Array - Class in weka.core.pmml
-
Class for encapsulating a PMML Array element.
- ARRAY - Enum constant in enum class weka.core.json.JSONNode.NodeType
-
an array.
- Array.ArrayType - Enum Class in weka.core.pmml
- arrayLeftDivide(Matrix) - Method in class weka.core.matrix.Matrix
-
Element-by-element left division, C = A.\B
- arrayLeftDivideEquals(Matrix) - Method in class weka.core.matrix.Matrix
-
Element-by-element left division in place, A = A.\B
- arrayRightDivide(Matrix) - Method in class weka.core.matrix.Matrix
-
Element-by-element right division, C = A./B
- arrayRightDivideEquals(Matrix) - Method in class weka.core.matrix.Matrix
-
Element-by-element right division in place, A = A./B
- arrayTimes(Matrix) - Method in class weka.core.matrix.Matrix
-
Element-by-element multiplication, C = A.*B
- arrayTimesEquals(Matrix) - Method in class weka.core.matrix.Matrix
-
Element-by-element multiplication in place, A = A.*B
- arrayToString(Object) - Static method in class weka.core.Utils
-
Returns the given Array in a string representation.
- arrayToString(Object[]) - Static method in class weka.experiment.DatabaseUtils
-
Converts an array of objects to a string by inserting a space between each element.
- ArrayType - Class in weka.core.pmml.jaxbbindings
-
Java class for ArrayType complex type.
- ArrayType() - Constructor for class weka.core.pmml.jaxbbindings.ArrayType
- ARTICLE - Enum constant in enum class weka.core.TechnicalInformation.Type
-
An article from a journal or magazine.
- AS_EXTREME_VALUES - Enum constant in enum class weka.core.pmml.jaxbbindings.OUTLIERTREATMENTMETHOD
- AS_IS - Enum constant in enum class weka.core.pmml.jaxbbindings.INVALIDVALUETREATMENTMETHOD
- AS_IS - Enum constant in enum class weka.core.pmml.jaxbbindings.MISSINGVALUETREATMENTMETHOD
- AS_IS - Enum constant in enum class weka.core.pmml.jaxbbindings.OUTLIERTREATMENTMETHOD
- AS_MEAN - Enum constant in enum class weka.core.pmml.jaxbbindings.MISSINGVALUETREATMENTMETHOD
- AS_MEDIAN - Enum constant in enum class weka.core.pmml.jaxbbindings.MISSINGVALUETREATMENTMETHOD
- AS_MISSING - Enum constant in enum class weka.core.pmml.jaxbbindings.INVALIDVALUETREATMENTMETHOD
- AS_MISSING_VALUES - Enum constant in enum class weka.core.pmml.jaxbbindings.OUTLIERTREATMENTMETHOD
- AS_MODE - Enum constant in enum class weka.core.pmml.jaxbbindings.MISSINGVALUETREATMENTMETHOD
- AS_VALUE - Enum constant in enum class weka.core.pmml.jaxbbindings.MISSINGVALUETREATMENTMETHOD
- ASEvaluation - Class in weka.attributeSelection
-
Abstract attribute selection evaluation class
- ASEvaluation() - Constructor for class weka.attributeSelection.ASEvaluation
- ASEvaluator - Class in weka.knowledgeflow.steps
-
Step that wraps a Weka attribute or subset evaluator.
- ASEvaluator() - Constructor for class weka.knowledgeflow.steps.ASEvaluator
- ASEvaluatorStepEditorDialog - Class in weka.gui.knowledgeflow.steps
-
Step editor dialog for the ASEvaluator step
- ASEvaluatorStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.ASEvaluatorStepEditorDialog
- ASSearch - Class in weka.attributeSelection
-
Abstract attribute selection search class.
- ASSearch() - Constructor for class weka.attributeSelection.ASSearch
- ASSearchStrategy - Class in weka.knowledgeflow.steps
-
Step that wraps a Weka attribute selection search strategy.
- ASSearchStrategy() - Constructor for class weka.knowledgeflow.steps.ASSearchStrategy
- assign(Capabilities) - Method in class weka.core.Capabilities
-
retrieves the data from the given Capabilities object
- assign(TestInstances) - Method in class weka.core.TestInstances
-
updates itself with all the settings from the given TestInstances object
- assign(ResultMatrix) - Method in class weka.experiment.ResultMatrix
-
acquires the data from the given matrix.
- assign(Tester) - Method in class weka.experiment.PairedTTester
-
retrieves all the settings from the given Tester
- assign(Tester) - Method in interface weka.experiment.Tester
-
retrieves all the settings from the given Tester
- assignCanopies(Instance) - Method in class weka.clusterers.Canopy
-
Uses T1 distance to assign canopies to the supplied instance.
- assignIDs(int) - Method in class weka.classifiers.trees.j48.ClassifierTree
-
Assigns a uniqe id to every node in the tree.
- assignIDs(int) - Method in class weka.classifiers.trees.lmt.LMTNode
-
Assigns unique IDs to all nodes in the tree
- assignLeafModelNumbers(int) - Method in class weka.classifiers.trees.lmt.LMTNode
-
Assigns numbers to the logistic regression models at the leaves of the tree
- assignSubToCenters(KDTreeNode, Instances, int[], int[]) - Method in class weka.core.neighboursearch.KDTree
-
Assigns instances of this node to center.
- associatedConnections(Vector<Object>, Integer...) - Static method in class weka.gui.beans.BeanConnection
-
Returns a vector of BeanConnections associated with the supplied vector of BeanInstances, i.e.
- ASSOCIATION_RULES - Enum constant in enum class weka.core.pmml.jaxbbindings.MININGFUNCTION
- AssociationModel - Class in weka.core.pmml.jaxbbindings
-
Java class for AssociationModel element declaration.
- AssociationModel() - Constructor for class weka.core.pmml.jaxbbindings.AssociationModel
- AssociationRule - Class in weka.associations
-
Abstract class for storing and manipulating an association rule.
- AssociationRule - Class in weka.core.pmml.jaxbbindings
-
Java class for AssociationRule element declaration.
- AssociationRule() - Constructor for class weka.associations.AssociationRule
- AssociationRule() - Constructor for class weka.core.pmml.jaxbbindings.AssociationRule
- AssociationRules - Class in weka.associations
-
Class encapsulating a list of association rules.
- AssociationRules(List<AssociationRule>) - Constructor for class weka.associations.AssociationRules
-
Constructs a new AssociationRules.
- AssociationRules(List<AssociationRule>, Object) - Constructor for class weka.associations.AssociationRules
-
Constructs a new AssociationRules.
- AssociationRules(List<AssociationRule>, String) - Constructor for class weka.associations.AssociationRules
-
Constructs a new AssociationRules.
- AssociationRulesProducer - Interface in weka.associations
-
Interface to something that can provide a list of AssociationRules.
- AssociationRuleVisualizePlugin - Interface in weka.gui.visualize.plugins
-
Interface implemented by classes loaded dynamically to visualize association results in the explorer.
- AssociationsPanel - Class in weka.gui.explorer
-
This panel allows the user to select, configure, and run a scheme that learns associations.
- AssociationsPanel() - Constructor for class weka.gui.explorer.AssociationsPanel
-
Creates the associator panel
- Associator - Class in weka.gui.beans
-
Bean that wraps around weka.associations.
- Associator - Class in weka.knowledgeflow.steps
-
Step that wraps a Weka associator.
- Associator - Interface in weka.associations
- Associator() - Constructor for class weka.gui.beans.Associator
-
Creates a new
Associator
instance. - Associator() - Constructor for class weka.knowledgeflow.steps.Associator
- ASSOCIATOR - Enum constant in enum class weka.Run.SchemeType
- AssociatorBeanInfo - Class in weka.gui.beans
-
BeanInfo class for the Associator wrapper bean
- AssociatorBeanInfo() - Constructor for class weka.gui.beans.AssociatorBeanInfo
- AssociatorCustomizer - Class in weka.gui.beans
-
GUI customizer for the associator wrapper bean
- AssociatorCustomizer() - Constructor for class weka.gui.beans.AssociatorCustomizer
- AssociatorEvaluation - Class in weka.associations
-
Class for evaluating Associaters.
- AssociatorEvaluation() - Constructor for class weka.associations.AssociatorEvaluation
-
default constructor
- associatorTipText() - Method in class weka.associations.SingleAssociatorEnhancer
-
Returns the tip text for this property
- ATT_ARRAY - Static variable in class weka.core.xml.XMLSerialization
-
the tag whether array or not (yes/no)
- ATT_ARRAY_DEFAULT - Static variable in class weka.core.xml.XMLSerialization
-
default value for attribute ATT_ARRAY
- ATT_CLASS - Static variable in class weka.core.xml.XMLInstances
-
the class attribute
- ATT_CLASS - Static variable in class weka.core.xml.XMLSerialization
-
the tag for the class
- ATT_FORMAT - Static variable in class weka.core.xml.XMLInstances
-
the format attribute (for date attributes)
- ATT_INDEX - Static variable in class weka.classifiers.evaluation.output.prediction.XML
-
the index attribute.
- ATT_INDEX - Static variable in class weka.core.xml.XMLInstances
-
the index attribute
- ATT_MISSING - Static variable in class weka.core.xml.XMLInstances
-
the missing attribute
- ATT_NAME - Static variable in class weka.classifiers.evaluation.output.prediction.XML
-
the "name" attribute.
- ATT_NAME - Static variable in class weka.core.xml.XMLDocument
-
the "name" attribute.
- ATT_NAME - Static variable in class weka.core.xml.XMLOptions
-
the name attribute.
- ATT_NAME - Static variable in class weka.core.xml.XMLSerialization
-
the tag for the name
- ATT_NULL - Static variable in class weka.core.xml.XMLSerialization
-
the tag whether null or not (yes/no)
- ATT_NULL_DEFAULT - Static variable in class weka.core.xml.XMLSerialization
-
default value for attribute ATT_NULL
- ATT_PREDICTED - Static variable in class weka.classifiers.evaluation.output.prediction.XML
-
the predicted attribute.
- ATT_PRIMITIVE - Static variable in class weka.core.xml.XMLSerialization
-
the tag whether primitive or not (yes/no)
- ATT_PRIMITIVE_DEFAULT - Static variable in class weka.core.xml.XMLSerialization
-
default value for attribute ATT_PRIMITIVE
- ATT_TYPE - Static variable in class weka.classifiers.evaluation.output.prediction.XML
-
the "type" attribute.
- ATT_TYPE - Static variable in class weka.core.xml.XMLInstances
-
the type attribute
- ATT_TYPE - Static variable in class weka.core.xml.XMLOptions
-
the type attribute.
- ATT_VALUE - Static variable in class weka.core.xml.XMLOptions
-
the value attribute.
- ATT_VERSION - Static variable in class weka.classifiers.evaluation.output.prediction.XML
-
the "version" attribute.
- ATT_VERSION - Static variable in class weka.core.xml.XMLDocument
-
the "version" attribute.
- ATT_VERSION - Static variable in class weka.core.xml.XMLInstances
-
the version attribute
- ATT_VERSION - Static variable in class weka.core.xml.XMLSerialization
-
the version attribute
- ATT_WEIGHT - Static variable in class weka.core.xml.XMLInstances
-
the weight attribute
- AttDefaults() - Constructor for class weka.gui.knowledgeflow.AttributeSummaryPerspective.AttDefaults
- attIndex() - Method in class weka.classifiers.trees.j48.BinC45Split
-
Returns index of attribute for which split was generated.
- attIndex() - Method in class weka.classifiers.trees.j48.C45Split
-
Returns index of attribute for which split was generated.
- attIndex() - Method in class weka.classifiers.trees.j48.NBTreeSplit
-
Returns index of attribute for which split was generated.
- attList_IrrTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Returns the tip text for this property
- attribute(int) - Method in class weka.core.AbstractInstance
-
Returns the attribute with the given index.
- attribute(int) - Method in interface weka.core.Instance
-
Returns the attribute with the given index.
- attribute(int) - Method in class weka.core.Instances
-
Returns an attribute.
- attribute(String) - Method in class weka.core.Instances
-
Returns an attribute given its name.
- Attribute - Class in weka.core
-
Class for handling an attribute.
- Attribute - Class in weka.core.pmml.jaxbbindings
-
Java class for Attribute element declaration.
- Attribute() - Constructor for class weka.core.pmml.jaxbbindings.Attribute
- Attribute(String) - Constructor for class weka.core.Attribute
-
Constructor for a numeric attribute.
- Attribute(String, boolean) - Constructor for class weka.core.Attribute
-
Constructor for a numeric or string attribute.
- Attribute(String, boolean, ProtectedProperties) - Constructor for class weka.core.Attribute
-
Constructor for a numeric or string attribute, where metadata is supplied.
- Attribute(String, int) - Constructor for class weka.core.Attribute
-
Constructor for a numeric attribute with a particular index.
- Attribute(String, String) - Constructor for class weka.core.Attribute
-
Constructor for a date attribute.
- Attribute(String, String, int) - Constructor for class weka.core.Attribute
-
Constructor for date attributes with a particular index.
- Attribute(String, String, ProtectedProperties) - Constructor for class weka.core.Attribute
-
Constructor for a date attribute, where metadata is supplied.
- Attribute(String, List<String>) - Constructor for class weka.core.Attribute
-
Constructor for nominal attributes and string attributes.
- Attribute(String, List<String>, int) - Constructor for class weka.core.Attribute
-
Constructor for nominal attributes and string attributes with a particular index.
- Attribute(String, List<String>, ProtectedProperties) - Constructor for class weka.core.Attribute
-
Constructor for nominal attributes and string attributes, where metadata is supplied.
- Attribute(String, Instances) - Constructor for class weka.core.Attribute
-
Constructor for relation-valued attributes.
- Attribute(String, Instances, int) - Constructor for class weka.core.Attribute
-
Constructor for a relation-valued attribute with a particular index.
- Attribute(String, Instances, ProtectedProperties) - Constructor for class weka.core.Attribute
-
Constructor for relation-valued attributes.
- Attribute(String, ProtectedProperties) - Constructor for class weka.core.Attribute
-
Constructor for a numeric attribute, where metadata is supplied.
- ATTRIBUTE_SELECTION - Enum constant in enum class weka.Run.SchemeType
- attributeAsClass() - Method in class weka.gui.arffviewer.ArffPanel
-
sets the current attribute as class attribute, i.e.
- attributeAsClass() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
sets the current selected Attribute as class attribute, i.e.
- attributeAsClassAt(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
sets the attribute at the given col index as the new class attribute
- attributeAsClassAt(int) - Method in class weka.gui.arffviewer.ArffTableModel
-
sets the attribute at the given col index as the new class attribute, i.e.
- attributeCaseFix(String) - Method in class weka.experiment.DatabaseUtils
-
returns key column headings in their original case.
- attributeCaseFix(String) - Method in interface weka.experiment.InstanceQueryAdapter
-
returns key column headings in their original case.
- AttributeEvaluator - Interface in weka.attributeSelection
-
Interface for classes that evaluate attributes individually.
- attributeIndexesTipText() - Method in class weka.filters.unsupervised.attribute.NominalToString
-
Returns the tip text for this property
- attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.Add
-
Returns the tip text for this property.
- attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Returns the tip text for this property
- attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.AddValues
-
Returns the tip text for this property
- attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
- attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
- attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
-
Returns the tip text for this property.
- attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
- attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.SwapValues
- attributeIndexTipText() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Returns the tip text for this property
- attributeIndexTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.core.DictionaryBuilder
-
Returns the tip text for this property.
- attributeIndicesTipText() - Method in class weka.core.NormalizableDistance
-
Returns the tip text for this property.
- attributeIndicesTipText() - Method in class weka.filters.supervised.attribute.Discretize
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.CartesianProduct
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.Copy
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.FirstOrder
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NumericToDate
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.Remove
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Returns the tip text for this property.
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.Reorder
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Returns the tip text for this property
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.SortLabels
-
Returns the tip text for this property.
- attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Returns the tip text for this property.
- AttributeListPanel - Class in weka.gui
-
Creates a panel that displays the attributes contained in a set of instances, letting the user select a single attribute for inspection.
- AttributeListPanel() - Constructor for class weka.gui.AttributeListPanel
-
Creates the attribute selection panel with no initial instances.
- AttributeLocator - Class in weka.core
-
This class locates and records the indices of a certain type of attributes, recursively in case of Relational attributes.
- AttributeLocator(Instances, int) - Constructor for class weka.core.AttributeLocator
-
Initializes the AttributeLocator with the given data for the specified type of attribute.
- AttributeLocator(Instances, int, int[]) - Constructor for class weka.core.AttributeLocator
-
initializes the AttributeLocator with the given data for the specified type of attribute.
- AttributeLocator(Instances, int, int, int) - Constructor for class weka.core.AttributeLocator
-
Initializes the AttributeLocator with the given data for the specified type of attribute.
- AttributeMetaInfo - Class in weka.core
- AttributeMetaInfo(ProtectedProperties, Attribute) - Constructor for class weka.core.AttributeMetaInfo
-
Creates the meta info object based on the given meta data.
- attributeNamePrefixTipText() - Method in class weka.core.DictionaryBuilder
-
Returns the tip text for this property.
- attributeNamePrefixTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Returns the tip text for this property.
- attributeNames() - Method in class weka.classifiers.functions.SMO
-
Returns the attribute names.
- attributeNameTipText() - Method in class weka.filters.unsupervised.attribute.Add
-
Returns the tip text for this property.
- attributeNameTipText() - Method in class weka.filters.unsupervised.attribute.AddID
-
Returns the tip text for this property
- AttributePanel - Class in weka.gui.visualize
-
This panel displays one dimensional views of the attributes in a dataset.
- AttributePanel() - Constructor for class weka.gui.visualize.AttributePanel
- AttributePanel(Color) - Constructor for class weka.gui.visualize.AttributePanel
-
This constructs an attributePanel.
- AttributePanelEvent - Class in weka.gui.visualize
-
Class encapsulating a change in the AttributePanel's selected x and y attributes.
- AttributePanelEvent(boolean, boolean, int) - Constructor for class weka.gui.visualize.AttributePanelEvent
-
Constructor
- AttributePanelListener - Interface in weka.gui.visualize
-
Interface for classes that want to listen for Attribute selection changes in the attribute panel
- attributeRangeTipText() - Method in class weka.filters.unsupervised.attribute.StringToNominal
- ATTRIBUTES - Static variable in class weka.core.json.JSONInstances
-
the attributes object.
- AttributeSelectedClassifier - Class in weka.classifiers.meta
-
Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier.
- AttributeSelectedClassifier() - Constructor for class weka.classifiers.meta.AttributeSelectedClassifier
-
Default constructor.
- AttributeSelection - Class in weka.attributeSelection
-
Attribute selection class.
- AttributeSelection - Class in weka.filters.supervised.attribute
-
A supervised attribute filter that can be used to select attributes.
- AttributeSelection() - Constructor for class weka.attributeSelection.AttributeSelection
-
constructor.
- AttributeSelection() - Constructor for class weka.filters.supervised.attribute.AttributeSelection
-
Constructor
- attributeSelectionChange(AttributePanelEvent) - Method in interface weka.gui.visualize.AttributePanelListener
-
Called when the user clicks on an attribute bar
- attributeSelectionMethodTipText() - Method in class weka.classifiers.functions.LinearRegression
-
Returns the tip text for this property
- AttributeSelectionPanel - Class in weka.gui
-
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 - Class in weka.gui.explorer
-
This panel allows the user to select and configure an attribute evaluator and a search method, set the attribute of the current dataset to be used as the class, and perform attribute selection using one of two selection modes (select using all the training data or perform a n-fold cross validation---on each trial selecting features using n-1 folds of the data).
- AttributeSelectionPanel() - Constructor for class weka.gui.AttributeSelectionPanel
-
Creates the attribute selection panel with no initial instances.
- AttributeSelectionPanel() - Constructor for class weka.gui.explorer.AttributeSelectionPanel
-
Creates the classifier panel
- AttributeSelectionPanel(boolean, boolean, boolean, boolean) - Constructor for class weka.gui.AttributeSelectionPanel
-
Creates the attribute selection panel with no initial instances.
- AttributeSelectionPanel.TestMode - Enum Class in weka.gui.explorer
- AttributeSetEvaluator - Class in weka.attributeSelection
-
Abstract attribute set evaluator.
- AttributeSetEvaluator() - Constructor for class weka.attributeSelection.AttributeSetEvaluator
- attributeSparse(int) - Method in class weka.core.AbstractInstance
-
Returns the attribute with the given index in the sparse representation.
- attributeSparse(int) - Method in interface weka.core.Instance
-
Returns the attribute with the given index in the sparse representation.
- AttributeSpec() - Constructor for class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
-
Default constructor
- AttributeSpec(String) - Constructor for class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
-
Constructor that takes an attribute specification in internal format
- attributeSpecsTipText() - Method in class weka.filters.unsupervised.attribute.AddUserFields
-
Returns the tip text for this property.
- attributeStats(int) - Method in class weka.core.Instances
-
Calculates summary statistics on the values that appear in this set of instances for a specified attribute.
- AttributeStats - Class in weka.core
-
A Utility class that contains summary information on an the values that appear in a dataset for a particular attribute.
- AttributeStats() - Constructor for class weka.core.AttributeStats
- attributesTipText() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Returns the tip text for this property.
- attributesTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
Tip text for this property suitable for displaying in the GUI.
- attributesToString() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Make a string from the attribues list.
- AttributeSummarizer - Class in weka.gui.beans
-
Bean that encapsulates displays bar graph summaries for attributes in a data set.
- AttributeSummarizer - Class in weka.knowledgeflow.steps
-
Step that collects data to display in a summary overview of attribute distributions
- AttributeSummarizer() - Constructor for class weka.gui.beans.AttributeSummarizer
-
Creates a new
AttributeSummarizer
instance. - AttributeSummarizer() - Constructor for class weka.knowledgeflow.steps.AttributeSummarizer
- AttributeSummarizerBeanInfo - Class in weka.gui.beans
-
Bean info class for the attribute summarizer bean
- AttributeSummarizerBeanInfo() - Constructor for class weka.gui.beans.AttributeSummarizerBeanInfo
- AttributeSummarizerCustomizer - Class in weka.gui.beans
-
GUI customizer for attribute summarizer.
- AttributeSummarizerCustomizer() - Constructor for class weka.gui.beans.AttributeSummarizerCustomizer
-
Constructor
- AttributeSummarizerInteractiveView - Class in weka.gui.knowledgeflow.steps
-
Interactive viewer for the AttributeSummarizer step
- AttributeSummarizerInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.AttributeSummarizerInteractiveView
- AttributeSummarizerStepEditorDialog - Class in weka.gui.knowledgeflow.steps
-
Step editor dialog for the attribute summarizer step
- AttributeSummarizerStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.AttributeSummarizerStepEditorDialog
- AttributeSummaryPanel - Class in weka.gui
-
This panel displays summary statistics about an attribute: name, type number/% of missing/unique values, number of distinct values.
- AttributeSummaryPanel() - Constructor for class weka.gui.AttributeSummaryPanel
-
Creates the instances panel with no initial instances.
- AttributeSummaryPerspective - Class in weka.gui.knowledgeflow
-
Knowledge Flow perspective that provides a matrix of AttributeVisualizationPanels
- AttributeSummaryPerspective() - Constructor for class weka.gui.knowledgeflow.AttributeSummaryPerspective
-
Constructor
- AttributeSummaryPerspective.AttDefaults - Class in weka.gui.knowledgeflow
-
Default settings for the AttributeSummaryPerspective
- attributeToDoubleArray(int) - Method in class weka.core.Instances
-
Gets the value of all instances in this dataset for a particular attribute.
- AttributeTransformer - Interface in weka.attributeSelection
-
Abstract attribute transformer.
- attributeTypeTipText() - Method in class weka.filters.unsupervised.attribute.Add
-
Returns the tip text for this property
- attributeTypeTipText() - Method in class weka.filters.unsupervised.attribute.RemoveType
-
Returns the tip text for this property
- attributeTypeToString(int) - Static method in class weka.core.CheckScheme
-
returns a string representation of the attribute type
- attributeValues - Variable in class weka.classifiers.evaluation.output.prediction.InMemory.PredictionContainer
-
the associated attribute values (attribute-name - value).
- AttributeVisualizationPanel - Class in weka.gui
-
Creates a panel that shows a visualization of an attribute in a dataset.
- AttributeVisualizationPanel() - Constructor for class weka.gui.AttributeVisualizationPanel
-
Constructor - If used then the class will not show the class selection combo box.
- AttributeVisualizationPanel(boolean) - Constructor for class weka.gui.AttributeVisualizationPanel
-
Constructor.
- attrIndexRangeTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Returns the tip text for this property
- attrSplit(int, Instances) - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
-
Finds the best splitting point for an attribute in the instances
- attrSplit(int, Instances) - Method in interface weka.classifiers.trees.m5.SplitEvaluate
-
Finds the best splitting point for an attribute in the instances
- attrSplit(int, Instances) - Method in class weka.classifiers.trees.m5.YongSplitInfo
-
Finds the best splitting point for an attribute in the instances
- AUTHOR - Enum constant in enum class weka.core.TechnicalInformation.Field
-
The name(s) of the author(s), in the format described in the LaTeX book.
- autoBuildTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
- autoKeyGenerationTipText() - Method in class weka.core.converters.DatabaseSaver
-
Returns the tip text for this property.
- AVERAGE - Enum constant in enum class weka.core.pmml.jaxbbindings.CONTSCORINGMETHOD
- AVERAGE - Enum constant in enum class weka.core.pmml.jaxbbindings.MULTIPLEMODELMETHOD
- AVERAGE_RULE - Static variable in class weka.classifiers.meta.Vote
-
combination rule: Average of Probabilities
- AveragingResultProducer - Class in weka.experiment
-
Takes the results from a ResultProducer and submits the average to the result listener.
- AveragingResultProducer() - Constructor for class weka.experiment.AveragingResultProducer
- avgCost() - Method in class weka.classifiers.Evaluation
-
Gets the average cost, that is, total cost of misclassifications (incorrect plus unclassified) over the total number of instances.
- avgCost() - Method in class weka.classifiers.evaluation.Evaluation
-
Gets the average cost, that is, total cost of misclassifications (incorrect plus unclassified) over the total number of instances.
- avgProb - Variable in class weka.classifiers.lazy.kstar.KStarWrapper
-
used/reused to hold the average transformation probability
- AXIS_COLOR - Static variable in class weka.gui.visualize.VisualizeUtils.VisualizeDefaults
-
Axis colour default
- AXIS_COLOUR_KEY - Static variable in class weka.gui.visualize.VisualizeUtils.VisualizeDefaults
-
Axis colour key
B
- B_ENTROPY - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
- B_SPHERE - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
-
Blend setting modes
- BACKGROUND_COLOR - Static variable in class weka.gui.visualize.VisualizeUtils.VisualizeDefaults
-
Scatter plot background colour default
- BACKGROUND_COLOUR_KEY - Static variable in class weka.gui.visualize.VisualizeUtils.VisualizeDefaults
-
Scatter plot background colour key
- BackgroundDesktopPane(String) - Constructor for class weka.gui.Main.BackgroundDesktopPane
-
intializes the desktop pane.
- backQuoteChars(String) - Static method in class weka.core.Utils
-
Converts carriage returns and new lines in a string into \r and \n.
- BACKUP_EXTENSION - Static variable in class weka.gui.scripting.Script
-
the backup extension.
- Bagging - Class in weka.classifiers.meta
-
Class for bagging a classifier to reduce variance.
- Bagging() - Constructor for class weka.classifiers.meta.Bagging
-
Constructor.
- bagSizePercentTipText() - Method in class weka.classifiers.meta.Bagging
-
Returns the tip text for this property
- balanceClassTipText() - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Returns the tip text for this property
- BallNode - Class in weka.core.neighboursearch.balltrees
-
Class representing a node of a BallTree.
- BallNode(int) - Constructor for class weka.core.neighboursearch.balltrees.BallNode
-
Constructor.
- BallNode(int, int, int) - Constructor for class weka.core.neighboursearch.balltrees.BallNode
-
Creates a new instance of BallNode.
- BallNode(int, int, int, Instance, double) - Constructor for class weka.core.neighboursearch.balltrees.BallNode
-
Creates a new instance of BallNode.
- BallSplitter - Class in weka.core.neighboursearch.balltrees
-
Abstract class for splitting a ball tree's BallNode.
- BallSplitter() - Constructor for class weka.core.neighboursearch.balltrees.BallSplitter
-
default constructor.
- BallSplitter(int[], Instances, EuclideanDistance) - Constructor for class weka.core.neighboursearch.balltrees.BallSplitter
-
Creates a new instance of BallSplitter.
- ballSplitterTipText() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
-
Returns the tip text for this property.
- BallTree - Class in weka.core.neighboursearch
-
Class implementing the BallTree/Metric Tree algorithm for nearest neighbour search.
The connection to dataset is only a reference. - BallTree() - Constructor for class weka.core.neighboursearch.BallTree
-
Creates a new instance of BallTree.
- BallTree(Instances) - Constructor for class weka.core.neighboursearch.BallTree
-
Creates a new instance of BallTree.
- BallTreeConstructor - Class in weka.core.neighboursearch.balltrees
-
Abstract class for constructing a BallTree .
- BallTreeConstructor() - Constructor for class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Creates a new instance of BallTreeConstructor.
- ballTreeConstructorTipText() - Method in class weka.core.neighboursearch.BallTree
-
Returns the tip text for this property.
- BAR_BACKGROUND_COLOUR - Static variable in class weka.gui.visualize.VisualizeUtils.VisualizeDefaults
-
Attribute bar background colour key
- BAR_BACKGROUND_COLOUR_KEY - Static variable in class weka.gui.visualize.VisualizeUtils.VisualizeDefaults
-
Attribute bar background colour key
- BASE_ICON_PATH - Static variable in class weka.gui.knowledgeflow.KFGUIConsts
-
Base path for step icons
- BASE_ICON_PATH - Static variable in class weka.gui.knowledgeflow.StepVisual
-
Standard base path for Step icons
- baseClassifiersImplementMoreEfficientBatchPrediction() - Method in class weka.classifiers.meta.Stacking
-
Returns true if any of the base classifiers are able to generate batch predictions efficiently and all of them implement BatchPredictor.
- BaseCumHazardTables - Class in weka.core.pmml.jaxbbindings
-
Java class for BaseCumHazardTables element declaration.
- BaseCumHazardTables() - Constructor for class weka.core.pmml.jaxbbindings.BaseCumHazardTables
- BaseExecutionEnvironment - Class in weka.knowledgeflow
-
Base class for execution environments
- BaseExecutionEnvironment() - Constructor for class weka.knowledgeflow.BaseExecutionEnvironment
- BaseExecutionEnvironment.BaseExecutionEnvironmentDefaults - Class in weka.knowledgeflow
-
Defaults for the base execution environment
- BaseExecutionEnvironmentDefaults() - Constructor for class weka.knowledgeflow.BaseExecutionEnvironment.BaseExecutionEnvironmentDefaults
- BaseInteractiveViewer - Class in weka.gui.knowledgeflow
-
Base class than clients can extend when implementing
StepInteractiveViewer
. - BaseInteractiveViewer() - Constructor for class weka.gui.knowledgeflow.BaseInteractiveViewer
-
Constructor
- Baseline - Class in weka.core.pmml.jaxbbindings
-
Java class for Baseline element declaration.
- Baseline() - Constructor for class weka.core.pmml.jaxbbindings.Baseline
- BaselineCell - Class in weka.core.pmml.jaxbbindings
-
Java class for BaselineCell element declaration.
- BaselineCell() - Constructor for class weka.core.pmml.jaxbbindings.BaselineCell
- BaselineModel - Class in weka.core.pmml.jaxbbindings
-
Java class for BaselineModel element declaration.
- BaselineModel() - Constructor for class weka.core.pmml.jaxbbindings.BaselineModel
- BaselineStratum - Class in weka.core.pmml.jaxbbindings
-
Java class for BaselineStratum element declaration.
- BaselineStratum() - Constructor for class weka.core.pmml.jaxbbindings.BaselineStratum
- BASELINETESTSTATISTIC - Enum Class in weka.core.pmml.jaxbbindings
-
Java class for BASELINE-TEST-STATISTIC.
- BaseSimpleDataVisualizer - Class in weka.knowledgeflow.steps
-
Abstract base class for simple data visualization steps that just collect data sets for visualization.
- BaseSimpleDataVisualizer() - Constructor for class weka.knowledgeflow.steps.BaseSimpleDataVisualizer
- BaseStep - Class in weka.knowledgeflow.steps
-
Base class for implementations of Step to use.
- BaseStep() - Constructor for class weka.knowledgeflow.steps.BaseStep
-
Constructor
- BaseStepExtender - Interface in weka.knowledgeflow.steps
-
A minimal set of methods, duplicated from the Step interface, that a simple subclass of BaseStep would need to implement in order to function as a start and/or main processing step in the Knowledge Flow.
- baseTipText() - Method in class weka.core.neighboursearch.CoverTree
-
Returns the tip text for this property.
- BASIC - Enum constant in enum class weka.knowledgeflow.LoggingLevel
- BasicAction(String, String, String, Character) - Constructor for class weka.gui.scripting.FileScriptingPanel.BasicAction
-
Constructor for setting up an action.
- BATCH - Static variable in interface weka.core.converters.Loader
- BATCH - Static variable in interface weka.core.converters.Saver
- BATCH_FINISHED - Static variable in class weka.gui.beans.IncrementalClassifierEvent
- BATCH_FINISHED - Static variable in class weka.gui.beans.InstanceEvent
- BATCH_FINISHED - Static variable in class weka.gui.streams.InstanceEvent
-
Specifies that the batch of instances is finished
- BATCH_SIZE_DEFAULT - Static variable in class weka.classifiers.AbstractClassifier
-
Default preferred batch size for batch predictions
- BatchAssociationRulesEvent - Class in weka.gui.beans
-
Class encapsulating a set of association rules.
- BatchAssociationRulesEvent(Object, AssociationRules) - Constructor for class weka.gui.beans.BatchAssociationRulesEvent
-
Creates a new
BatchAssociationRulesEvent
instance. - BatchAssociationRulesListener - Interface in weka.gui.beans
-
Interface to something that can process a BatchAssociationRulesEvent.
- BatchClassifierEvent - Class in weka.gui.beans
-
Class encapsulating a built classifier and a batch of instances to test on.
- BatchClassifierEvent(Object, Classifier, DataSetEvent, DataSetEvent, int, int) - Constructor for class weka.gui.beans.BatchClassifierEvent
-
Creates a new
BatchClassifierEvent
instance. - BatchClassifierEvent(Object, Classifier, DataSetEvent, DataSetEvent, int, int, int, int) - Constructor for class weka.gui.beans.BatchClassifierEvent
-
Creates a new
BatchClassifierEvent
instance. - BatchClassifierListener - Interface in weka.gui.beans
-
Interface to something that can process a BatchClassifierEvent
- BatchClustererEvent - Class in weka.gui.beans
-
Class encapsulating a built clusterer and a batch of instances to test on.
- BatchClustererEvent(Object, Clusterer, DataSetEvent, int, int, int) - Constructor for class weka.gui.beans.BatchClustererEvent
-
Creates a new
BatchClustererEvent
instance. - BatchClustererListener - Interface in weka.gui.beans
-
Interface to something that can process a BatchClustererEvent
- BatchConverter - Interface in weka.core.converters
-
Marker interface for a loader/saver that can retrieve instances in batch mode
- batchFilterFile(Filter, String[]) - Static method in class weka.filters.Filter
-
Method for testing filters ability to process multiple batches.
- batchFinished() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
- batchFinished() - Method in class weka.classifiers.functions.SGDText
- batchFinished() - Method in interface weka.classifiers.UpdateableBatchProcessor
-
Signal that the training data is finished (for now).
- batchFinished() - Method in class weka.filters.Filter
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.MultiFilter
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.SimpleBatchFilter
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.SimpleStreamFilter
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.supervised.attribute.AttributeSelection
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.supervised.attribute.ClassOrder
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.supervised.attribute.Discretize
-
Signifies that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.supervised.attribute.NominalToBinary
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.supervised.attribute.PartitionMembership
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.supervised.instance.Resample
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
-
Signifies that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.AddID
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.Center
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Signifies that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.MathExpression
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.NominalToString
-
Signifies that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.Normalize
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.RemoveType
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.Standardize
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.StringToNominal
-
Signifies that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.instance.Randomize
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Signifies that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.instance.RemovePercentage
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.instance.RemoveRange
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.instance.Resample
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.filters.unsupervised.instance.ReservoirSample
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.gui.streams.InstanceJoiner
-
Signify that this batch of input to the filter is finished.
- batchFinished() - Method in class weka.gui.streams.InstanceSavePanel
- batchFinished() - Method in class weka.gui.streams.InstanceTable
- batchFinished() - Method in class weka.gui.streams.InstanceViewer
- BatchPredictor - Interface in weka.core
-
Interface to something that can produce predictions in a batch manner when presented with a set of Instances.
- batchSizeTipText() - Method in class weka.classifiers.AbstractClassifier
-
Returns the tip text for this property
- batchSizeTipText() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Tool tip text for this property
- batchSizeTipText() - Method in class weka.classifiers.meta.Bagging
-
Tool tip text for this property
- batchSizeTipText() - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Tool tip text for this property
- batchSizeTipText() - Method in class weka.classifiers.meta.FilteredClassifier
-
Tool tip text for this property
- batchSizeTipText() - Method in class weka.classifiers.meta.RandomCommittee
-
Tool tip text for this property
- batchSizeTipText() - Method in class weka.classifiers.meta.RandomSubSpace
-
Tool tip text for this property
- BAYES - Static variable in interface weka.classifiers.bayes.net.search.local.Scoreable
-
score types
- BayesInput - Class in weka.core.pmml.jaxbbindings
-
Java class for BayesInput element declaration.
- BayesInput() - Constructor for class weka.core.pmml.jaxbbindings.BayesInput
- BayesInputs - Class in weka.core.pmml.jaxbbindings
-
Java class for BayesInputs element declaration.
- BayesInputs() - Constructor for class weka.core.pmml.jaxbbindings.BayesInputs
- BayesNet - Class in weka.classifiers.bayes
-
Bayes Network learning using various search algorithms and quality measures.
Base class for a Bayes Network classifier. - BayesNet - Class in weka.datagenerators.classifiers.classification
-
Generates random instances based on a Bayes network.
- BayesNet - Static variable in interface weka.core.Drawable
- BayesNet() - Constructor for class weka.classifiers.bayes.BayesNet
- BayesNet() - Constructor for class weka.datagenerators.classifiers.classification.BayesNet
-
initializes the generator
- BayesNetEstimator - Class in weka.classifiers.bayes.net.estimate
-
BayesNetEstimator is the base class for estimating the conditional probability tables of a Bayes network once the structure has been learned.
- BayesNetEstimator() - Constructor for class weka.classifiers.bayes.net.estimate.BayesNetEstimator
- BayesNetGenerator - Class in weka.classifiers.bayes.net
-
Bayes Network learning using various search algorithms and quality measures.
Base class for a Bayes Network classifier. - BayesNetGenerator() - Constructor for class weka.classifiers.bayes.net.BayesNetGenerator
-
Constructor for BayesNetGenerator.
- BayesOutput - Class in weka.core.pmml.jaxbbindings
-
Java class for BayesOutput element declaration.
- BayesOutput() - Constructor for class weka.core.pmml.jaxbbindings.BayesOutput
- BDeu - Static variable in interface weka.classifiers.bayes.net.search.local.Scoreable
- BEAN_EXECUTING - Static variable in class weka.gui.beans.BeanInstance
- BeanCommon - Interface in weka.gui.beans
-
Interface specifying routines that all weka beans should implement in order to allow the bean environment to exercise some control over the bean and also to allow the bean to exercise some control over connections.
- BeanConnection - Class in weka.gui.beans
-
Class for encapsulating a connection between two beans.
- BeanConnection(BeanInstance, BeanInstance, EventSetDescriptor, Integer...) - Constructor for class weka.gui.beans.BeanConnection
-
Creates a new
BeanConnection
instance. - BeanCustomizer - Interface in weka.gui.beans
-
Extends java.beans.Customizer and provides a method to register a listener interested in notification about whether the customizer has modified the object that it is customizing.
- BeanCustomizer.ModifyListener - Interface in weka.gui.beans
-
Interface for something that is interested in the modified status of a source object (typically a BeanCustomizer that is editing an object)
- BeanInstance - Class in weka.gui.beans
-
Class that manages a set of beans.
- BeanInstance(JComponent, Object, int, int, Integer...) - Constructor for class weka.gui.beans.BeanInstance
-
Creates a new
BeanInstance
instance. - BeanInstance(JComponent, String, int, int, Integer...) - Constructor for class weka.gui.beans.BeanInstance
-
Creates a new
BeanInstance
instance given the fully qualified name of the bean - BeansProperties - Class in weka.gui.beans
-
Utility class encapsulating various properties for the KnowledgeFlow and providing methods to register and deregister plugin Bean components
- BeansProperties() - Constructor for class weka.gui.beans.BeansProperties
- BeanVisual - Class in weka.gui.beans
-
BeanVisual encapsulates icons and label for a given bean.
- BeanVisual(String, String, String) - Constructor for class weka.gui.beans.BeanVisual
-
Constructor
- BestFirst - Class in weka.attributeSelection
-
BestFirst:
Searches the space of attribute subsets by greedy hillclimbing augmented with a backtracking facility. - BestFirst() - Constructor for class weka.attributeSelection.BestFirst
-
Constructor
- BestFirst.Link2 - Class in weka.attributeSelection
-
Class for a node in a linked list.
- BestFirst.LinkedList2 - Class in weka.attributeSelection
-
Class for handling a linked list.
- bestSplit(SplitMetric, Map<String, WeightMass>, String) - Method in class weka.classifiers.trees.ht.ConditionalSufficientStats
-
Return the best split
- bestSplit(SplitMetric, Map<String, WeightMass>, String) - Method in class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
- bestSplit(SplitMetric, Map<String, WeightMass>, String) - Method in class weka.classifiers.trees.ht.NominalConditionalSufficientStats
- bias() - Method in class weka.classifiers.functions.SGDText
- bias() - Method in class weka.classifiers.functions.SMO
-
Returns the bias of each binary SMO.
- biasToUniformClassTipText() - Method in class weka.filters.supervised.instance.Resample
-
Returns the tip text for this property.
- BIBTEX_ENDTAG - Static variable in class weka.core.TechnicalInformationHandlerJavadoc
-
the end comment tag for inserting the generated BibTex
- BIBTEX_STARTTAG - Static variable in class weka.core.TechnicalInformationHandlerJavadoc
-
the start comment tag for inserting the generated BibTex
- BIFFileTipText() - Method in class weka.classifiers.bayes.BayesNet
- BIFFormatException - Exception in weka.gui.graphvisualizer
-
This is the Exception thrown by BIFParser, if there was an error in parsing the XMLBIF string or input stream.
- BIFFormatException(String) - Constructor for exception weka.gui.graphvisualizer.BIFFormatException
- BIFParser - Class in weka.gui.graphvisualizer
-
This class parses an inputstream or a string in XMLBIF ver.
- BIFParser(InputStream, ArrayList<GraphNode>, ArrayList<GraphEdge>) - Constructor for class weka.gui.graphvisualizer.BIFParser
-
Constructor (if our input is an InputStream)
- BIFParser(String, ArrayList<GraphNode>, ArrayList<GraphEdge>) - Constructor for class weka.gui.graphvisualizer.BIFParser
-
Constructor (if our input is a String)
- BIFReader - Class in weka.classifiers.bayes.net
-
Builds a description of a Bayes Net classifier stored in XML BIF 0.3 format.
For more details on XML BIF see:
Fabio Cozman, Marek Druzdzel, Daniel Garcia (1998). - BIFReader() - Constructor for class weka.classifiers.bayes.net.BIFReader
-
the default constructor
- binarizeNumericAttributesTipText() - Method in class weka.attributeSelection.InfoGainAttributeEval
-
Returns the tip text for this property
- BINARY - Static variable in class weka.gui.beans.SerializedModelSaver
- BINARY_ATTRIBUTES - Enum constant in enum class weka.core.Capabilities.Capability
-
can handle binary attributes
- BINARY_CLASS - Enum constant in enum class weka.core.Capabilities.Capability
-
can handle binary classes
- binaryAttributesNominalTipText() - Method in class weka.filters.supervised.attribute.NominalToBinary
-
Returns the tip text for this property
- binaryAttributesNominalTipText() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Returns the tip text for this property
- BinaryItem - Class in weka.associations
-
Class that encapsulates an item whose backing Attribute is binary or unary.
- BinaryItem(Attribute, int) - Constructor for class weka.associations.BinaryItem
-
Constructor.
- BinarySimilarity - Class in weka.core.pmml.jaxbbindings
-
Java class for binarySimilarity element declaration.
- BinarySimilarity() - Constructor for class weka.core.pmml.jaxbbindings.BinarySimilarity
- BinarySMO() - Constructor for class weka.classifiers.functions.SMO.BinarySMO
- BinarySparseInstance - Class in weka.core
-
Class for storing a binary-data-only instance as a sparse vector.
- BinarySparseInstance(double, double[]) - Constructor for class weka.core.BinarySparseInstance
-
Constructor that generates a sparse instance from the given parameters.
- BinarySparseInstance(double, int[], int) - Constructor for class weka.core.BinarySparseInstance
-
Constructor that inititalizes instance variable with given values.
- BinarySparseInstance(int) - Constructor for class weka.core.BinarySparseInstance
-
Constructor of an instance that sets weight to one, all values to 1, and the reference to the dataset to null.
- BinarySparseInstance(Instance) - Constructor for class weka.core.BinarySparseInstance
-
Constructor that generates a sparse instance from the given instance.
- BinarySparseInstance(SparseInstance) - Constructor for class weka.core.BinarySparseInstance
-
Constructor that copies the info from the given instance.
- binarySplitsTipText() - Method in class weka.classifiers.rules.PART
-
Returns the tip text for this property
- binarySplitsTipText() - Method in class weka.classifiers.trees.J48
-
Returns the tip text for this property
- binaryToKOML(String, String) - Static method in class weka.core.xml.SerialUIDChanger
-
converts a binary file into a KOML XML file
- BinC45ModelSelection - Class in weka.classifiers.trees.j48
-
Class for selecting a C4.5-like binary (!) split for a given dataset.
- BinC45ModelSelection(int, Instances, boolean, boolean) - Constructor for class weka.classifiers.trees.j48.BinC45ModelSelection
-
Initializes the split selection method with the given parameters.
- BinC45Split - Class in weka.classifiers.trees.j48
-
Class implementing a binary C4.5-like split on an attribute.
- BinC45Split(int, int, double, boolean) - Constructor for class weka.classifiers.trees.j48.BinC45Split
-
Initializes the split model.
- binomialStandardError(double, int) - Static method in class weka.core.Statistics
-
Computes standard error for observed values of a binomial random variable.
- binRangePrecisionTipText() - Method in class weka.filters.supervised.attribute.Discretize
-
Returns the tip text for this property
- binRangePrecisionTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Returns the tip text for this property
- binsTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Returns the tip text for this property
- binsTipText() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
-
Returns the tip text for this property
- BIRCHCluster - Class in weka.datagenerators.clusterers
-
Cluster data generator designed for the BIRCH System
Dataset is generated with instances in K clusters.
Instances are 2-d data points.
Each cluster is characterized by the number of data points in itits radius and its center. - BIRCHCluster() - Constructor for class weka.datagenerators.clusterers.BIRCHCluster
-
initializes the generator with default values
- BIRD_IMAGE1 - Static variable in class weka.core.RepositoryIndexGenerator
- BIRD_IMAGE2 - Static variable in class weka.core.RepositoryIndexGenerator
- Block - Class in weka.knowledgeflow.steps
-
A step that waits for a specified step to finish processing before allowing incoming data to proceed downstream.
- Block() - Constructor for class weka.knowledgeflow.steps.Block
- blocker(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
A function used to stop the code that called buildclassifier from continuing on before the user has finished the decision tree.
- BlockStepEditorDialog - Class in weka.gui.knowledgeflow.steps
-
Step editor dialog for the Block step
- BlockStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.BlockStepEditorDialog
- BMAEstimator - Class in weka.classifiers.bayes.net.estimate
-
BMAEstimator estimates conditional probability tables of a Bayes network using Bayes Model Averaging (BMA).
- BMAEstimator() - Constructor for class weka.classifiers.bayes.net.estimate.BMAEstimator
- BMPWriter - Class in weka.gui.visualize
-
This class takes any JComponent and outputs it to a BMP-file.
- BMPWriter() - Constructor for class weka.gui.visualize.BMPWriter
-
initializes the object.
- BMPWriter(JComponent) - Constructor for class weka.gui.visualize.BMPWriter
-
initializes the object with the given Component.
- BMPWriter(JComponent, File) - Constructor for class weka.gui.visualize.BMPWriter
-
initializes the object with the given Component and filename.
- BOOK - Enum constant in enum class weka.core.TechnicalInformation.Type
-
A book with an explicit publisher.
- BOOKLET - Enum constant in enum class weka.core.TechnicalInformation.Type
-
A work that is printed and bound, but without a named publisher or sponsoring institution.
- BOOKTITLE - Enum constant in enum class weka.core.TechnicalInformation.Field
-
Title of a book, part of which is being cited.
- BOOL - Static variable in class weka.experiment.DatabaseUtils
-
Type mapping for BOOL used for reading experiment results.
- BOOLEAN - Enum constant in enum class weka.core.pmml.jaxbbindings.DATATYPE
- BOOLEAN - Static variable in interface weka.core.expressionlanguage.parser.sym
- BOOLEAN - Static variable in interface weka.core.json.sym
- booleanColsTipText() - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
Returns the tip text for this property
- BooleanConstant(boolean) - Constructor for class weka.core.expressionlanguage.common.Primitives.BooleanConstant
- BooleanVariable(String) - Constructor for class weka.core.expressionlanguage.common.Primitives.BooleanVariable
- BottomUpConstructor - Class in weka.core.neighboursearch.balltrees
-
The class that constructs a ball tree bottom up.
- BottomUpConstructor() - Constructor for class weka.core.neighboursearch.balltrees.BottomUpConstructor
-
Creates a new instance of BottomUpConstructor.
- BoundaryPanel - Class in weka.gui.boundaryvisualizer
-
BoundaryPanel.
- BoundaryPanel(int, int) - Constructor for class weka.gui.boundaryvisualizer.BoundaryPanel
-
Creates a new
BoundaryPanel
instance. - BoundaryPanelDistributed - Class in weka.gui.boundaryvisualizer
-
This class extends BoundaryPanel with code for distributing the processing necessary to create a visualization among a list of remote machines.
- BoundaryPanelDistributed(int, int) - Constructor for class weka.gui.boundaryvisualizer.BoundaryPanelDistributed
-
Creates a new
BoundaryPanelDistributed
instance. - BoundaryPlotter - Class in weka.knowledgeflow.steps
-
A step that computes visualization data for class/cluster decision boundaries.
- BoundaryPlotter() - Constructor for class weka.knowledgeflow.steps.BoundaryPlotter
-
Constructor
- BoundaryPlotter.RenderingUpdateListener - Interface in weka.knowledgeflow.steps
-
Interface for something that wants to be informed of rendering progress updates
- BoundaryPlotterInteractiveView - Class in weka.gui.knowledgeflow.steps
-
Interactive viewer component for the boundary plotter step
- BoundaryPlotterInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.BoundaryPlotterInteractiveView
- BoundaryPlotterStepEditorDialog - Class in weka.gui.knowledgeflow.steps
-
Editor dialog for the boundary plotter step
- BoundaryPlotterStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.BoundaryPlotterStepEditorDialog
- BoundaryValueMeans - Class in weka.core.pmml.jaxbbindings
-
Java class for BoundaryValueMeans element declaration.
- BoundaryValueMeans() - Constructor for class weka.core.pmml.jaxbbindings.BoundaryValueMeans
- BoundaryValues - Class in weka.core.pmml.jaxbbindings
-
Java class for BoundaryValues element declaration.
- BoundaryValues() - Constructor for class weka.core.pmml.jaxbbindings.BoundaryValues
- BoundaryVisualizer - Class in weka.gui.boundaryvisualizer
-
BoundaryVisualizer.
- BoundaryVisualizer() - Constructor for class weka.gui.boundaryvisualizer.BoundaryVisualizer
-
Creates a new
BoundaryVisualizer
instance. - BracketNode() - Constructor for class weka.knowledgeflow.steps.FlowByExpression.BracketNode
- branchForInstance(Instance) - Method in class weka.classifiers.trees.ht.Split
-
Returns the name of the branch that the supplied instance would go down
- branchForInstance(Instance) - Method in class weka.classifiers.trees.ht.SplitNode
-
Return the branch that the supplied instance goes down
- branchForInstance(Instance) - Method in class weka.classifiers.trees.ht.UnivariateNominalMultiwaySplit
- branchForInstance(Instance) - Method in class weka.classifiers.trees.ht.UnivariateNumericBinarySplit
- breakTiesRandomlyTipText() - Method in class weka.classifiers.trees.RandomForest
-
Returns the tip text for this property
- breakTiesRandomlyTipText() - Method in class weka.classifiers.trees.RandomTree
-
Returns the tip text for this property
- breakUp(String, int) - Static method in class weka.core.Utils
-
Breaks up the string, if wider than "columns" characters.
- BrowserHelper - Class in weka.gui
-
A little helper class for browser related stuff.
- BrowserHelper() - Constructor for class weka.gui.BrowserHelper
- bufferedImageMapToSerializableByteMap(Map<String, BufferedImage>) - Static method in class weka.knowledgeflow.steps.ImageViewer
-
Utility method to convert a map of
BufferedImage
to a map of byte arrays (that hold each image as png bytes) - bufferSizeTipText() - Method in class weka.core.converters.CSVLoader
-
Returns the tip text for this property.
- build(String, String) - Method in class weka.gui.HierarchyPropertyParser
-
Build a tree from the given property with the given delimitor
- buildAssociations(Instances) - Method in class weka.associations.Apriori
-
Method that generates all large itemsets with a minimum support, and from these all association rules with a minimum confidence.
- buildAssociations(Instances) - Method in interface weka.associations.Associator
-
Generates an associator.
- buildAssociations(Instances) - Method in class weka.associations.FilteredAssociator
-
Build the associator on the filtered data.
- buildAssociations(Instances) - Method in class weka.associations.FPGrowth
-
Method that generates all large item sets with a minimum support, and from these all association rules with a minimum metric (i.e.
- buildCalibrationModelsTipText() - Method in class weka.classifiers.functions.SMO
-
Returns the tip text for this property
- buildClassifier(Instances) - Method in class weka.classifiers.bayes.BayesNet
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.bayes.NaiveBayes
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
-
Generates the classifier.
- buildClassifier(Instances) - Method in interface weka.classifiers.Classifier
-
Generates a classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.functions.GaussianProcesses
-
Method for building the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.functions.LinearRegression
-
Builds a regression model for the given data.
- buildClassifier(Instances) - Method in class weka.classifiers.functions.Logistic
-
Builds the classifier
- buildClassifier(Instances) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
Call this function to build and train a neural network for the training data provided.
- buildClassifier(Instances) - Method in class weka.classifiers.functions.SGD
-
Method for building the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.functions.SGDText
-
Method for building the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.functions.SimpleLinearRegression
-
Builds a simple linear regression model given the supplied training data.
- buildClassifier(Instances) - Method in class weka.classifiers.functions.SimpleLogistic
-
Builds the logistic regression using LogitBoost.
- buildClassifier(Instances) - Method in class weka.classifiers.functions.SMO
-
Method for building the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.functions.SMOreg
-
Method for building the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
-
learn SVM parameters from data.
- buildClassifier(Instances) - Method in class weka.classifiers.functions.supportVector.RegSMO
-
learn SVM parameters from data using Smola's SMO algorithm.
- buildClassifier(Instances) - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
-
learn SVM parameters from data using Keerthi's SMO algorithm.
- buildClassifier(Instances) - Method in class weka.classifiers.functions.VotedPerceptron
-
Builds the ensemble of perceptrons.
- buildClassifier(Instances) - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
-
Stump method for building the classifiers.
- buildClassifier(Instances) - Method in class weka.classifiers.lazy.IBk
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.lazy.KStar
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.lazy.LWL
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.AdaBoostM1
-
Method used to build the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.AdditiveRegression
-
Method used to build the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Build the classifier on the dimensionally reduced data.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.Bagging
-
Bagging method.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.ClassificationViaRegression
-
Builds the classifiers.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Builds the model of the base learner.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.CVParameterSelection
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.FilteredClassifier
-
Build the classifier on the filtered data.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Builds the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.LogitBoost
-
Method used to build the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.MultiClassClassifier
-
Builds the classifiers.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.MultiClassClassifierUpdateable
- buildClassifier(Instances) - Method in class weka.classifiers.meta.MultiScheme
-
Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.RandomCommittee
-
Builds the committee of randomizable classifiers.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
-
Build the classifier on the filtered data.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.RandomSubSpace
-
builds the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.Stacking
-
Builds a classifier using stacking.
- buildClassifier(Instances) - Method in class weka.classifiers.meta.Vote
-
Builds all classifiers in the ensemble
- buildClassifier(Instances) - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
-
builds the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.misc.InputMappedClassifier
-
Build the classifier
- buildClassifier(Instances) - Method in class weka.classifiers.misc.SerializedClassifier
-
loads only the serialized classifier
- buildClassifier(Instances) - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
-
Stump method for building the classifiers
- buildClassifier(Instances) - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
-
Stump method for building the classifiers
- buildClassifier(Instances) - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
-
Throw an exception - PMML models are pre-built.
- buildClassifier(Instances) - Method in class weka.classifiers.rules.DecisionTable
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.rules.JRip
-
Builds Ripper in the order of class frequencies.
- buildClassifier(Instances) - Method in class weka.classifiers.rules.OneR
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.rules.PART
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.rules.part.MakeDecList
-
Builds dec list.
- buildClassifier(Instances) - Method in class weka.classifiers.rules.ZeroR
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.DecisionStump
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.HoeffdingTree
-
Builds the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.BinC45Split
-
Creates a C4.5-type split on the given data.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.J48
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree
-
Method for building a pruneable classifier tree.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.C45Split
-
Creates a C4.5-type split on the given data.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
-
Builds the classifier split model for the given set of instances.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.ClassifierTree
-
Method for building a classifier tree.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
-
Method for building a naive bayes classifier tree
- buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
-
Build the no-split node
- buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.NBTreeSplit
-
Creates a NBTree-type split on the given data.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.NoSplit
-
Creates a "no-split"-split for a given set of instances.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.PruneableClassifierTree
-
Method for building a pruneable classifier tree.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.LMT
-
Builds the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.lmt.LMTNode
-
Method for building a logistic model tree (only called for the root node).
- buildClassifier(Instances) - Method in class weka.classifiers.trees.lmt.LogisticBase
-
Builds the logistic regression model usiing LogitBoost.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.lmt.ResidualSplit
-
Method not in use
- buildClassifier(Instances) - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
-
Builds a simple linear regression model given the supplied training data.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.m5.M5Base
-
Generates the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
-
Builds the classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.m5.Rule
-
Generates a single rule or m5 model tree.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.m5.RuleNode
-
Build this node (find an attribute and split point)
- buildClassifier(Instances) - Method in class weka.classifiers.trees.RandomTree
-
Builds classifier.
- buildClassifier(Instances) - Method in class weka.classifiers.trees.REPTree
-
Builds classifier.
- buildClassifier(Instances, double[][], double[][]) - Method in class weka.classifiers.trees.lmt.ResidualSplit
-
Builds the split.
- buildClusterer(Instances) - Method in class weka.clusterers.AbstractClusterer
-
Generates a clusterer.
- buildClusterer(Instances) - Method in class weka.clusterers.Canopy
- buildClusterer(Instances) - Method in interface weka.clusterers.Clusterer
-
Generates a clusterer.
- buildClusterer(Instances) - Method in class weka.clusterers.Cobweb
-
Builds the clusterer.
- buildClusterer(Instances) - Method in class weka.clusterers.EM
-
Generates a clusterer.
- buildClusterer(Instances) - Method in class weka.clusterers.FarthestFirst
-
Generates a clusterer.
- buildClusterer(Instances) - Method in class weka.clusterers.FilteredClusterer
-
Build the clusterer on the filtered data.
- buildClusterer(Instances) - Method in class weka.clusterers.HierarchicalClusterer
- buildClusterer(Instances) - Method in class weka.clusterers.MakeDensityBasedClusterer
-
Builds a clusterer for a set of instances.
- buildClusterer(Instances) - Method in class weka.clusterers.SimpleKMeans
-
Generates a clusterer.
- buildDecList(Instances, boolean) - Method in class weka.classifiers.rules.part.C45PruneableDecList
-
Builds the partial tree without hold out set.
- buildDecList(Instances, boolean) - Method in class weka.classifiers.rules.part.ClassifierDecList
-
Builds the partial tree without hold out set.
- buildDecList(Instances, Instances, boolean) - Method in class weka.classifiers.rules.part.PruneableDecList
-
Builds the partial tree with hold out set
- buildEstimator(Estimator, String[], boolean) - Static method in class weka.estimators.Estimator
-
Build an estimator using the options.
- buildEstimator(Estimator, Instances, int, int, int, boolean) - Static method in class weka.estimators.Estimator
- buildEvaluator(Instances) - Method in class weka.attributeSelection.ASEvaluation
-
Generates a attribute evaluator.
- buildEvaluator(Instances) - Method in class weka.attributeSelection.CfsSubsetEval
-
Generates a attribute evaluator.
- buildEvaluator(Instances) - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Initializes a ClassifierAttribute attribute evaluator.
- buildEvaluator(Instances) - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Generates a attribute evaluator.
- buildEvaluator(Instances) - Method in class weka.attributeSelection.CorrelationAttributeEval
-
Initializes an information gain attribute evaluator.
- buildEvaluator(Instances) - Method in class weka.attributeSelection.GainRatioAttributeEval
-
Initializes a gain ratio attribute evaluator.
- buildEvaluator(Instances) - Method in class weka.attributeSelection.InfoGainAttributeEval
-
Initializes an information gain attribute evaluator.
- buildEvaluator(Instances) - Method in class weka.attributeSelection.OneRAttributeEval
-
Initializes a OneRAttribute attribute evaluator.
- buildEvaluator(Instances) - Method in class weka.attributeSelection.PrincipalComponents
-
Initializes principal components and performs the analysis
- buildEvaluator(Instances) - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Initializes a ReliefF attribute evaluator.
- buildEvaluator(Instances) - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
-
Initializes a symmetrical uncertainty attribute evaluator.
- buildEvaluator(Instances) - Method in class weka.attributeSelection.WrapperSubsetEval
-
Generates a attribute evaluator.
- buildGenerator(Instances) - Method in interface weka.gui.boundaryvisualizer.DataGenerator
-
Build the data generator
- buildGenerator(Instances) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
-
Initialize the generator using the supplied instances
- buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.CachedKernel
-
builds the kernel with the given data.
- buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.Kernel
-
builds the kernel with the given data
- buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
-
builds the kernel with the given data.
- buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.Puk
-
builds the kernel with the given data.
- buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.RBFKernel
-
Builds the kernel.
- buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.StringKernel
-
builds the kernel with the given data.
- buildModel(int, double[], double[]) - Method in class weka.estimators.UnivariateMixtureEstimator
-
Build mixture model.
- buildRegressionTreeTipText() - Method in class weka.classifiers.trees.m5.M5Base
-
Returns the tip text for this property
- buildRule(Instances) - Method in class weka.classifiers.rules.part.ClassifierDecList
-
Method for building a pruned partial tree.
- buildRule(Instances, Instances) - Method in class weka.classifiers.rules.part.PruneableDecList
-
Method for building a pruned partial tree.
- buildStructure() - Method in class weka.classifiers.bayes.BayesNet
-
buildStructure determines the network structure/graph of the network.
- buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
- buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.fixed.NaiveBayes
- buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.global.TAN
-
buildStructure determines the network structure/graph of the network using the maximimum weight spanning tree algorithm of Chow and Liu
- buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
-
buildStructure determines the network structure/graph of the network with the K2 algorithm, restricted by its initial structure (which can be an empty graph, or a Naive Bayes graph.
- buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.local.TAN
-
buildStructure determines the network structure/graph of the network using the maximimum weight spanning tree algorithm of Chow and Liu
- buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
-
buildStructure determines the network structure/graph of the network.
- buildTree() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Builds the ball tree.
- buildTree() - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
-
Builds the ball tree bottom up.
- buildTree() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Builds a ball tree middle out.
- buildTree() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
-
Builds the ball tree top down.
- buildTree(Instances, boolean) - Method in class weka.classifiers.trees.j48.ClassifierTree
-
Builds the tree structure.
- buildTree(Instances, SimpleLinearRegression[][], double, double, Instances) - Method in class weka.classifiers.trees.lmt.LMTNode
-
Method for building the tree structure.
- buildTree(Instances, Instances, boolean) - Method in class weka.classifiers.trees.j48.ClassifierTree
-
Builds the tree structure with hold out set
- BUILT_IN_EVAL_METRICS - Static variable in class weka.classifiers.Evaluation
- BUILT_IN_EVAL_METRICS - Static variable in class weka.classifiers.evaluation.Evaluation
- BuiltInArithmetic - Class in weka.core.pmml
-
Built-in function for +, -, *, /.
- BuiltInArithmetic(BuiltInArithmetic.Operator) - Constructor for class weka.core.pmml.BuiltInArithmetic
-
Construct a new Arithmetic built-in pmml function.
- BuiltInMath - Class in weka.core.pmml
-
Built-in function for min, max, sum, avg, log10, ln, sqrt, abs, exp, pow, threshold, floor, ceil and round.
- BuiltInMath(BuiltInMath.MathFunc) - Constructor for class weka.core.pmml.BuiltInMath
-
Construct a new built-in pmml Math function.
- BuiltInString - Class in weka.core.pmml
-
Built-in function for uppercase, substring and trimblanks.
- BVDecompose - Class in weka.classifiers
-
Class for performing a Bias-Variance decomposition on any classifier using the method specified in:
Ron Kohavi, David H. - BVDecompose() - Constructor for class weka.classifiers.BVDecompose
- BVDecomposeSegCVSub - Class in weka.classifiers
-
This class performs Bias-Variance decomposion on any classifier using the sub-sampled cross-validation procedure as specified in (1).
The Kohavi and Wolpert definition of bias and variance is specified in (2).
The Webb definition of bias and variance is specified in (3).
Geoffrey I. - BVDecomposeSegCVSub() - Constructor for class weka.classifiers.BVDecomposeSegCVSub
- BYTE - Static variable in class weka.experiment.DatabaseUtils
-
Type mapping for BYTE used for reading experiment results.
- byteArrayImageMapToBufferedImageMap(Map<String, byte[]>) - Static method in class weka.knowledgeflow.steps.ImageViewer
-
Utility method to convert a map of
byte[]
png image data to a map ofBufferedImage
C
- C45Loader - Class in weka.core.converters
-
Reads a file that is C45 format.
- C45Loader() - Constructor for class weka.core.converters.C45Loader
- C45ModelSelection - Class in weka.classifiers.trees.j48
-
Class for selecting a C4.5-type split for a given dataset.
- C45ModelSelection(int, Instances, boolean, boolean) - Constructor for class weka.classifiers.trees.j48.C45ModelSelection
-
Initializes the split selection method with the given parameters.
- C45PruneableClassifierTree - Class in weka.classifiers.trees.j48
-
Class for handling a tree structure that can be pruned using C4.5 procedures.
- C45PruneableClassifierTree(ModelSelection, boolean, float, boolean, boolean, boolean) - Constructor for class weka.classifiers.trees.j48.C45PruneableClassifierTree
-
Constructor for pruneable tree structure.
- C45PruneableDecList - Class in weka.classifiers.rules.part
-
Class for handling a partial tree structure pruned using C4.5's pruning heuristic.
- C45PruneableDecList(ModelSelection, double, int) - Constructor for class weka.classifiers.rules.part.C45PruneableDecList
-
Constructor for pruneable tree structure.
- C45Saver - Class in weka.core.converters
-
Writes to a destination that is in the format used by the C4.5 algorithm.
Therefore it outputs a names and a data file. - C45Saver() - Constructor for class weka.core.converters.C45Saver
-
Constructor
- C45Split - Class in weka.classifiers.trees.j48
-
Class implementing a C4.5-type split on an attribute.
- C45Split(int, int, double, boolean) - Constructor for class weka.classifiers.trees.j48.C45Split
-
Initializes the split model.
- CachedKernel - Class in weka.classifiers.functions.supportVector
-
Base class for RBFKernel and PolyKernel that implements a simple LRU.
- CachedKernel() - Constructor for class weka.classifiers.functions.supportVector.CachedKernel
-
default constructor - does nothing.
- cacheKeyNameTipText() - Method in class weka.experiment.DatabaseResultListener
-
Returns the tip text for this property
- cacheSizeTipText() - Method in class weka.classifiers.functions.supportVector.CachedKernel
-
Returns the tip text for this property
- cacheSizeTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Returns the tip text for this property
- CacheTable() - Constructor for class weka.classifiers.lazy.kstar.KStarCache.CacheTable
-
Constructs a new hashtable with a default capacity and load factor.
- CacheTable(int, float) - Constructor for class weka.classifiers.lazy.kstar.KStarCache.CacheTable
-
Constructs a new hashtable with a default capacity and load factor.
- calcCentroidPivot(int[], Instances) - Static method in class weka.core.neighboursearch.balltrees.BallNode
-
Calculates the centroid pivot of a node.
- calcCentroidPivot(int, int, int[], Instances) - Static method in class weka.core.neighboursearch.balltrees.BallNode
-
Calculates the centroid pivot of a node.
- calcColumnWidth(int) - Method in class weka.gui.JTableHelper
-
calcs the optimal column width of the given column
- calcColumnWidth(JTable, int) - Static method in class weka.gui.JTableHelper
-
Calculates the optimal width for the column of the given table.
- calcFullMargins(BayesNet) - Method in class weka.classifiers.bayes.net.MarginCalculator
- calcGraph(int, int) - Method in class weka.gui.AttributeVisualizationPanel
-
Recalculates the barplot or histogram to display, required usually when the attribute is changed or the component is resized.
- calcHeaderWidth(int) - Method in class weka.gui.JTableHelper
-
calcs the optimal header width of the given column
- calcHeaderWidth(JTable, int) - Static method in class weka.gui.JTableHelper
-
Calculates the optimal width for the header of the given table.
- calcMargins(BayesNet) - Method in class weka.classifiers.bayes.net.MarginCalculator
-
Calc marginal distributions of nodes in Bayesian network Note that a connected network is assumed.
- calcNodeScore(int) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
-
Calc Node Score for given parent set
- calcOutOfBagTipText() - Method in class weka.classifiers.meta.Bagging
-
Returns the tip text for this property
- calcPivot(BallNode, BallNode, Instances) - Static method in class weka.core.neighboursearch.balltrees.BallNode
-
Calculates the centroid pivot of a node based on its two child nodes (if merging two nodes).
- calcPivot(BottomUpConstructor.TempNode, BottomUpConstructor.TempNode, Instances) - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
-
Calculates the centroid pivot of a node based on its two child nodes.
- calcPivot(MiddleOutConstructor.MyIdxList, MiddleOutConstructor.MyIdxList, Instances) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Calculates the centroid pivot of a node based on the list of points that it contains (tbe two lists of its children are provided).
- calcPivot(MiddleOutConstructor.TempNode, MiddleOutConstructor.TempNode, Instances) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
/** Calculates the centroid pivot of a node based on its two child nodes (if merging two nodes).
- calcRadius(int[], Instances, Instance, DistanceFunction) - Static method in class weka.core.neighboursearch.balltrees.BallNode
-
Calculates the radius of node.
- calcRadius(int, int, int[], Instances, Instance, DistanceFunction) - Static method in class weka.core.neighboursearch.balltrees.BallNode
-
Calculates the radius of a node.
- calcRadius(BallNode, BallNode, Instance, DistanceFunction) - Static method in class weka.core.neighboursearch.balltrees.BallNode
-
Calculates the radius of a node based on its two child nodes (if merging two nodes).
- calcRadius(BottomUpConstructor.TempNode, BottomUpConstructor.TempNode) - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
-
Calculates the radius of a node based on its two child nodes.
- calcRadius(MiddleOutConstructor.MyIdxList, MiddleOutConstructor.MyIdxList, Instance, Instances) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Calculates the radius of a node based on the list of points that it contains (the two lists of its children are provided).
- calcRadius(MiddleOutConstructor.TempNode, MiddleOutConstructor.TempNode) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Calculates the radius of a node based on its two child nodes (if merging two nodes).
- calcScore(BayesNet) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
performCV returns the accuracy calculated using cross validation.
- calcScoreWithExtraParent(int, int) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
Calc Node Score With Added Parent
- calcScoreWithExtraParent(int, int) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
-
Calc Node Score With AddedParent
- calcScoreWithMissingParent(int, int) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
Calc Node Score With Parent Deleted
- calcScoreWithMissingParent(int, int) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
-
Calc Node Score With Parent Deleted
- calcScoreWithReversedParent(int, int) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
Calc Node Score With Arrow reversed
- calculateAdjRSquared(double, int, int) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
-
Returns the adjusted R-squared value for a linear regression model.
- calculateAlphas() - Method in class weka.classifiers.trees.lmt.LMTNode
-
Updates the alpha field for all nodes.
- calculateDerived() - Method in class weka.experiment.PairedStats
-
Calculates the derived statistics (significance etc).
- calculateDerived() - Method in class weka.experiment.PairedStatsCorrected
-
Calculates the derived statistics (significance etc).
- calculateDerived() - Method in class weka.experiment.Stats
-
Tells the object to calculate any statistics that don't have their values automatically updated during add.
- calculateFStat(double, int, int) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
-
Returns the F-statistic for a linear regression model.
- calculateRSquared(Instances, double) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
-
Returns the R-squared value for a linear regression model, where sum of squared residuals is already calculated.
- calculateSSR(Instances, Attribute, double, double) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
-
Returns the sum of squared residuals of the simple linear regression model: y = a + bx.
- calculateStatistics(Instance, int, int, int) - Method in class weka.experiment.PairedCorrectedTTester
-
Computes a paired t-test comparison for a specified dataset between two resultsets.
- calculateStatistics(Instance, int, int, int) - Method in class weka.experiment.PairedTTester
-
Computes a paired t-test comparison for a specified dataset between two resultsets.
- calculateStatistics(Instance, int, int, int) - Method in interface weka.experiment.Tester
-
Computes a paired t-test comparison for a specified dataset between two resultsets.
- calculateStdDevsTipText() - Method in class weka.experiment.AveragingResultProducer
-
Returns the tip text for this property
- calculateStdErrorOfCoef(Instances, boolean[], double, int, int) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
-
Returns an array of the standard errors of the coefficients in a multiple linear regression.
- calculateStdErrorOfCoef(Instances, Attribute, double, double, int) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
-
Returns the standard errors of slope and intercept for a simple linear regression model: y = a + bx.
- calculateTStats(double[], double[], int) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
-
Returns an array of the t-statistic of each coefficient in a multiple linear regression model.
- calibratorTipText() - Method in class weka.classifiers.functions.SMO
-
Returns the tip text for this property
- call() - Method in class weka.knowledgeflow.StepTask
-
Executor service calls this method to do the work
- CallbackNotifierDelegate - Interface in weka.knowledgeflow
-
Interface to something that can notify a Step that a Task submitted by ExecutionEnvironment.submitTask() has finished.
- canAcceptConnection(Class<?>) - Method in class weka.gui.beans.MetaBean
-
Checks to see if any of the inputs to this group implements the supplied listener class
- cancel() - Method in class weka.core.converters.AbstractFileSaver
-
Cancels the incremental saving process.
- cancel() - Method in class weka.core.converters.AbstractSaver
-
Cancels the incremental saving process if the write mode is CANCEL.
- cancel() - Method in class weka.core.converters.DatabaseSaver
-
Cancels the incremental saving process and tries to drop the table if the write mode is CANCEL.
- CANCEL_OPTION - Static variable in class weka.gui.experiment.OutputFormatDialog
-
Signifies a cancelled property selection.
- CANCEL_OPTION - Static variable in class weka.gui.ListSelectorDialog
-
Signifies a cancelled property selection
- CANCEL_OPTION - Static variable in class weka.gui.PropertySelectorDialog
-
Signifies a cancelled property selection
- CANCEL_OPTION - Static variable in class weka.gui.ViewerDialog
-
Signifies a cancelled property selection
- canMoveDown(JList) - Static method in class weka.gui.JListHelper
-
checks whether the selected items can be moved down
- canMoveUp(JList) - Static method in class weka.gui.JListHelper
-
checks whether the selected items can be moved up
- Canopy - Class in weka.clusterers
-
Cluster data using the capopy clustering algorithm, which requires just one pass over the data.
- Canopy() - Constructor for class weka.clusterers.Canopy
- CANOPY - Static variable in class weka.clusterers.SimpleKMeans
- canopyMaxNumCanopiesToHoldInMemoryTipText() - Method in class weka.clusterers.SimpleKMeans
-
Returns the tip text for this property.
- canopyMinimumCanopyDensityTipText() - Method in class weka.clusterers.SimpleKMeans
-
Returns the tip text for this property.
- canopyPeriodicPruningRateTipText() - Method in class weka.clusterers.SimpleKMeans
-
Returns the tip text for this property.
- canopyT1TipText() - Method in class weka.clusterers.SimpleKMeans
-
Tip text for this property
- canopyT2TipText() - Method in class weka.clusterers.SimpleKMeans
-
Tip text for this property
- canPlot(boolean) - Method in class weka.gui.explorer.AbstractPlotInstances
-
Returns whether all the data is available and the plot instances can be used for plotting.
- canProduceRules() - Method in class weka.associations.Apriori
-
Returns true if this AssociationRulesProducer can actually produce rules.
- canProduceRules() - Method in interface weka.associations.AssociationRulesProducer
-
Returns true if this AssociationRulesProducer can actually produce rules.
- canProduceRules() - Method in class weka.associations.FilteredAssociator
-
Returns true if this AssociationRulesProducer can actually produce rules.
- canProduceRules() - Method in class weka.associations.FPGrowth
-
Returns true if this AssociationRulesProducer can actually produce rules.
- canRedo() - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
return whether there is something on the undo stack that can be performed
- canUndo() - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
return whether there is something on the undo stack that can be performed
- canUndo() - Method in interface weka.core.Undoable
-
returns whether an undo is possible, i.e.
- canUndo() - Method in class weka.gui.arffviewer.ArffPanel
-
returns whether an undo is possible
- canUndo() - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
returns whether an undo is possible, i.e.
- canUndo() - Method in class weka.gui.arffviewer.ArffTableModel
-
returns whether an undo is possible, i.e.
- capabilities() - Method in class weka.core.Capabilities
-
Returns an Iterator over the stored capabilities
- Capabilities - Class in weka.core
-
A class that describes the capabilites (e.g., handling certain types of attributes, missing values, types of classes, etc.) of a specific classifier.
- Capabilities - Class in weka.gui.simplecli
-
Outputs the capabilities of the specified class.
- Capabilities() - Constructor for class weka.gui.simplecli.Capabilities
- Capabilities(CapabilitiesHandler) - Constructor for class weka.core.Capabilities
-
initializes the capabilities for the given owner
- Capabilities.Capability - Enum Class in weka.core
-
enumeration of all capabilities
- capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.AssociationsPanel
-
method gets called in case of a change event
- capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.AttributeSelectionPanel
-
method gets called in case of a change event
- capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.ClassifierPanel
-
method gets called in case of a change event.
- capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.ClustererPanel
-
method gets called in case of a change event
- capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in interface weka.gui.explorer.Explorer.CapabilitiesFilterChangeListener
-
method gets called in case of a change event
- capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.PreprocessPanel
-
method gets called in case of a change event
- CapabilitiesFilterChangeEvent(Object, Capabilities) - Constructor for class weka.gui.explorer.Explorer.CapabilitiesFilterChangeEvent
-
Constructs a GOECapabilitiesFilterChangeEvent object.
- CapabilitiesFilterDialog() - Constructor for class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
-
creates a dialog to choose Capabilities from.
- CapabilitiesHandler - Interface in weka.core
-
Classes implementing this interface return their capabilities in regards to datasets.
- CapabilitiesIgnorer - Interface in weka.core
-
Classes implementing this interface make it possible to turn off capabilities checking.
- CapabilitiesUtils - Class in weka.core
-
Helper class for Capabilities.
- CapabilitiesUtils() - Constructor for class weka.core.CapabilitiesUtils
- capacity() - Method in class weka.core.matrix.DoubleVector
-
Gets the capacity of the vector.
- capacity() - Method in class weka.core.matrix.IntVector
-
Returns the capacity of the vector
- cardinalityTipText() - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Returns the tip text for this property
- caretUpdate(CaretEvent) - Method in class weka.gui.LogWindow
-
Called when the caret position is updated.
- caretUpdate(CaretEvent) - Method in class weka.gui.sql.ConnectionPanel
-
Called when the caret position is updated.
- caretUpdate(CaretEvent) - Method in class weka.gui.sql.QueryPanel
-
Called when the caret position is updated.
- CartesianProduct - Class in weka.filters.unsupervised.attribute
-
A filter for performing the Cartesian product of a set of nominal attributes.
- CartesianProduct() - Constructor for class weka.filters.unsupervised.attribute.CartesianProduct
- carTipText() - Method in class weka.associations.Apriori
-
Returns the tip text for this property
- CARuleMiner - Interface in weka.associations
-
Interface for learning class association rules.
- CaseInsensitiveComparator() - Constructor for class weka.filters.unsupervised.attribute.SortLabels.CaseInsensitiveComparator
- CaseSensitiveComparator() - Constructor for class weka.filters.unsupervised.attribute.SortLabels.CaseSensitiveComparator
- cast(Object) - Static method in class weka.core.Utils
-
Casting an object without "unchecked" compile-time warnings.
- cat(DoubleVector) - Method in class weka.core.matrix.DoubleVector
-
Combine two vectors together
- CATEGORICAL - Enum constant in enum class weka.core.pmml.FieldMetaInfo.Optype
- CATEGORICAL - Enum constant in enum class weka.core.pmml.jaxbbindings.OPTYPE
- CategoricalPredictor - Class in weka.core.pmml.jaxbbindings
-
Java class for CategoricalPredictor element declaration.
- CategoricalPredictor() - Constructor for class weka.core.pmml.jaxbbindings.CategoricalPredictor
- Categories - Class in weka.core.pmml.jaxbbindings
-
Java class for Categories element declaration.
- Categories() - Constructor for class weka.core.pmml.jaxbbindings.Categories
- category() - Element in annotation interface weka.core.OptionMetadata
-
Optional category for the parameter.
- category() - Element in annotation interface weka.gui.beans.KFStep
-
The top-level folder in the JTree that this plugin bean should appear in
- category() - Element in annotation interface weka.knowledgeflow.steps.KFStep
-
The top-level folder in the JTree that this step should appear in
- Category - Class in weka.core.pmml.jaxbbindings
-
Java class for Category element declaration.
- Category() - Constructor for class weka.core.pmml.jaxbbindings.Category
- CATSCORINGMETHOD - Enum Class in weka.core.pmml.jaxbbindings
-
Java class for CAT-SCORING-METHOD.
- CAUCHIT - Enum constant in enum class weka.core.pmml.jaxbbindings.CUMULATIVELINKFUNCTION
- CAUCHIT - Enum constant in enum class weka.core.pmml.jaxbbindings.REGRESSIONNORMALIZATIONMETHOD
- Center - Class in weka.filters.unsupervised.attribute
-
Centers all numeric attributes in the given dataset to have zero mean (apart from the class attribute, if set).
- Center() - Constructor for class weka.filters.unsupervised.attribute.Center
- centerDataTipText() - Method in class weka.attributeSelection.PrincipalComponents
-
Returns the tip text for this property
- centerDataTipText() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Returns the tip text for this property
- centerHorizontal(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
center set of nodes half way between left and right most node in the list
- centerInstances(Instances, int[], double) - Method in class weka.core.neighboursearch.KDTree
-
Assigns instances to centers using KDTree.
- centerVertical(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
center set of nodes half way between top and bottom most node in the list
- CfsSubsetEval - Class in weka.attributeSelection
-
CfsSubsetEval :
Evaluates the worth of a subset of attributes by considering the individual predictive ability of each feature along with the degree of redundancy between them.
Subsets of features that are highly correlated with the class while having low intercorrelation are preferred.
For more information see:
M. - CfsSubsetEval() - Constructor for class weka.attributeSelection.CfsSubsetEval
-
Constructor
- ChangeDateFormat - Class in weka.filters.unsupervised.attribute
-
Changes the date format used by a date attribute.
- ChangeDateFormat() - Constructor for class weka.filters.unsupervised.attribute.ChangeDateFormat
- changeLength(double) - Method in class weka.core.AlgVector
-
Changes the length of a vector.
- changeUID(long, long, String, String) - Static method in class weka.core.xml.SerialUIDChanger
-
changes the oldUID into newUID from the given file (binary/KOML) into the other one (binary/KOML).
- CHAPTER - Enum constant in enum class weka.core.TechnicalInformation.Field
-
A chapter (or section or whatever) number.
- CharacterDelimitedTokenizer - Class in weka.core.tokenizers
-
Abstract superclass for tokenizers that take characters as delimiters.
- CharacterDelimitedTokenizer() - Constructor for class weka.core.tokenizers.CharacterDelimitedTokenizer
- Characteristic - Class in weka.core.pmml.jaxbbindings
-
Java class for Characteristic element declaration.
- Characteristic() - Constructor for class weka.core.pmml.jaxbbindings.Characteristic
- Characteristics - Class in weka.core.pmml.jaxbbindings
-
Java class for Characteristics element declaration.
- Characteristics() - Constructor for class weka.core.pmml.jaxbbindings.Characteristics
- CharacterNGramTokenizer - Class in weka.core.tokenizers
-
Splits a string into an n-gram with min and max grams.
- CharacterNGramTokenizer() - Constructor for class weka.core.tokenizers.CharacterNGramTokenizer
- charSetTipText() - Method in class weka.core.converters.TextDirectoryLoader
-
the tip text for this property
- ChartEvent - Class in weka.gui.beans
-
Event encapsulating info for plotting a data point on the StripChart
- ChartEvent(Object) - Constructor for class weka.gui.beans.ChartEvent
-
Creates a new
ChartEvent
instance. - ChartEvent(Object, Vector<String>, double, double, double[], boolean) - Constructor for class weka.gui.beans.ChartEvent
-
Creates a new
ChartEvent
instance. - chartingEvalWindowSizeTipText() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
-
Return a tip text string for this property
- chartingEvalWindowSizeTipText() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
-
Return a tip text string for this property
- ChartListener - Interface in weka.gui.beans
-
Interface to something that can process a ChartEvent
- Chebychev - Class in weka.core.pmml.jaxbbindings
-
Java class for chebychev element declaration.
- Chebychev() - Constructor for class weka.core.pmml.jaxbbindings.Chebychev
- ChebyshevDistance - Class in weka.core
-
Implements the Chebyshev distance.
- ChebyshevDistance() - Constructor for class weka.core.ChebyshevDistance
-
Constructs an Chebyshev Distance object, Instances must be still set.
- ChebyshevDistance(Instances) - Constructor for class weka.core.ChebyshevDistance
-
Constructs an Chebyshev Distance object and automatically initializes the ranges.
- check(double) - Method in class weka.classifiers.trees.j48.Distribution
-
Checks if at least two bags contain a minimum number of instances.
- Check - Class in weka.core
-
Abstract general class for testing in Weka.
- Check() - Constructor for class weka.core.Check
- CheckAssociator - Class in weka.associations
-
Class for examining the capabilities and finding problems with associators.
- CheckAssociator() - Constructor for class weka.associations.CheckAssociator
- CheckAttributeSelection - Class in weka.attributeSelection
-
Class for examining the capabilities and finding problems with attribute selection schemes.
- CheckAttributeSelection() - Constructor for class weka.attributeSelection.CheckAttributeSelection
- CheckBoxList - Class in weka.gui
-
An extended JList that contains CheckBoxes.
- CheckBoxList() - Constructor for class weka.gui.CheckBoxList
-
initializes the list with an empty CheckBoxListModel
- CheckBoxList(CheckBoxList.CheckBoxListModel) - Constructor for class weka.gui.CheckBoxList
-
initializes the list with the given CheckBoxListModel
- CheckBoxList.CheckBoxListModel - Class in weka.gui
-
A specialized model.
- CheckBoxList.CheckBoxListRenderer - Class in weka.gui
-
A specialized CellRenderer for the CheckBoxList
- CheckBoxListModel() - Constructor for class weka.gui.CheckBoxList.CheckBoxListModel
-
initializes the model with no data.
- CheckBoxListModel(Object[]) - Constructor for class weka.gui.CheckBoxList.CheckBoxListModel
-
Constructs a CheckBoxListModel from an array of objects and then applies setModel to it.
- CheckBoxListModel(Vector) - Constructor for class weka.gui.CheckBoxList.CheckBoxListModel
-
Constructs a CheckBoxListModel from a Vector and then applies setModel to it.
- CheckBoxListRenderer() - Constructor for class weka.gui.CheckBoxList.CheckBoxListRenderer
- checkCanonicalUserOptions() - Method in class weka.core.CheckOptionHandler
-
checks whether the user-supplied options stay the same after settting, getting and re-setting again
- CheckClassifier - Class in weka.classifiers
-
Class for examining the capabilities and finding problems with classifiers.
- CheckClassifier() - Constructor for class weka.classifiers.CheckClassifier
- CheckClusterer - Class in weka.clusterers
-
Class for examining the capabilities and finding problems with clusterers.
- CheckClusterer() - Constructor for class weka.clusterers.CheckClusterer
-
default constructor
- checkConstraint(Package) - Method in class weka.core.packageManagement.PackageConstraint
-
Check the target package against the constraint embodied in this PackageConstraint.
- checkConstraint(Package) - Method in class weka.core.packageManagement.VersionPackageConstraint
-
Check the target package against the constraint embodied in this PackageConstraint.
- checkConstraint(Package) - Method in class weka.core.packageManagement.VersionRangePackageConstraint
-
Check the target package against the constraint embodied in this PackageConstraint.
- checkConstraint(PackageConstraint) - Method in class weka.core.packageManagement.PackageConstraint
-
Check the target package constraint against the constraint embodied in this package constraint.
- checkConstraint(PackageConstraint) - Method in class weka.core.packageManagement.VersionPackageConstraint
-
Check the target package constraint against the constraint embodied in this package constraint.
- checkConstraint(PackageConstraint) - Method in class weka.core.packageManagement.VersionRangePackageConstraint
- checkDefaultOptions() - Method in class weka.core.CheckOptionHandler
-
checks whether the default options can be processed completely or some invalid options are returned by the getOptions() method.
- checkErrorRateTipText() - Method in class weka.classifiers.rules.JRip
-
Returns the tip text for this property
- CheckEstimator - Class in weka.estimators
-
Class for examining the capabilities and finding problems with estimators.
- CheckEstimator() - Constructor for class weka.estimators.CheckEstimator
- CheckEstimator.AttrTypes - Class in weka.estimators
-
class that contains info about the attribute types the estimator can estimate estimator work on one attribute only
- CheckEstimator.EstTypes - Class in weka.estimators
-
public class that contains info about the chosen attribute type estimator work on one attribute only
- CheckEstimator.PostProcessor - Class in weka.estimators
-
a class for postprocessing the test-data
- checkForAttributeType(int) - Method in class weka.core.Instances
-
Checks for attributes of the given type in the dataset
- checkForMissingFiles(Package, File, PrintStream...) - Static method in class weka.core.WekaPackageLibIsolatingClassLoader
-
Checks to see if there are any missing files/directories for a given package.
- checkForMissingFiles(Package, File, PrintStream...) - Static method in class weka.core.WekaPackageManager
-
Checks to see if there are any missing files/directories for a given package.
- checkForNewPackages(PrintStream...) - Static method in class weka.core.WekaPackageManager
-
Check for new packages on the server and refresh the local cache if needed
- checkForRemainingOptions(String[]) - Static method in class weka.core.Utils
-
Checks if the given array contains any non-empty options.
- checkForStringAttributes() - Method in class weka.core.Instances
-
Checks for string attributes in the dataset
- checkForThirdPartyClass(String, WekaPackageLibIsolatingClassLoader) - Static method in class weka.core.SerializationHelper
-
Checks to see if the supplied package class loader (or any of its dependent package class loaders) has the given third party class.
- checkGlobalInfo() - Method in class weka.core.CheckGOE
-
checks whether the object declares a globalInfo method.
- CheckGOE - Class in weka.core
-
Simple command line checking of classes that are editable in the GOE.
- CheckGOE() - Constructor for class weka.core.CheckGOE
-
default constructor
- checkIndicesList(MiddleOutConstructor.MyIdxList, int, int) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Checks whether if the points in an index list are in some specified of the master index array.
- checkInstance(Instance) - Method in class weka.core.Instances
-
Checks if the given instance is compatible with this dataset.
- CheckKernel - Class in weka.classifiers.functions.supportVector
-
Class for examining the capabilities and finding problems with kernels.
- CheckKernel() - Constructor for class weka.classifiers.functions.supportVector.CheckKernel
- checkListOptions() - Method in class weka.core.CheckOptionHandler
-
checks whether the listOptions method works
- checkModel() - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
-
Checks if generated model is valid.
- checkModel(int) - Method in class weka.classifiers.trees.lmt.ResidualSplit
-
Checks if there are at least 2 subsets that contain >= minNumInstances.
- CheckOptionHandler - Class in weka.core
-
Simple command line checking of classes that implement OptionHandler.
- CheckOptionHandler() - Constructor for class weka.core.CheckOptionHandler
- checkRemainingOptions() - Method in class weka.core.CheckOptionHandler
-
checks whether the user-supplied options can be processed completely or some "left-over" options remain
- checkResettingOptions() - Method in class weka.core.CheckOptionHandler
-
checks whether the optionhandler can be re-setted again to default options after the user-supplied options have been set.
- CheckScheme - Class in weka.core
-
Abstract general class for testing schemes in Weka.
- CheckScheme() - Constructor for class weka.core.CheckScheme
- CheckScheme.PostProcessor - Class in weka.core
-
a class for postprocessing the test-data
- checkSetOptions() - Method in class weka.core.CheckOptionHandler
-
checks whether the user-supplied options can be processed at all
- CheckSource - Class in weka.classifiers
-
A simple class for checking the source generated from Classifiers implementing the
weka.classifiers.Sourcable
interface. - CheckSource - Class in weka.filters
-
A simple class for checking the source generated from Filters implementing the
weka.filters.Sourcable
interface. - CheckSource() - Constructor for class weka.classifiers.CheckSource
- CheckSource() - Constructor for class weka.filters.CheckSource
- checkStatus(Object) - Method in interface weka.experiment.Compute
-
Check on the status of a
Task
- checkStatus(Object) - Method in class weka.experiment.RemoteEngine
-
Returns status information on a particular task
- checksTurnedOffTipText() - Method in class weka.classifiers.functions.SMO
-
Returns the tip text for this property
- checksTurnedOffTipText() - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Returns the tip text for this property
- checkToolTips() - Method in class weka.core.CheckGOE
-
checks whether the object declares tip text method for all its properties.
- checkWindowShouldBeClosed(WindowEvent) - Method in class weka.gui.GUIChooserApp
-
Asks the user whether the window that generated the window evident given as the argument should really be closed.
- CHI_SQUARE_DISTRIBUTION - Enum constant in enum class weka.core.pmml.jaxbbindings.BASELINETESTSTATISTIC
- CHI_SQUARE_INDEPENDENCE - Enum constant in enum class weka.core.pmml.jaxbbindings.BASELINETESTSTATISTIC
- ChildFrameMDI(Main, String) - Constructor for class weka.gui.Main.ChildFrameMDI
-
constructs a new internal frame that knows about its parent.
- ChildFrameSDI(GUIChooserApp, String) - Constructor for class weka.gui.GUIChooserApp.ChildFrameSDI
-
constructs a new internal frame that knows about its parent.
- ChildFrameSDI(Main, String) - Constructor for class weka.gui.Main.ChildFrameSDI
-
constructs a new internal frame that knows about its parent.
- ChildParent - Class in weka.core.pmml.jaxbbindings
-
Java class for ChildParent element declaration.
- ChildParent() - Constructor for class weka.core.pmml.jaxbbindings.ChildParent
- childrenValues() - Method in class weka.gui.HierarchyPropertyParser
-
The value in the children nodes.
- chisqDistribution - Static variable in class weka.core.matrix.Maths
-
Distribution type: chi-squared
- chiSquared(double[][], boolean) - Static method in class weka.core.ContingencyTables
-
Returns chi-squared probability for a given matrix.
- chiSquaredProbability(double, double) - Static method in class weka.core.Statistics
-
Returns chi-squared probability for given value and degrees of freedom.
- chiVal(double[][], boolean) - Static method in class weka.core.ContingencyTables
-
Computes chi-squared statistic for a contingency table.
- chol() - Method in class weka.core.matrix.Matrix
-
Cholesky Decomposition
- CholeskyDecomposition - Class in weka.core.matrix
-
Cholesky Decomposition.
- CholeskyDecomposition(Matrix) - Constructor for class weka.core.matrix.CholeskyDecomposition
-
Cholesky algorithm for symmetric and positive definite matrix.
- chooseIndex() - Method in class weka.classifiers.rules.part.ClassifierDecList
-
Method for choosing a subset to expand.
- chooseLastIndex() - Method in class weka.classifiers.rules.part.ClassifierDecList
-
Choose last index (ie.
- CISearchAlgorithm - Class in weka.classifiers.bayes.net.search.ci
-
The CISearchAlgorithm class supports Bayes net structure search algorithms that are based on conditional independence test (as opposed to for example score based of cross validation based search algorithms).
- CISearchAlgorithm() - Constructor for class weka.classifiers.bayes.net.search.ci.CISearchAlgorithm
- CityBlock - Class in weka.core.pmml.jaxbbindings
-
Java class for cityBlock element declaration.
- CityBlock() - Constructor for class weka.core.pmml.jaxbbindings.CityBlock
- CLASS - Static variable in class weka.core.json.JSONInstances
-
the class attribute indicator.
- CLASS - Static variable in class weka.knowledgeflow.JSONFlowUtils
- CLASS_GROOVYCLASSLOADER - Static variable in class weka.core.scripting.Groovy
-
the classname of the Groovy classloader.
- CLASS_IS_LAST - Static variable in class weka.core.TestInstances
-
can be used for settting the class attribute index to last
- CLASS_PYTHONINERPRETER - Static variable in class weka.core.scripting.Jython
-
the classname of the Python interpreter
- CLASS_PYTHONOBJECTINPUTSTREAM - Static variable in class weka.core.scripting.Jython
-
the classname of the Python ObjectInputStream
- ClassAssigner - Class in weka.filters.unsupervised.attribute
-
Filter that can set and unset the class index.
- ClassAssigner - Class in weka.gui.beans
-
Bean that assigns a class attribute to a data set.
- ClassAssigner - Class in weka.knowledgeflow.steps
-
Knowledge Flow step for assigning a class attribute in incoming data
- ClassAssigner() - Constructor for class weka.filters.unsupervised.attribute.ClassAssigner
- ClassAssigner() - Constructor for class weka.gui.beans.ClassAssigner
- ClassAssigner() - Constructor for class weka.knowledgeflow.steps.ClassAssigner
- ClassAssignerBeanInfo - Class in weka.gui.beans
-
BeanInfo class for the class assigner bean
- ClassAssignerBeanInfo() - Constructor for class weka.gui.beans.ClassAssignerBeanInfo
- ClassAssignerCustomizer - Class in weka.gui.beans
-
GUI customizer for the class assigner bean
- ClassAssignerCustomizer() - Constructor for class weka.gui.beans.ClassAssignerCustomizer
- ClassAssignerStepEditorDialog - Class in weka.gui.knowledgeflow.steps
-
Step editor dialog for the ClassAssigner step
- ClassAssignerStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.ClassAssignerStepEditorDialog
- classAttribute() - Method in class weka.core.AbstractInstance
-
Returns class attribute.
- classAttribute() - Method in interface weka.core.Instance
-
Returns class attribute.
- classAttribute() - Method in class weka.core.Instances
-
Returns the class attribute.
- classAttributeNames() - Method in class weka.classifiers.functions.SMO
- ClassBalancer - Class in weka.filters.supervised.instance
-
Reweights the instances in the data so that each class has the same total weight.
- ClassBalancer() - Constructor for class weka.filters.supervised.instance.ClassBalancer
- ClassCache - Class in weka.core
-
A singleton that stores all classes on the classpath.
- ClassCache() - Constructor for class weka.core.ClassCache
-
Initializes the cache.
- ClassCache.ClassFileFilter - Class in weka.core
-
For filtering classes.
- ClassCache.DirectoryFilter - Class in weka.core
-
For filtering classes.
- classColumnTipText() - Method in class weka.gui.beans.ClassAssigner
-
Tool tip text for this property
- ClassConditionalProbabilities - Class in weka.filters.supervised.attribute
-
Converts the values of nominal and/or numeric attributes into class conditional probabilities.
- ClassConditionalProbabilities() - Constructor for class weka.filters.supervised.attribute.ClassConditionalProbabilities
- ClassDiscovery - Class in weka.core
-
This class is used for discovering classes that implement a certain interface or a derived from a certain class.
- ClassDiscovery() - Constructor for class weka.core.ClassDiscovery
- ClassDiscovery.StringCompare - Class in weka.core
-
compares two strings.
- classDistributionIsPure() - Method in class weka.classifiers.trees.ht.HNode
-
Returns true if the class distribution is pure
- CLASSES_TO_CLUSTERS_EVAL - Enum constant in enum class weka.gui.explorer.ClustererPanel.TestMode
- ClassFileFilter() - Constructor for class weka.core.ClassCache.ClassFileFilter
- classFirst(boolean) - Method in class weka.experiment.Experiment
-
Sets whether the first attribute is treated as the class for all datasets involved in the experiment.
- classFlagTipText() - Method in class weka.datagenerators.ClusterGenerator
-
Returns the tip text for this property
- CLASSIFICATION - Enum constant in enum class weka.core.pmml.jaxbbindings.MININGFUNCTION
- ClassificationGenerator - Class in weka.datagenerators
-
Abstract class for data generators for classifiers.
- ClassificationGenerator() - Constructor for class weka.datagenerators.ClassificationGenerator
-
initializes with default values
- ClassificationViaRegression - Class in weka.classifiers.meta
-
Class for doing classification using regression methods.
- ClassificationViaRegression() - Constructor for class weka.classifiers.meta.ClassificationViaRegression
-
Default constructor.
- Classifier - Class in weka.gui.beans
-
Bean that wraps around weka.classifiers
- Classifier - Class in weka.knowledgeflow.steps
-
Step that wraps a Weka classifier.
- Classifier - Interface in weka.classifiers
-
Classifier interface.
- Classifier() - Constructor for class weka.gui.beans.Classifier
-
Creates a new
Classifier
instance. - Classifier() - Constructor for class weka.knowledgeflow.steps.Classifier
- CLASSIFIER - Enum constant in enum class weka.Run.SchemeType
- ClassifierAttributeEval - Class in weka.attributeSelection
-
ClassifierAttributeEval :
Evaluates the worth of an attribute by using a user-specified classifier. - ClassifierAttributeEval() - Constructor for class weka.attributeSelection.ClassifierAttributeEval
-
Constructor.
- ClassifierBeanInfo - Class in weka.gui.beans
-
BeanInfo class for the Classifier wrapper bean
- ClassifierBeanInfo() - Constructor for class weka.gui.beans.ClassifierBeanInfo
- ClassifierCustomizer - Class in weka.gui.beans
-
GUI customizer for the classifier wrapper bean
- ClassifierCustomizer() - Constructor for class weka.gui.beans.ClassifierCustomizer
- ClassifierDecList - Class in weka.classifiers.rules.part
-
Class for handling a rule (partial tree) for a decision list.
- ClassifierDecList(ModelSelection, int) - Constructor for class weka.classifiers.rules.part.ClassifierDecList
-
Constructor - just calls constructor of class DecList.
- ClassifierErrorsPlotInstances - Class in weka.gui.explorer
-
A class for generating plottable visualization errors.
- ClassifierErrorsPlotInstances() - Constructor for class weka.gui.explorer.ClassifierErrorsPlotInstances
- ClassifierPanel - Class in weka.gui.explorer
-
This panel allows the user to select and configure a classifier, set the attribute of the current dataset to be used as the class, and evaluate the classifier using a number of testing modes (test on the training data, train/test on a percentage split, n-fold cross-validation, test on a separate split).
- ClassifierPanel() - Constructor for class weka.gui.explorer.ClassifierPanel
-
Creates the classifier panel.
- ClassifierPanel.TestMode - Enum Class in weka.gui.explorer
- ClassifierPanelLaunchHandlerPlugin - Interface in weka.gui.explorer
-
Interface to plugin that can take the current state of the Classifier panel and execute it.
- ClassifierPerformanceEvaluator - Class in weka.gui.beans
-
A bean that evaluates the performance of batch trained classifiers
- ClassifierPerformanceEvaluator - Class in weka.knowledgeflow.steps
-
Step that implements batch classifier evaluation
- ClassifierPerformanceEvaluator() - Constructor for class weka.gui.beans.ClassifierPerformanceEvaluator
- ClassifierPerformanceEvaluator() - Constructor for class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
Constructor
- ClassifierPerformanceEvaluatorBeanInfo - Class in weka.gui.beans
-
Bean info class for the classifier performance evaluator
- ClassifierPerformanceEvaluatorBeanInfo() - Constructor for class weka.gui.beans.ClassifierPerformanceEvaluatorBeanInfo
- ClassifierPerformanceEvaluatorCustomizer - Class in weka.gui.beans
-
GUI customizer for the classifier performance evaluator component
- ClassifierPerformanceEvaluatorCustomizer() - Constructor for class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
-
Constructor
- ClassifierPerformanceEvaluatorStepEditorDialog - Class in weka.gui.knowledgeflow.steps
-
GUI step editor dialog for the ClassifierPerformanceEvaluator step
- ClassifierPerformanceEvaluatorStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.ClassifierPerformanceEvaluatorStepEditorDialog
-
Constructor
- classifiers() - Method in class weka.classifiers.meta.LogitBoost
-
Returns the array of classifiers that have been built.
- ClassifierSplitEvaluator - Class in weka.experiment
-
A SplitEvaluator that produces results for a classification scheme on a nominal class attribute.
- ClassifierSplitEvaluator() - Constructor for class weka.experiment.ClassifierSplitEvaluator
-
No args constructor.
- ClassifierSplitModel - Class in weka.classifiers.trees.j48
-
Abstract class for classification models that can be used recursively to split the data.
- ClassifierSplitModel() - Constructor for class weka.classifiers.trees.j48.ClassifierSplitModel
- classifiersTipText() - Method in class weka.classifiers.meta.MultiScheme
-
Returns the tip text for this property
- classifiersTipText() - Method in class weka.classifiers.MultipleClassifiersCombiner
-
Returns the tip text for this property
- ClassifierSubsetEval - Class in weka.attributeSelection
-
Classifier subset evaluator:
Evaluates attribute subsets on training data or a separate hold out testing set. - ClassifierSubsetEval() - Constructor for class weka.attributeSelection.ClassifierSubsetEval
- classifierTipText() - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Returns the tip text for this property
- classifierTipText() - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Returns the tip text for this property
- classifierTipText() - Method in class weka.attributeSelection.WrapperSubsetEval
-
Returns the tip text for this property
- classifierTipText() - Method in class weka.classifiers.SingleClassifierEnhancer
-
Returns the tip text for this property
- classifierTipText() - Method in class weka.experiment.ClassifierSplitEvaluator
-
Returns the tip text for this property
- classifierTipText() - Method in class weka.experiment.RegressionSplitEvaluator
-
Returns the tip text for this property
- classifierTipText() - Method in class weka.filters.supervised.attribute.AddClassification
-
Returns the tip text for this property.
- classifierTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Returns the tip text for this property
- ClassifierTree - Class in weka.classifiers.trees.j48
-
Class for handling a tree structure used for classification.
- ClassifierTree(ModelSelection) - Constructor for class weka.classifiers.trees.j48.ClassifierTree
-
Constructor.
- CLASSIFY_CHILD - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
-
Asks for another learning scheme to classify this node.
- classifyInstance(Instance) - Method in class weka.classifiers.AbstractClassifier
-
Classifies the given test instance.
- classifyInstance(Instance) - Method in interface weka.classifiers.Classifier
-
Classifies the given test instance.
- classifyInstance(Instance) - Method in class weka.classifiers.functions.GaussianProcesses
-
Classifies a given instance.
- classifyInstance(Instance) - Method in class weka.classifiers.functions.LinearRegression
-
Classifies the given instance using the linear regression function.
- classifyInstance(Instance) - Method in class weka.classifiers.functions.SimpleLinearRegression
-
Generate a prediction for the supplied instance.
- classifyInstance(Instance) - Method in class weka.classifiers.functions.SMOreg
-
Classifies the given instance using the linear regression function.
- classifyInstance(Instance) - Method in class weka.classifiers.meta.AdditiveRegression
-
Classify an instance.
- classifyInstance(Instance) - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Returns a predicted class for the test instance.
- classifyInstance(Instance) - Method in class weka.classifiers.meta.Vote
-
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.misc.InputMappedClassifier
- classifyInstance(Instance) - Method in class weka.classifiers.rules.OneR
-
Classifies a given instance.
- classifyInstance(Instance) - Method in class weka.classifiers.rules.part.ClassifierDecList
-
Classifies an instance.
- classifyInstance(Instance) - Method in class weka.classifiers.rules.PART
-
Classifies an instance.
- classifyInstance(Instance) - Method in class weka.classifiers.rules.part.MakeDecList
-
Classifies an instance.
- classifyInstance(Instance) - Method in class weka.classifiers.rules.ZeroR
-
Classifies a given instance.
- classifyInstance(Instance) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
-
Classifies a given instance.
- classifyInstance(Instance) - Method in class weka.classifiers.trees.j48.ClassifierTree
-
Classifies an instance.
- classifyInstance(Instance) - Method in class weka.classifiers.trees.J48
-
Classifies an instance.
- classifyInstance(Instance) - Method in class weka.classifiers.trees.LMT
-
Classifies an instance.
- classifyInstance(Instance) - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
-
Generate a prediction for the supplied instance.
- classifyInstance(Instance) - Method in class weka.classifiers.trees.m5.M5Base
-
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.PreConstructedLinearModel
-
Predicts the class of the supplied instance using the linear model.
- classifyInstance(Instance) - Method in class weka.classifiers.trees.m5.Rule
-
Calculates a prediction for an instance using this rule or M5 model tree
- classifyInstance(Instance) - Method in class weka.classifiers.trees.m5.RuleNode
-
Classify an instance using this node.
- classIndex() - Method in class weka.core.AbstractInstance
-
Returns the class attribute's index.
- classIndex() - Method in interface weka.core.Instance
-
Returns the class attribute's index.
- classIndex() - Method in class weka.core.Instances
-
Returns the class attribute's index.
- classIndexTipText() - Method in class weka.associations.Apriori
-
Returns the tip text for this property
- classIndexTipText() - Method in class weka.associations.FilteredAssociator
-
Returns the tip text for this property
- classIndexTipText() - Method in class weka.core.converters.JSONSaver
-
Returns the tip text for this property.
- classIndexTipText() - Method in class weka.core.converters.LibSVMSaver
-
Returns the tip text for this property
- classIndexTipText() - Method in class weka.core.converters.SVMLightSaver
-
Returns the tip text for this property.
- classIndexTipText() - Method in class weka.core.converters.XRFFSaver
-
Returns the tip text for this property
- classIndexTipText() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
-
Returns the tip text for this property.
- classIndexTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Returns the tip text for this property
- classIsMissing() - Method in class weka.core.AbstractInstance
-
Tests if an instance's class is missing.
- classIsMissing() - Method in interface weka.core.Instance
-
Tests if an instance's class is missing.
- ClassLabels - Class in weka.core.pmml.jaxbbindings
-
Java class for ClassLabels element declaration.
- ClassLabels() - Constructor for class weka.core.pmml.jaxbbindings.ClassLabels
- ClassloaderUtil - Class in weka.core
-
Utility class that can add jar files to the classpath dynamically.
- ClassloaderUtil() - Constructor for class weka.core.ClassloaderUtil
- className(int) - Method in class weka.classifiers.evaluation.ConfusionMatrix
-
Gets the name of one of the classes.
- classNameTipText() - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Returns the tip text for this property
- ClassOrder - Class in weka.filters.supervised.attribute
-
Changes the order of the classes so that the class values are no longer of in the order specified in the header.
- ClassOrder() - Constructor for class weka.filters.supervised.attribute.ClassOrder
- classOrderTipText() - Method in class weka.filters.supervised.attribute.ClassOrder
-
Returns the tip text for this property
- ClassPanel - Class in weka.gui.visualize
-
This panel displays coloured labels for nominal attributes and a spectrum for numeric attributes.
- ClassPanel() - Constructor for class weka.gui.visualize.ClassPanel
- ClassPanel(Color) - Constructor for class weka.gui.visualize.ClassPanel
- classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.BinC45Split
-
Gets class probability for instance.
- classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.C45Split
-
Gets class probability for instance.
- classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
-
Gets class probability for instance.
- classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
-
Return the probability for a class value
- classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.NBTreeSplit
-
Return the probability for a class value
- classProbLaplace(int, Instance, int) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
-
Gets class probability for instance.
- ClassRunner(SimpleCLIPanel, Class<?>, String[]) - Constructor for class weka.gui.SimpleCLIPanel.ClassRunner
-
Sets up the class runner thread.
- classValue() - Method in class weka.core.AbstractInstance
-
Returns an instance's class value in internal format.
- classValue() - Method in interface weka.core.Instance
-
Returns an instance's class value as a floating-point number.
- classValueIndexTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Returns the tip text for this property
- ClassValuePicker - Class in weka.gui.beans
- ClassValuePicker - Class in weka.knowledgeflow.steps
-
Step that allows the selection of the class label that is to be considered as the "positive" class when computing threshold curves.
- ClassValuePicker() - Constructor for class weka.gui.beans.ClassValuePicker
- ClassValuePicker() - Constructor for class weka.knowledgeflow.steps.ClassValuePicker
- ClassValuePickerBeanInfo - Class in weka.gui.beans
-
BeanInfo class for the class value picker bean
- ClassValuePickerBeanInfo() - Constructor for class weka.gui.beans.ClassValuePickerBeanInfo
- ClassValuePickerCustomizer - Class in weka.gui.beans
- ClassValuePickerCustomizer() - Constructor for class weka.gui.beans.ClassValuePickerCustomizer
- ClassValuePickerStepEditorDialog - Class in weka.gui.knowledgeflow.steps
-
Editor dialog for the ClassValuePicker step.
- ClassValuePickerStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.ClassValuePickerStepEditorDialog
- clean() - Method in class weka.attributeSelection.ASEvaluation
-
Tells the evaluator that the attribute selection process is complete.
- clean() - Method in class weka.attributeSelection.CfsSubsetEval
- clean() - Method in class weka.attributeSelection.WrapperSubsetEval
- clean() - Method in class weka.classifiers.functions.supportVector.CachedKernel
-
Frees the cache used by the kernel.
- clean() - Method in class weka.classifiers.functions.supportVector.Kernel
-
Frees the memory used by the kernel.
- clean() - Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
-
Frees the cache used by the kernel.
- clean() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
-
Frees the memory used by the kernel.
- clean() - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Frees the memory used by the kernel.
- clean() - Method in interface weka.core.DistanceFunction
-
Free any references to training instances
- clean() - Method in class weka.core.FilteredDistance
-
Free any references to training instances
- clean() - Method in class weka.core.NormalizableDistance
- cleanup() - Method in class weka.classifiers.trees.j48.BinC45ModelSelection
-
Sets reference to training data to null.
- cleanup() - Method in class weka.classifiers.trees.j48.C45ModelSelection
-
Sets reference to training data to null.
- cleanup() - Method in class weka.classifiers.trees.j48.NBTreeModelSelection
-
Sets reference to training data to null.
- cleanup() - Method in class weka.classifiers.trees.lmt.LogisticBase
-
Cleanup in order to save memory.
- cleanup() - Method in class weka.classifiers.trees.lmt.ResidualModelSelection
-
Method not in use
- cleanup(Instances) - Method in class weka.classifiers.rules.part.ClassifierDecList
-
Cleanup in order to save memory.
- cleanup(Instances) - Method in class weka.classifiers.trees.j48.ClassifierTree
-
Cleanup in order to save memory.
- cleanUp() - Method in class weka.classifiers.rules.RuleStats
-
Frees up memory after classifier has been built.
- cleanUp() - Method in class weka.clusterers.Canopy
-
Save memory
- cleanUp() - Method in class weka.gui.explorer.AbstractPlotInstances
-
For freeing up memory.
- cleanUp() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
-
For freeing up memory.
- cleanUp() - Method in class weka.gui.explorer.ClustererAssignmentsPlotInstances
-
For freeing up memory.
- cleanUp(String) - Static method in class weka.core.ClassCache
-
Fixes the classname, turns "/" and "\" into "." and removes ".class".
- cleanUp(Instances) - Method in class weka.classifiers.rules.JRip.RipperRule
-
Removes redundant tests in the rule.
- cleanUpAfterSwitch() - Method in class weka.gui.experiment.AbstractSetupPanel
-
Hook method for cleaning up the interface after a switch.
- cleanUpAfterSwitch() - Method in class weka.gui.experiment.SetupPanel
-
Hook method for cleaning up the interface after a switch.
- cleanUpAfterSwitch() - Method in class weka.gui.experiment.SimpleSetupPanel
-
Hook method for cleaning up the interface after a switch.
- clear() - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
-
Clears this hashtable so that it contains no keys.
- clear() - Method in class weka.classifiers.xml.XMLClassifier
-
generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
- clear() - Method in class weka.core.neighboursearch.covertrees.Stack
-
Removes all the elements from the stack.
- clear() - Method in class weka.core.ProtectedProperties
-
Overrides a method to prevent the properties from being modified.
- clear() - Method in class weka.core.Stopwords
-
removes all stopwords
- clear() - Method in class weka.core.Tee
-
removes all streams and places the default printstream, if any, again in the list.
- clear() - Method in class weka.core.Trie
-
Removes all of the elements from this collection
- clear() - Method in class weka.core.xml.MethodHandler
-
removes all mappings
- clear() - Method in class weka.core.xml.XMLBasicSerialization
-
generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
- clear() - Method in class weka.core.xml.XMLDocument
-
sets up an empty DOM document, with the current DOCTYPE and root node.
- clear() - Method in class weka.core.xml.XMLSerialization
-
generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
- clear() - Method in class weka.core.xml.XMLSerializationMethodHandler
-
removes all current methods and adds the methods according to the
- clear() - Method in class weka.experiment.ResultMatrix
-
removes the stored data and the ordering, but retains the dimensions of the matrix.
- clear() - Method in class weka.experiment.ResultMatrixCSV
-
removes the stored data but retains the dimensions of the matrix.
- clear() - Method in class weka.experiment.ResultMatrixGnuPlot
-
removes the stored data but retains the dimensions of the matrix.
- clear() - Method in class weka.experiment.ResultMatrixLatex
-
removes the stored data but retains the dimensions of the matrix.
- clear() - Method in class weka.experiment.xml.XMLExperiment
-
generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
- clear() - Method in class weka.gui.beans.xml.XMLBeans
-
generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
- clear() - Method in class weka.gui.GenericObjectEditorHistory
-
Clears the history.
- clear() - Method in class weka.gui.LogWindow
-
clears the output
- clear() - Method in class weka.gui.sql.ConnectionPanel
-
sets the parameters back to standard.
- clear() - Method in class weka.gui.sql.InfoPanel
-
clears the content of the panel
- clear() - Method in class weka.gui.sql.QueryPanel
-
clears the textarea.
- clear() - Method in class weka.gui.sql.ResultPanel
-
sets the parameters back to standard
- clear() - Method in class weka.gui.sql.SqlViewer
-
calls the clear method of all sub-panels to set back to default values and free up memory.
- clearAllConnections() - Method in class weka.knowledgeflow.StepManagerImpl
-
Clear all connections to/from the step managed by this manager.
- clearAllStepOutputListeners() - Method in class weka.knowledgeflow.StepManagerImpl
-
Clear all registered StepOutputListeners
- clearAttributeSpecs() - Method in class weka.filters.unsupervised.attribute.AddUserFields
-
Clear the list of attribute specifications
- clearCache() - Static method in class weka.core.ClassDiscovery
-
clears the cache for class/classnames queries.
- clearClassCache() - Static method in class weka.core.ClassDiscovery
-
Calls clearCache() and resets the cache of classes on the classpath (i.e.
- clearDesignPaletteSelection() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Clear the current selection in the design palette
- clearHeader() - Method in class weka.experiment.ResultMatrix
-
removes all the header information.
- clearLayout() - Method in class weka.gui.beans.KnowledgeFlowApp
- clearPayload() - Method in class weka.knowledgeflow.Data
-
Clear all payload elements from this Data object
- clearPlotData() - Method in class weka.knowledgeflow.steps.DataVisualizer
- clearPlotData() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Clear all plot data (both onscreen and offscreen)
- clearRanking() - Method in class weka.experiment.ResultMatrix
-
clears the currently stored ranking data.
- clearRect(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
-
Draw a filled rectangle with the background color.
- clearResultData() - Method in class weka.knowledgeflow.JobEnvironment
- clearResults() - Method in class weka.gui.ResultHistoryPanel
-
Removes all of the result buffers from the history.
- clearSearch() - Method in class weka.gui.arffviewer.ArffPanel
-
clears the search, i.e.
- clearSearch() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
clears the search, i.e.
- clearStatus() - Method in class weka.gui.beans.LogPanel
-
Clear the status area.
- clearStepOutputListeners(String) - Method in class weka.knowledgeflow.StepManagerImpl
-
Clear all the StepOutputListeners that are registered to receive the supplied connection type.
- clearStepProperties() - Method in class weka.knowledgeflow.JobEnvironment
-
Clear all step properties
- clearSummary() - Method in class weka.experiment.ResultMatrix
-
clears the current summary data.
- clearUndo() - Method in interface weka.core.Undoable
-
removes the undo history
- clearUndo() - Method in class weka.gui.arffviewer.ArffPanel
-
removes the undo history
- clearUndo() - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
removes the undo history
- clearUndo() - Method in class weka.gui.arffviewer.ArffTableModel
-
removes the undo history
- clearUndoStack() - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
remove all actions from the undo stack
- clip(Shape) - Method in class weka.gui.visualize.PostscriptGraphics
- clipRect(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
-
Not implemented
- Clock() - Constructor for class weka.core.Debug.Clock
-
automatically starts the clock with FORMAT_SECONDS format and CPU time if available
- Clock(boolean) - Constructor for class weka.core.Debug.Clock
-
starts the clock depending on
start
immediately with the FORMAT_SECONDS output format and CPU time if available - Clock(boolean, int) - Constructor for class weka.core.Debug.Clock
-
starts the clock depending on
start
immediately, using CPU time if available - Clock(int) - Constructor for class weka.core.Debug.Clock
-
automatically starts the clock with the given output format and CPU time if available
- CLOGLOG - Enum constant in enum class weka.core.pmml.jaxbbindings.CUMULATIVELINKFUNCTION
- CLOGLOG - Enum constant in enum class weka.core.pmml.jaxbbindings.LINKFUNCTION
- CLOGLOG - Enum constant in enum class weka.core.pmml.jaxbbindings.REGRESSIONNORMALIZATIONMETHOD
- clone() - Method in class weka.classifiers.evaluation.ConfusionMatrix
-
Creates and returns a clone of this object.
- clone() - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
-
Allows to clone a model (shallow copy).
- clone() - Method in class weka.classifiers.trees.j48.Distribution
-
Clones distribution (Deep copy of distribution).
- clone() - Method in class weka.core.AlgVector
-
Creates and returns a clone of this object.
- clone() - Method in class weka.core.Capabilities
-
Creates and returns a copy of this object.
- clone() - Method in class weka.core.Matrix
-
Deprecated.Creates and returns a clone of this object.
- clone() - Method in class weka.core.matrix.DoubleVector
-
Clones the DoubleVector object.
- clone() - Method in class weka.core.matrix.IntVector
-
Clones the IntVector object.
- clone() - Method in class weka.core.matrix.Matrix
-
Clone the Matrix object.
- clone() - Method in class weka.core.packageManagement.DefaultPackage
-
Clone this package.
- clone() - Method in class weka.core.packageManagement.Package
- clone() - Method in class weka.core.PropertyPath.PathElement
-
returns a clone of the current object
- clone() - Method in class weka.core.TestInstances
-
creates a clone of the current object
- clone() - Method in class weka.core.Trie
-
returns a deep copy of itself
- clone() - Method in class weka.core.Trie.TrieNode
-
creates a deep copy of itself
- clone(Estimator) - Static method in class weka.estimators.Estimator
-
Creates a deep copy of the given estimator using serialization.
- close() - Method in class weka.experiment.DatabaseUtils
-
closes the m_PreparedStatement to avoid memory leaks.
- close() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
closes the window, i.e., if the parent is not null and implements the WindowListener interface it calls the windowClosing method
- close() - Method in class weka.gui.LogWindow
-
closes the frame
- close(ResultSet) - Method in class weka.experiment.DatabaseUtils
-
closes the ResultSet and the statement that generated the ResultSet to avoid memory leaks in JDBC drivers - in contrast to the JDBC specs, a lot of JDBC drives don't clean up correctly.
- CloseableTabTitle - Class in weka.gui
-
Tab title widget that allows the user to click a little cross in order to close the tab
- CloseableTabTitle(JTabbedPane, String, CloseableTabTitle.ClosingCallback) - Constructor for class weka.gui.CloseableTabTitle
-
Constructor.
- CloseableTabTitle.ClosingCallback - Interface in weka.gui
-
Interface for a callback for notification of a tab's close widget being clicked
- closeAllFiles() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
closes all open files
- closeAllTabs() - Method in class weka.gui.beans.KnowledgeFlowApp
- closeAllTabs() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Close all the open tabs
- CLOSEDCLOSED - Enum constant in enum class weka.core.pmml.FieldMetaInfo.Interval.Closure
- CLOSEDOPEN - Enum constant in enum class weka.core.pmml.FieldMetaInfo.Interval.Closure
- closeFile() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
closes the current tab
- closeFile(boolean) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
closes the current tab
- closeFrame() - Method in class weka.gui.SetInstancesPanel
-
closes the frame, i.e., the visibility is set to false.
- closePressed() - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
-
Called when the close button is pressed.
- closePressed() - Method in class weka.gui.knowledgeflow.steps.BoundaryPlotterInteractiveView
-
Called when the viewer's window is closed
- closePressed() - Method in class weka.gui.knowledgeflow.steps.StripChartInteractiveView
-
Called when the close button is pressed
- closePressed() - Method in class weka.gui.knowledgeflow.steps.TextViewerInteractiveView
-
Called when the close button is pressed
- closestPoint(Instance, Instances, int[]) - Method in class weka.core.EuclideanDistance
-
Returns the index of the closest point to the current instance.
- closeToDefaultTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Returns the tip text for this property
- closeToTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Returns the tip text for this property
- closeToToleranceTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Returns the tip text for this property
- closing() - Method in interface weka.gui.knowledgeflow.StepEditorDialog.ClosingListener
- closingCancel() - Method in interface weka.gui.beans.GOECustomizer
-
Gets called when the customizer is closing under a CANCEL condition
- closingCancel() - Method in class weka.gui.filters.AddUserFieldsCustomizer
-
Actions to perform when the user has closed the dialog with the Cancel button
- closingCancel() - Method in class weka.gui.PropertySheetPanel
-
Pass on a CANCEL closing notificiation to the customizer (if one is in use).
- closingOK() - Method in interface weka.gui.beans.GOECustomizer
-
Gets called when the customizer is closing under an OK condition
- closingOK() - Method in class weka.gui.filters.AddUserFieldsCustomizer
-
Actions to perform when the user has closed the dialog with the OK button.
- closingOK() - Method in class weka.gui.PropertySheetPanel
-
Pass on an OK closing notification to the customizer (if one is in use)
- Cls - Class in weka.gui.simplecli
-
Clears the output area.
- Cls() - Constructor for class weka.gui.simplecli.Cls
- Cluster - Class in weka.core.pmml.jaxbbindings
-
Java class for Cluster element declaration.
- Cluster() - Constructor for class weka.core.pmml.jaxbbindings.Cluster
- CLUSTER_AFFINITY - Enum constant in enum class weka.core.pmml.jaxbbindings.RESULTFEATURE
- CLUSTER_ID - Enum constant in enum class weka.core.pmml.jaxbbindings.RESULTFEATURE
- ClusterDefinition - Class in weka.datagenerators
-
Ancestor to all ClusterDefinitions, i.e., subclasses that handle their own parameters that the cluster generator only passes on.
- ClusterDefinition() - Constructor for class weka.datagenerators.ClusterDefinition
-
initializes the cluster, without a parent cluster (necessary for GOE)
- ClusterDefinition(ClusterGenerator) - Constructor for class weka.datagenerators.ClusterDefinition
-
initializes the cluster by setting the parent and the defaults
- clusterDefinitionsTipText() - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
Returns the tip text for this property
- Clusterer - Class in weka.gui.beans
-
Bean that wraps around weka.clusterers
- Clusterer - Class in weka.knowledgeflow.steps
-
Step that wraps a Weka clusterer.
- Clusterer - Interface in weka.clusterers
-
Interface for clusterers.
- Clusterer() - Constructor for class weka.gui.beans.Clusterer
-
Creates a new
Clusterer
instance. - Clusterer() - Constructor for class weka.knowledgeflow.steps.Clusterer
- CLUSTERER - Enum constant in enum class weka.Run.SchemeType
- ClustererAssignmentsPlotInstances - Class in weka.gui.explorer
-
A class for generating plottable cluster assignments.
- ClustererAssignmentsPlotInstances() - Constructor for class weka.gui.explorer.ClustererAssignmentsPlotInstances
- ClustererBeanInfo - Class in weka.gui.beans
-
BeanInfo class for the Clusterer wrapper bean
- ClustererBeanInfo() - Constructor for class weka.gui.beans.ClustererBeanInfo
- ClustererCustomizer - Class in weka.gui.beans
-
GUI customizer for the Clusterer wrapper bean
- ClustererCustomizer() - Constructor for class weka.gui.beans.ClustererCustomizer
- ClustererPanel - Class in weka.gui.explorer
-
This panel allows the user to select and configure a clusterer, and evaluate the clusterer using a number of testing modes (test on the training data, train/test on a percentage split, test on a separate split).
- ClustererPanel() - Constructor for class weka.gui.explorer.ClustererPanel
-
Creates the clusterer panel
- ClustererPanel.TestMode - Enum Class in weka.gui.explorer
- ClustererPanelLaunchHandlerPlugin - Interface in weka.gui.explorer
-
Interface to plugin that can take the current state of the Clusterer panel and execute it.
- ClustererPerformanceEvaluator - Class in weka.gui.beans
-
A bean that evaluates the performance of batch trained clusterers
- ClustererPerformanceEvaluator - Class in weka.knowledgeflow.steps
-
A step that evaluates the performance of batch trained clusterers
- ClustererPerformanceEvaluator() - Constructor for class weka.gui.beans.ClustererPerformanceEvaluator
- ClustererPerformanceEvaluator() - Constructor for class weka.knowledgeflow.steps.ClustererPerformanceEvaluator
- ClustererPerformanceEvaluatorBeanInfo - Class in weka.gui.beans
-
Bean info class for the clusterer performance evaluator
- ClustererPerformanceEvaluatorBeanInfo() - Constructor for class weka.gui.beans.ClustererPerformanceEvaluatorBeanInfo
- clustererTipText() - Method in class weka.clusterers.MakeDensityBasedClusterer
-
Returns the tip text for this property
- clustererTipText() - Method in class weka.clusterers.SingleClustererEnhancer
-
Returns the tip text for this property
- clustererTipText() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Returns the tip text for this property
- clustererTipText() - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Returns the tip text for this property.
- ClusterEvaluation - Class in weka.clusterers
-
Class for evaluating clustering models.
- ClusterEvaluation() - Constructor for class weka.clusterers.ClusterEvaluation
-
Constructor.
- ClusterGenerator - Class in weka.datagenerators
-
Abstract class for cluster data generators.
- ClusterGenerator() - Constructor for class weka.datagenerators.ClusterGenerator
-
initializes the generator
- CLUSTERING - Enum constant in enum class weka.core.pmml.jaxbbindings.MININGFUNCTION
- ClusteringField - Class in weka.core.pmml.jaxbbindings
-
Java class for ClusteringField element declaration.
- ClusteringField() - Constructor for class weka.core.pmml.jaxbbindings.ClusteringField
- ClusteringModel - Class in weka.core.pmml.jaxbbindings
-
Java class for ClusteringModel element declaration.
- ClusteringModel() - Constructor for class weka.core.pmml.jaxbbindings.ClusteringModel
- ClusteringModelQuality - Class in weka.core.pmml.jaxbbindings
-
Java class for ClusteringModelQuality element declaration.
- ClusteringModelQuality() - Constructor for class weka.core.pmml.jaxbbindings.ClusteringModelQuality
- clusterInstance(Instance) - Method in class weka.clusterers.AbstractClusterer
-
Classifies a given instance.
- clusterInstance(Instance) - Method in interface weka.clusterers.Clusterer
-
Classifies a given instance.
- clusterInstance(Instance) - Method in class weka.clusterers.Cobweb
-
Classifies a given instance.
- clusterInstance(Instance) - Method in class weka.clusterers.FarthestFirst
-
Classifies a given instance.
- clusterInstance(Instance) - Method in class weka.clusterers.HierarchicalClusterer
- clusterInstance(Instance) - Method in class weka.clusterers.SimpleKMeans
-
Classifies a given instance.
- ClusterMembership - Class in weka.filters.unsupervised.attribute
-
A filter that uses a density-based clusterer to generate cluster membership values; filtered instances are composed of these values plus the class attribute (if set in the input data).
- ClusterMembership() - Constructor for class weka.filters.unsupervised.attribute.ClusterMembership
- clusterPriors() - Method in class weka.clusterers.AbstractDensityBasedClusterer
-
Returns the prior probability of each cluster.
- clusterPriors() - Method in interface weka.clusterers.DensityBasedClusterer
-
Returns the prior probability of each cluster.
- clusterPriors() - Method in class weka.clusterers.EM
-
Returns the cluster priors.
- clusterPriors() - Method in class weka.clusterers.MakeDensityBasedClusterer
-
Returns the cluster priors.
- clusterResultsToString() - Method in class weka.clusterers.ClusterEvaluation
-
return the results of clustering.
- clusterSubTypeTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Returns the tip text for this property
- clusterTypeTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Returns the tip text for this property
- CNode(int) - Constructor for class weka.clusterers.Cobweb.CNode
-
Creates an empty
CNode
instance. - CNode(int, Instance) - Constructor for class weka.clusterers.Cobweb.CNode
-
Creates a new leaf
CNode
instance. - Cobweb - Class in weka.clusterers
-
Class implementing the Cobweb and Classit clustering algorithms.
Note: the application of node operators (merging, splitting etc.) in terms of ordering and priority differs (and is somewhat ambiguous) between the original Cobweb and Classit papers. - Cobweb() - Constructor for class weka.clusterers.Cobweb
-
default constructor
- Cobweb.CNode - Class in weka.clusterers
-
Inner class handling node operations for Cobweb.
- cochransCriterion(double[][]) - Static method in class weka.core.ContingencyTables
-
Tests if Cochran's criterion is fullfilled for the given contingency table.
- codingCost() - Method in class weka.classifiers.trees.j48.C45Split
-
Returns coding cost for split (used in rule learner).
- codingCost() - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
-
Returns coding costs of model.
- Coefficient - Class in weka.core.pmml.jaxbbindings
-
Java class for Coefficient element declaration.
- Coefficient() - Constructor for class weka.core.pmml.jaxbbindings.Coefficient
- coefficients() - Method in class weka.classifiers.functions.LinearRegression
-
Returns the coefficients for this linear model.
- coefficients() - Method in class weka.classifiers.functions.Logistic
-
Returns the coefficients for this logistic model.
- coefficients() - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
-
Return the array of coefficients
- Coefficients - Class in weka.core.pmml.jaxbbindings
-
Java class for Coefficients element declaration.
- Coefficients() - Constructor for class weka.core.pmml.jaxbbindings.Coefficients
- COEFFICIENTS - Enum constant in enum class weka.core.pmml.jaxbbindings.SVMREPRESENTATION
- collapse() - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree
-
Collapses a tree to a node if training error doesn't increase.
- collapseTreeTipText() - Method in class weka.classifiers.trees.J48
-
Returns the tip text for this property
- colNameWidthTipText() - Method in class weka.experiment.ResultMatrix
-
Returns the tip text for this property.
- COLON - Static variable in interface weka.core.json.sym
- COLOR_STDERR - Static variable in class weka.gui.LogWindow
-
the Color of the style for stderr
- COLOR_STDOUT - Static variable in class weka.gui.LogWindow
-
the color of the style for stdout
- ColorEditor - Class in weka.gui
-
A property editor for colors that uses JColorChooser as the underlying editor.
- ColorEditor() - Constructor for class weka.gui.ColorEditor
- Colors - Class in weka.gui.treevisualizer
-
This class maintains a list that contains all the colornames from the dotty standard and what color (in RGB) they represent
- Colors() - Constructor for class weka.gui.treevisualizer.Colors
- combinationRuleTipText() - Method in class weka.classifiers.meta.Vote
-
Returns the tip text for this property
- combinedDL(double, double) - Method in class weka.classifiers.rules.RuleStats
-
Compute the combined DL of the ruleset in this class, i.e.
- combSort11(double[], int[]) - Static method in class weka.core.neighboursearch.NearestNeighbourSearch
-
sorts the two given arrays.
- COMMA - Static variable in interface weka.core.expressionlanguage.parser.sym
- COMMA - Static variable in interface weka.core.json.sym
- COMMANDLINE - Enum constant in enum class weka.Run.SchemeType
- CommandlineCompletion() - Constructor for class weka.gui.SimpleCLIPanel.CommandlineCompletion
-
default constructor.
- commandLineParamIsFlag() - Element in annotation interface weka.core.OptionMetadata
-
True if the command line version of this parameter is a flag (i.e.
- commandLineParamName() - Element in annotation interface weka.core.OptionMetadata
-
The name of the command line version of this parameter (without leading -).
- commandLineParamSynopsis() - Element in annotation interface weka.core.OptionMetadata
-
The synopsis to display on in the command line help for this parameter (e.g.
- CommandlineRunnable - Interface in weka.core
-
Interface to something that can be run from the command line.
- Comment - Enum constant in enum class weka.gui.scripting.SyntaxDocument.ATTR_TYPE
-
a comment.
- compactify() - Method in class weka.core.Instances
-
Compactifies the set of instances.
- compare(String, String) - Method in class weka.core.ClassDiscovery.StringCompare
-
Compares its two arguments for order.
- compare(String, String) - Static method in class weka.core.packageManagement.VersionPackageConstraint
-
Returns a VersionComparison that represents the comparison between the supplied version 1 and version 2.
- compare(String, String) - Method in class weka.filters.unsupervised.attribute.SortLabels.CaseInsensitiveComparator
-
compares the two strings, returns -1 if o1 is smaller than o2, 0 if equal and +1 if greater.
- compare(String, String) - Method in class weka.filters.unsupervised.attribute.SortLabels.CaseSensitiveComparator
-
compares the two strings, returns -1 if o1 is smaller than o2, 0 if equal and +1 if greater.
- compare(Instance, Instance) - Method in class weka.core.InstanceComparator
-
compares the two instances, returns -1 if o1 is smaller than o2, 0 if equal and +1 if greater.
- compare(Sorter.InstanceHolder, Sorter.InstanceHolder) - Method in class weka.knowledgeflow.steps.Sorter.SortRule
-
Compare two instances according to the rule
- COMPAREFUNCTION - Enum Class in weka.core.pmml.jaxbbindings
-
Java class for COMPARE-FUNCTION.
- compareTo(String) - Method in class weka.core.Version
-
checks the version of this class against the given version-string
- compareTo(AssociationRule) - Method in class weka.associations.AssociationRule
-
Compare this rule to the supplied rule.
- compareTo(Item) - Method in class weka.associations.Item
-
Ensures that items will be sorted in descending order of frequency.
- compareTo(SplitCandidate) - Method in class weka.classifiers.trees.ht.SplitCandidate
- compareTo(AttributeLocator) - Method in class weka.core.AttributeLocator
-
Compares this object with the specified object for order.
- compareTo(AbstractSetupPanel) - Method in class weka.gui.experiment.AbstractSetupPanel
-
Uses the name for comparison.
- compareTo(AbstractCommand) - Method in class weka.gui.simplecli.AbstractCommand
-
Performs comparison just on the name.
- compareTo(SortedTableModel.SortContainer) - Method in class weka.gui.SortedTableModel.SortContainer
-
Compares this object with the specified object for order.
- ComparisonMeasure - Class in weka.core.pmml.jaxbbindings
-
Java class for ComparisonMeasure element declaration.
- ComparisonMeasure() - Constructor for class weka.core.pmml.jaxbbindings.ComparisonMeasure
- Comparisons - Class in weka.core.pmml.jaxbbindings
-
Java class for Comparisons element declaration.
- Comparisons() - Constructor for class weka.core.pmml.jaxbbindings.Comparisons
- ComponentHelper - Class in weka.gui
-
A helper class for some common tasks with Dialogs, Icons, etc.
- ComponentHelper() - Constructor for class weka.gui.ComponentHelper
- componentHidden(ComponentEvent) - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
- componentMoved(ComponentEvent) - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
- componentResized(ComponentEvent) - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
- componentShown(ComponentEvent) - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
- CompoundPredicate - Class in weka.core.pmml.jaxbbindings
-
Java class for CompoundPredicate element declaration.
- CompoundPredicate() - Constructor for class weka.core.pmml.jaxbbindings.CompoundPredicate
- CompoundRule - Class in weka.core.pmml.jaxbbindings
-
Java class for CompoundRule element declaration.
- CompoundRule() - Constructor for class weka.core.pmml.jaxbbindings.CompoundRule
- compressOutputTipText() - Method in class weka.core.converters.ArffSaver
-
Returns the tip text for this property
- compressOutputTipText() - Method in class weka.core.converters.JSONSaver
-
Returns the tip text for this property.
- compressOutputTipText() - Method in class weka.core.converters.XRFFSaver
-
Returns the tip text for this property
- Compute - Interface in weka.experiment
-
Interface to something that can accept remote connections and execute a task.
- computeAttributeImportanceTipText() - Method in class weka.classifiers.trees.RandomForest
-
Returns the tip text for this property
- computeAverageImpurityDecreasePerAttribute(double[]) - Method in class weka.classifiers.trees.RandomForest
-
Computes the average impurity decrease per attribute over the trees
- computeMinMaxAtts() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Set up the bounds of our graphic based by finding the smallest reasonable area in the instance space to surround our data points.
- CON_AUX_DATA_BATCH_ASSOCIATION_RULES - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_CHART_DATA_POINT - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_CHART_LEGEND - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_CHART_MAX - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_CHART_MIN - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_CLASS_ATTRIBUTE - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_ENVIRONMENT_PROPERTIES - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_ENVIRONMENT_RESULTS - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_ENVIRONMENT_VARIABLES - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_GRAPH_TITLE - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_GRAPH_TYPE - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_INCREMENTAL_STREAM_END - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_INSTANCE - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_IS_INCREMENTAL - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_LABEL - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_MAX_SET_NUM - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_PRIMARY_PAYLOAD_NOT_THREAD_SAFE - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_SET_NUM - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_TEST_INSTANCE - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_TESTSET - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_TEXT_TITLE - Static variable in interface weka.knowledgeflow.StepManager
- CON_AUX_DATA_TRAININGSET - Static variable in interface weka.knowledgeflow.StepManager
- CON_BATCH_ASSOCIATOR - Static variable in interface weka.knowledgeflow.StepManager
- CON_BATCH_CLASSIFIER - Static variable in interface weka.knowledgeflow.StepManager
- CON_BATCH_CLUSTERER - Static variable in interface weka.knowledgeflow.StepManager
- CON_CHART - Static variable in interface weka.knowledgeflow.StepManager
- CON_DATASET - Static variable in interface weka.knowledgeflow.StepManager
- CON_ENVIRONMENT - Static variable in interface weka.knowledgeflow.StepManager
- CON_GRAPH - Static variable in interface weka.knowledgeflow.StepManager
- CON_IMAGE - Static variable in interface weka.knowledgeflow.StepManager
- CON_INCREMENTAL_CLASSIFIER - Static variable in interface weka.knowledgeflow.StepManager
- CON_INCREMENTAL_CLUSTERER - Static variable in interface weka.knowledgeflow.StepManager
- CON_INFO - Static variable in interface weka.knowledgeflow.StepManager
- CON_INSTANCE - Static variable in interface weka.knowledgeflow.StepManager
- CON_JOB_FAILURE - Static variable in interface weka.knowledgeflow.StepManager
- CON_JOB_SUCCESS - Static variable in interface weka.knowledgeflow.StepManager
- CON_TESTSET - Static variable in interface weka.knowledgeflow.StepManager
- CON_TEXT - Static variable in interface weka.knowledgeflow.StepManager
- CON_THRESHOLD_DATA - Static variable in interface weka.knowledgeflow.StepManager
- CON_TRAININGSET - Static variable in interface weka.knowledgeflow.StepManager
- CON_VISUALIZABLE_ERROR - Static variable in interface weka.knowledgeflow.StepManager
- Con1 - Class in weka.core.pmml.jaxbbindings
-
Java class for Con element declaration.
- Con1() - Constructor for class weka.core.pmml.jaxbbindings.Con1
- cond() - Method in class weka.core.matrix.Matrix
-
Matrix condition (2 norm)
- cond() - Method in class weka.core.matrix.SingularValueDecomposition
-
Two norm condition number
- ConditionalDensityEstimator - Interface in weka.classifiers
-
Interface for numeric prediction schemes that can output conditional density estimates.
- ConditionalEstimator - Interface in weka.estimators
-
Interface for conditional probability estimators.
- ConditionalSufficientStats - Class in weka.classifiers.trees.ht
-
Records sufficient stats for an attribute
- ConditionalSufficientStats() - Constructor for class weka.classifiers.trees.ht.ConditionalSufficientStats
- conditionForBranch(String) - Method in class weka.classifiers.trees.ht.Split
-
Returns the condition for the supplied branch name
- conditionForBranch(String) - Method in class weka.classifiers.trees.ht.UnivariateNominalMultiwaySplit
- conditionForBranch(String) - Method in class weka.classifiers.trees.ht.UnivariateNumericBinarySplit
- CONFERENCE - Enum constant in enum class weka.core.TechnicalInformation.Type
-
The same as inproceedings.
- CONFIDENCE - Enum constant in enum class weka.associations.DefaultAssociationRule.METRIC_TYPE
- CONFIDENCE - Enum constant in enum class weka.core.pmml.jaxbbindings.RULEFEATURE
- confidenceFactorTipText() - Method in class weka.classifiers.rules.PART
-
Returns the tip text for this property
- confidenceFactorTipText() - Method in class weka.classifiers.trees.J48
-
Returns the tip text for this property
- confidenceForRule(AprioriItemSet, AprioriItemSet) - Static method in class weka.associations.AprioriItemSet
-
Outputs the confidence for a rule.
- CONFIG - Static variable in class weka.core.Debug
-
the log level Vonfig
- ConfigurationEvent - Class in weka.gui.beans
-
Matching event for ConfigurationListener.
- ConfigurationEvent(Object) - Constructor for class weka.gui.beans.ConfigurationEvent
- ConfigurationListener - Interface in weka.gui.beans
-
Matching listener for ConfigurationEvent.
- ConfigurationProducer - Interface in weka.gui.beans
-
Marker interface for components that can share their configuration.
- configureRangeFromRangeStringOrAttributeNameList(Instances, String) - Static method in class weka.core.Utils
-
Returns a configured Range object given a 1-based range index string (such as 1-20,35,last) or a comma-separated list of attribute names.
- confusionMatrix() - Method in class weka.classifiers.Evaluation
-
Returns a copy of the confusion matrix.
- confusionMatrix() - Method in class weka.classifiers.evaluation.Evaluation
-
Returns a copy of the confusion matrix.
- ConfusionMatrix - Class in weka.classifiers.evaluation
-
Cells of this matrix correspond to counts of the number (or weight) of predictions for each actual value / predicted value combination.
- ConfusionMatrix - Class in weka.core.pmml.jaxbbindings
-
Java class for ConfusionMatrix element declaration.
- ConfusionMatrix() - Constructor for class weka.core.pmml.jaxbbindings.ConfusionMatrix
- ConfusionMatrix(String[]) - Constructor for class weka.classifiers.evaluation.ConfusionMatrix
-
Creates the confusion matrix with the given class names.
- ConjugateGradientOptimization - Class in weka.core
-
This subclass of Optimization.java implements conjugate gradient descent rather than BFGS updates, by overriding findArgmin(), with the same tests for convergence, and applies the same line search code.
- ConjugateGradientOptimization() - Constructor for class weka.core.ConjugateGradientOptimization
-
Constructor that sets MAXITS to 2000 by default and the parameter in the second weak Wolfe condition to 0.1.
- connect(NeuralConnection, NeuralConnection) - Static method in class weka.classifiers.functions.neural.NeuralConnection
-
Connects two units together.
- CONNECT - Static variable in class weka.gui.sql.event.ConnectionEvent
-
it was a connect try
- CONNECTED - Static variable in class weka.classifiers.functions.neural.NeuralConnection
-
This flag is set once the unit has a connection.
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractDataSink
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractEvaluator
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractTestSetProducer
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractTrainingSetProducer
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Appender
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Associator
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in interface weka.gui.beans.BeanCommon
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.ClassAssigner
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Classifier
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.ClassValuePicker
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Clusterer
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.CostBenefitAnalysis
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.DataVisualizer
-
Returns true if, at this time, the object will accept a connection via the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Filter
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.FlowByExpression
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.ImageSaver
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.ImageViewer
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Join
-
Returns true if the named connection can be made at this time
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Loader
-
Returns true if, at this time, the object will accept a connection via the supplied EventSetDescriptor.
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.MetaBean
-
Returns true if, at this time, the object will accept a connection with respect to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.ModelPerformanceChart
-
Returns true if, at this time, the object will accept a connection via the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.PredictionAppender
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.SerializedModelSaver
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor.
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Sorter
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.StripChart
-
Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.SubstringLabeler
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.SubstringReplacer
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.TextSaver
- connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.TextViewer
-
Returns true if, at this time, the object will accept a connection via the supplied EventSetDescriptor
- connectionAllowed(String) - Method in class weka.gui.beans.AbstractDataSink
-
Returns true if, at this time, the object will accept a connection according to the supplied event name
- connectionAllowed(String) - Method in class weka.gui.beans.AbstractEvaluator
-
Returns true if, at this time, the object will accept a connection according to the supplied event name
- connectionAllowed(String) - Method in class weka.gui.beans.AbstractTestSetProducer
-
Returns true if, at this time, the object will accept a connection according to the supplied event name
- connectionAllowed(String) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
-
Returns true if, at this time, the object will accept a connection according to the supplied event name
- connectionAllowed(String) - Method in class weka.gui.beans.AbstractTrainingSetProducer
-
Returns true if, at this time, the object will accept a connection according to the supplied event name
- connectionAllowed(String) - Method in class weka.gui.beans.Appender
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionAllowed(String) - Method in class weka.gui.beans.Associator
-
Returns true if, at this time, the object will accept a connection with respect to the named event
- connectionAllowed(String) - Method in interface weka.gui.beans.BeanCommon
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionAllowed(String) - Method in class weka.gui.beans.ClassAssigner
-
Returns true if, at this time, the object will accept a connection according to the supplied event name
- connectionAllowed(String) - Method in class weka.gui.beans.Classifier
-
Returns true if, at this time, the object will accept a connection with respect to the named event
- connectionAllowed(String) - Method in class weka.gui.beans.ClassValuePicker
-
Returns true if, at this time, the object will accept a connection according to the supplied event name
- connectionAllowed(String) - Method in class weka.gui.beans.Clusterer
-
Returns true if, at this time, the object will accept a connection with respect to the named event
- connectionAllowed(String) - Method in class weka.gui.beans.CostBenefitAnalysis
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionAllowed(String) - Method in class weka.gui.beans.DataVisualizer
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionAllowed(String) - Method in class weka.gui.beans.Filter
-
Returns true if, at this time, the object will accept a connection with respect to the supplied event name
- connectionAllowed(String) - Method in class weka.gui.beans.FlowByExpression
- connectionAllowed(String) - Method in class weka.gui.beans.ImageSaver
- connectionAllowed(String) - Method in class weka.gui.beans.ImageViewer
- connectionAllowed(String) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
-
Returns true if, at this time, the object will accept a connection with respect to the named event
- connectionAllowed(String) - Method in class weka.gui.beans.Join
-
Returns true if the named connection can be made at this time
- connectionAllowed(String) - Method in class weka.gui.beans.Loader
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionAllowed(String) - Method in class weka.gui.beans.MetaBean
- connectionAllowed(String) - Method in class weka.gui.beans.ModelPerformanceChart
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionAllowed(String) - Method in class weka.gui.beans.PredictionAppender
-
Returns true if, at this time, the object will accept a connection according to the supplied event name
- connectionAllowed(String) - Method in class weka.gui.beans.SerializedModelSaver
-
Returns true if, at this time, the object will accept a connection according to the supplied event name.
- connectionAllowed(String) - Method in class weka.gui.beans.Sorter
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionAllowed(String) - Method in class weka.gui.beans.StripChart
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionAllowed(String) - Method in class weka.gui.beans.SubstringLabeler
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionAllowed(String) - Method in class weka.gui.beans.SubstringReplacer
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionAllowed(String) - Method in class weka.gui.beans.TextSaver
- connectionAllowed(String) - Method in class weka.gui.beans.TextViewer
-
Returns true if, at this time, the object will accept a connection via the named event
- connectionChange(ConnectionEvent) - Method in interface weka.gui.sql.event.ConnectionListener
-
This method gets called when the connection is either established or disconnected.
- connectionChange(ConnectionEvent) - Method in class weka.gui.sql.QueryPanel
-
This method gets called when the connection is either established or disconnected.
- connectionChange(ConnectionEvent) - Method in class weka.gui.sql.SqlViewer
-
This method gets called when the connection is either established or disconnected.
- ConnectionEvent - Class in weka.gui.sql.event
-
An event that is generated when a connection is established or dropped.
- ConnectionEvent(Object, int, DbUtils) - Constructor for class weka.gui.sql.event.ConnectionEvent
-
constructs the event
- ConnectionEvent(Object, int, DbUtils, Exception) - Constructor for class weka.gui.sql.event.ConnectionEvent
-
constructs the event
- ConnectionListener - Interface in weka.gui.sql.event
-
A listener for connect/disconnect events.
- connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractDataSink
-
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
- connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractEvaluator
-
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
- connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractTestSetProducer
-
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
- connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
-
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
- connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractTrainingSetProducer
-
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
- connectionNotification(String, Object) - Method in class weka.gui.beans.Appender
-
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
- connectionNotification(String, Object) - Method in class weka.gui.beans.Associator
-
Notify this object that it has been registered as a listener with a source with respect to the named event
- connectionNotification(String, Object) - Method in interface weka.gui.beans.BeanCommon
-
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
- connectionNotification(String, Object) - Method in class weka.gui.beans.ClassAssigner
-
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
- connectionNotification(String, Object) - Method in class weka.gui.beans.Classifier
-
Notify this object that it has been registered as a listener with a source with respect to the named event
- connectionNotification(String, Object) - Method in class weka.gui.beans.ClassValuePicker
-
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
- connectionNotification(String, Object) - Method in class weka.gui.beans.Clusterer
-
Notify this object that it has been registered as a listener with a source with respect to the named event
- connectionNotification(String, Object) - Method in interface weka.gui.beans.ConnectionNotificationConsumer
-
Notify this object that it has been registered as a listener with a source with respect to the supplied event name.
- connectionNotification(String, Object) - Method in class weka.gui.beans.CostBenefitAnalysis
-
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
- connectionNotification(String, Object) - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
- connectionNotification(String, Object) - Method in class weka.gui.beans.DataVisualizer
-
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
- connectionNotification(String, Object) - Method in class weka.gui.beans.Filter
-
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
- connectionNotification(String, Object) - Method in class weka.gui.beans.FlowByExpression
- connectionNotification(String, Object) - Method in class weka.gui.beans.ImageSaver
- connectionNotification(String, Object) - Method in class weka.gui.beans.ImageViewer
- connectionNotification(String, Object) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
-
Notify this object that it has been registered as a listener with a source with respect to the named event
- connectionNotification(String, Object) - Method in class weka.gui.beans.Join
-
Deals with a new connection
- connectionNotification(String, Object) - Method in class weka.gui.beans.Loader
-
Notify this object that it has been registered as a listener with a source for receiving events described by the named event This object is responsible for recording this fact.
- connectionNotification(String, Object) - Method in class weka.gui.beans.MetaBean
-
Notify this object that it has been registered as a listener with a source with respect to the named event.
- connectionNotification(String, Object) - Method in class weka.gui.beans.ModelPerformanceChart
-
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
- connectionNotification(String, Object) - Method in class weka.gui.beans.PredictionAppender
-
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
- connectionNotification(String, Object) - Method in class weka.gui.beans.SerializedModelSaver
-
Notify this object that it has been registered as a listener with a source with respect to the supplied event name.
- connectionNotification(String, Object) - Method in class weka.gui.beans.Sorter
-
Notify this object that it has been registered as a listener with a source for receiving events described by the named event This object is responsible for recording this fact.
- connectionNotification(String, Object) - Method in class weka.gui.beans.StripChart
-
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
- connectionNotification(String, Object) - Method in class weka.gui.beans.SubstringLabeler
-
Notify this object that it has been registered as a listener with a source for receiving events described by the named event This object is responsible for recording this fact.
- connectionNotification(String, Object) - Method in class weka.gui.beans.SubstringReplacer
-
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
- connectionNotification(String, Object) - Method in class weka.gui.beans.TextSaver
- connectionNotification(String, Object) - Method in class weka.gui.beans.TextViewer
-
Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
- connectionNotification(String, Object) - Method in class weka.gui.beans.TrainTestSplitMaker
-
Notify this object that it has been registered as a listener with a source with respect to the supplied event name
- ConnectionNotificationConsumer - Interface in weka.gui.beans
-
Interface for Beans that can receive (dis-)connection events generated when (dis-)connecting data processing nodes in the Weka KnowledgeFlow.
- ConnectionPanel - Class in weka.gui.sql
-
Enables the user to insert a database URL, plus user/password to connect to this database.
- ConnectionPanel(JFrame) - Constructor for class weka.gui.sql.ConnectionPanel
-
initializes the panel.
- CONNECTIONS - Static variable in class weka.knowledgeflow.JSONFlowUtils
- connectSteps(StepManagerImpl, StepManagerImpl, String) - Method in class weka.gui.knowledgeflow.VisibleLayout
-
Connect the supplied source step to the supplied target step using the specified connection type
- connectSteps(StepManagerImpl, StepManagerImpl, String) - Method in class weka.knowledgeflow.Flow
-
Connect the supplied source and target steps using the given connectionType.
- connectSteps(StepManagerImpl, StepManagerImpl, String, boolean) - Method in class weka.knowledgeflow.Flow
-
Connect the supplied source and target steps using the given connectionType.
- connectToDatabase() - Method in class weka.core.converters.DatabaseLoader
-
Opens a connection to the database
- connectToDatabase() - Method in class weka.core.converters.DatabaseSaver
-
Opens a connection to the database.
- connectToDatabase() - Method in class weka.experiment.DatabaseUtils
-
Opens a connection to the database.
- CONSEQUENT - Enum constant in enum class weka.core.pmml.jaxbbindings.RULEFEATURE
- ConsequentSequence - Class in weka.core.pmml.jaxbbindings
-
Java class for ConsequentSequence element declaration.
- ConsequentSequence() - Constructor for class weka.core.pmml.jaxbbindings.ConsequentSequence
- conservativeForwardSelectionTipText() - Method in class weka.attributeSelection.GreedyStepwise
-
Returns the tip text for this property
- ConsoleLogger - Class in weka.core.logging
-
A simple logger that outputs the logging information in the console.
- ConsoleLogger() - Constructor for class weka.core.logging.ConsoleLogger
- CONST - Static variable in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
-
Constant for Gaussian density.
- CONST - Static variable in class weka.estimators.UnivariateKernelEstimator
-
Constant for Gaussian density.
- CONST - Static variable in class weka.estimators.UnivariateNormalEstimator
-
Constant for Gaussian density
- CONST_AUTOMATIC_SHAPE - Static variable in class weka.gui.visualize.Plot2D
- Constant - Class in weka.core.pmml
-
Class encapsulating a Constant Expression.
- Constant - Class in weka.core.pmml.jaxbbindings
-
Java class for Constant element declaration.
- Constant() - Constructor for class weka.core.pmml.jaxbbindings.Constant
- Constant(Element, FieldMetaInfo.Optype, ArrayList<Attribute>) - Constructor for class weka.core.pmml.Constant
-
Construct an new Constant Expression.
- CONSTANT - Static variable in class weka.classifiers.lazy.LWL
- Constraints - Class in weka.core.pmml.jaxbbindings
-
Java class for Constraints element declaration.
- Constraints() - Constructor for class weka.core.pmml.jaxbbindings.Constraints
- constructMappedInstance(Instance) - Method in class weka.classifiers.misc.InputMappedClassifier
- constructWithCopy(double[][]) - Static method in class weka.core.matrix.Matrix
-
Construct a matrix from a copy of a 2-D array.
- containChildBallsTipText() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Returns the tip text for this property.
- containedBy(Instance) - Method in class weka.associations.ItemSet
-
Checks if an instance contains an item set.
- containedByTreatZeroAsMissing(Instance) - Method in class weka.associations.ItemSet
-
Checks if an instance contains an item set.
- contains(double) - Method in class weka.core.pmml.Array
-
Returns true if the array contains this real value.
- contains(float) - Method in class weka.core.pmml.Array
-
Returns true if the array contains this real value.
- contains(int) - Method in class weka.classifiers.bayes.net.ParentSet
-
test if node is contained in parent set
- contains(int) - Method in class weka.classifiers.functions.supportVector.SMOset
-
Checks whether an element is in the set.
- contains(int) - Method in class weka.core.pmml.Array
-
Returns true if the array contains this integer value.
- contains(PrintStream) - Method in class weka.core.Tee
-
checks whether the given PrintStream is already in the list.
- contains(Class<?>) - Method in class weka.core.xml.MethodHandler
-
checks whether a method is stored for the given class
- contains(Object) - Method in class weka.core.Trie
-
Returns true if this collection contains the specified element.
- contains(Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
-
Tests whether the specified object is a component in this list.
- contains(String) - Method in class weka.core.pmml.Array
-
Returns true if the array contains this string value.
- contains(String) - Method in class weka.core.Trie.TrieNode
-
checks whether a suffix can be found in its children
- contains(String) - Method in class weka.core.xml.MethodHandler
-
checks whether a method is stored for the given property
- contains(String) - Method in class weka.gui.HierarchyPropertyParser
-
Whether the HierarchyPropertyParser contains the given string
- CONTAINS - Enum constant in enum class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause.ExpressionType
- containsAll(Collection<?>) - Method in class weka.core.Trie
-
Returns true if this collection contains all of the elements in the specified collection.
- containsEnvVariables(String) - Static method in class weka.core.Environment
-
Tests for the presence of environment variables.
- containsItems(ArrayList<Item>, boolean) - Method in class weka.associations.AssociationRule
- containsKey(double) - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
-
Tests if the specified double is a key in this hashtable.
- containsKey(double) - Method in class weka.classifiers.lazy.kstar.KStarCache
-
Checks if the specified key maps with an entry in the cache table
- containsPrefix(String) - Method in class weka.core.Trie
-
checks whether the given prefix is stored in the trie
- containsValue(double) - Method in class weka.core.pmml.FieldMetaInfo.Interval
-
Returns true if this interval contains the supplied value.
- containsWindow(Class<?>) - Method in class weka.gui.Main
-
checks, whether an instance of the given window class is already in the Window list.
- containsWindow(String) - Method in class weka.gui.Main
-
checks, whether a window with the given title is already in the Window list.
- CONTENTS - Enum constant in enum class weka.core.TechnicalInformation.Field
-
A Table of Contents.
- context() - Method in class weka.gui.HierarchyPropertyParser
-
The context of the current node, i.e.
- ContingencyTables - Class in weka.core
-
Class implementing some statistical routines for contingency tables.
- ContingencyTables() - Constructor for class weka.core.ContingencyTables
- CONTINUOUS - Enum constant in enum class weka.core.pmml.FieldMetaInfo.Optype
- CONTINUOUS - Enum constant in enum class weka.core.pmml.jaxbbindings.OPTYPE
- CONTINUOUS - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
-
cluster subtype: continuous
- CONTSCORINGMETHOD - Enum Class in weka.core.pmml.jaxbbindings
-
Java class for CONT-SCORING-METHOD.
- ContStats - Class in weka.core.pmml.jaxbbindings
-
Java class for ContStats element declaration.
- ContStats() - Constructor for class weka.core.pmml.jaxbbindings.ContStats
- ConverterFileChooser - Class in weka.gui
-
A specialized JFileChooser that lists all available file Loaders and Savers.
- ConverterFileChooser() - Constructor for class weka.gui.ConverterFileChooser
-
onstructs a FileChooser pointing to the user's default directory.
- ConverterFileChooser(File) - Constructor for class weka.gui.ConverterFileChooser
-
Constructs a FileChooser using the given File as the path.
- ConverterFileChooser(String) - Constructor for class weka.gui.ConverterFileChooser
-
Constructs a FileChooser using the given path.
- ConverterResources - Class in weka.core.converters
-
Helper class for dealing with Converter resources.
- ConverterResources() - Constructor for class weka.core.converters.ConverterResources
- ConverterUtils - Class in weka.core.converters
-
Utility routines for the converter package.
- ConverterUtils() - Constructor for class weka.core.converters.ConverterUtils
- ConverterUtils.DataSink - Class in weka.core.converters
-
Helper class for saving data to files.
- ConverterUtils.DataSource - Class in weka.core.converters
-
Helper class for loading data from files and URLs.
- convertInstance(Instance) - Method in interface weka.attributeSelection.AttributeTransformer
-
Transforms an instance in the format of the original data to the transformed space
- convertInstance(Instance) - Method in class weka.attributeSelection.PrincipalComponents
-
Transform an instance in original (unormalized) format.
- convertNewLines(String) - Static method in class weka.core.Utils
-
Converts carriage returns and new lines in a string into \r and \n.
- convertNominalTipText() - Method in class weka.classifiers.trees.LMT
-
Returns the tip text for this property
- convertNumericAttToNominal(int, ArrayList<String>) - Method in class weka.core.pmml.MiningSchema
-
Convert a numeric attribute in the mining schema to nominal.
- convertStringAttsToNominal() - Method in class weka.core.pmml.MiningSchema
-
Method to convert any string attributes in the mining schema Instances to nominal attributes.
- convertToAttribX(double) - Method in class weka.gui.visualize.Plot2D
-
convert a Panel x coordinate to a raw x value.
- convertToAttribY(double) - Method in class weka.gui.visualize.Plot2D
-
convert a Panel y coordinate to a raw y value.
- convertToPanelX(double) - Method in class weka.gui.visualize.Plot2D
-
Convert an raw x value to Panel x coordinate.
- convertToPanelY(double) - Method in class weka.gui.visualize.Plot2D
-
Convert an raw y value to Panel y coordinate.
- convertToRelativePath(File) - Static method in class weka.core.Utils
-
Converts a File's absolute path to a path relative to the user (ie start) directory.
- CONVICTION - Enum constant in enum class weka.associations.DefaultAssociationRule.METRIC_TYPE
- convictionForRule(AprioriItemSet, AprioriItemSet, int, int) - Method in class weka.associations.AprioriItemSet
-
Outputs the conviction for a rule.
- COORDINATES - Static variable in class weka.knowledgeflow.JSONFlowUtils
- copy() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
-
Return a shallow copy of this kernel
- copy() - Method in class weka.classifiers.rules.JRip.Antd
-
Implements Copyable
- copy() - Method in class weka.classifiers.rules.JRip.NominalAntd
-
Implements Copyable
- copy() - Method in class weka.classifiers.rules.JRip.NumericAntd
-
Implements Copyable
- copy() - Method in class weka.classifiers.rules.JRip.RipperRule
-
Get a shallow copy of this rule
- copy() - Method in class weka.classifiers.rules.Rule
-
Get a shallow copy of this rule
- copy() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
-
Makes a copy of this CorrelationSplitInfo object
- copy() - Method in interface weka.classifiers.trees.m5.SplitEvaluate
-
makes a copy of the SplitEvaluate object
- copy() - Method in class weka.classifiers.trees.m5.YongSplitInfo
-
Makes a copy of this SplitInfo object
- copy() - Method in class weka.core.Attribute
-
Produces a shallow copy of this attribute.
- copy() - Method in class weka.core.BinarySparseInstance
-
Produces a shallow copy of this instance.
- copy() - Method in interface weka.core.Copyable
-
This method produces a shallow copy of an object.
- copy() - Method in class weka.core.DenseInstance
-
Produces a shallow copy of this instance.
- copy() - Method in class weka.core.FastVector
-
Deprecated.Produces a shallow copy of this vector.
- copy() - Method in class weka.core.matrix.DoubleVector
-
Makes a deep copy of the vector
- copy() - Method in class weka.core.matrix.IntVector
-
Makes a deep copy of the vector
- copy() - Method in class weka.core.matrix.Matrix
-
Make a deep copy of a matrix
- copy() - Method in class weka.core.SparseInstance
-
Produces a shallow copy of this instance.
- copy(double[]) - Method in class weka.core.BinarySparseInstance
-
Copies the instance but fills up its values based on the given array of doubles.
- copy(double[]) - Method in class weka.core.DenseInstance
-
Copies the instance but fills up its values based on the given array of doubles.
- copy(double[]) - Method in interface weka.core.Instance
-
Copies the instance but fills up its values based on the given array of doubles.
- copy(double[]) - Method in class weka.core.SparseInstance
-
Copies the instance but fills up its values based on the given array of doubles.
- copy(File, File) - Static method in class weka.gui.scripting.ScriptUtils
-
Copies the file/directory (recursively).
- copy(String) - Method in class weka.core.Attribute
-
Produces a shallow copy of this attribute with a new name.
- copy(ParentSet) - Method in class weka.classifiers.bayes.net.ParentSet
-
Copy makes current parents set equal to other parent set
- Copy - Class in weka.filters.unsupervised.attribute
-
An instance filter that copies a range of attributes in the dataset.
- Copy() - Constructor for class weka.filters.unsupervised.attribute.Copy
- COPY_BUTTON - Enum constant in enum class weka.gui.knowledgeflow.MainKFPerspectiveToolBar.Widgets
- Copyable - Interface in weka.core
-
Interface implemented by classes that can produce "shallow" copies of their objects.
- copyArea(int, int, int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
-
Not implemented
- copyContent() - Method in class weka.gui.arffviewer.ArffPanel
-
copies the content of the selection to the clipboard
- copyContent() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
copies the content of the selection to the clipboard
- copyElements() - Method in class weka.core.FastVector
-
Deprecated.Clones the vector and shallow copies all its elements.
- copyFlow() - Method in class weka.knowledgeflow.Flow
-
Make a copy of this Flow
- copyFlowToClipboard(Flow) - Method in class weka.gui.knowledgeflow.MainKFPerspective
- copyInto(Object[]) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
-
Copies the components of this list into the specified array.
- copyRelationalValues(Instance, boolean, Instances, AttributeLocator, Instances, AttributeLocator) - Static method in class weka.core.RelationalLocator
-
Takes relational values referenced by an Instance and copies them from a source dataset to a destination dataset.
- copyRelationalValues(Instance, Instances, AttributeLocator) - Static method in class weka.core.RelationalLocator
-
Copies relational values contained in the instance copied to a new dataset.
- Copyright - Class in weka.core
-
A class for providing centralized Copyright information.
- Copyright() - Constructor for class weka.core.Copyright
- COPYRIGHT - Enum constant in enum class weka.core.TechnicalInformation.Field
-
Copyright information.
- copyStepsToClipboard(List<StepVisual>) - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Copy the supplied steps to the clipboard
- copyStringValues(Instance, boolean, Instances, AttributeLocator, Instances, AttributeLocator) - Static method in class weka.core.StringLocator
-
Takes string values referenced by an Instance and copies them from a source dataset to a destination dataset.
- copyStringValues(Instance, Instances, AttributeLocator) - Static method in class weka.core.StringLocator
-
Copies string values contained in the instance copied to a new dataset.
- copyToBuffer(Vector<Object>) - Method in class weka.gui.beans.KnowledgeFlowApp
-
Utility routine that serializes the supplied Vector of BeanInstances to XML
- copyToClipboard() - Method in class weka.gui.sql.InfoPanel
-
copies the currently selected error message to the clipboard
- CORE_FILE_LOADERS - Static variable in class weka.core.converters.ConverterResources
-
the core loaders - hardcoded list necessary for RMI/Remote Experiments (comma-separated list).
- CORE_FILE_SAVERS - Static variable in class weka.core.converters.ConverterResources
-
the core savers - hardcoded list necessary for RMI/Remote Experiments (comma-separated list).
- correct() - Method in class weka.classifiers.evaluation.ConfusionMatrix
-
Gets the number of correct classifications (that is, for which a correct prediction was made).
- correct() - Method in class weka.classifiers.Evaluation
-
Gets the number of instances correctly classified (that is, for which a correct prediction was made).
- correct() - Method in class weka.classifiers.evaluation.Evaluation
-
Gets the number of instances correctly classified (that is, for which a correct prediction was made).
- correlation - Variable in class weka.experiment.PairedStats
-
The correlation coefficient
- correlation(double[], double[], int) - Static method in class weka.core.Utils
-
Returns the correlation coefficient of two double vectors.
- CorrelationAttributeEval - Class in weka.attributeSelection
-
CorrelationAttributeEval :
Evaluates the worth of an attribute by measuring the correlation (Pearson's) between it and the class.
Nominal attributes are considered on a value by value basis by treating each value as an indicator. - CorrelationAttributeEval() - Constructor for class weka.attributeSelection.CorrelationAttributeEval
- correlationCoefficient() - Method in class weka.classifiers.Evaluation
-
Returns the correlation coefficient if the class is numeric.
- correlationCoefficient() - Method in class weka.classifiers.evaluation.Evaluation
-
Returns the correlation coefficient if the class is numeric.
- CorrelationFields - Class in weka.core.pmml.jaxbbindings
-
Java class for CorrelationFields element declaration.
- CorrelationFields() - Constructor for class weka.core.pmml.jaxbbindings.CorrelationFields
- CorrelationMethods - Class in weka.core.pmml.jaxbbindings
-
Java class for CorrelationMethods element declaration.
- CorrelationMethods() - Constructor for class weka.core.pmml.jaxbbindings.CorrelationMethods
- Correlations - Class in weka.core.pmml.jaxbbindings
-
Java class for Correlations element declaration.
- Correlations() - Constructor for class weka.core.pmml.jaxbbindings.Correlations
- CorrelationSplitInfo - Class in weka.classifiers.trees.m5
-
Finds split points using correlation.
- CorrelationSplitInfo(int, int, int) - Constructor for class weka.classifiers.trees.m5.CorrelationSplitInfo
-
Constructs an object which contains the split information
- CorrelationValues - Class in weka.core.pmml.jaxbbindings
-
Java class for CorrelationValues element declaration.
- CorrelationValues() - Constructor for class weka.core.pmml.jaxbbindings.CorrelationValues
- COSINE - Enum constant in enum class weka.core.pmml.jaxbbindings.ACTIVATIONFUNCTION
- CostBenefitAnalysis - Class in weka.gui.beans
-
Bean that aids in analyzing cost/benefit tradeoffs.
- CostBenefitAnalysis - Class in weka.knowledgeflow.steps
-
Step for storing and viewing threshold data in a cost-benefit visualization
- CostBenefitAnalysis() - Constructor for class weka.gui.beans.CostBenefitAnalysis
-
Constructor.
- CostBenefitAnalysis() - Constructor for class weka.knowledgeflow.steps.CostBenefitAnalysis
- CostBenefitAnalysisBeanInfo - Class in weka.gui.beans
-
Bean info class for the cost/benefit analysis
- CostBenefitAnalysisBeanInfo() - Constructor for class weka.gui.beans.CostBenefitAnalysisBeanInfo
- CostBenefitAnalysisInteractiveView - Class in weka.gui.knowledgeflow.steps
-
Interactive view for the CostBenefitAnalysis step
- CostBenefitAnalysisInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.CostBenefitAnalysisInteractiveView
- CostBenefitAnalysisPanel - Class in weka.gui
-
Panel for displaying the cost-benefit plots and all control widgets.
- CostBenefitAnalysisPanel() - Constructor for class weka.gui.CostBenefitAnalysisPanel
- CostCurve - Class in weka.classifiers.evaluation
-
Generates points illustrating probablity cost tradeoffs that can be obtained by varying the threshold value between classes.
- CostCurve() - Constructor for class weka.classifiers.evaluation.CostCurve
- CostMatrix - Class in weka.classifiers
-
Class for storing and manipulating a misclassification cost matrix.
- CostMatrix(int) - Constructor for class weka.classifiers.CostMatrix
-
Creates a default cost matrix of a particular size.
- CostMatrix(Reader) - Constructor for class weka.classifiers.CostMatrix
-
Reads a matrix from a reader.
- CostMatrix(CostMatrix) - Constructor for class weka.classifiers.CostMatrix
-
Creates a cost matrix that is a copy of another.
- CostMatrixEditor - Class in weka.gui
-
Class for editing CostMatrix objects.
- CostMatrixEditor() - Constructor for class weka.gui.CostMatrixEditor
-
Constructs a new CostMatrixEditor.
- costMatrixSourceTipText() - Method in class weka.classifiers.meta.CostSensitiveClassifier
- costMatrixTipText() - Method in class weka.classifiers.meta.CostSensitiveClassifier
- CostSensitiveClassifier - Class in weka.classifiers.meta
-
A metaclassifier that makes its base classifier cost sensitive.
- CostSensitiveClassifier() - Constructor for class weka.classifiers.meta.CostSensitiveClassifier
-
Default constructor.
- CostSensitiveClassifierSplitEvaluator - Class in weka.experiment
-
SplitEvaluator that produces results for a classification scheme on a nominal class attribute, including weighted misclassification costs.
- CostSensitiveClassifierSplitEvaluator() - Constructor for class weka.experiment.CostSensitiveClassifierSplitEvaluator
- count - Variable in class weka.experiment.PairedStats
-
The number of data points seen
- count - Variable in class weka.experiment.Stats
-
The number of values seen
- Count(double) - Constructor for class weka.classifiers.functions.SGDText.Count
- countData() - Method in class weka.classifiers.rules.RuleStats
-
Filter the data according to the ruleset and compute the basic stats: coverage/uncoverage, true/false positive/negatives of each rule
- countData(int, Instances, double[][]) - Method in class weka.classifiers.rules.RuleStats
-
Count data from the position index in the ruleset assuming that given data are not covered by the rules in position 0...(index-1), and the statistics of these rules are provided.
This procedure is typically useful when a temporary object of RuleStats is constructed in order to efficiently calculate the relative DL of rule in position index, thus all other stuff is not needed. - counter() - Method in class weka.associations.ItemSet
-
Gets the counter
- Counts - Class in weka.core.pmml.jaxbbindings
-
Java class for Counts element declaration.
- Counts() - Constructor for class weka.core.pmml.jaxbbindings.Counts
- countsForInstance(Instance) - Method in class weka.classifiers.bayes.BayesNet
-
Calculates the counts for Dirichlet distribution for the class membership probabilities for the given test instance.
- COUNTTABLETYPE - Class in weka.core.pmml.jaxbbindings
-
Java class for COUNT-TABLE-TYPE complex type.
- COUNTTABLETYPE() - Constructor for class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
- countWidthTipText() - Method in class weka.experiment.ResultMatrix
-
Returns the tip text for this property.
- Covariances - Class in weka.core.pmml.jaxbbindings
-
Java class for Covariances element declaration.
- Covariances() - Constructor for class weka.core.pmml.jaxbbindings.Covariances
- CovariateList - Class in weka.core.pmml.jaxbbindings
-
Java class for CovariateList element declaration.
- CovariateList() - Constructor for class weka.core.pmml.jaxbbindings.CovariateList
- coverageOfTestCasesByPredictedRegions() - Method in class weka.classifiers.Evaluation
-
Gets the coverage of the test cases by the predicted regions at the confidence level specified when evaluation was performed.
- coverageOfTestCasesByPredictedRegions() - Method in class weka.classifiers.evaluation.Evaluation
-
Gets the coverage of the test cases by the predicted regions at the confidence level specified when evaluation was performed.
- covers(Instance) - Method in class weka.classifiers.rules.JRip.Antd
- covers(Instance) - Method in class weka.classifiers.rules.JRip.NominalAntd
-
Whether the instance is covered by this antecedent
- covers(Instance) - Method in class weka.classifiers.rules.JRip.NumericAntd
-
Whether the instance is covered by this antecedent
- covers(Instance) - Method in class weka.classifiers.rules.JRip.RipperRule
-
Whether the instance covered by this rule
- covers(Instance) - Method in class weka.classifiers.rules.Rule
-
Whether the instance covered by this rule
- CoverTree - Class in weka.core.neighboursearch
-
Class implementing the CoverTree datastructure.
The class is very much a translation of the c source code made available by the authors.
For more information and original source code see:
Alina Beygelzimer, Sham Kakade, John Langford: Cover trees for nearest neighbor. - CoverTree() - Constructor for class weka.core.neighboursearch.CoverTree
-
default constructor.
- CoverTree.CoverTreeNode - Class in weka.core.neighboursearch
-
class representing a node of the cover tree.
- CoverTreeNode() - Constructor for class weka.core.neighboursearch.CoverTree.CoverTreeNode
-
Constructor for the class.
- CoverTreeNode(Integer, double, double, Stack<CoverTree.CoverTreeNode>, int, int) - Constructor for class weka.core.neighboursearch.CoverTree.CoverTreeNode
-
Constructor.
- CramersV(double[][]) - Static method in class weka.core.ContingencyTables
-
Computes Cramer's V for a contingency table.
- create() - Static method in class weka.core.packageManagement.PackageManager
- create() - Method in class weka.gui.visualize.PostscriptGraphics
-
Clone a PostscriptGraphics object
- create(Reader) - Method in class weka.gui.treevisualizer.TreeBuild
-
This will build A node structure from the dotty format passed.
- create(List<Object>, List<Integer>) - Static method in class weka.core.pmml.Array
- create(Element) - Static method in class weka.core.pmml.Array
-
Static factory method for creating non-sparse or sparse array types as needed.
- createAggregate() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Aggregate
- createAlternate() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Alternate
- createAnnotation() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Annotation
- createAnova() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Anova
- createAnovaRow() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
AnovaRow
- createAntecedentSequence() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
AntecedentSequence
- createAnyDistribution() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
AnyDistribution
- createApplication() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Application
- createApply() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Apply
- createARIMA(Object) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
- createArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
- createArrayType() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ArrayType
- createAssociationModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
AssociationModel
- createAssociationRule() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
AssociationRule
- createAttribute() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Attribute
- createBaseCumHazardTables() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
BaseCumHazardTables
- createBaseline() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Baseline
- createBaselineCell() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
BaselineCell
- createBaselineModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
BaselineModel
- createBaselineStratum() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
BaselineStratum
- createBayesInput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
BayesInput
- createBayesInputs() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
BayesInputs
- createBayesOutput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
BayesOutput
- createBinarySimilarity() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
BinarySimilarity
- createBoundaryValueMeans() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
BoundaryValueMeans
- createBoundaryValues() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
BoundaryValues
- createCategoricalPredictor() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
CategoricalPredictor
- createCategories() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Categories
- createCategory() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Category
- createCharacteristic() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Characteristic
- createCharacteristics() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Characteristics
- createChebychev() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Chebychev
- createChildParent() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ChildParent
- createCityBlock() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
CityBlock
- createClassLabels() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ClassLabels
- createCluster() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Cluster
- createClusteringField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ClusteringField
- createClusteringModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ClusteringModel
- createClusteringModelQuality() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ClusteringModelQuality
- createCoefficient() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Coefficient
- createCoefficients() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Coefficients
- createComparisonMeasure() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ComparisonMeasure
- createComparisons() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Comparisons
- createCompoundPredicate() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
CompoundPredicate
- createCompoundRule() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
CompoundRule
- createCon() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Con1
- createConfusionMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ConfusionMatrix
- createConsequentSequence() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ConsequentSequence
- createConstant() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Constant
- createConstraints() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Constraints
- createContStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ContStats
- createCorrelationFields() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
CorrelationFields
- createCorrelationMethods() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
CorrelationMethods
- createCorrelations() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Correlations
- createCorrelationValues() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
CorrelationValues
- createCounts() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Counts
- createCountTable(COUNTTABLETYPE) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
- createCOUNTTABLETYPE() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
COUNTTABLETYPE
- createCovariances() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Covariances
- createCovariateList() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
CovariateList
- createDataDictionary() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
DataDictionary
- createDataField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
DataField
- createDecision() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Decision
- createDecisions() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Decisions
- createDecisionTree() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
DecisionTree
- createDefineFunction() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
DefineFunction
- createDelimiter() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Delimiter
- createDerivedField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
DerivedField
- createDiscretize() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Discretize
- createDiscretizeBin() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
DiscretizeBin
- createDiscrStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
DiscrStats
- createDocumentTermMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
DocumentTermMatrix
- createEuclidean() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Euclidean
- createEventValues() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
EventValues
- createExperimentIndex() - Method in class weka.experiment.DatabaseUtils
-
Attempts to create the experiment index table.
- createExperimentIndexEntry(ResultProducer) - Method in class weka.experiment.DatabaseUtils
-
Attempts to insert a results entry for the table into the experiment index.
- createExponentialSmoothing() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ExponentialSmoothing
- createExtension() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Extension
- createFactorList() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
FactorList
- createFalse() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
False
- createFieldColumnPair() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
FieldColumnPair
- createFieldRef() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
FieldRef
- createFieldValue() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
FieldValue
- createFieldValueCount() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
FieldValueCount
- createGaussianDistribution() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
GaussianDistribution
- createGeneralRegressionModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
GeneralRegressionModel
- createHeader() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Header
- createIndices(List<Integer>) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
- createInlineTable() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
InlineTable
- createInstanceField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
InstanceField
- createInstanceFields() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
InstanceFields
- createINTEntries(List<Integer>) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
- createInterval() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Interval
- createINTSparseArray() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
INTSparseArray
- createItem() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Item
- createItemRef() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ItemRef
- createItemset() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Itemset
- createJaccard() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Jaccard
- createKNNInput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
KNNInput
- createKNNInputs() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
KNNInputs
- createKohonenMap() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
KohonenMap
- createLevel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Level
- createLiftData() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
LiftData
- createLiftGraph() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
LiftGraph
- createLinearKernelType() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
LinearKernelType
- createLinearNorm() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
LinearNorm
- createLink(String, String) - Static method in class weka.gui.BrowserHelper
-
Generates a label with a clickable link.
- createLocalTransformations() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
LocalTransformations
- createMapValues() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
MapValues
- createMatCell() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
MatCell
- createMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Matrix
- createMiningBuildTask() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
MiningBuildTask
- createMiningField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
MiningField
- createMiningModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
MiningModel
- createMiningSchema() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
MiningSchema
- createMinkowski() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Minkowski
- createMissingValueWeights() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
MissingValueWeights
- createModelExplanation() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ModelExplanation
- createModelLiftGraph() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ModelLiftGraph
- createModelStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ModelStats
- createModelVerification() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ModelVerification
- createMultivariateStat() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
MultivariateStat
- createMultivariateStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
MultivariateStats
- createNaiveBayesModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
NaiveBayesModel
- createNamedIndexedStore(String) - Method in class weka.knowledgeflow.steps.PairedDataHelper
-
Create a indexed store with a given name
- createNearestNeighborModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
NearestNeighborModel
- createNeuralInput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
NeuralInput
- createNeuralInputs() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
NeuralInputs
- createNeuralLayer() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
NeuralLayer
- createNeuralNetwork() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
NeuralNetwork
- createNeuralOutput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
NeuralOutput
- createNeuralOutputs() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
NeuralOutputs
- createNeuron() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Neuron
- createNewVisualizerWindow(Classifier, Instances) - Static method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
-
Creates a new GUI window with all of the BoundaryVisualizer trappings,
- createNode() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Node
- createNormalizedCountTable(COUNTTABLETYPE) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
- createNormContinuous() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
NormContinuous
- createNormDiscrete() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
NormDiscrete
- createNumericInfo() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
NumericInfo
- createNumericPredictor() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
NumericPredictor
- createOptimumLiftGraph() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
OptimumLiftGraph
- createOutput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Output
- createOutputField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
OutputField
- createPairCounts() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
PairCounts
- createParameter() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Parameter
- createParameterField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ParameterField
- createParameterList() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ParameterList
- createParamMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ParamMatrix
- createPartition() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Partition
- createPartitionFieldStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
PartitionFieldStats
- createPCell() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
PCell
- createPCovCell() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
PCovCell
- createPCovMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
PCovMatrix
- createPMML() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
PMML
- createPoissonDistribution() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
PoissonDistribution
- createPolynomialKernelType() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
PolynomialKernelType
- createPPCell() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
PPCell
- createPPMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
PPMatrix
- createPredictiveModelQuality() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
PredictiveModelQuality
- createPredictor() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Predictor
- createPredictorTerm() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
PredictorTerm
- createQuantile() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Quantile
- createRadialBasisKernelType() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
RadialBasisKernelType
- createRandomLiftGraph() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
RandomLiftGraph
- createREALEntries(List<Double>) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
- createREALSparseArray() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
REALSparseArray
- createRegression() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Regression
- createRegressionModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
RegressionModel
- createRegressionTable() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
RegressionTable
- createResultField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ResultField
- createResultsTable(ResultProducer, String) - Method in class weka.experiment.DatabaseUtils
-
Creates a results table for the supplied result producer.
- createROC() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ROC
- createROCGraph() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ROCGraph
- createRow() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Row
- createRuleSelectionMethod() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
RuleSelectionMethod
- createRuleSet() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
RuleSet
- createRuleSetModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
RuleSetModel
- createScorecard() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Scorecard
- createScoreDistribution() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
ScoreDistribution
- createSeasonalityExpoSmooth() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
SeasonalityExpoSmooth
- createSeasonalTrendDecomposition(Object) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
- createSegment() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Segment
- createSegmentation() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Segmentation
- createSequence() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
Sequence
- createSequenceModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
SequenceModel
- createSequenceReference() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
-
Create an instance of
SequenceReference
- createSequenceRule() - Method in class weka.core.pmml.jaxbbindings.