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# Classes and Interfaces in #Weka - 1156 results found.
NameDescriptionTypePackageFrameworkJavaDoc
AbstractAssociatorAbstract scheme for learning associations.Classweka.associationsWekajavadoc
AbstractClassifierAbstract classifier.Classweka.classifiersWekajavadoc
AbstractClustererClassweka.clusterersWekajavadoc
AbstractDataSinkAbstract class for objects that store instances to some destination.Classweka.gui.beansWekajavadoc
AbstractDataSinkBeanInfoBean info class for the AbstractDataSinkVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWekajavadoc
AbstractDataSourceAbstract class for objects that can provide instances from some sourceSince:1.Classweka.gui.beansWekajavadoc
AbstractDataSourceBeanInfoBean info class for AbstractDataSource.Classweka.gui.beansWekajavadoc
AbstractDensityBasedClustererAbstract clustering model that produces (for each test instance) an estimate of the membership in each cluster Classweka.clusterersWekajavadoc
AbstractEvaluationMetricAbstract base class for pluggable classification/regression evaluationVersion:$Revision: 12409 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.classifiers.evaluationWekajavadoc
AbstractEvaluatorAbstract class for objects that can provide some kind of evaluation for classifier, clusterers etc.Classweka.gui.beansWekajavadoc
AbstractFileBasedStopwordsAncestor for file-based stopword schemes.Classweka.core.stopwordsWekajavadoc
AbstractFileLoaderAbstract superclass for all file loaders.Classweka.core.convertersWekajavadoc
AbstractFileSaverAbstract class for Savers that save to a file -i input arff file Classweka.core.convertersWekajavadoc
AbstractGUIApplicationBase class for GUI applications in WekaVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.guiWekajavadoc
AbstractInstanceAbstract class providing common functionality for the original instanceVersion:$Revision: 10649 $Author:Eibe Frank (eibe@cs.Classweka.coreWekajavadoc
AbstractLoaderAbstract class gives default implementation of setSource methods.Classweka.core.convertersWekajavadoc
AbstractOffscreenChartRendererAbstract base class for offscreen chart renderers.Classweka.gui.beansWekajavadoc
AbstractOutputA superclass for outputting the classifications of a classifier.Classweka.classifiers.evaluation.output.predictionWekajavadoc
AbstractPerspectiveBase classes for GUI perspectives to extend.Classweka.guiWekajavadoc
AbstractPlotInstancesAbstract superclass for generating plottable instances.Classweka.gui.explorerWekajavadoc
AbstractPMMLProducerHelperAbstract base class for PMMLProducer helper classes to extend.Classweka.classifiers.pmml.producerWekajavadoc
AbstractSaverAbstract class for SaverVersion:$Revision: 11006 $Author:Richard Kirkby (rkirkby@cs.Classweka.core.convertersWekajavadoc
AbstractSetupPanelAncestor for setup panels for experiments.Classweka.gui.experimentWekajavadoc
AbstractStopwordsAncestor for stopwords classes.Classweka.core.stopwordsWekajavadoc

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AbstractTestSetProducerAbstract class for TestSetProducers that contains default implementations of add/remove listener methods and defualt visual representation.Classweka.gui.beansWekajavadoc
AbstractTestSetProducerBeanInfoBeanInfo class for AbstractTestSetProducerVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWekajavadoc
AbstractTimeSeriesAn abstract instance filter that assumes instances form time-series data and performs some merging of attribute values in the current instance withClassweka.filters.unsupervised.attributeWekajavadoc
AbstractTrainAndTestSetProducerAbstract base class for TrainAndTestSetProducers that contains default implementations of add/remove listener methods and defualt visualClassweka.gui.beansWekajavadoc
AbstractTrainAndTestSetProducerBeanInfoBean info class for AbstractTrainAndTestSetProducersVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWekajavadoc
AbstractTrainingSetProducerAbstract class for TrainingSetProducers that contains default implementations of add/remove listener methods and default visual representationClassweka.gui.beansWekajavadoc
AbstractTrainingSetProducerBeanInfoBeanInfo class for AbstractTrainingSetProducerVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWekajavadoc
ACTIVATIONFUNCTIONenum ACTIVATIONFUNCTIONJava class for ACTIVATION-FUNCTION.Classweka.core.pmml.jaxbbindingsWekajavadoc
ActiveHNodeNode that is "active" (i.Classweka.classifiers.trees.htWekajavadoc
AdaBoostM1 Class for boosting a nominal class classifier using the Adaboost M1 method.Classweka.classifiers.metaWekajavadoc
Add An instance filter that adds a new attribute to the dataset.Classweka.filters.unsupervised.attributeWekajavadoc
AddClassification A filter for adding the classification, the class distribution and an error flag to a dataset with a classifier.Classweka.filters.supervised.attributeWekajavadoc
AddCluster A filter that adds a new nominal attribute representing the cluster assigned to each instance by the specifiedClassweka.filters.unsupervised.attributeWekajavadoc
AddExpression An instance filter that creates a new attribute by applying a mathematical expression to existing attributes.Classweka.filters.unsupervised.attributeWekajavadoc
AddID An instance filter that adds an ID attribute to the dataset.Classweka.filters.unsupervised.attributeWekajavadoc
AdditionalMeasureProducerInterface to something that can produce measures other than those calculated by evaluation modules.Interfaceweka.coreWekajavadoc
AdditiveRegression Meta classifier that enhances the performance of a regression base classifier.Classweka.classifiers.metaWekajavadoc
AddNoise An instance filter that changes a percentage of a given attributes values.Classweka.filters.unsupervised.attributeWekajavadoc
AddUserFields A filter that adds new attributes with user specified type and constant value.Classweka.filters.unsupervised.attributeWekajavadoc
AddUserFieldsBeanInfoBean info class for the AddUserFields filter.Classweka.filters.unsupervised.attributeWekajavadoc
AddUserFieldsCustomizerCustomizer for the AddUserFields filter.Classweka.gui.filtersWekajavadoc
AddValues Adds the labels from the given list to an attribute if they are missing.Classweka.filters.unsupervised.attributeWekajavadoc
ADNodeThe ADNode class implements the ADTree datastructure which increases the speed with which sub-contingency tables can be constructed from a data set inClassweka.classifiers.bayes.netWekajavadoc
AggregateJava class for Aggregate element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
AggregateableInterface to something that can aggregate an object of the same type withVersion:$Revision: 9784 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Interfaceweka.coreWekajavadoc

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AggregateableEvaluationSubclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object.Classweka.classifiersWekajavadoc
AggregateableEvaluationSubclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object.Classweka.classifiers.evaluationWekajavadoc
Agrawal Generates a people database and is based on the paper by Agrawal et al.Classweka.datagenerators.classifiers.classificationWekajavadoc
AlgorithmListPanelThis panel controls setting a list of algorithms for an experiment to iterateVersion:$Revision: 10222 $Author:Richard Kirkby (rkirkby@cs.Classweka.gui.experimentWekajavadoc
AlgVectorClass for performing operations on an algebraic vector of floating-point values.Classweka.coreWekajavadoc
AllFilterA simple instance filter that passes all instances directly through.Classweka.filtersWekajavadoc
AllJavadocApplies all known Javadoc-derived classes to a source file.Classweka.coreWekajavadoc
AlphabeticTokenizer Alphabetic string tokenizer, tokens are to be formed only from contiguous alphabetic sequences.Classweka.core.tokenizersWekajavadoc
AlternateJava class for Alternate element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
AnnotationJava class for Annotation element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
AnovaJava class for Anova element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
AnovaRowJava class for AnovaRow element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
AntecedentSequenceJava class for AntecedentSequence element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
AnyDistributionJava class for AnyDistribution element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
AppenderA bean that appends multiple incoming data connections into a single data set.Classweka.gui.beansWekajavadoc
AppenderA bean that appends multiple incoming data connections into a single data set.Classweka.knowledgeflow.stepsWekajavadoc
AppenderBeanInfoBean info class for the appender beanVersion:$Revision: 10150 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.beansWekajavadoc
ApplicationJava class for Application element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ApplyJava class for Apply element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
Apriori Class implementing an Apriori-type algorithm.Classweka.associationsWekajavadoc
AprioriItemSetClass for storing a set of items.Classweka.associationsWekajavadoc
ArffLoader Reads a source that is in arff (attribute relation file format) format.Classweka.core.convertersWekajavadoc
ArffPanelA Panel representing an ARFF-Table and the associated filename.Classweka.gui.arffviewerWekajavadoc
ArffSaverWrites to a destination in arff text format.Classweka.core.convertersWekajavadoc
ArffSortedTableModelA sorter for the ARFF-Viewer - necessary because of the custom CellRenderer.Classweka.gui.arffviewerWekajavadoc

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ArffTableA specialized JTable for the Arff-Viewer.Classweka.gui.arffviewerWekajavadoc
ArffTableCellRendererHandles the background colors for missing values differently than the DefaultTableCellRenderer.Classweka.gui.arffviewerWekajavadoc
ArffTableModelThe model for the Arff-Viewer.Classweka.gui.arffviewerWekajavadoc
ArffViewerA little tool for viewing ARFF files.Classweka.gui.arffviewerWekajavadoc
ArffViewerMainPanelThe main panel of the ArffViewer.Classweka.gui.arffviewerWekajavadoc
ArrayClass for encapsulating a PMML Array element.Classweka.core.pmmlWekajavadoc
ArrayTypeJava class for ArrayType complex type.Classweka.core.pmml.jaxbbindingsWekajavadoc
ASEvaluationAbstract attribute selection evaluation classVersion:$Revision: 12201 $Author:Mark Hall (mhall@cs.Classweka.attributeSelectionWekajavadoc
ASEvaluatorStep that wraps a Weka attribute or subset evaluator.Classweka.knowledgeflow.stepsWekajavadoc
ASEvaluatorStepEditorDialogStep editor dialog for the ASEvaluator stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
ASSearchAbstract attribute selection search class.Classweka.attributeSelectionWekajavadoc
ASSearchStrategyStep that wraps a Weka attribute selection search strategy.Classweka.knowledgeflow.stepsWekajavadoc
AssociationModelJava class for AssociationModel element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
AssociationRuleAbstract class for storing and manipulating an association rule.Classweka.associationsWekajavadoc
AssociationRuleJava class for AssociationRule element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
AssociationRulesClass encapsulating a list of association rules.Classweka.associationsWekajavadoc
AssociationRulesProducerInterface to something that can provide a list ofVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Interfaceweka.associationsWekajavadoc
AssociationRuleVisualizePluginInterface implemented by classes loaded dynamically to visualize association results in the explorer.Interfaceweka.gui.visualize.pluginsWekajavadoc
AssociationsPanelThis panel allows the user to select, configure, and run a scheme that learnsVersion:$Revision: 12232 $Author:Eibe Frank (eibe@cs.Classweka.gui.explorerWekajavadoc
AssociatorGenerates an associator.Interfaceweka.associationsWekajavadoc
AssociatorBean that wraps around weka.Classweka.gui.beansWekajavadoc
AssociatorStep that wraps a Weka associator.Classweka.knowledgeflow.stepsWekajavadoc
AssociatorBeanInfoBeanInfo class for the Associator wrapper beanVersion:$Revision: 8034 $Author:Mark Hall (mhall at cs dot waikato dot ac dot nz)Classweka.gui.beansWekajavadoc
AssociatorCustomizerGUI customizer for the associator wrapper beanVersion:$Revision: 8034 $Author:Mark Hall (mhall at cs dot waikato dot ac dot nz)See Also:Serialized FormClassweka.gui.beansWekajavadoc
AssociatorEvaluationClass for evaluating Associaters.Classweka.associationsWekajavadoc

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AttributeClass for handling an attribute.Classweka.coreWekajavadoc
AttributeJava class for Attribute element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
AttributeEvaluatorInterface for classes that evaluate attributes individually.Interfaceweka.attributeSelectionWekajavadoc
AttributeListPanelCreates a panel that displays the attributes contained in a set of instances, letting the user select a single attribute for inspection.Classweka.guiWekajavadoc
AttributeLocatorThis class locates and records the indices of a certain type of attributes, recursively in case of Relational attributes.Classweka.coreWekajavadoc
AttributeMetaInfoClassweka.coreWekajavadoc
AttributePanelThis panel displays one dimensional views of the attributes in a dataset.Classweka.gui.visualizeWekajavadoc
AttributePanelEventClass encapsulating a change in the AttributePanel's selected x and yVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.Classweka.gui.visualizeWekajavadoc
AttributePanelListenerInterface for classes that want to listen for Attribute selection changes in the attribute panelInterfaceweka.gui.visualizeWekajavadoc
AttributeSelectedClassifier Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier.Classweka.classifiers.metaWekajavadoc
AttributeSelectionAttribute selection class.Classweka.attributeSelectionWekajavadoc
AttributeSelection A supervised attribute filter that can be used to select attributes.Classweka.filters.supervised.attributeWekajavadoc
AttributeSelectionPanelThis panel allows the user to select and configure an attribute evaluator and a search method, set the attribute of the current dataset to be used as theClassweka.gui.explorerWekajavadoc
AttributeSetEvaluatorAbstract attribute set evaluator.Classweka.attributeSelectionWekajavadoc
AttributeStatsA Utility class that contains summary information on an the values that appear in a dataset for a particular attribute.Classweka.coreWekajavadoc
AttributeSummarizerBean that encapsulates displays bar graph summaries for attributes in a dataVersion:$Revision: 10216 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc
AttributeSummarizerStep that collects data to display in a summary overview of attributeVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWekajavadoc
AttributeSummarizerBeanInfoBean info class for the attribute summarizer beanVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWekajavadoc
AttributeSummarizerCustomizerGUI customizer for attribute summarizer.Classweka.gui.beansWekajavadoc
AttributeSummarizerInteractiveViewInteractive viewer for the AttributeSummarizer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
AttributeSummarizerStepEditorDialogStep editor dialog for the attribute summarizer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
AttributeSummaryPanelThis panel displays summary statistics about an attribute: name, type number/% of missing/unique values, number of distinct values.Classweka.guiWekajavadoc
AttributeSummaryPerspectiveKnowledge Flow perspective that provides a matrix of AttributeVisualizationPanelsClassweka.gui.knowledgeflowWekajavadoc
AttributeTransformerAbstract attribute transformer.Interfaceweka.attributeSelectionWekajavadoc
AttributeVisualizationPanelCreates a panel that shows a visualization of an attribute in a dataset.Classweka.guiWekajavadoc

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AveragingResultProducer Takes the results from a ResultProducer and submits the average to the result listener.Classweka.experimentWekajavadoc
Bagging Class for bagging a classifier to reduce variance.Classweka.classifiers.metaWekajavadoc
BallNodeClass representing a node of a BallTree.Classweka.core.neighboursearch.balltreesWekajavadoc
BallSplitterAbstract class for splitting a ball tree's BallNode.Classweka.core.neighboursearch.balltreesWekajavadoc
BallTree Class implementing the BallTree/Metric Tree algorithm for nearest neighbour search.Classweka.core.neighboursearchWekajavadoc
BallTreeConstructorAbstract class for constructing a BallTree .Classweka.core.neighboursearch.balltreesWekajavadoc
BaseCumHazardTablesJava class for BaseCumHazardTables element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
BaseExecutionEnvironmentBase class for execution environmentsAuthor:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.knowledgeflowWekajavadoc
BaseInteractiveViewerBase class than clients can extend when implementing StepInteractiveViewer.Classweka.gui.knowledgeflowWekajavadoc
BaselineJava class for Baseline element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
BaselineCellJava class for BaselineCell element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
BaselineModelJava class for BaselineModel element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
BaselineStratumJava class for BaselineStratum element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
BASELINETESTSTATISTICenum BASELINETESTSTATISTICJava class for BASELINE-TEST-STATISTIC.Classweka.core.pmml.jaxbbindingsWekajavadoc
BaseSimpleDataVisualizerAbstract base class for simple data visualization steps that just collect data sets for visualization.Classweka.knowledgeflow.stepsWekajavadoc
BaseStepBase class for implementations of Step to use.Classweka.knowledgeflow.stepsWekajavadoc
BaseStepExtenderA 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 startInterfaceweka.knowledgeflow.stepsWekajavadoc
BatchAssociationRulesEventClass encapsulating a set of association rules.Classweka.gui.beansWekajavadoc
BatchAssociationRulesListenerInterface to something that can process a BatchAssociationRulesEvent.Interfaceweka.gui.beansWekajavadoc
BatchClassifierEventClass encapsulating a built classifier and a batch of instances to test on.Classweka.gui.beansWekajavadoc
BatchClassifierListenerInterface to something that can process a BatchClassifierEventSince:1.Interfaceweka.gui.beansWekajavadoc
BatchClustererEventClass encapsulating a built clusterer and a batch of instances toSince:1.Classweka.gui.beansWekajavadoc
BatchClustererListenerInterface to something that can process a BatchClustererEventVersion:$Revision: 8034 $Author:MStefan MutterSee Also:EventListenerInterfaceweka.gui.beansWekajavadoc
BatchConverterInterfaceweka.core.convertersWekajavadoc
BatchPredictorInterface to something that can produce predictions in a batch manner when presented with a set of Instances.Interfaceweka.coreWekajavadoc

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BayesInputJava class for BayesInput element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
BayesInputsJava class for BayesInputs element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
BayesNet Bayes Network learning using various search algorithms and quality measures.Classweka.classifiers.bayesWekajavadoc
BayesNet Generates random instances based on a Bayes network.Classweka.datagenerators.classifiers.classificationWekajavadoc
BayesNetEstimator BayesNetEstimator is the base class for estimating the conditional probability tables of a Bayes network once the structure hasClassweka.classifiers.bayes.net.estimateWekajavadoc
BayesNetGenerator Bayes Network learning using various search algorithms and quality measures.Classweka.classifiers.bayes.netWekajavadoc
BayesOutputJava class for BayesOutput element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
BeanCommonInterface specifying routines that all weka beans should implement in order to allow the bean environment to exercise some control over theInterfaceweka.gui.beansWekajavadoc
BeanConnectionClass for encapsulating a connection between two beans.Classweka.gui.beansWekajavadoc
BeanCustomizer a listener interested in notification about whether the customizer has modified the object that it is customizing.Interfaceweka.gui.beansWekajavadoc
BeanInstanceClass that manages a set of beans.Classweka.gui.beansWekajavadoc
BeansPropertiesUtility class encapsulating various properties for the KnowledgeFlow and providing methods to register and deregister plugin Bean componentsClassweka.gui.beansWekajavadoc
BeanVisualBeanVisual encapsulates icons and label for a given bean.Classweka.gui.beansWekajavadoc
BestFirst Searches the space of attribute subsets by greedy hillclimbing augmented with a backtracking facility.Classweka.attributeSelectionWekajavadoc
BIFFormatExceptionThis is the Exception thrown by BIFParser, if there was an error in parsing the XMLBIF string or inputClassweka.gui.graphvisualizerWekajavadoc
BIFParserThis class parses an inputstream or a string in XMLBIF ver.Classweka.gui.graphvisualizerWekajavadoc
BIFReader Builds a description of a Bayes Net classifier stored in XML BIF 0.Classweka.classifiers.bayes.netWekajavadoc
BinaryItemClass that encapsulates an item whose backing Attribute isVersion:$Revision; $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.associationsWekajavadoc
BinarySimilarityJava class for binarySimilarity element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
BinarySparseInstanceClass for storing a binary-data-only instance as a sparse vector.Classweka.coreWekajavadoc
BinC45ModelSelectionClass for selecting a C4.Classweka.classifiers.trees.j48Wekajavadoc
BinC45SplitClass implementing a binary C4.Classweka.classifiers.trees.j48Wekajavadoc
BIRCHCluster Cluster data generator designed for the BIRCH Dataset is generated with instances in K clusters.Classweka.datagenerators.clusterersWekajavadoc
BlockA step that waits for a specified step to finish processing before allowing incoming data to proceed downstream.Classweka.knowledgeflow.stepsWekajavadoc
BlockStepEditorDialogStep editor dialog for the Block stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc

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BMAEstimator BMAEstimator estimates conditional probability tables of a Bayes network using Bayes Model Averaging (BMA).Classweka.classifiers.bayes.net.estimateWekajavadoc
BMPWriterThis class takes any JComponent and outputs it to a BMP-file.Classweka.gui.visualizeWekajavadoc
BottomUpConstructor The class that constructs a ball tree bottom up.Classweka.core.neighboursearch.balltreesWekajavadoc
BoundaryPanelBoundaryPanel.Classweka.gui.boundaryvisualizerWekajavadoc
BoundaryPanelDistributedThis class extends BoundaryPanel with code for distributing the processing necessary to create a visualization among a list of remote machines.Classweka.gui.boundaryvisualizerWekajavadoc
BoundaryPlotterA step that computes visualization data for class/cluster decisionVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWekajavadoc
BoundaryPlotterInteractiveViewInteractive viewer component for the boundary plotter stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
BoundaryPlotterStepEditorDialogEditor dialog for the boundary plotter stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
BoundaryValueMeansJava class for BoundaryValueMeans element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
BoundaryValuesJava class for BoundaryValues element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
BoundaryVisualizerBoundaryVisualizer.Classweka.gui.boundaryvisualizerWekajavadoc
BrowserHelperA little helper class for browser related stuff.Classweka.guiWekajavadoc
BuiltInArithmeticBuilt-in function for +, -, *, /.Classweka.core.pmmlWekajavadoc
BuiltInMathBuilt-in function for min, max, sum, avg, log10, ln, sqrt, abs, exp, pow, threshold, floor, ceil and round.Classweka.core.pmmlWekajavadoc
BuiltInStringBuilt-in function for uppercase, substring and trimblanks.Classweka.core.pmmlWekajavadoc
BVDecompose Class for performing a Bias-Variance decomposition on any classifier using the method specified in: Ron Kohavi, David H.Classweka.classifiersWekajavadoc
BVDecomposeSegCVSub This class performs Bias-Variance decomposion on any classifier using the sub-sampled cross-validation procedure as specified in (1).Classweka.classifiersWekajavadoc
C45Loader Reads a file that is C45 format.Classweka.core.convertersWekajavadoc
C45ModelSelectionClass for selecting a C4.Classweka.classifiers.trees.j48Wekajavadoc
C45PruneableClassifierTreeClass for handling a tree structure that can be pruned using C4.Classweka.classifiers.trees.j48Wekajavadoc
C45PruneableDecListClass for handling a partial tree structure pruned using C4.Classweka.classifiers.rules.partWekajavadoc
C45Saver Writes to a destination that is in the format used by the C4.Classweka.core.convertersWekajavadoc
C45SplitClass implementing a C4.Classweka.classifiers.trees.j48Wekajavadoc
CachedKernelBase class for RBFKernel and PolyKernel that implements a simple LRU.Classweka.classifiers.functions.supportVectorWekajavadoc
CallbackNotifierDelegateInterface to something that can notify a Step that a Task submitted by ExecutionEnvironment.Interfaceweka.knowledgeflowWekajavadoc

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Canopy Cluster data using the capopy clustering algorithm, which requires just one pass over the data.Classweka.clusterersWekajavadoc
CapabilitiesA class that describes the capabilites (e.Classweka.coreWekajavadoc
CapabilitiesHandlerClasses implementing this interface return their capabilities in regardsVersion:$Revision: 11006 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:CapabilitiesInterfaceweka.coreWekajavadoc
CapabilitiesIgnorerClasses implementing this interface make it possible to turn off capabilities checking.Interfaceweka.coreWekajavadoc
CartesianProduct A filter for performing the Cartesian product of a set of nominal attributes.Classweka.filters.unsupervised.attributeWekajavadoc
CARuleMinerInterface for learning class association rules.Interfaceweka.associationsWekajavadoc
CategoricalPredictorJava class for CategoricalPredictor element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
CategoriesJava class for Categories element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
CategoryJava class for Category element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
CATSCORINGMETHODenum CATSCORINGMETHODJava class for CAT-SCORING-METHOD.Classweka.core.pmml.jaxbbindingsWekajavadoc
Center Centers all numeric attributes in the given dataset to have zero mean (apart from the class attribute, if set).Classweka.filters.unsupervised.attributeWekajavadoc
CfsSubsetEval Evaluates the worth of a subset of attributes by considering the individual predictive ability of each feature along with the degree of redundancyClassweka.attributeSelectionWekajavadoc
ChangeDateFormat Changes the date format used by a date attribute.Classweka.filters.unsupervised.attributeWekajavadoc
CharacterDelimitedTokenizerAbstract superclass for tokenizers that take characters as delimiters.Classweka.core.tokenizersWekajavadoc
CharacteristicJava class for Characteristic element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
CharacteristicsJava class for Characteristics element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
CharacterNGramTokenizer Splits a string into an n-gram with min and max Valid options are:Classweka.core.tokenizersWekajavadoc
ChartEventEvent encapsulating info for plotting a data point on the StripChartVersion:$Revision: 10216 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc
ChartListenerInterface to something that can process a ChartEventVersion:$Revision: 8034 $Author:Mark HallInterfaceweka.gui.beansWekajavadoc
ChebychevJava class for chebychev element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ChebyshevDistance Implements the Chebyshev distance.Classweka.coreWekajavadoc
CheckAbstract general class for testing in Weka.Classweka.coreWekajavadoc
CheckAssociatorClass for examining the capabilities and finding problems with associators.Classweka.associationsWekajavadoc
CheckAttributeSelectionClass for examining the capabilities and finding problems with attribute selection schemes.Classweka.attributeSelectionWekajavadoc
CheckBoxListAn extended JList that contains CheckBoxes.Classweka.guiWekajavadoc

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CheckClassifierClass for examining the capabilities and finding problems with classifiers.Classweka.classifiersWekajavadoc
CheckClustererClass for examining the capabilities and finding problems with clusterers.Classweka.clusterersWekajavadoc
CheckEstimatorClass for examining the capabilities and finding problems with estimators.Classweka.estimatorsWekajavadoc
CheckGOESimple command line checking of classes that are editable in the GOE.Classweka.coreWekajavadoc
CheckKernelClass for examining the capabilities and finding problems with kernels.Classweka.classifiers.functions.supportVectorWekajavadoc
CheckOptionHandlerSimple command line checking of classes that implement OptionHandler.Classweka.coreWekajavadoc
CheckSchemeAbstract general class for testing schemes in Weka.Classweka.coreWekajavadoc
CheckSourceA simple class for checking the source generated from Classifiers implementing the weka.Classweka.classifiersWekajavadoc
CheckSourceA simple class for checking the source generated from Filters implementing the weka.Classweka.filtersWekajavadoc
ChildParentJava class for ChildParent element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
CholeskyDecompositionCholesky Decomposition.Classweka.core.matrixWekajavadoc
CISearchAlgorithm 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).Classweka.classifiers.bayes.net.search.ciWekajavadoc
CityBlockJava class for cityBlock element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ClassAssigner Filter that can set and unset the class index.Classweka.filters.unsupervised.attributeWekajavadoc
ClassAssignerBean that assigns a class attribute to a data set.Classweka.gui.beansWekajavadoc
ClassAssignerKnowledge Flow step for assigning a class attribute in incoming dataVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWekajavadoc
ClassAssignerBeanInfoBeanInfo class for the class assigner beanVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWekajavadoc
ClassAssignerCustomizerGUI customizer for the class assigner beanVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc
ClassAssignerStepEditorDialogStep editor dialog for the ClassAssigner stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
ClassBalancer Reweights the instances in the data so that each class has the same total weight.Classweka.filters.supervised.instanceWekajavadoc
ClassCacheA singleton that stores all classes on the classpath.Classweka.coreWekajavadoc
ClassConditionalProbabilities Converts the values of nominal and/or numeric attributes into class conditional probabilities.Classweka.filters.supervised.attributeWekajavadoc
ClassDiscoveryThis class is used for discovering classes that implement a certain interface or a derived from a certain class.Classweka.coreWekajavadoc
ClassificationGeneratorAbstract class for data generators for classifiers.Classweka.datageneratorsWekajavadoc
ClassificationViaRegression Class for doing classification using regression methods.Classweka.classifiers.metaWekajavadoc

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ClassifierClassifier interface.Interfaceweka.classifiersWekajavadoc
ClassifierBean that wraps around weka.Classweka.gui.beansWekajavadoc
ClassifierStep that wraps a Weka classifier.Classweka.knowledgeflow.stepsWekajavadoc
ClassifierBeanInfoBeanInfo class for the Classifier wrapper beanVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWekajavadoc
ClassifierCustomizerGUI customizer for the classifier wrapper beanVersion:$Revision: 9213 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc
ClassifierDecListClass for handling a rule (partial tree) for a decision list.Classweka.classifiers.rules.partWekajavadoc
ClassifierErrorsPlotInstancesA class for generating plottable visualization errors.Classweka.gui.explorerWekajavadoc
ClassifierPanelThis panel allows the user to select and configure a classifier, set the attribute of the current dataset to be used as the class, and evaluate theClassweka.gui.explorerWekajavadoc
ClassifierPanelLaunchHandlerPluginInterface to plugin that can take the current state of the Classifier panel and execute it.Interfaceweka.gui.explorerWekajavadoc
ClassifierPerformanceEvaluatorA bean that evaluates the performance of batch trained classifiersVersion:$Revision: 12704 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc
ClassifierPerformanceEvaluatorStep that implements batch classifier evaluationVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWekajavadoc
ClassifierPerformanceEvaluatorBeanInfoBean info class for the classifier performance evaluatorVersion:$Revision: 9455 $Author:Mark HallClassweka.gui.beansWekajavadoc
ClassifierPerformanceEvaluatorCustomizerGUI customizer for the classifier performance evaluator componentVersion:$Revision: 9320 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.beansWekajavadoc
ClassifierPerformanceEvaluatorStepEditorDialogGUI step editor dialog for the ClassifierPerformanceEvaluator stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
ClassifierSplitEvaluator A SplitEvaluator that produces results for a classification scheme on a nominal class attribute.Classweka.experimentWekajavadoc
ClassifierSplitModelAbstract class for classification models that can be used recursively to split the data.Classweka.classifiers.trees.j48Wekajavadoc
ClassifierTreeClass for handling a tree structure used for classification.Classweka.classifiers.trees.j48Wekajavadoc
ClassLabelsJava class for ClassLabels element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ClassloaderUtilUtility class that can add jar files to the classpath dynamically.Classweka.coreWekajavadoc
ClassOrder Changes the order of the classes so that the class values are no longer of in the order specified in the header.Classweka.filters.supervised.attributeWekajavadoc
ClassPanelThis panel displays coloured labels for nominal attributes and a spectrum for numeric attributes.Classweka.gui.visualizeWekajavadoc
ClassValuePickerClassweka.gui.beansWekajavadoc
ClassValuePickerStep that allows the selection of the class label that is to be considered as the "positive" class when computing threshold curves.Classweka.knowledgeflow.stepsWekajavadoc
ClassValuePickerBeanInfoBeanInfo class for the class value picker beanVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWekajavadoc
ClassValuePickerCustomizerClassweka.gui.beansWekajavadoc

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ClassValuePickerStepEditorDialogEditor dialog for the ClassValuePicker step.Classweka.gui.knowledgeflow.stepsWekajavadoc
CloseableTabTitleTab title widget that allows the user to click a little cross in order toVersion:$Revision: 11870 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.guiWekajavadoc
ClusterJava class for Cluster element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ClusterDefinitionAncestor to all ClusterDefinitions, i.Classweka.datageneratorsWekajavadoc
ClustererInterface for clusterers.Interfaceweka.clusterersWekajavadoc
ClustererBean that wraps around weka.Classweka.gui.beansWekajavadoc
ClustererStep that wraps a Weka clusterer.Classweka.knowledgeflow.stepsWekajavadoc
ClustererAssignmentsPlotInstancesA class for generating plottable cluster assignments.Classweka.gui.explorerWekajavadoc
ClustererBeanInfoBeanInfo class for the Clusterer wrapper beanVersion:$Revision: 8034 $Author:Stefan MutterClassweka.gui.beansWekajavadoc
ClustererCustomizerGUI customizer for the Clusterer wrapper beanVersion:$Revision: 8034 $Author:Stefan MutterSee Also:Serialized FormClassweka.gui.beansWekajavadoc
ClustererPanelThis panel allows the user to select and configure a clusterer, and evaluate the clusterer using a number of testing modes (test on the training data,Classweka.gui.explorerWekajavadoc
ClustererPanelLaunchHandlerPluginInterface to plugin that can take the current state of the Clusterer panel and execute it.Interfaceweka.gui.explorerWekajavadoc
ClustererPerformanceEvaluatorA bean that evaluates the performance of batch trained clusterersVersion:$Revision: 10220 $Author:Stefan MutterSee Also:Serialized FormClassweka.gui.beansWekajavadoc
ClustererPerformanceEvaluatorA step that evaluates the performance of batch trained clusterersVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWekajavadoc
ClustererPerformanceEvaluatorBeanInfoBean info class for the clusterer performance evaluatorVersion:$Revision: 8034 $Author:Stefan MutterClassweka.gui.beansWekajavadoc
ClusterEvaluationClass for evaluating clustering models.Classweka.clusterersWekajavadoc
ClusterGeneratorAbstract class for cluster data generators.Classweka.datageneratorsWekajavadoc
ClusteringFieldJava class for ClusteringField element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ClusteringModelJava class for ClusteringModel element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ClusteringModelQualityJava class for ClusteringModelQuality element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ClusterMembership A filter that uses a density-based clusterer to generate cluster membership values; filtered instances are composed of theseClassweka.filters.unsupervised.attributeWekajavadoc
Cobweb Class implementing the Cobweb and Classit clustering algorithms.Classweka.clusterersWekajavadoc
CoefficientJava class for Coefficient element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
CoefficientsJava class for Coefficients element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ColorEditorA property editor for colors that uses JColorChooser as theVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.guiWekajavadoc

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ColorsThis class maintains a list that contains all the colornames from the dotty standard and what color (in RGB) they representClassweka.gui.treevisualizerWekajavadoc
CommandlineRunnableInterface to something that can be run from the command line.Interfaceweka.coreWekajavadoc
COMPAREFUNCTIONenum COMPAREFUNCTIONJava class for COMPARE-FUNCTION.Classweka.core.pmml.jaxbbindingsWekajavadoc
ComparisonMeasureJava class for ComparisonMeasure element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ComparisonsJava class for Comparisons element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ComponentHelperA helper class for some common tasks with Dialogs, Icons, etc.Classweka.guiWekajavadoc
CompoundPredicateJava class for CompoundPredicate element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
CompoundRuleJava class for CompoundRule element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ComputeInterface to something that can accept remote connections and executeVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.Interfaceweka.experimentWekajavadoc
Con1 Java class for Con element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ConditionalDensityEstimatorInterface for numeric prediction schemes that can output conditionalVersion:$Revision: 8034 $Author:Eibe Frank (eibe@cs.Interfaceweka.classifiersWekajavadoc
ConditionalEstimatorInterface for conditional probability estimators.Interfaceweka.estimatorsWekajavadoc
ConditionalSufficientStatsRecords sufficient stats for an attributeVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWekajavadoc
ConfigurationEventMatching event for ConfigurationListener.Classweka.gui.beansWekajavadoc
ConfigurationListenerMatching listener for ConfigurationEvent.Interfaceweka.gui.beansWekajavadoc
ConfigurationProducerMarker interface for components that can share their configuration.Interfaceweka.gui.beansWekajavadoc
ConfusionMatrixCells of this matrix correspond to counts of the number (or weight) of predictions for each actual value / predicted value combination.Classweka.classifiers.evaluationWekajavadoc
ConfusionMatrixJava class for ConfusionMatrix element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ConjugateGradientOptimizationThis subclass of Optimization.Classweka.coreWekajavadoc
ConnectionEventAn event that is generated when a connection is established or dropped.Classweka.gui.sql.eventWekajavadoc
ConnectionListenerA listener for connect/disconnect events.Interfaceweka.gui.sql.eventWekajavadoc
ConnectionNotificationConsumerInterface for Beans that can receive (dis-)connection events generated when (dis-)connecting data processing nodes in the Weka KnowledgeFlow.Interfaceweka.gui.beansWekajavadoc
ConnectionPanelEnables the user to insert a database URL, plus user/password to connect toVersion:$Revision: 10222 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized FormClassweka.gui.sqlWekajavadoc
ConsequentSequenceJava class for ConsequentSequence element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ConsoleLoggerA simple logger that outputs the logging information in the console.Classweka.core.loggingWekajavadoc

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ConstantClass encapsulating a Constant Expression.Classweka.core.pmmlWekajavadoc
ConstantJava class for Constant element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ConstraintsJava class for Constraints element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ContingencyTablesClass implementing some statistical routines for contingency tables.Classweka.coreWekajavadoc
CONTSCORINGMETHODenum CONTSCORINGMETHODJava class for CONT-SCORING-METHOD.Classweka.core.pmml.jaxbbindingsWekajavadoc
ContStatsJava class for ContStats element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ConverterFileChooserA specialized JFileChooser that lists all available file Loaders and Savers.Classweka.guiWekajavadoc
ConverterUtilsUtility routines for the converter package.Classweka.core.convertersWekajavadoc
Copy An instance filter that copies a range of attributes in the dataset.Classweka.filters.unsupervised.attributeWekajavadoc
CopyableInterface implemented by classes that can produce "shallow" copies of their objects.Interfaceweka.coreWekajavadoc
CopyrightA class for providing centralized Copyright information.Classweka.coreWekajavadoc
CorrelationAttributeEval CorrelationAttributeEval : Evaluates the worth of an attribute by measuring the correlation (Pearson's)Classweka.attributeSelectionWekajavadoc
CorrelationFieldsJava class for CorrelationFields element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
CorrelationMethodsJava class for CorrelationMethods element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
CorrelationsJava class for Correlations element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
CorrelationSplitInfoFinds split points using correlation.Classweka.classifiers.trees.m5Wekajavadoc
CorrelationValuesJava class for CorrelationValues element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
CostBenefitAnalysisBean that aids in analyzing cost/benefit tradeoffs.Classweka.gui.beansWekajavadoc
CostBenefitAnalysisStep for storing and viewing threshold data in a cost-benefit visualizationVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWekajavadoc
CostBenefitAnalysisBeanInfoBean info class for the cost/benefit analysisVersion:$Revision: 8046 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.beansWekajavadoc
CostBenefitAnalysisInteractiveViewInteractive view for the CostBenefitAnalysis stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
CostBenefitAnalysisPanelPanel for displaying the cost-benefit plots and all control widgets.Classweka.guiWekajavadoc
CostCurveGenerates points illustrating probablity cost tradeoffs that can be obtained by varying the threshold value between classes.Classweka.classifiers.evaluationWekajavadoc
CostMatrixClass for storing and manipulating a misclassification cost matrix.Classweka.classifiersWekajavadoc
CostMatrixEditorClass for editing CostMatrix objects.Classweka.guiWekajavadoc

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CostSensitiveClassifier A metaclassifier that makes its base classifier cost-sensitive.Classweka.classifiers.metaWekajavadoc
CostSensitiveClassifierSplitEvaluator SplitEvaluator that produces results for a classification scheme on a nominal class attribute, including weightedClassweka.experimentWekajavadoc
CountsJava class for Counts element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
COUNTTABLETYPEJava class for COUNT-TABLE-TYPE complex type.Classweka.core.pmml.jaxbbindingsWekajavadoc
CovariancesJava class for Covariances element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
CovariateListJava class for CovariateList element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
CoverTree Class implementing the CoverTree datastructure.Classweka.core.neighboursearchWekajavadoc
CrossValidationFoldMakerBean for splitting instances into training ant test sets according to a crossVersion:$Revision: 10220 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc
CrossValidationFoldMakerStep for generating cross-validation splitsVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWekajavadoc
CrossValidationFoldMakerBeanInfoBeanInfo class for the cross validation fold maker beanVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWekajavadoc
CrossValidationFoldMakerCustomizerGUI Customizer for the cross validation fold maker beanVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc
CrossValidationResultProducer Generates for each run, carries out an n-fold cross-validation, using the set SplitEvaluator to generate some results.Classweka.experimentWekajavadoc
CrossValidationSplitResultProducer Carries out one split of a repeated k-fold cross-validation, using the set SplitEvaluator to generate some results.Classweka.experimentWekajavadoc
CSV Outputs the predictions as CSV.Classweka.classifiers.evaluation.output.predictionWekajavadoc
CSVLoader Reads a source that is in comma separated format (the default).Classweka.core.convertersWekajavadoc
CSVResultListener Takes results from a result producer and assembles them into comma separated value form.Classweka.experimentWekajavadoc
CSVSaver Writes to a destination that is in CSV (comma-separated values) format.Classweka.core.convertersWekajavadoc
CUMULATIVELINKFUNCTIONenum CUMULATIVELINKFUNCTIONJava class for CUMULATIVE-LINK-FUNCTION.Classweka.core.pmml.jaxbbindingsWekajavadoc
CustomDisplayStringProviderFor classes that do not implement the OptionHandler interface and want to provide a custom display string in the GenericObjectEditor, which is more Interfaceweka.coreWekajavadoc
CustomizerCloseRequesterCustomizers who want to be able to close the customizer window themselves can implement this window.Interfaceweka.gui.beansWekajavadoc
CustomizerClosingListenerInterfaceweka.gui.beansWekajavadoc
CustomPanelSupplierAn interface for objects that are capable of supplying their own custom GUI components.Interfaceweka.guiWekajavadoc
CVParameterSelection Class for performing parameter selection by cross-validation for any classifier.Classweka.classifiers.metaWekajavadoc
DataClass for encapsulating data to be transferred between Knowledge Flow steps over a particular connection type.Classweka.knowledgeflowWekajavadoc
DatabaseConnectionConnects to a database.Classweka.core.convertersWekajavadoc

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DatabaseConnectionDialogA dialog to enter URL, username and password for a database connection.Classweka.guiWekajavadoc
DatabaseConverterMarker interface for a loader/saver that uses a databaseVersion:$Revision 1.Interfaceweka.core.convertersWekajavadoc
DatabaseLoader Reads Instances from a Database.Classweka.core.convertersWekajavadoc
DatabaseResultListener Takes results from a result producer and sends themVersion:$Revision: 11247 $Author:Len Trigg (trigg@cs.Classweka.experimentWekajavadoc
DatabaseResultProducer Examines a database and extracts out the results produced by the specified ResultProducer and submits them to the specifiedClassweka.experimentWekajavadoc
DatabaseSaver Writes to a database (tested with MySQL, InstantDB, Valid options are:Classweka.core.convertersWekajavadoc
DatabaseUtilsDatabaseUtils provides utility functions for accessing the experiment database.Classweka.experimentWekajavadoc
DataCollectorAuxiliary interface for steps that collect data results of some type - e.Interfaceweka.knowledgeflow.stepsWekajavadoc
DataDictionaryJava class for DataDictionary element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
DataFieldJava class for DataField element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
DataFormatListenerListener interface that customizer classes that are interested in data format changes can implement.Interfaceweka.gui.beansWekajavadoc
DataGeneratorAbstract superclass for data generators that generate data for classifiersVersion:$Revision: 10583 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized FormClassweka.datageneratorsWekajavadoc
DataGeneratorInterface to something that can generate new instances based on a set of input instancesInterfaceweka.gui.boundaryvisualizerWekajavadoc
DataGeneratorStep that wraps a Weka DataGenerator.Classweka.knowledgeflow.stepsWekajavadoc
DataGeneratorPanelA panel for generating artificial data via DataGenerators.Classweka.gui.explorerWekajavadoc
DataGridA step that allows the user to define instances to outputVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWekajavadoc
DataGridStepEditorDialogStep editor dialog for the data gridVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
DataSetEventEvent encapsulating a data setVersion:$Revision: 8034 $Author:Mark HallSee Also:EventObject, Classweka.gui.beansWekajavadoc
DatasetListPanelThis panel controls setting a list of datasets for an experiment to iterateVersion:$Revision: 10222 $Author:Len Trigg (trigg@cs.Classweka.gui.experimentWekajavadoc
DataSinkInterfaceweka.gui.beansWekajavadoc
DataSourceInterface to something that is capable of being a source for data - either batch or incremental dataInterfaceweka.gui.beansWekajavadoc
DataSourceListenerInterface to something that can accept DataSetEventsSince:1.Interfaceweka.gui.beansWekajavadoc
DATATYPEJava class for DATATYPE.Classweka.core.pmml.jaxbbindingsWekajavadoc
DataVisualizerBean that encapsulates weka.Classweka.gui.beansWekajavadoc
DataVisualizerA step that provides a visualization based on weka.Classweka.knowledgeflow.stepsWekajavadoc

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DataVisualizerBeanInfoBean info class for the data visualizerVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWekajavadoc
DataVisualizerCustomizerGUI customizer for data visualizer.Classweka.gui.beansWekajavadoc
DataVisualizerInteractiveViewInteractive viewer for the DataVisualizer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
DataVisualizerStepEditorDialogEditor dialog for the DataVisualizer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
DateAttributeInfoStores information for date attributes.Classweka.coreWekajavadoc
DbUtilsA little bit extended DatabaseUtils class.Classweka.gui.sqlWekajavadoc
DDConditionalEstimatorConditional probability estimator for a discrete domain conditional uponVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs.Classweka.estimatorsWekajavadoc
DebugA helper class for debug output, logging, clocking, etc.Classweka.coreWekajavadoc
DecisionJava class for Decision element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
DecisionsJava class for Decisions element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
DecisionStump Class for building and using a decision stump.Classweka.classifiers.treesWekajavadoc
DecisionTable Class for building and using a simple decision table majority classifier.Classweka.classifiers.rulesWekajavadoc
DecisionTableHashKeyClass providing hash table keys for DecisionTableSee Also:Serialized FormClassweka.classifiers.rulesWekajavadoc
DecisionTreeJava class for DecisionTree element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
DefaultAssociationRuleClass for storing and manipulating an association rule.Classweka.associationsWekajavadoc
DefaultCallbackNotifierDelegateDefault implementation of a CallbackNotifierDelegate.Classweka.knowledgeflowWekajavadoc
DefaultPackageA concrete implementation of Package that uses Java properties files/classes to manage package meta data.Classweka.core.packageManagementWekajavadoc
DefaultPackageManagerA concrete implementation of PackageManager that uses Java properties files/class to manage package meta data.Classweka.core.packageManagementWekajavadoc
DefaultsBase class for providing a set of default settings for an application.Classweka.coreWekajavadoc
DefineFunctionClass encapsulating DefineFunction (used in TransformationDictionary).Classweka.core.pmmlWekajavadoc
DefineFunctionJava class for DefineFunction element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
DelayedCallbackNotifierDelegate and only notifies the callback when the notifyNow() method is called.Classweka.knowledgeflowWekajavadoc
DelimiterJava class for Delimiter element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
DELIMITER2Java class for DELIMITER.Classweka.core.pmml.jaxbbindingsWekajavadoc
DenseInstanceClass for handling an instance.Classweka.coreWekajavadoc

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DensityBasedClustererInterface for clusterers that can estimate the density for a given instance.Interfaceweka.clusterersWekajavadoc
DensityBasedClustererSplitEvaluator A SplitEvaluator that produces results for a density based clusterer.Classweka.experimentWekajavadoc
DependencyClass that encapsulates a dependency between two packagesVersion:$Revision: 44030 $Author:mhall (mhall{[at]}pentaho{[dot]}com)Classweka.core.packageManagementWekajavadoc
DerivedFieldJava class for DerivedField element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
DerivedFieldMetaInfoClassweka.core.pmmlWekajavadoc
DesignPanelPanel that contains the tree view of steps and the searchVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflowWekajavadoc
DictionaryBuilderClass for building and maintaining a dictionary of terms.Classweka.coreWekajavadoc
DictionarySaver Writes a dictionary constructed from string attributes in incoming instances to a destination.Classweka.core.convertersWekajavadoc
DiscreteEstimatorSimple symbolic probability estimator based on symbol counts.Classweka.estimatorsWekajavadoc
DiscreteEstimatorBayesSymbolic probability estimator based on symbol counts and a prior.Classweka.classifiers.bayes.net.estimateWekajavadoc
DiscreteEstimatorFullBayesSymbolic probability estimator based on symbol counts and a prior.Classweka.classifiers.bayes.net.estimateWekajavadoc
DiscretizeClass encapsulating a Discretize Expression.Classweka.core.pmmlWekajavadoc
DiscretizeJava class for Discretize element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
Discretize An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.Classweka.filters.supervised.attributeWekajavadoc
Discretize An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.Classweka.filters.unsupervised.attributeWekajavadoc
DiscretizeBinJava class for DiscretizeBin element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
DiscrStatsJava class for DiscrStats element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
DistanceFunctionInterface for any class that can compute and return distances between twoVersion:$Revision: 10535 $Author:Ashraf M.Interfaceweka.coreWekajavadoc
DistributeExperimentPanelThis panel enables an experiment to be distributed to multiple hosts; it also allows remote host names to be specified.Classweka.gui.experimentWekajavadoc
DistributionClass for handling a distribution of class values.Classweka.classifiers.trees.j48Wekajavadoc
DKConditionalEstimatorConditional probability estimator for a discrete domain conditional uponVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs.Classweka.estimatorsWekajavadoc
DNConditionalEstimatorConditional probability estimator for a discrete domain conditional uponVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs.Classweka.estimatorsWekajavadoc
DocumentPrintingDocumentPrinting is a class that lets you print documents on the fly for free ;) Printing in JDK 1.Classweka.guiWekajavadoc
DocumentTermMatrixJava class for DocumentTermMatrix element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
DotParserThis class parses input in DOT format, and builds the datastructures that are passed to it.Classweka.gui.graphvisualizerWekajavadoc

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DrawableInterface to something that can be drawn as a graph.Interfaceweka.coreWekajavadoc
DummyA "dummy" no-op stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWekajavadoc
EdgeThis class is used in conjunction with the Node class to form a tree structure.Classweka.gui.treevisualizerWekajavadoc
EditableBayesNet Bayes Network learning using various search algorithms and quality measures.Classweka.classifiers.bayes.netWekajavadoc
EigenvalueDecompositionEigenvalues and eigenvectors of a real matrix.Classweka.core.matrixWekajavadoc
EM Simple EM (expectation maximisation) class.Classweka.clusterersWekajavadoc
EntropyBasedSplitCritClassweka.classifiers.trees.j48Wekajavadoc
ModelPerformanceChartInteractiveViewInteractive viewer for the ModelPerformanceChart stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
ModelPerformanceChartStepEditorDialogStep editor dialog for the ModelPerformanceChart stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
ModelSelectionAbstract class for model selection criteria.Classweka.classifiers.trees.j48Wekajavadoc
ModelStatsJava class for ModelStats element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ModelVerificationJava class for ModelVerification element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
MultiClassClassifier A metaclassifier for handling multi-class datasets with 2-class classifiers.Classweka.classifiers.metaWekajavadoc
MultiClassClassifierUpdateable A metaclassifier for handling multi-class datasets with 2-class classifiers.Classweka.classifiers.metaWekajavadoc
MultiFilter Applies several filters successively.Classweka.filtersWekajavadoc
MultiInstanceCapabilitiesHandlerMulti-Instance classifiers can specify an additional Capabilities object for the data in the relational attribute, since the format of multi-instanceInterfaceweka.coreWekajavadoc
MultilayerPerceptron A Classifier that uses backpropagation to classify This network can be built by hand, created by an algorithm or both.Classweka.classifiers.functionsWekajavadoc
MultiNomialBMAEstimator Multinomial BMA Estimator.Classweka.classifiers.bayes.net.estimateWekajavadoc
MultipleClassifiersCombinerAbstract utility class for handling settings common to meta classifiers that build an ensemble from multiple classifiers.Classweka.classifiersWekajavadoc
MULTIPLEMODELMETHODenum MULTIPLEMODELMETHODJava class for MULTIPLE-MODEL-METHOD.Classweka.core.pmml.jaxbbindingsWekajavadoc
MultiScheme Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data.Classweka.classifiers.metaWekajavadoc
MultiStopwords Applies the specified stopwords algorithms one after other.Classweka.core.stopwordsWekajavadoc
MultivariateEstimatorInterface to Multivariate Distribution EstimationVersion:$Revision: 12743 $Author:Uday Kamath, PhD candidate George Mason UniversityInterfaceweka.estimatorsWekajavadoc
MultivariateGaussianEstimatorClassweka.estimatorsWekajavadoc
MultivariateStatJava class for MultivariateStat element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc

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MultivariateStatsJava class for MultivariateStats element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
NaiveBayes Class for a Naive Bayes classifier using estimator classes.Classweka.classifiers.bayesWekajavadoc
NaiveBayes The NaiveBayes class generates a fixed Bayes network structure with arrows from the class variable to each of the attribute variables.Classweka.classifiers.bayes.net.search.fixedWekajavadoc
NaiveBayesModelJava class for NaiveBayesModel element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
NaiveBayesMultinomialText Multinomial naive bayes for text data.Classweka.classifiers.bayesWekajavadoc
NaiveBayesUpdateable Class for a Naive Bayes classifier using estimator classes.Classweka.classifiers.bayesWekajavadoc
NamedColorThis class contains a color name and the rgb values of that colorVersion:$Revision: 8034 $Author:Malcolm Ware (mfw4@cs.Classweka.gui.treevisualizerWekajavadoc
NBNodeClassweka.classifiers.trees.htWekajavadoc
NBNodeAdaptive Bayes for predictionVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWekajavadoc
NBTreeClassifierTreeClass for handling a naive bayes tree structure used for classification.Classweka.classifiers.trees.j48Wekajavadoc
NBTreeModelSelectionClass for selecting a NB tree split.Classweka.classifiers.trees.j48Wekajavadoc
NBTreeNoSplitClass implementing a "no-split"-split (leaf node) for naive bayesVersion:$Revision: 10531 $Author:Mark Hall (mhall@cs.Classweka.classifiers.trees.j48Wekajavadoc
NBTreeSplitClass implementing a NBTree split on an attribute.Classweka.classifiers.trees.j48Wekajavadoc
NDConditionalEstimatorConditional probability estimator for a numeric domain conditional upon a discrete domain (utilises separate normal estimators for each discreteClassweka.estimatorsWekajavadoc
NearestNeighborModelJava class for NearestNeighborModel element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
NearestNeighbourSearchAbstract class for nearest neighbour search.Classweka.core.neighboursearchWekajavadoc
NeuralConnectionAbstract unit in a NeuralNetwork.Classweka.classifiers.functions.neuralWekajavadoc
NeuralInputJava class for NeuralInput element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
NeuralInputsJava class for NeuralInputs element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
NeuralLayerJava class for NeuralLayer element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
NeuralMethodThis is an interface used to create classes that can be used by the neuralnode to perform all it's computations.Interfaceweka.classifiers.functions.neuralWekajavadoc
NeuralNetworkClass implementing import of PMML Neural Network model.Classweka.classifiers.pmml.consumerWekajavadoc
NeuralNetworkJava class for NeuralNetwork element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
NeuralNodeThis class is used to represent a node in the neuralnet.Classweka.classifiers.functions.neuralWekajavadoc
NeuralOutputJava class for NeuralOutput element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc

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NeuralOutputsJava class for NeuralOutputs element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
NeuronJava class for Neuron element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
NGramTokenizer Splits a string into an n-gram with min and max Valid options are:Classweka.core.tokenizersWekajavadoc
NNConditionalEstimatorConditional probability estimator for a numeric domain conditional upon a numeric domain (using Mahalanobis distance).Classweka.estimatorsWekajavadoc
NNNORMALIZATIONMETHODenum NNNORMALIZATIONMETHODJava class for NN-NORMALIZATION-METHOD.Classweka.core.pmml.jaxbbindingsWekajavadoc
NodeInterfaceweka.core.expressionlanguage.coreWekajavadoc
NodeJava class for Node element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
NodeThis class records all the data about a particular node for displaying.Classweka.gui.treevisualizerWekajavadoc
NodePlaceThis is an interface for classes that wish to take a node structure and Version:$Revision: 8034 $Author:Malcolm F Ware (mfw4@cs.Interfaceweka.gui.treevisualizerWekajavadoc
NoMacrosA macro declarations that contains no macros at allVersion:$Revision: 1000 $Author:Benjamin Weber ( benweber at student dot ethz dot ch )Classweka.core.expressionlanguage.commonWekajavadoc
NominalAttributeInfoStores information for nominal and string attributes.Classweka.coreWekajavadoc
NominalConditionalSufficientStatsMaintains sufficient stats for the distribution of a nominal attributeVersion:$Revision: 10432 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWekajavadoc
NominalItemClass that encapsulates a nominal item.Classweka.associationsWekajavadoc
NominalPredictionEncapsulates an evaluatable nominal prediction: the predicted probability distribution plus the actual class value.Classweka.classifiers.evaluationWekajavadoc
NominalToBinary Converts all nominal attributes into binary numeric attributes.Classweka.filters.supervised.attributeWekajavadoc
NominalToBinary Converts all nominal attributes into binary numeric attributes.Classweka.filters.unsupervised.attributeWekajavadoc
NominalToString Converts a nominal attribute (i.Classweka.filters.unsupervised.attributeWekajavadoc
NonSparseToSparse An instance filter that converts all incoming instances into sparse format.Classweka.filters.unsupervised.instanceWekajavadoc
NormalEstimatorSimple probability estimator that places a single normal distribution over the observed values.Classweka.estimatorsWekajavadoc
NormalizableDistanceRepresents the abstract ancestor for normalizable distance functions, like Euclidean or Manhattan distance.Classweka.coreWekajavadoc
Normalize Normalizes all numeric values in the given dataset (apart from the class attribute, if set).Classweka.filters.unsupervised.attributeWekajavadoc
NormalizedPolyKernel The normalized polynomial kernel.Classweka.classifiers.functions.supportVectorWekajavadoc
NormContinuousJava class for NormContinuous element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
NormContinuousClass encapsulating a NormContinuous Expression.Classweka.core.pmmlWekajavadoc
NormDiscreteJava class for NormDiscrete element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc

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NormDiscreteClass encapsulating a NormDiscrete Expression.Classweka.core.pmmlWekajavadoc
NoSplitClass implementing a "no-split"-split.Classweka.classifiers.trees.j48Wekajavadoc
NoSupportForMissingValuesExceptionException that is raised by an object that is unable to process data with missing values.Classweka.coreWekajavadoc
NoteSimple bean for displaying a textual note on the layout.Classweka.gui.beansWekajavadoc
NoteA Knowledge Flow "step" that implements a note on the GUI layoutVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWekajavadoc
NoteBeanInfoBean info class for the Note bean.Classweka.gui.beansWekajavadoc
NoteCustomizerCustomizer for the note component.Classweka.gui.beansWekajavadoc
NoteEditorDialogEditor dialog for NotesVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
NoteVisualVisual representation for the Note "step".Classweka.gui.knowledgeflowWekajavadoc
NotPersistableClassweka.knowledgeflow.stepsWekajavadoc
NOTRUECHILDSTRATEGYenum NOTRUECHILDSTRATEGYJava class for NO-TRUE-CHILD-STRATEGY.Classweka.core.pmml.jaxbbindingsWekajavadoc
NoVariablesA variable declarations that contains no variablesVersion:$Revision: 1000 $Author:Benjamin Weber ( benweber at student dot ethz dot ch )See Also:Serialized FormClassweka.core.expressionlanguage.commonWekajavadoc
Null Suppresses all output.Classweka.classifiers.evaluation.output.predictionWekajavadoc
Null Dummy stopwords scheme, always returns false.Classweka.core.stopwordsWekajavadoc
NullStemmer A dummy stemmer that performs no stemming at all.Classweka.core.stemmersWekajavadoc
NumberOfClustersRequestableInterface to a clusterer that can generate a requested number ofVersion:$Revision: 8034 $Author:Mark HallInterfaceweka.clusterersWekajavadoc
NumericCleaner A filter that 'cleanses' the numeric data from values that are too small, too big or very close to a certain value (e.Classweka.filters.unsupervised.attributeWekajavadoc
NumericInfoJava class for NumericInfo element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
NumericItemClass that encapsulates a numeric item.Classweka.associationsWekajavadoc
NumericPredictionEncapsulates an evaluatable numeric prediction: the predicted class value plus the actual class value.Classweka.classifiers.evaluationWekajavadoc
NumericPredictorJava class for NumericPredictor element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
NumericToBinary Converts all numeric attributes into binary attributes (apart from the class attribute, if set): if the value of theClassweka.filters.unsupervised.attributeWekajavadoc
NumericToNominal A filter for turning numeric attributes into nominal ones.Classweka.filters.unsupervised.attributeWekajavadoc
NumericTransform Transforms numeric attributes using a given transformation method.Classweka.filters.unsupervised.attributeWekajavadoc
Obfuscate A simple instance filter that renames the relation, all attribute names and all nominal (and string) attribute values.Classweka.filters.unsupervised.attributeWekajavadoc

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ObjectFactoryThis object contains factory methods for each Java content interface and Java element interface Classweka.core.pmml.jaxbbindingsWekajavadoc
OffscreenChartRendererInterface to something that can render certain types of chartsVersion:$Revision: 12055 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Interfaceweka.gui.beansWekajavadoc
OneR Class for building and using a 1R classifier; in other words, uses the minimum-error attribute for prediction, discretizingClassweka.classifiers.rulesWekajavadoc
OneRAttributeEval OneRAttributeEval : Evaluates the worth of an attribute by using the OneR classifier.Classweka.attributeSelectionWekajavadoc
OperatorsA class to specify the semantics of operators in the expressionlanguage To move the operator semantics outside the parser they are specifiedClassweka.core.expressionlanguage.commonWekajavadoc
Optimization problem with only bounds constraints in multi-dimensions.Classweka.coreWekajavadoc
OptimumLiftGraphJava class for OptimumLiftGraph element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
OptionClass to store information about an option.Classweka.coreWekajavadoc
OptionHandlerInterface to something that understands options.Interfaceweka.coreWekajavadoc
OptionHandlerJavadocGenerates Javadoc comments from the OptionHandler's options.Classweka.coreWekajavadoc
OptionMetadataMethod annotation that can be used with scheme parameters to provide a nice display-ready name for the parameter, help information and, if applicable,Classweka.coreWekajavadoc
OPTYPEJava class for OPTYPE.Classweka.core.pmml.jaxbbindingsWekajavadoc
OUTLIERTREATMENTMETHODenum OUTLIERTREATMENTMETHODJava class for OUTLIER-TREATMENT-METHOD.Classweka.core.pmml.jaxbbindingsWekajavadoc
OutputJava class for Output element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
OutputFieldJava class for OutputField element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
OutputFormatDialogA dialog for setting various output format parameters.Classweka.gui.experimentWekajavadoc
OutputLoggerA logger that logs all output on stdout and stderr to a file.Classweka.core.loggingWekajavadoc
OutputZipperOutputZipper writes output to either gzipped files or to a multi entry zip file.Classweka.experimentWekajavadoc
PackageAbstract base class for Packages.Classweka.core.packageManagementWekajavadoc
PackageConstraintAbstract base class for package constraints.Classweka.core.packageManagementWekajavadoc
PackageManagerAbstract base class for package managers.Classweka.core.packageManagementWekajavadoc
PackageManagerA GUI interface the the package management system.Classweka.guiWekajavadoc
PairCountsJava class for PairCounts element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
PairedCorrectedTTesterBehaves the same as PairedTTester, only it uses the corrected resampled For more information see:Classweka.experimentWekajavadoc
PairedDataHelper A helper class that Step implementations can use when processing paired data (e.Classweka.knowledgeflow.stepsWekajavadoc

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PairedStatsA class for storing stats on a paired comparison (t-test and correlation)Version:$Revision: 8034 $Author:Len Trigg (trigg@cs.Classweka.experimentWekajavadoc
PairedStatsCorrectedA class for storing stats on a paired comparison.Classweka.experimentWekajavadoc
PairedTTesterCalculates T-Test statistics on data stored in a set of instances.Classweka.experimentWekajavadoc
ParallelIteratedSingleClassifierEnhancerAbstract utility class for handling settings common to meta classifiers that build an ensemble in parallel from a single base learner.Classweka.classifiersWekajavadoc
ParallelMultipleClassifiersCombinerAbstract utility class for handling settings common to meta classifiers that build an ensemble in parallel using multipleClassweka.classifiersWekajavadoc
ParameterJava class for Parameter element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ParameterFieldJava class for ParameterField element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ParameterListJava class for ParameterList element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ParamMatrixJava class for ParamMatrix element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ParentSetHelper class for Bayes Network classifiers.Classweka.classifiers.bayes.netWekajavadoc
ParserCUP v0.Classweka.core.expressionlanguage.parserWekajavadoc
ParserCUP v0.Classweka.core.jsonWekajavadoc
PART Class for generating a PART decision list.Classweka.classifiers.rulesWekajavadoc
PartitionJava class for Partition element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
PartitionedMultiFilter A filter that applies filters on subsets of attributes and assembles the output into a new dataset.Classweka.filters.unsupervised.attributeWekajavadoc
PartitionFieldStatsJava class for PartitionFieldStats element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
PartitionGeneratorThis interface can be implemented by algorithms that generate a partition of the instance space (e.Interfaceweka.coreWekajavadoc
PartitionMembership * A filter that uses a PartitionGenerator to generate partition membership values; filtered instances are composed of these values plus the class attribute (if set in the input data) and rendered as sparse instances.Classweka.filters.supervised.attributeWekajavadoc
PasswordFieldProperty editor widget that wraps and displays a JPasswordField.Classweka.guiWekajavadoc
PasswordPropertyClassweka.guiWekajavadoc
PCellJava class for PCell element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
PCovCellJava class for PCovCell element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
PCovMatrixJava class for PCovMatrix element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
PerformanceStatsThe class that measures the performance of a nearest neighbour search (NNS) algorithm.Classweka.core.neighboursearchWekajavadoc
PerspectiveInterface for GUI elements that can appear as a perspective in a GUIApplication.Interfaceweka.guiWekajavadoc

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PerspectiveInfoClassweka.guiWekajavadoc
PerspectiveManagerManages perspectives and the main menu bar (if visible), holds the currently selected perspective, and implements the perspective button bar.Classweka.guiWekajavadoc
PKIDiscretize Discretizes numeric attributes using equal frequency binning, where the number of bins is equal to the square root ofClassweka.filters.unsupervised.attributeWekajavadoc
PlaceNode1This class will place the Nodes of a tree.Classweka.gui.treevisualizerWekajavadoc
PlaceNode2This class will place the Nodes of a tree.Classweka.gui.treevisualizerWekajavadoc
PlainText Outputs the predictions in plain text.Classweka.classifiers.evaluation.output.predictionWekajavadoc
Plot2DThis class plots datasets in two dimensions.Classweka.gui.visualizeWekajavadoc
Plot2DCompanionInterface for classes that need to draw to the Plot2D panel *before* Plot2D renders anything (eg.Interfaceweka.gui.visualizeWekajavadoc
PlotData2DThis class is a container for plottable data.Classweka.gui.visualizeWekajavadoc
PluginManagerClass that manages a global map of plugins.Classweka.coreWekajavadoc
PluginManagerClass that manages a global map of plugins.Classweka.gui.beansWekajavadoc
PMMLJava class for PMML element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
PMMLClassifierAbstract base class for all PMML classifiers.Classweka.classifiers.pmml.consumerWekajavadoc
PMMLFactoryThis class is a factory class for reading/writing PMML modelsVersion:$Revision: 10203 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.core.pmmlWekajavadoc
PMMLModelInterface for all PMML modelsVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Interfaceweka.core.pmmlWekajavadoc
PMMLProducerInterface to something that can produce a PMML representation of itself.Interfaceweka.core.pmmlWekajavadoc
PMMLUtilsClassweka.core.pmmlWekajavadoc
PNGWriterThis class takes any JComponent and outputs it to a PNG-file.Classweka.gui.visualizeWekajavadoc
PointsClosestToFurthestChildren Implements the Moore's method to split a node of a For more information please see section 2 of the 1st and 3.Classweka.core.neighboursearch.balltreesWekajavadoc
PoissonDistributionJava class for PoissonDistribution element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
PoissonEstimatorSimple probability estimator that places a single Poisson distribution over the observed values.Classweka.estimatorsWekajavadoc
PolyKernel The polynomial kernel : K(x, y) = ^p or K(x, y) = (+1)^pClassweka.classifiers.functions.supportVectorWekajavadoc
PolynomialKernelTypeJava class for PolynomialKernelType element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
PostscriptGraphicsThe PostscriptGraphics class extends the Graphics2D class to produce an encapsulated postscript file rather than on-screen display.Classweka.gui.visualizeWekajavadoc
PostscriptWriterThis class takes any Component and outputs it to a Postscript file.Classweka.gui.visualizeWekajavadoc

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PotentialClassIgnorerThis filter should be extended by other unsupervised attribute filters to allow processing of the class attribute if that's required.Classweka.filters.unsupervised.attributeWekajavadoc
PPCellJava class for PPCell element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
PPMatrixJava class for PPMatrix element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
PrecomputedKernelMatrixKernel This kernel is based on a static kernel matrix that is read from a file.Classweka.classifiers.functions.supportVectorWekajavadoc
PreConstructedLinearModelThis class encapsulates a linear regression function.Classweka.classifiers.trees.m5Wekajavadoc
PredictionEncapsulates a single evaluatable prediction: the predicted value plus the actual class value.Interfaceweka.classifiers.evaluationWekajavadoc
PredictionAppenderBean that can can accept batch or incremental classifier events and produce dataset or instance events which contain instances with predictions appended.Classweka.gui.beansWekajavadoc
PredictionAppenderStep that can produce data with predictions appended from batch or incremental classifiers and clusterersClassweka.knowledgeflow.stepsWekajavadoc
PredictionAppenderBeanInfoBean info class for PredictionAppender.Classweka.gui.beansWekajavadoc
PredictionAppenderCustomizerGUI Customizer for the prediction appender beanVersion:$Revision: 12107 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc
PredictiveModelQualityJava class for PredictiveModelQuality element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
PredictorJava class for Predictor element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
PredictorTermJava class for PredictorTerm element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
PreprocessPanelThis panel controls simple preprocessing of instances.Classweka.gui.explorerWekajavadoc
PrimitivesA class providing AST (abstract syntax tree) nodes to support primitive types.Classweka.core.expressionlanguage.commonWekajavadoc
PrincipalComponents Performs a principal components analysis and transformation of the data.Classweka.attributeSelectionWekajavadoc
PrincipalComponents Performs a principal components analysis and transformation of the data.Classweka.filters.unsupervised.attributeWekajavadoc
PrintableComponentThis class extends the component which is handed over in the constructor by a print dialog.Classweka.gui.visualizeWekajavadoc
PrintableHandlerThis interface is for all JComponent classes that provide the ability to print itself to a file.Interfaceweka.gui.visualizeWekajavadoc
PrintablePanelThis Panel enables the user to print the panel to various file formats.Classweka.gui.visualizeWekajavadoc
ProgrammaticPropertyClassweka.guiWekajavadoc
PropertyDialogSupport for PropertyEditors with custom editors: puts the editor intoVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs.Classweka.guiWekajavadoc
PropertyHandlerThis class stores information about properties to ignore or properties that are allowed for a certain class.Classweka.core.xmlWekajavadoc
PropertyNodeStores information on a property of an object: the class of the object with the property; the property descriptor, and the current value.Classweka.experimentWekajavadoc
PropertyPanelSupport for drawing a property value in a component.Classweka.guiWekajavadoc

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PropertyPathA helper class for accessing properties in nested objects, e.Classweka.coreWekajavadoc
PropertySelectorDialogAllows the user to select any (supported) property of an object, including properties that any of it's property values may have.Classweka.guiWekajavadoc
PropertySheetPanelDisplays a property sheet where (supported) properties of the target objectVersion:$Revision: 12016 $Author:Len Trigg (trigg@cs.Classweka.guiWekajavadoc
ProtectedPropertiesSimple class that extends the Properties class so that the properties are unable to be modified.Classweka.coreWekajavadoc
PruneableClassifierTreeClass for handling a tree structure that can be pruned using a pruning set.Classweka.classifiers.trees.j48Wekajavadoc
PruneableDecListClass for handling a partial tree structure that can be pruned using aVersion:$Revision: 10153 $Author:Eibe Frank (eibe@cs.Classweka.classifiers.rules.partWekajavadoc
Puk The Pearson VII function-based universal kernel.Classweka.classifiers.functions.supportVectorWekajavadoc
QRDecomposition For an m-by-n matrix A with m >= n, the QR decomposition is an m-by-n orthogonal matrix Q and an n-by-n upper triangular matrix R so that A = Q*R.Classweka.core.matrixWekajavadoc
QuantileJava class for Quantile element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
QueryExecuteEventAn event that is generated when a query is executed.Classweka.gui.sql.eventWekajavadoc
QueryExecuteListenerA listener for executing queries.Interfaceweka.gui.sql.eventWekajavadoc
QueryPanelRepresents a panel for entering an SQL query.Classweka.gui.sqlWekajavadoc
QueueClass representing a FIFO queue.Classweka.coreWekajavadoc
RadialBasisKernelTypeJava class for RadialBasisKernelType element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
Rainbow Stopwords list based on Rainbow: http://www.Classweka.core.stopwordsWekajavadoc
RandomCommittee Class for building an ensemble of randomizable base classifiers.Classweka.classifiers.metaWekajavadoc
RandomForest Class for constructing a forest of random trees.Classweka.classifiers.treesWekajavadoc
RandomizableInterface to something that has random behaviour that is able to be seeded with an integer.Interfaceweka.coreWekajavadoc
RandomizableClassifierAbstract utility class for handling settings common to randomizableVersion:$Revision: 10141 $Author:Eibe Frank (eibe@cs.Classweka.classifiersWekajavadoc
RandomizableClustererAbstract utility class for handling settings common to randomizableVersion:$Revision: 10601 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized FormClassweka.clusterersWekajavadoc
RandomizableDensityBasedClustererAbstract utility class for handling settings common to randomizableVersion:$Revision: 10203 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized FormClassweka.clusterersWekajavadoc
RandomizableFilteredClassifier Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.Classweka.classifiers.metaWekajavadoc
RandomizableIteratedSingleClassifierEnhancerAbstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.Classweka.classifiersWekajavadoc
RandomizableMultipleClassifiersCombinerAbstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from multiple classifiers basedClassweka.classifiersWekajavadoc
RandomizableParallelIteratedSingleClassifierEnhancerAbstract utility class for handling settings common to randomizable meta classifiers that build an ensemble in parallel from a single baseClassweka.classifiersWekajavadoc

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RandomizableParallelMultipleClassifiersCombinerAbstract utility class for handling settings common to meta classifiers that build an ensemble in parallel using multipleClassweka.classifiersWekajavadoc
RandomizableSingleClassifierEnhancerAbstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.Classweka.classifiersWekajavadoc
RandomizableSingleClustererEnhancerAbstract utility class for handling settings common to randomizableVersion:$Revision: 10203 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized FormClassweka.clusterersWekajavadoc
Randomize Randomly shuffles the order of instances passed through it.Classweka.filters.unsupervised.instanceWekajavadoc
RandomLiftGraphJava class for RandomLiftGraph element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
RandomProjection Reduces the dimensionality of the data by projecting it onto a lower dimensional subspace using a random matrix with columns of unit length (i.Classweka.filters.unsupervised.attributeWekajavadoc
RandomRBF RandomRBF data is generated by first creating a random set of centers for each class.Classweka.datagenerators.classifiers.classificationWekajavadoc
RandomSplitResultProducer Generates a single train/test split and calls the appropriate SplitEvaluator to generate some results.Classweka.experimentWekajavadoc
RandomSubset Chooses a random subset of attributes, either an absolute number or a percentage.Classweka.filters.unsupervised.attributeWekajavadoc
RandomSubSpace This method constructs a decision tree based classifier that maintains highest accuracy on training data and improves on generalization accuracy as it grows in complexity.Classweka.classifiers.metaWekajavadoc
RandomTree Class for constructing a tree that considers K randomly chosen attributes at each node.Classweka.classifiers.treesWekajavadoc
RandomVariatesClass implementing some simple random variates generator.Classweka.coreWekajavadoc
RangeClass representing a range of cardinal numbers.Classweka.coreWekajavadoc
RankedOutputSearchInterface for search methods capable of producing a ranked list of attributes.Interfaceweka.attributeSelectionWekajavadoc
Ranker Ranks attributes by their individual evaluations.Classweka.attributeSelectionWekajavadoc
RBFKernel The RBF kernel.Classweka.classifiers.functions.supportVectorWekajavadoc
RDG1 A data generator that produces data randomly by producing a decision list.Classweka.datagenerators.classifiers.classificationWekajavadoc
ReaderToTextPaneA class that sends all lines from a reader to a JTextPane component.Classweka.guiWekajavadoc
REALSparseArrayJava class for REAL-SparseArray element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
RegExpFromFile Uses the regular expressions stored in the file for determining whether a word is a stopword (ignored if pointing to a directory).Classweka.core.stopwordsWekajavadoc
RegOptimizerBase class implementation for learning algorithm of SMOreg Valid options are:Classweka.classifiers.functions.supportVectorWekajavadoc
RegressionClass implementing import of PMML Regression model.Classweka.classifiers.pmml.consumerWekajavadoc
RegressionJava class for Regression element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
RegressionAnalysisAnalyzes linear regression model by using the Student's t-test on each coefficient.Classweka.classifiers.evaluationWekajavadoc
RegressionByDiscretization A regression scheme that employs any classifier on a copy of the data that has the class attribute (equal-width) discretized.Classweka.classifiers.metaWekajavadoc

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RegressionGeneratorAbstract class for data generators for regression classifiers.Classweka.datageneratorsWekajavadoc
RegressionModelJava class for RegressionModel element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
REGRESSIONNORMALIZATIONMETHODenum REGRESSIONNORMALIZATIONMETHODJava class for REGRESSIONNORMALIZATIONMETHOD.Classweka.core.pmml.jaxbbindingsWekajavadoc
RegressionSplitEvaluator A SplitEvaluator that produces results for a classification scheme on a numeric class attribute.Classweka.experimentWekajavadoc
RegressionTableJava class for RegressionTable element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
RegSMO Implementation of SMO for support vector regression A.Classweka.classifiers.functions.supportVectorWekajavadoc
RegSMOImproved Learn SVM for regression using SMO with Shevade, Keerthi, et al.Classweka.classifiers.functions.supportVectorWekajavadoc
RelationalAttributeInfoStores information for relational attributes.Classweka.coreWekajavadoc
RelationalLocatorThis class locates and records the indices of relational attributes,Version:$Revision: 12038 $Author:fracpete (fracpete at waikato dot ac dot nz)See Also:Attribute.Classweka.coreWekajavadoc
ReliefFAttributeEval ReliefFAttributeEval : Evaluates the worth of an attribute by repeatedly sampling an instance andClassweka.attributeSelectionWekajavadoc
RemoteBoundaryVisualizerSubTaskClass that encapsulates a sub task for distributed boundary visualization.Classweka.gui.boundaryvisualizerWekajavadoc
RemoteEngineA general purpose server for executing Task objects sent via RMI.Classweka.experimentWekajavadoc
RemoteExperimentHolds all the necessary configuration information for a distributed experiment.Classweka.experimentWekajavadoc
RemoteExperimentEventClass encapsulating information on progress of a remote experimentVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.Classweka.experimentWekajavadoc
RemoteExperimentListenerInterface for classes that want to listen for updates on RemoteExperimentVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.Interfaceweka.experimentWekajavadoc
RemoteExperimentSubTaskClass to encapsulate an experiment as a task that can be executed on a remoteVersion:$Revision: 10204 $Author:Mark Hall (mhall@cs.Classweka.experimentWekajavadoc
RemoteResultClass that encapsulates a result (and progress info) for part of a distributed boundary visualization.Classweka.gui.boundaryvisualizerWekajavadoc
Remove An filter that removes a range of attributes from the dataset.Classweka.filters.unsupervised.attributeWekajavadoc
RemoveByName Removes attributes based on a regular expression matched against their names.Classweka.filters.unsupervised.attributeWekajavadoc
RemoveDuplicates Removes all duplicate instances from the first batch of data it receives.Classweka.filters.unsupervised.instanceWekajavadoc
RemoveFolds This filter takes a dataset and outputs a specified fold for cross validation.Classweka.filters.unsupervised.instanceWekajavadoc
RemoveFrequentValues Determines which values (frequent or infrequent ones) of an (nominal) attribute are retained and filters the instancesClassweka.filters.unsupervised.instanceWekajavadoc
RemoveMisclassified A filter that removes instances which are incorrectly classified.Classweka.filters.unsupervised.instanceWekajavadoc
RemovePercentage A filter that removes a given percentage of a Valid options are:Classweka.filters.unsupervised.instanceWekajavadoc
RemoveRange A filter that removes a given range of instances of Valid options are:Classweka.filters.unsupervised.instanceWekajavadoc

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RemoveType Removes attributes of a given type.Classweka.filters.unsupervised.attributeWekajavadoc
RemoveUseless This filter removes attributes that do not vary at all or that vary too much.Classweka.filters.unsupervised.attributeWekajavadoc
RemoveWithValues Filters instances according to the value of an Valid options are:Classweka.filters.unsupervised.instanceWekajavadoc
RenameAttribute This filter is used for renaming attribute names.Classweka.filters.unsupervised.attributeWekajavadoc
RenameNominalValues Renames the values of nominal attributes.Classweka.filters.unsupervised.attributeWekajavadoc
Reorder A filter that generates output with a new order of the attributes.Classweka.filters.unsupervised.attributeWekajavadoc
RepeatedHillClimber This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure andClassweka.classifiers.bayes.net.search.globalWekajavadoc
RepeatedHillClimber This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure andClassweka.classifiers.bayes.net.search.localWekajavadoc
ReplaceMissingValues Replaces all missing values for nominal and numeric attributes in a dataset with the modes and means from the training data.Classweka.filters.unsupervised.attributeWekajavadoc
ReplaceMissingWithUserConstant Replaces all missing values for nominal, string, numeric and date attributes in the dataset with user-supplied constantClassweka.filters.unsupervised.attributeWekajavadoc
ReplaceWithMissingValue A filter that can be used to introduce missing values in a dataset.Classweka.filters.unsupervised.attributeWekajavadoc
RepositoryIndexGeneratorClass for generating html index files and supporting text files for a Weka package meta data repository.Classweka.coreWekajavadoc
REPTree Fast decision tree learner.Classweka.classifiers.treesWekajavadoc
Resample Produces a random subsample of a dataset using either sampling with replacement or without replacement.Classweka.filters.supervised.instanceWekajavadoc
Resample Produces a random subsample of a dataset using either sampling with replacement or without replacement.Classweka.filters.unsupervised.instanceWekajavadoc
ResampleUtilsHelper class for resampling.Classweka.coreWekajavadoc
ReservoirSample Produces a random subsample of a dataset using the reservoir sampling Algorithm "R" by Vitter.Classweka.filters.unsupervised.instanceWekajavadoc
ResidualModelSelectionHelper class for logistic model trees (weka.Classweka.classifiers.trees.lmtWekajavadoc
ResidualSplitHelper class for logistic model trees (weka.Classweka.classifiers.trees.lmtWekajavadoc
ResultChangedEventAn event that is generated when a different Result is activated in theVersion:$Revision: 8034 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:ResultChangedListener, Classweka.gui.sql.eventWekajavadoc
ResultChangedListenerA listener that is notified if another Result is activated in theVersion:$Revision: 8034 $Author:FracPete (fracpete at waikato dot ac dot nz)Interfaceweka.gui.sql.eventWekajavadoc
RESULTFEATUREJava class for RESULT-FEATURE.Classweka.core.pmml.jaxbbindingsWekajavadoc
ResultFieldJava class for ResultField element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ResultHistoryPanelA component that accepts named stringbuffers and displays the name in a list box.Classweka.guiWekajavadoc
ResultListenerInterface for objects able to listen for results obtained by a ResultProducerInterfaceweka.experimentWekajavadoc

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ResultMatrixThis matrix is a container for the datasets and classifier setups and their statistics.Classweka.experimentWekajavadoc
ResultMatrixCSV Generates the matrix in CSV ('comma-separated values') format.Classweka.experimentWekajavadoc
ResultMatrixGnuPlot Generates output for a data and script file for GnuPlot.Classweka.experimentWekajavadoc
ResultMatrixHTML Generates the matrix output as HTML.Classweka.experimentWekajavadoc
ResultMatrixLatex Generates the matrix output in LaTeX-syntax.Classweka.experimentWekajavadoc
ResultMatrixPlainText Generates the output as plain text (for fixed width Valid options are:Classweka.experimentWekajavadoc
ResultMatrixSignificance Only outputs the significance indicators.Classweka.experimentWekajavadoc
ResultPanelRepresents a panel for displaying the results of a query in table format.Classweka.gui.sqlWekajavadoc
ResultProducerThis interface defines the methods required for an object that produces results for different randomizations of a dataset.Interfaceweka.experimentWekajavadoc
ResultSetHelperRepresents an extended JTable, containing a table model based on a ResultSet and the corresponding query.Classweka.gui.sqlWekajavadoc
ResultSetTableRepresents an extended JTable, containing a table model based on a ResultSet and the corresponding query.Classweka.gui.sqlWekajavadoc
ResultSetTableCellRendererHandles the background colors for missing values differently than the DefaultTableCellRenderer.Classweka.gui.sqlWekajavadoc
ResultSetTableModelThe model for an SQL ResultSet.Classweka.gui.sqlWekajavadoc
ResultsPanelThis panel controls simple analysis of experimental results.Classweka.gui.experimentWekajavadoc
RevisionHandlerFor classes that should return their source control revision.Interfaceweka.coreWekajavadoc
RevisionUtilsContains utility functions for handling revisions.Classweka.coreWekajavadoc
ROCJava class for ROC element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ROCGraphJava class for ROCGraph element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
RowJava class for row element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
RuleAbstract class of generic ruleVersion:$Revision: 8034 $Author:Xin Xu (xx5@cs.Classweka.classifiers.rulesWekajavadoc
RuleGenerates a single m5 tree or ruleVersion:$Revision: 10169 $Author:Mark HallSee Also:Serialized FormClassweka.classifiers.trees.m5Wekajavadoc
RULEFEATUREJava class for RULE-FEATURE.Classweka.core.pmml.jaxbbindingsWekajavadoc
RuleNodeConstructs a node for use in an m5 tree or ruleVersion:$Revision: 10283 $Author:Mark Hall (mhall@cs.Classweka.classifiers.trees.m5Wekajavadoc
RuleSelectionMethodJava class for RuleSelectionMethod element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
RuleSetJava class for RuleSet element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc

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RuleSetModelClass implementing import of PMML RuleSetModel.Classweka.classifiers.pmml.consumerWekajavadoc
RuleSetModelJava class for RuleSetModel element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
RuleStatsThis class implements the statistics functions used in the propositional rule learner, from the simpler ones like count of true/false positive/negatives,Classweka.classifiers.rulesWekajavadoc
RunHelper class that executes Weka schemes from the command line.ClasswekaWekajavadoc
RunNumberPanelThis panel controls configuration of lower and upper run numbersVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs.Classweka.gui.experimentWekajavadoc
RunPanelThis panel controls the running of an experiment.Classweka.gui.experimentWekajavadoc
SaveBufferThis class handles the saving of StringBuffers to files.Classweka.guiWekajavadoc
SaverInterface to something that can save Instances to an output destination in someVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.Interfaceweka.core.convertersWekajavadoc
SaverSaves data sets using weka.Classweka.gui.beansWekajavadoc
SaverStep that wraps weka.Classweka.knowledgeflow.stepsWekajavadoc
SaverBeanInfoBean info class for the saver beanVersion:$Revision: 8034 $Author:Stefan MutterClassweka.gui.beansWekajavadoc
SaverCustomizerGUI Customizer for the saver beanVersion:$Revision: 8034 $Author:Stefan MutterSee Also:Serialized FormClassweka.gui.beansWekajavadoc
SaverStepEditorDialogEditor dialog for the saver stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
ScannerA lexical scanner for an expression language.Classweka.core.expressionlanguage.parserWekajavadoc
ScannerA scanner for JSON data files.Classweka.core.jsonWekajavadoc
ScatterPlotMatrixBean that encapsulates weka.Classweka.gui.beansWekajavadoc
ScatterPlotMatrixStep that collects data for display in a scatter plot matrix.Classweka.knowledgeflow.stepsWekajavadoc
ScatterPlotMatrixBeanInfoBean info class for the scatter plot matrix beanVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWekajavadoc
ScatterPlotMatrixInteractiveViewInteractive viewer for the ScatterPlotMatrix stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
ScatterPlotMatrixPerspectiveKnowledge Flow perspective for the scatter plot matrixVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflowWekajavadoc
ScoreableInterface for allowing to score a classifierVersion:$Revision: 8034 $Author:Remco Bouckaert (rrb@xm.Interfaceweka.classifiers.bayes.net.search.localWekajavadoc
ScorecardJava class for Scorecard element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ScoreDistributionJava class for ScoreDistribution element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ScriptExecutionEventEvent that gets sent when a script is executed.Classweka.gui.scripting.eventWekajavadoc
ScriptExecutionListenerFor classes that want to be notified about changes in the script execution.Interfaceweka.gui.scripting.eventWekajavadoc

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ScriptingPanelAbstract ancestor for scripting panels.Classweka.gui.scriptingWekajavadoc
ScriptUtilsA helper class for Script related stuff.Classweka.gui.scriptingWekajavadoc
SearchAlgorithmThis is the base class for all search algorithms for learning Bayes networks.Classweka.classifiers.bayes.net.searchWekajavadoc
SeasonalityExpoSmoothJava class for Seasonality_ExpoSmooth element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SegmentJava class for Segment element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SegmentationJava class for Segmentation element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SelectedTagRepresents a selected value from a finite set of values, where each value is a Tag (i.Classweka.coreWekajavadoc
SelectedTagEditorA PropertyEditor that uses tags, where the tags are obtained from a weka.Classweka.guiWekajavadoc
SemanticExceptionAn exception that should be used if a program doesn't have valid semanticsVersion:$Revision: 1000 $Author:Benjamin Weber ( benweber at student dot ethz dot ch )See Also:Serialized FormClassweka.core.expressionlanguage.coreWekajavadoc
SequenceJava class for Sequence element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SequenceModelJava class for SequenceModel element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SequenceReferenceJava class for SequenceReference element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SequenceRuleJava class for SequenceRule element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SerialInstanceListenerDefines an interface for objects able to produce two output streams ofVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs.Interfaceweka.gui.streamsWekajavadoc
SerializationHelperA helper class for determining serialVersionUIDs and checking whether classes contain one and/or need one.Classweka.coreWekajavadoc
SerializedClassifier A wrapper around a serialized classifier model.Classweka.classifiers.miscWekajavadoc
SerializedInstancesLoader Reads a source that contains serialized Instances.Classweka.core.convertersWekajavadoc
SerializedInstancesSaver Serializes the instances to a file with extension bsi.Classweka.core.convertersWekajavadoc
SerializedModelSaverA bean that saves serialized modelsVersion:$Revision: 11077 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}orgSee Also:Serialized FormClassweka.gui.beansWekajavadoc
SerializedModelSaverStep that can save models encapsulated in incoming Data objects toVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWekajavadoc
SerializedModelSaverBeanInfoBean info class for the serialized model saver beanVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}orgClassweka.gui.beansWekajavadoc
SerializedModelSaverCustomizerGUI Customizer for the SerializedModelSaver beanVersion:$Revision: 11076 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}orgSee Also:Serialized FormClassweka.gui.beansWekajavadoc
SerializedObjectClass for storing an object in serialized form in memory.Classweka.coreWekajavadoc
SerialUIDChangerThis class enables one to change the UID of a serialized object and therefore not losing the data stored in the binary format.Classweka.core.xmlWekajavadoc
SetInstancesPanelA panel that displays an instance summary for a set of instances and lets the user open a set of instances from either a file or URL.Classweka.guiWekajavadoc

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SetPredicateJava class for SetPredicate element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SetReferenceJava class for SetReference element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SettingsMaintains a collection of settings.Classweka.coreWekajavadoc
SettingsEditorProvides a panel for editing application and perspective settingsVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.guiWekajavadoc
SetupModePanelThis panel switches between simple and advanced experiment setup panels.Classweka.gui.experimentWekajavadoc
SetupPanelThis panel controls the configuration of an experiment.Classweka.gui.experimentWekajavadoc
SetVariablesStep that can be used to set the values of environment variables for the flow being executed.Classweka.knowledgeflow.stepsWekajavadoc
SetVariablesStepEditorDialogEditor dialog for the SetVariables stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
SGD Implements stochastic gradient descent for learning various linear models (binary class SVM, binary class logistic regression, squared loss, Huber loss and epsilon-insensitive loss linear regression).Classweka.classifiers.functionsWekajavadoc
SGDText Implements stochastic gradient descent for learning a linear binary class SVM or binary class logistic regression on text data.Classweka.classifiers.functionsWekajavadoc
ShadowBorderClassweka.gui.beansWekajavadoc
ShadowBorderBorder implementation that provides a drop shadowVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflowWekajavadoc
SigmoidKernelTypeJava class for SigmoidKernelType element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SigmoidUnitThis can be used by the neuralnode to perform all it's computations (as a sigmoid unit).Classweka.classifiers.functions.neuralWekajavadoc
SimpleBatchFilterThis filter is a superclass for simple batch filters.Classweka.filtersWekajavadoc
SimpleCLICreates a very simple command line for invoking the main method of classes.Classweka.guiWekajavadoc
SimpleCLIPanelCreates a very simple command line for invoking the main method of classes.Classweka.guiWekajavadoc
SimpleDateFormatEditorClass for editing SimpleDateFormat strings.Classweka.guiWekajavadoc
SimpleEstimator SimpleEstimator is used for estimating the conditional probability tables of a Bayes network once the structure has beenClassweka.classifiers.bayes.net.estimateWekajavadoc
SimpleFilterThis filter contains common behavior of the SimpleBatchFilter and the SimpleStreamFilter.Classweka.filtersWekajavadoc
SimpleKMeans Cluster data using the k means algorithm.Classweka.clusterersWekajavadoc
SimpleLinearRegression Learns a simple linear regression model.Classweka.classifiers.functionsWekajavadoc
SimpleLinearRegressionStripped down version of SimpleLinearRegression.Classweka.classifiers.trees.lmtWekajavadoc
SimpleLogistic Classifier for building linear logistic regression models.Classweka.classifiers.functionsWekajavadoc
SimpleMatchingJava class for simpleMatching element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc

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SimplePredicateJava class for SimplePredicate element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SimpleRuleJava class for SimpleRule element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SimpleSetPredicateJava class for SimpleSetPredicate element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SimpleSetupPanelThis panel controls the configuration of an experiment.Classweka.gui.experimentWekajavadoc
SimpleStreamFilterThis filter is a superclass for simple stream filters.Classweka.filtersWekajavadoc
SimpleVariableDeclarationsA set of customizable variable declarations for primitive types.Classweka.core.expressionlanguage.commonWekajavadoc
SimulatedAnnealing This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoringClassweka.classifiers.bayes.net.search.globalWekajavadoc
SimulatedAnnealing This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoringClassweka.classifiers.bayes.net.search.localWekajavadoc
SingleAssociatorEnhancerAbstract utility class for handling settings common to meta associators that use a single base associator.Classweka.associationsWekajavadoc
SingleClassifierEnhancerAbstract utility class for handling settings common to meta classifiers that use a single base learner.Classweka.classifiersWekajavadoc
SingleClustererEnhancerMeta-clusterer for enhancing a base clusterer.Classweka.clusterersWekajavadoc
SingleIndexClass representing a single cardinal number.Classweka.coreWekajavadoc
SingularValueDecompositionSingular Value Decomposition.Classweka.core.matrixWekajavadoc
SlidingMidPointOfWidestSide The class that splits a node into two based on the midpoint value of the dimension in which the node's rectangle is widest.Classweka.core.neighboursearch.kdtreesWekajavadoc
SMO Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier.Classweka.classifiers.functionsWekajavadoc
SMOreg SMOreg implements the support vector machine for regression.Classweka.classifiers.functionsWekajavadoc
SMOsetStores a set of integer of a given size.Classweka.classifiers.functions.supportVectorWekajavadoc
SnowballStemmer A wrapper class for the Snowball stemmers.Classweka.core.stemmersWekajavadoc
SortedTableModelRepresents a TableModel with sorting functionality.Classweka.guiWekajavadoc
Sorter Sorts incoming instances in ascending or descending order according to the values of user specified attributes.Classweka.gui.beansWekajavadoc
SorterStep for sorting instances according to one or more attributes.Classweka.knowledgeflow.stepsWekajavadoc
SorterBeanInfoBeanInfo class for the Sorter stepVersion:$Revision: 8051 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.beansWekajavadoc
SorterCustomizerCustomizer for the Sorter stepVersion:$Revision: 8051 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.beansWekajavadoc
SorterStepEditorDialogStep editor dialog for the Sorter stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
SortLabels A simple filter for sorting the labels of nominal Valid options are:Classweka.filters.unsupervised.attributeWekajavadoc

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SourcableInterface for classifiers that can be converted to Java source.Interfaceweka.classifiersWekajavadoc
SourcableInterface for filters that can be converted to Java source.Interfaceweka.filtersWekajavadoc
SparseArrayClassweka.core.pmmlWekajavadoc
SparseInstanceClass for storing an instance as a sparse vector.Classweka.coreWekajavadoc
SparseToNonSparse An instance filter that converts all incoming sparse instances into non-sparse format.Classweka.filters.unsupervised.instanceWekajavadoc
SpecialFunctionsClass implementing some mathematical functions.Classweka.coreWekajavadoc
SplashWindow Usage: MyApplication is your application class.Classweka.guiWekajavadoc
SplitBase class for different split typesVersion:$Revision: 10531 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWekajavadoc
SplitCandidateEncapsulates a candidate splitVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWekajavadoc
SplitCriterionAbstract class for computing splitting criteria with respect to distributions of class values.Classweka.classifiers.trees.j48Wekajavadoc
SplitEvaluateInterface for objects that determine a split point on an attributeVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.Interfaceweka.classifiers.trees.m5Wekajavadoc
SplitEvaluatorInterface to objects able to generate a fixed set of results for a particular split of a dataset.Interfaceweka.experimentWekajavadoc
SplitMetricBase class for split metricsVersion:$Revision: 9720 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWekajavadoc
SplitNodeClass for a node that splits the data in a Hoeffding treeVersion:$Revision: 10169 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWekajavadoc
SpreadSubsample Produces a random subsample of a dataset.Classweka.filters.supervised.instanceWekajavadoc
SqlViewerRepresents a little tool for querying SQL databases.Classweka.gui.sqlWekajavadoc
SqlViewerDialogA little dialog containing the SqlViewer.Classweka.gui.sqlWekajavadoc
SQLViewerPerspectiveSimple Knowledge Flow perspective that wraps the SqlViewer classVersion:$Revision: 11286 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.beansWekajavadoc
SQLViewerPerspectivePerspective that wraps the {@code SQLViewer) componentVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflowWekajavadoc
SquaredEuclideanJava class for squaredEuclidean element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
StackClass implementing a stack.Classweka.core.neighboursearch.covertreesWekajavadoc
Stacking Combines several classifiers using the stacking method.Classweka.classifiers.metaWekajavadoc
StandardEvaluationMetricPrimarily a marker interface for a "standard" evaluation metric - i.Interfaceweka.classifiers.evaluationWekajavadoc
Standardize Standardizes all numeric attributes in the given dataset to have zero mean and unit variance (apart from the class attribute, if set).Classweka.filters.unsupervised.attributeWekajavadoc
StartableInterface to something that is a start point for a flow and can be launched programatically.Interfaceweka.gui.beansWekajavadoc

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StartSetHandlerInterface for search methods capable of doing something sensible given a starting set of attributes.Interfaceweka.attributeSelectionWekajavadoc
StartUpListenerInterface to something that can be notified of a successful startupVersion:$Revision: 8034 $Author:Mark HallInterfaceweka.gui.beansWekajavadoc
StatisticsClass implementing some distributions, tests, etc.Classweka.coreWekajavadoc
StatsClass implementing a statistical routine needed by J48 to compute its error estimate.Classweka.classifiers.trees.j48Wekajavadoc
StatsA class to store simple statistics.Classweka.experimentWekajavadoc
StatsHelperA helper class to expose a Stats object to a program Exposes the following variables that correspond to Stats' fields:Classweka.core.expressionlanguage.wekaWekajavadoc
StemmerInterface for all stemming algorithms.Interfaceweka.core.stemmersWekajavadoc
StemmingA helper class for using the stemmers.Classweka.core.stemmersWekajavadoc
StepClient API for Knowledge Flow steps.Interfaceweka.knowledgeflow.stepsWekajavadoc
StepEditorDialogBase class for step editor dialogs.Classweka.gui.knowledgeflowWekajavadoc
StepInjectorFlowRunnerA flow runner that runs a flow by injecting data into a target stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.knowledgeflowWekajavadoc
StepInteractiveViewerInterface for GUI interactive viewer components that can be popped up from the contextual menu in the Knowledge Flow that appears when you right-clickInterfaceweka.gui.knowledgeflowWekajavadoc
StepManagerClient public interface for the StepManager.Interfaceweka.knowledgeflowWekajavadoc
StepManagerImplConcrete implementation of the StepManager interface.Classweka.knowledgeflowWekajavadoc
StepOutputListenerInteface to something that listens to the output from a StepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Interfaceweka.knowledgeflowWekajavadoc
StepTaskA task that can be executed by the ExecutionEnvironment's submitTask() service.Classweka.knowledgeflowWekajavadoc
StepTaskCallbackCallback that Steps can use when executing StepTasks via EnvironmentManager.Interfaceweka.knowledgeflowWekajavadoc
StepTreeSubclass of JTree for displaying available steps.Classweka.gui.knowledgeflowWekajavadoc
StepTreeIgnoreClassweka.gui.knowledgeflowWekajavadoc
StepTreeLeafDetailsMaintains information about a step in the StepTree - e.Classweka.gui.knowledgeflowWekajavadoc
StepVisualClass for managing the appearance of a step in the GUI Knowledge FlowVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflowWekajavadoc
StopwordsClass that can test whether a given string is a stop word.Classweka.coreWekajavadoc
StopwordsHandlerInterface for classes that support stopword handling.Interfaceweka.core.stopwordsWekajavadoc
StratifiedRemoveFolds This filter takes a dataset and outputs a specified fold for cross validation.Classweka.filters.supervised.instanceWekajavadoc
StreamableFilterInterfaceweka.filtersWekajavadoc

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StreamThroughputClass for measuring throughput of an incremental Knowledge Flow step.Classweka.gui.beansWekajavadoc
StreamTokenizerUtilsHelper class for using stream tokenizersVersion:$Revision: 9284 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.core.convertersWekajavadoc
StringLocatorThis class locates and records the indices of String attributes, recursively in case of Relational attributes.Classweka.coreWekajavadoc
StringToNominal Converts a range of string attributes (unspecified number of values) to nominal (set number of values).Classweka.filters.unsupervised.attributeWekajavadoc
StringToWordVector Converts String attributes into a set of attributes representing word occurrence (depending on the tokenizer) information from the text contained in the strings.Classweka.filters.unsupervised.attributeWekajavadoc
StripChartBean that can display a horizontally scrolling strip chart.Classweka.gui.beansWekajavadoc
StripChartA step that can display a viewer showing a right-to-left scrolling chartVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWekajavadoc
StripChartBeanInfoBean info class for the strip chart beanVersion:$Revision: 12008 $Author:Mark HallClassweka.gui.beansWekajavadoc
StripChartCustomizerGUI Customizer for the strip chart beanVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc
StripChartInteractiveViewClassweka.gui.knowledgeflow.stepsWekajavadoc
StructureProducerInterface for something that can describe the structure of what is encapsulated in a named event type as an empty set ofInterfaceweka.gui.beansWekajavadoc
SubsetByExpression Filters instances according to a user-specified expression.Classweka.filters.unsupervised.instanceWekajavadoc
SubsetEvaluatorInterface for attribute subset evaluators.Interfaceweka.attributeSelectionWekajavadoc
SubspaceCluster A data generator that produces data points in hyperrectangular subspace clusters.Classweka.datagenerators.clusterersWekajavadoc
SubspaceClusterDefinition A single cluster for the SubspaceCluster Valid options are:Classweka.datagenerators.clusterersWekajavadoc
SubstringLabelerA bean that finds matches in string attribute values (using either substring or regular expression matches) and labels the instance (sets the value of aClassweka.gui.beansWekajavadoc
SubstringLabelerStep that appends a label to incoming instances according to substring matches in string attributes.Classweka.knowledgeflow.stepsWekajavadoc
SubstringLabelerBeanInfoBean info class for the substring labeler beanVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.beansWekajavadoc
SubstringLabelerCustomizerCustomizer class for the Substring labeler stepVersion:$Revision: 10383 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.beansWekajavadoc
SubstringLabelerRulesManages a list of match rules for labeling strings.Classweka.gui.beansWekajavadoc
SubstringLabelerStepEditorDialogStep editor dialog for the SubstringLabeler stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
SubstringReplacerA bean that can replace substrings in the values of string attributes.Classweka.gui.beansWekajavadoc
SubstringReplacerA step that can replace sub-strings in the values of string attributes.Classweka.knowledgeflow.stepsWekajavadoc
SubstringReplacerBeanInfoBean info class for the substring replacerVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.beansWekajavadoc
SubstringReplacerCustomizerCustomizer for the SubstringReplacerVersion:$Revision: 10383 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.beansWekajavadoc

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SubstringReplacerRulesManages a list of match and replace rules for replacing values in stringVersion:$Revision: 11968 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.beansWekajavadoc
SubstringReplacerStepEditorDialogStep editor dialog for the SubstringReplacer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
SummarizableInterface to something that provides a short textual summary (as opposed to toString() which is usually a fairly complete description) of itself.Interfaceweka.coreWekajavadoc
SupervisedFilterInterfaceweka.filtersWekajavadoc
SupportVectorJava class for SupportVector element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SupportVectorMachineJava class for SupportVectorMachine element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SupportVectorMachineModelClassweka.classifiers.pmml.consumerWekajavadoc
SupportVectorMachineModelJava class for SupportVectorMachineModel element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SupportVectorsJava class for SupportVectors element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
SVMCLASSIFICATIONMETHODenum SVMCLASSIFICATIONMETHODJava class for SVM-CLASSIFICATION-METHOD.Classweka.core.pmml.jaxbbindingsWekajavadoc
SVMLightLoader Reads a source that is in svm light format.Classweka.core.convertersWekajavadoc
SVMLightSaver Writes to a destination that is in svm light For more information about svm light see:Classweka.core.convertersWekajavadoc
SVMREPRESENTATIONenum SVMREPRESENTATIONJava class for SVM-REPRESENTATION.Classweka.core.pmml.jaxbbindingsWekajavadoc
SwapValues Swaps two values of a nominal attribute.Classweka.filters.unsupervised.attributeWekajavadoc
symCUP generated interface containing symbol constants.Interfaceweka.core.expressionlanguage.parserWekajavadoc
symCUP generated interface containing symbol constants.Interfaceweka.core.jsonWekajavadoc
SymmetricalUncertAttributeEval SymmetricalUncertAttributeEval : Evaluates the worth of an attribute by measuring the symmetrical uncertaintyClassweka.attributeSelectionWekajavadoc
SyntaxDocumentHighlights syntax in a DefaultStyledDocument.Classweka.gui.scriptingWekajavadoc
SyntaxExceptionAn exception to represent an invalid syntax of a programVersion:$Revision: 1000 $Author:Benjamin Weber ( benweber at student dot ethz dot ch )See Also:Serialized FormClassweka.core.expressionlanguage.coreWekajavadoc
SysErrLogThis Logger just sends messages to System.Classweka.guiWekajavadoc
SystemInfoThis class prints some information about the system setup, like Java version, JVM settings etc.Classweka.coreWekajavadoc
TableLocatorJava class for TableLocator element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TabuSearch This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.Classweka.classifiers.bayes.net.search.globalWekajavadoc
TabuSearch This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.Classweka.classifiers.bayes.net.search.localWekajavadoc
TagA Tag simply associates a numeric ID with a String description.Classweka.coreWekajavadoc

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TAN This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmentedClassweka.classifiers.bayes.net.search.globalWekajavadoc
TAN This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmentedClassweka.classifiers.bayes.net.search.localWekajavadoc
TanimotoJava class for tanimoto element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TargetJava class for Target element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TargetMetaInfoClass to encapsulate information about a Target.Classweka.core.pmmlWekajavadoc
TargetsJava class for Targets element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TargetValueJava class for TargetValue element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TargetValueCountJava class for TargetValueCount element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TargetValueCountsJava class for TargetValueCounts element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TaskInterface to something that can be remotely executed as a task.Interfaceweka.experimentWekajavadoc
TaskLoggerInterface for objects that display log and display information onVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.Interfaceweka.guiWekajavadoc
TaskStatusInfoA class holding information for tasks being executed on RemoteEngines.Classweka.experimentWekajavadoc
TaxonomyJava class for Taxonomy element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TechnicalInformationUsed for paper references in the Javadoc and for BibTex generation.Classweka.coreWekajavadoc
TechnicalInformationHandlerFor classes that are based on some kind of publications.Interfaceweka.coreWekajavadoc
TechnicalInformationHandlerJavadocGenerates Javadoc comments from the TechnicalInformationHandler's data.Classweka.coreWekajavadoc
TeeThis class pipelines print/println's to several PrintStreams.Classweka.coreWekajavadoc
TemplateManagerManages all things template-relatedVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.knowledgeflowWekajavadoc
TestClass to represent a test.Classweka.datageneratorsWekajavadoc
TestDistributionsJava class for TestDistributions element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TesterInterface for different kinds of Testers in the Experimenter.Interfaceweka.experimentWekajavadoc
TestInstancesGenerates artificial datasets for testing.Classweka.coreWekajavadoc
TestSetEventEvent encapsulating a test setVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc
TestSetListenerInterface to something that can accpet test set eventsVersion:$Revision: 8034 $Author:Mark HallInterfaceweka.gui.beansWekajavadoc
TestSetMakerBean that accepts data sets and produces test setsVersion:$Revision: 10216 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc

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TestSetMakerA step that makes an incoming dataSet or trainingSet into a testSet.Classweka.knowledgeflow.stepsWekajavadoc
TestSetMakerBeanInfoBean info class for the test set maker bean.Classweka.gui.beansWekajavadoc
TestSetProducerInterface to something that can produce test setsVersion:$Revision: 8034 $Author:Mark HallInterfaceweka.gui.beansWekajavadoc
TextCorpusJava class for TextCorpus element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TextDictionaryJava class for TextDictionary element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TextDirectoryLoader Loads all text files in a directory and uses the subdirectory names as class labels.Classweka.core.convertersWekajavadoc
TextDocumentJava class for TextDocument element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TextEventEvent that encapsulates some textual informationVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc
TextListenerInterface to something that can process a TextEventSince:1.Interfaceweka.gui.beansWekajavadoc
TextModelJava class for TextModel element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TextModelNormalizationJava class for TextModelNormalization element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TextModelSimiliarityJava class for TextModelSimiliarity element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TextSaverSimple component to save the text carried in text events out to a fileVersion:$Revision: 9250 $Author:thuvh (thuvh87{[at]}gmail{[dot]}com), Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.beansWekajavadoc
TextSaverStep for saving textual data to a file.Classweka.knowledgeflow.stepsWekajavadoc
TextSaverBeanInfoBean info class for the serialized model saver beanVersion:$Revision: 9238 $Author:(thuvh87{[at]}gmail{[dot]}com), Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.beansWekajavadoc
TextSaverCustomizerCustomizer for the TextSaver component.Classweka.gui.beansWekajavadoc
TextViewerBean that collects and displays pieces of textVersion:$Revision: 10815 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc
TextViewerA step for collecting and viewing textual dataVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWekajavadoc
TextViewerBeanInfoBean info class for the text viewerVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWekajavadoc
TextViewerInteractiveViewInteractive viewer for the TextViewer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWekajavadoc
ThreadSafeInterfaceweka.coreWekajavadoc
ThresholdCurveGenerates points illustrating prediction tradeoffs that can be obtained by varying the threshold value between classes.Classweka.classifiers.evaluationWekajavadoc
ThresholdDataEventEvent encapsulating classifier performance data based on varying a threshold over the classifier's predicted probabilitiesClassweka.gui.beansWekajavadoc
ThresholdDataListenerInterface to something that can accept ThresholdDataEventsSince:1.Interfaceweka.gui.beansWekajavadoc
ThresholdProducingMetricSome evaluation measures may optimize thresholds on the class probabilities.Interfaceweka.classifiers.evaluationWekajavadoc

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ThresholdVisualizePanelThis panel is a VisualizePanel, with the added ablility to display the area under the ROC curve if an ROC curve is chosen.Classweka.gui.visualizeWekajavadoc
TimeJava class for Time element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TimeAnchorJava class for TimeAnchor element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TIMEANCHOR2Java class for TIME-ANCHOR.Classweka.core.pmml.jaxbbindingsWekajavadoc
TimeCycleJava class for TimeCycle element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TimeExceptionJava class for TimeException element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TIMEEXCEPTIONTYPEenum TIMEEXCEPTIONTYPEJava class for TIME-EXCEPTION-TYPE.Classweka.core.pmml.jaxbbindingsWekajavadoc
TimeSeriesJava class for TimeSeries element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TIMESERIESALGORITHMenum TIMESERIESALGORITHMJava class for TIMESERIES-ALGORITHM.Classweka.core.pmml.jaxbbindingsWekajavadoc
TimeSeriesDelta An instance filter that assumes instances form time-series data and replaces attribute values in the current instance with the difference between the current value and the equivalent attribute attribute value of some previous (or future) instance.Classweka.filters.unsupervised.attributeWekajavadoc
TimeSeriesModelJava class for TimeSeriesModel element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TimeSeriesTranslate An instance filter that assumes instances form time-series data and replaces attribute values in the current instance with the equivalent attribute values of some previous (or future) instance.Classweka.filters.unsupervised.attributeWekajavadoc
TIMESERIESUSAGEenum TIMESERIESUSAGEJava class for TIMESERIES-USAGE.Classweka.core.pmml.jaxbbindingsWekajavadoc
TimestampJava class for Timestamp element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TimeValueJava class for TimeValue element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TitleUpdatedEventEvent that gets send in case a scripting panel updates the title.Classweka.gui.scripting.eventWekajavadoc
TitleUpdatedListenerInterface for frames/dialogs that listen to changes of the title.Interfaceweka.gui.scripting.eventWekajavadoc
TokenizerA superclass for all tokenizer algorithms.Classweka.core.tokenizersWekajavadoc
TopDownConstructor The class implementing the TopDown construction method of ball trees.Classweka.core.neighboursearch.balltreesWekajavadoc
TrainingInstancesJava class for TrainingInstances element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TrainingSetEventEvent encapsulating a training setVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc
TrainingSetListenerInterface to something that can accept and process training set eventsVersion:$Revision: 8034 $Author:Mark HallInterfaceweka.gui.beansWekajavadoc
TrainingSetMakerBean that accepts a data sets and produces a training setVersion:$Revision: 10216 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc
TrainingSetMakerStep that converts an incoming dataSet or testSet into a trainingSet.Classweka.knowledgeflow.stepsWekajavadoc
TrainingSetMakerBeanInfoBean info class for the training set maker beanVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWekajavadoc

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TrainingSetProducerInterface to something that can produce a training setVersion:$Revision: 8034 $Author:Mark HallInterfaceweka.gui.beansWekajavadoc
TrainTestSplitMakerBean that accepts data sets, training sets, test sets and produces both a training and test set by randomly spliting the dataClassweka.gui.beansWekajavadoc
TrainTestSplitMakerA step that creates a random train/test split from an incoming data set.Classweka.knowledgeflow.stepsWekajavadoc
TrainTestSplitMakerBeanInfoBean info class for the train test split maker beanSince:1.Classweka.gui.beansWekajavadoc
TrainTestSplitMakerCustomizerGUI customizer for the train test split maker beanVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWekajavadoc
TransformationDictionaryJava class for TransformationDictionary element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
Transpose Transposes the data: instances become attributes and attributes become instances.Classweka.filters.unsupervised.attributeWekajavadoc
TreeBuildThis class will parse a dotty file and construct a tree structure from it with Edge's and Node'sClassweka.gui.treevisualizerWekajavadoc
TreeDisplayEventAn event containing the user selection from the tree displayVersion:$Revision: 8034 $Author:Malcolm Ware (mfw4@cs.Classweka.gui.treevisualizerWekajavadoc
TreeDisplayListenerInterface implemented by classes that wish to recieve user selection events from a tree displayer.Interfaceweka.gui.treevisualizerWekajavadoc
TreeModelClass implementing import of PMML TreeModel.Classweka.classifiers.pmml.consumerWekajavadoc
TreeModelJava class for TreeModel element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TreePerformanceStatsThe class that measures the performance of a tree based nearest neighbour search algorithm.Classweka.core.neighboursearchWekajavadoc
TreeVisualizePluginInterface implemented by classes loaded dynamically to visualize classifier results in the explorer.Interfaceweka.gui.visualize.pluginsWekajavadoc
TreeVisualizerClass for displaying a Node structure in Swing.Classweka.gui.treevisualizerWekajavadoc
TrendExpoSmoothJava class for Trend_ExpoSmooth element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TrieA class representing a Trie data structure for strings.Classweka.coreWekajavadoc
TrueJava class for True element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
TwoClassStatsEncapsulates performance functions for two-class problems.Classweka.classifiers.evaluationWekajavadoc
UnassignedClassExceptionException that is raised when trying to use some data that has no class assigned to it, but a class is needed to perform the operation.Classweka.coreWekajavadoc
UnassignedDatasetExceptionException that is raised when trying to use something that has no reference to a dataset, when one is required.Classweka.coreWekajavadoc
UndoableInterface implemented by classes that support undo.Interfaceweka.coreWekajavadoc
UniformDistributionJava class for UniformDistribution element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
UnivariateDensityEstimatorInterface that can be implemented by simple weighted univariate density estimators.Interfaceweka.estimatorsWekajavadoc
UnivariateEqualFrequencyHistogramEstimatorSimple histogram density estimator.Classweka.estimatorsWekajavadoc

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UnivariateIntervalEstimatorInterface that can be implemented by simple weighted univariate interval estimators.Interfaceweka.estimatorsWekajavadoc
UnivariateKernelEstimatorSimple weighted kernel density estimator.Classweka.estimatorsWekajavadoc
UnivariateMixtureEstimatorSimple weighted mixture density estimator.Classweka.estimatorsWekajavadoc
UnivariateNominalMultiwaySplitA multiway split based on a single nominal attributeVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWekajavadoc
UnivariateNormalEstimatorSimple weighted normal density estimator.Classweka.estimatorsWekajavadoc
UnivariateNumericBinarySplitA binary split based on a single numeric attributeVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWekajavadoc
UnivariateQuantileEstimatorInterface that can be implemented by simple weighted univariate quantile estimators.Interfaceweka.estimatorsWekajavadoc
UnivariateStatsJava class for UnivariateStats element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
UnsupervisedAttributeEvaluatorAbstract unsupervised attribute evaluator.Classweka.attributeSelectionWekajavadoc
UnsupervisedFilterInterfaceweka.filtersWekajavadoc
UnsupervisedSubsetEvaluatorAbstract unsupervised attribute subset evaluator.Classweka.attributeSelectionWekajavadoc
UnsupportedAttributeTypeExceptionException that is raised by an object that is unable to process some of the attribute types it has been passed.Classweka.coreWekajavadoc
UnsupportedClassTypeExceptionException that is raised by an object that is unable to process the class type of the data it has been passed.Classweka.coreWekajavadoc
UpdateableBatchProcessorUpdateable classifiers can implement this if they wish to be informed at the end of the training stream.Interfaceweka.classifiersWekajavadoc
UpdateableClassifierInterface to incremental classification models that can learn using one instance at a time.Interfaceweka.classifiersWekajavadoc
UpdateableClustererInterface to incremental cluster models that can learn using one instance Version:$Revision: 10829 $Author:FracPete (fracpete at waikato dot ac dot nz)Interfaceweka.clusterersWekajavadoc
URLSourcedLoaderInterface to a loader that can load from a http urlVersion:$Revision 1.Interfaceweka.core.convertersWekajavadoc
UserRequestAcceptorInterface to something that can accept requests from a user to perform someSince:1.Interfaceweka.gui.beansWekajavadoc
UtilsClass implementing some simple utility methods.Classweka.coreWekajavadoc
VALIDTIMESPECJava class for VALID-TIME-SPEC.Classweka.core.pmml.jaxbbindingsWekajavadoc
ValueJava class for Value element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
ValuesStores some statistics.Classweka.classifiers.trees.m5Wekajavadoc
VariableDeclarationsInterface to expose variables to a program.Interfaceweka.core.expressionlanguage.coreWekajavadoc
VariableDeclarationsCompositorA helper class that allows to combine several variable declarations together.Classweka.core.expressionlanguage.commonWekajavadoc
VaryNodePart of ADTree implementation.Classweka.classifiers.bayes.netWekajavadoc

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VectorDictionaryJava class for VectorDictionary element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
VectorDictionaryClass encapsulating the PMML VectorDictionary construct.Classweka.core.pmmlWekajavadoc
VectorFieldsJava class for VectorFields element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
VectorInstanceJava class for VectorInstance element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
VectorInstanceClass encapsulating a PMML VectorInstance constructVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.core.pmmlWekajavadoc
VerificationFieldJava class for VerificationField element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
VerificationFieldsJava class for VerificationFields element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
VersionThis class contains the version number of the current WEKA release and some methods for comparing another version string.Classweka.coreWekajavadoc
VersionPackageConstraintConcrete implementation of PackageConstraint that encapsulates constraints related to version numbers.Classweka.core.packageManagementWekajavadoc
VersionRangePackageConstraintA concrete implementation of PackgageConstraint that encapsulates ranged version number constraints.Classweka.core.packageManagementWekajavadoc
ViewerDialogA downsized version of the ArffViewer, displaying only one Instances-Object.Classweka.guiWekajavadoc
VisibleInterface to something that has a visible (via BeanVisual) reprentationSince:1.Interfaceweka.gui.beansWekajavadoc
VisibleLayoutPanel that wraps a flow and makes it visible in the KnowledgeFlow, along with it's associated log panelClassweka.gui.knowledgeflowWekajavadoc
VisualizableErrorEventEvent encapsulating error information for a learning scheme that can be visualized in the DataVisualizerClassweka.gui.beansWekajavadoc
VisualizableErrorListenerInterface to something that can accept VisualizableErrorEventsSince:1.Interfaceweka.gui.beansWekajavadoc
VisualizePanelA slightly extended MatrixPanel for better support in the Explorer.Classweka.gui.explorerWekajavadoc
VisualizePanelThis panel allows the user to visualize a dataset (and if provided) a classifier's/clusterer's predictions in two dimensions.Classweka.gui.visualizeWekajavadoc
VisualizePanelEventThis event Is fired to a listeners 'userDataEvent' function when The user on the VisualizePanel clicks submit.Classweka.gui.visualizeWekajavadoc
VisualizePanelListenerInterface implemented by a class that is interested in receiving submited shapes from a visualize panel.Interfaceweka.gui.visualizeWekajavadoc
VisualizePluginInterface implemented by classes loaded dynamically to visualize classifier results in the explorer.Interfaceweka.gui.visualize.pluginsWekajavadoc
VisualizeUtilsThis class contains utility routines for visualizationVersion:$Revision: 12391 $Author:Mark Hall (mhall@cs.Classweka.gui.visualizeWekajavadoc
Vote Class for combining classifiers.Classweka.classifiers.metaWekajavadoc
VotedPerceptron Implementation of the voted perceptron algorithm by Freund and Schapire.Classweka.classifiers.functionsWekajavadoc
WeightedInstancesHandlerInterfaceweka.coreWekajavadoc
WeightedInstancesHandlerWrapper Generic wrapper around any classifier to enable weighted instances support.Classweka.classifiers.metaWekajavadoc

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WeightMassSimple container for a weightVersion:$Revision: 9707 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.classifiers.trees.htWekajavadoc
WekaAlgorithmWrapperA step that wraps a class of standard Weka algorithm (e.Classweka.knowledgeflow.stepsWekajavadoc
WekaEnumerationClass for enumerating an array list's elements.Classweka.coreWekajavadoc
WekaExceptionClass for Weka-specific exceptions.Classweka.coreWekajavadoc
WekaOffscreenChartRendererDefault OffscreenChartRenderer that uses Weka's built-in chart and graphVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.beansWekajavadoc
WekaPackageManagerClass providing package management and manipulation routines.Classweka.coreWekajavadoc
WekaTaskMonitorThis panel records the number of weka tasks running and displays a simple bird animation while their are active tasksClassweka.guiWekajavadoc
WekaWrapperInterface to something that can wrap around a class of Weka algorithms (classifiers, filters etc).Interfaceweka.gui.beansWekajavadoc
WordsFromFile Uses the stopwords located in the specified file (ignored _if pointing to a directory).Classweka.core.stopwordsWekajavadoc
WordTokenizer A simple tokenizer that is using the java.Classweka.core.tokenizersWekajavadoc
WorkbenchLauncher class for the Weka workbench.Classweka.guiWekajavadoc
WorkbenchAppOne app to rule them all, one app to find them, one app to bring them all and with perspectives bind them.Classweka.guiWekajavadoc
WorkbenchDefaultsDefault settings for the Workbench app.Classweka.guiWekajavadoc
WrapLayoutFlowLayout subclass that fully supports wrapping of components.Classweka.guiWekajavadoc
WrapperSubsetEval Evaluates attribute sets by using a learning scheme.Classweka.attributeSelectionWekajavadoc
XCoordinatesJava class for XCoordinates element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
XMLBasicSerializationThis serializer contains some read/write methods for common classes that are not beans-conform.Classweka.core.xmlWekajavadoc
XMLBeansThis class serializes and deserializes a KnowledgeFlow setup to and fro XML.Classweka.gui.beans.xmlWekajavadoc
XMLClassifierThis class serializes and deserializes a Classifier instance to andVersion:$Revision: 8034 $Author:FracPete (fracpete at waikato dot ac dot nz)Classweka.classifiers.xmlWekajavadoc
XMLDocumentThis class offers some methods for generating, reading and writing It can only handle UTF-8.Classweka.core.xmlWekajavadoc
XMLExperimentThis class serializes and deserializes an Experiment instance to and fro XML.Classweka.experiment.xmlWekajavadoc
XMLFileBasedMetaStoreA simple default implementation of MetaStore that uses Weka's XML serialization mechanism to persist entries as XML files inClassweka.core.metastoreWekajavadoc
XMLInstancesXML representation of the Instances class.Classweka.core.xmlWekajavadoc
XMLOptionsA class for transforming options listed in XML to a regular WEKA command lineVersion:$Revision: 10203 $Author:FracPete (fracpete at waikato dot ac dot nz)Classweka.core.xmlWekajavadoc
XMLSerializationWith this class objects can be serialized to XML instead into a binary format.Classweka.core.xmlWekajavadoc

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XMLSerializationMethodHandlerThis class handles relationships between display names of properties (or classes) and Methods that are associated with them.Classweka.core.xmlWekajavadoc
XRFFLoader Reads a source that is in the XML version of the ARFF format.Classweka.core.convertersWekajavadoc
XRFFSaver Writes to a destination that is in the XML version of the ARFF format.Classweka.core.convertersWekajavadoc
XStreamThis class is a helper class for XML serialization using XStream .Classweka.core.xmlWekajavadoc
YCoordinatesJava class for YCoordinates element declaration.Classweka.core.pmml.jaxbbindingsWekajavadoc
YongSplitInfoStores split information.Classweka.classifiers.trees.m5Wekajavadoc
ZeroR Class for building and using a 0-R classifier.Classweka.classifiers.rulesWekajavadoc

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