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# Classes and Interfaces in #Weka - 1156 results found.
NameDescriptionTypePackageFramework
AbstractAssociatorAbstract scheme for learning associations.Classweka.associationsWeka
AbstractClassifierAbstract classifier.Classweka.classifiersWeka
AbstractClustererClassweka.clusterersWeka
AbstractDataSinkAbstract class for objects that store instances to some destination.Classweka.gui.beansWeka
AbstractDataSinkBeanInfoBean info class for the AbstractDataSinkVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWeka
AbstractDataSourceAbstract class for objects that can provide instances from some sourceSince:1.Classweka.gui.beansWeka
AbstractDataSourceBeanInfoBean info class for AbstractDataSource.Classweka.gui.beansWeka
AbstractDensityBasedClustererAbstract clustering model that produces (for each test instance) an estimate of the membership in each cluster Classweka.clusterersWeka
AbstractEvaluationMetricAbstract base class for pluggable classification/regression evaluationVersion:$Revision: 12409 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.classifiers.evaluationWeka
AbstractEvaluatorAbstract class for objects that can provide some kind of evaluation for classifier, clusterers etc.Classweka.gui.beansWeka
AbstractFileBasedStopwordsAncestor for file-based stopword schemes.Classweka.core.stopwordsWeka
AbstractFileLoaderAbstract superclass for all file loaders.Classweka.core.convertersWeka
AbstractFileSaverAbstract class for Savers that save to a file -i input arff file Classweka.core.convertersWeka
AbstractGUIApplicationBase class for GUI applications in WekaVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.guiWeka
AbstractInstanceAbstract class providing common functionality for the original instanceVersion:$Revision: 10649 $Author:Eibe Frank (eibe@cs.Classweka.coreWeka
AbstractLoaderAbstract class gives default implementation of setSource methods.Classweka.core.convertersWeka
AbstractOffscreenChartRendererAbstract base class for offscreen chart renderers.Classweka.gui.beansWeka
AbstractOutputA superclass for outputting the classifications of a classifier.Classweka.classifiers.evaluation.output.predictionWeka
AbstractPerspectiveBase classes for GUI perspectives to extend.Classweka.guiWeka
AbstractPlotInstancesAbstract superclass for generating plottable instances.Classweka.gui.explorerWeka
AbstractPMMLProducerHelperAbstract base class for PMMLProducer helper classes to extend.Classweka.classifiers.pmml.producerWeka
AbstractSaverAbstract class for SaverVersion:$Revision: 11006 $Author:Richard Kirkby (rkirkby@cs.Classweka.core.convertersWeka
AbstractSetupPanelAncestor for setup panels for experiments.Classweka.gui.experimentWeka
AbstractStopwordsAncestor for stopwords classes.Classweka.core.stopwordsWeka
AbstractTestSetProducerAbstract class for TestSetProducers that contains default implementations of add/remove listener methods and defualt visual representation.Classweka.gui.beansWeka
AbstractTestSetProducerBeanInfoBeanInfo class for AbstractTestSetProducerVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWeka
AbstractTimeSeriesAn abstract instance filter that assumes instances form time-series data and performs some merging of attribute values in the current instance withClassweka.filters.unsupervised.attributeWeka
AbstractTrainAndTestSetProducerAbstract base class for TrainAndTestSetProducers that contains default implementations of add/remove listener methods and defualt visualClassweka.gui.beansWeka
AbstractTrainAndTestSetProducerBeanInfoBean info class for AbstractTrainAndTestSetProducersVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWeka
AbstractTrainingSetProducerAbstract class for TrainingSetProducers that contains default implementations of add/remove listener methods and default visual representationClassweka.gui.beansWeka
AbstractTrainingSetProducerBeanInfoBeanInfo class for AbstractTrainingSetProducerVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWeka
ACTIVATIONFUNCTIONenum ACTIVATIONFUNCTIONJava class for ACTIVATION-FUNCTION.Classweka.core.pmml.jaxbbindingsWeka
ActiveHNodeNode that is "active" (i.Classweka.classifiers.trees.htWeka
AdaBoostM1 Class for boosting a nominal class classifier using the Adaboost M1 method.Classweka.classifiers.metaWeka
Add An instance filter that adds a new attribute to the dataset.Classweka.filters.unsupervised.attributeWeka
AddClassification A filter for adding the classification, the class distribution and an error flag to a dataset with a classifier.Classweka.filters.supervised.attributeWeka
AddCluster A filter that adds a new nominal attribute representing the cluster assigned to each instance by the specifiedClassweka.filters.unsupervised.attributeWeka
AddExpression An instance filter that creates a new attribute by applying a mathematical expression to existing attributes.Classweka.filters.unsupervised.attributeWeka
AddID An instance filter that adds an ID attribute to the dataset.Classweka.filters.unsupervised.attributeWeka
AdditionalMeasureProducerInterface to something that can produce measures other than those calculated by evaluation modules.Interfaceweka.coreWeka
AdditiveRegression Meta classifier that enhances the performance of a regression base classifier.Classweka.classifiers.metaWeka
AddNoise An instance filter that changes a percentage of a given attributes values.Classweka.filters.unsupervised.attributeWeka
AddUserFields A filter that adds new attributes with user specified type and constant value.Classweka.filters.unsupervised.attributeWeka
AddUserFieldsBeanInfoBean info class for the AddUserFields filter.Classweka.filters.unsupervised.attributeWeka
AddUserFieldsCustomizerCustomizer for the AddUserFields filter.Classweka.gui.filtersWeka
AddValues Adds the labels from the given list to an attribute if they are missing.Classweka.filters.unsupervised.attributeWeka
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.netWeka
AggregateJava class for Aggregate element declaration.Classweka.core.pmml.jaxbbindingsWeka
AggregateableInterface to something that can aggregate an object of the same type withVersion:$Revision: 9784 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Interfaceweka.coreWeka
AggregateableEvaluationSubclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object.Classweka.classifiersWeka
AggregateableEvaluationSubclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object.Classweka.classifiers.evaluationWeka
Agrawal Generates a people database and is based on the paper by Agrawal et al.Classweka.datagenerators.classifiers.classificationWeka
AlgorithmListPanelThis panel controls setting a list of algorithms for an experiment to iterateVersion:$Revision: 10222 $Author:Richard Kirkby (rkirkby@cs.Classweka.gui.experimentWeka
AlgVectorClass for performing operations on an algebraic vector of floating-point values.Classweka.coreWeka
AllFilterA simple instance filter that passes all instances directly through.Classweka.filtersWeka
AllJavadocApplies all known Javadoc-derived classes to a source file.Classweka.coreWeka
AlphabeticTokenizer Alphabetic string tokenizer, tokens are to be formed only from contiguous alphabetic sequences.Classweka.core.tokenizersWeka
AlternateJava class for Alternate element declaration.Classweka.core.pmml.jaxbbindingsWeka
AnnotationJava class for Annotation element declaration.Classweka.core.pmml.jaxbbindingsWeka
AnovaJava class for Anova element declaration.Classweka.core.pmml.jaxbbindingsWeka
AnovaRowJava class for AnovaRow element declaration.Classweka.core.pmml.jaxbbindingsWeka
AntecedentSequenceJava class for AntecedentSequence element declaration.Classweka.core.pmml.jaxbbindingsWeka
AnyDistributionJava class for AnyDistribution element declaration.Classweka.core.pmml.jaxbbindingsWeka
AppenderA bean that appends multiple incoming data connections into a single data set.Classweka.gui.beansWeka
AppenderA bean that appends multiple incoming data connections into a single data set.Classweka.knowledgeflow.stepsWeka
AppenderBeanInfoBean info class for the appender beanVersion:$Revision: 10150 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.beansWeka
ApplicationJava class for Application element declaration.Classweka.core.pmml.jaxbbindingsWeka
ApplyJava class for Apply element declaration.Classweka.core.pmml.jaxbbindingsWeka
Apriori Class implementing an Apriori-type algorithm.Classweka.associationsWeka
AprioriItemSetClass for storing a set of items.Classweka.associationsWeka
ArffLoader Reads a source that is in arff (attribute relation file format) format.Classweka.core.convertersWeka
ArffPanelA Panel representing an ARFF-Table and the associated filename.Classweka.gui.arffviewerWeka
ArffSaverWrites to a destination in arff text format.Classweka.core.convertersWeka
ArffSortedTableModelA sorter for the ARFF-Viewer - necessary because of the custom CellRenderer.Classweka.gui.arffviewerWeka
ArffTableA specialized JTable for the Arff-Viewer.Classweka.gui.arffviewerWeka
ArffTableCellRendererHandles the background colors for missing values differently than the DefaultTableCellRenderer.Classweka.gui.arffviewerWeka
ArffTableModelThe model for the Arff-Viewer.Classweka.gui.arffviewerWeka
ArffViewerA little tool for viewing ARFF files.Classweka.gui.arffviewerWeka
ArffViewerMainPanelThe main panel of the ArffViewer.Classweka.gui.arffviewerWeka
ArrayClass for encapsulating a PMML Array element.Classweka.core.pmmlWeka
ArrayTypeJava class for ArrayType complex type.Classweka.core.pmml.jaxbbindingsWeka
ASEvaluationAbstract attribute selection evaluation classVersion:$Revision: 12201 $Author:Mark Hall (mhall@cs.Classweka.attributeSelectionWeka
ASEvaluatorStep that wraps a Weka attribute or subset evaluator.Classweka.knowledgeflow.stepsWeka
ASEvaluatorStepEditorDialogStep editor dialog for the ASEvaluator stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
ASSearchAbstract attribute selection search class.Classweka.attributeSelectionWeka
ASSearchStrategyStep that wraps a Weka attribute selection search strategy.Classweka.knowledgeflow.stepsWeka
AssociationModelJava class for AssociationModel element declaration.Classweka.core.pmml.jaxbbindingsWeka
AssociationRuleAbstract class for storing and manipulating an association rule.Classweka.associationsWeka
AssociationRuleJava class for AssociationRule element declaration.Classweka.core.pmml.jaxbbindingsWeka
AssociationRulesClass encapsulating a list of association rules.Classweka.associationsWeka
AssociationRulesProducerInterface to something that can provide a list ofVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Interfaceweka.associationsWeka
AssociationRuleVisualizePluginInterface implemented by classes loaded dynamically to visualize association results in the explorer.Interfaceweka.gui.visualize.pluginsWeka
AssociationsPanelThis panel allows the user to select, configure, and run a scheme that learnsVersion:$Revision: 12232 $Author:Eibe Frank (eibe@cs.Classweka.gui.explorerWeka
AssociatorGenerates an associator.Interfaceweka.associationsWeka
AssociatorBean that wraps around weka.Classweka.gui.beansWeka
AssociatorStep that wraps a Weka associator.Classweka.knowledgeflow.stepsWeka
AssociatorBeanInfoBeanInfo class for the Associator wrapper beanVersion:$Revision: 8034 $Author:Mark Hall (mhall at cs dot waikato dot ac dot nz)Classweka.gui.beansWeka
AssociatorCustomizerGUI customizer for the associator wrapper beanVersion:$Revision: 8034 $Author:Mark Hall (mhall at cs dot waikato dot ac dot nz)See Also:Serialized FormClassweka.gui.beansWeka
AssociatorEvaluationClass for evaluating Associaters.Classweka.associationsWeka
AttributeClass for handling an attribute.Classweka.coreWeka
AttributeJava class for Attribute element declaration.Classweka.core.pmml.jaxbbindingsWeka
AttributeEvaluatorInterface for classes that evaluate attributes individually.Interfaceweka.attributeSelectionWeka
AttributeListPanelCreates a panel that displays the attributes contained in a set of instances, letting the user select a single attribute for inspection.Classweka.guiWeka
AttributeLocatorThis class locates and records the indices of a certain type of attributes, recursively in case of Relational attributes.Classweka.coreWeka
AttributeMetaInfoClassweka.coreWeka
AttributePanelThis panel displays one dimensional views of the attributes in a dataset.Classweka.gui.visualizeWeka
AttributePanelEventClass encapsulating a change in the AttributePanel's selected x and yVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.Classweka.gui.visualizeWeka
AttributePanelListenerInterface for classes that want to listen for Attribute selection changes in the attribute panelInterfaceweka.gui.visualizeWeka
AttributeSelectedClassifier Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier.Classweka.classifiers.metaWeka
AttributeSelectionAttribute selection class.Classweka.attributeSelectionWeka
AttributeSelection A supervised attribute filter that can be used to select attributes.Classweka.filters.supervised.attributeWeka
AttributeSelectionPanelThis panel allows the user to select and configure an attribute evaluator and a search method, set the attribute of the current dataset to be used as theClassweka.gui.explorerWeka
AttributeSetEvaluatorAbstract attribute set evaluator.Classweka.attributeSelectionWeka
AttributeStatsA Utility class that contains summary information on an the values that appear in a dataset for a particular attribute.Classweka.coreWeka
AttributeSummarizerBean that encapsulates displays bar graph summaries for attributes in a dataVersion:$Revision: 10216 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
AttributeSummarizerStep that collects data to display in a summary overview of attributeVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWeka
AttributeSummarizerBeanInfoBean info class for the attribute summarizer beanVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWeka
AttributeSummarizerCustomizerGUI customizer for attribute summarizer.Classweka.gui.beansWeka
AttributeSummarizerInteractiveViewInteractive viewer for the AttributeSummarizer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
AttributeSummarizerStepEditorDialogStep editor dialog for the attribute summarizer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
AttributeSummaryPanelThis panel displays summary statistics about an attribute: name, type number/% of missing/unique values, number of distinct values.Classweka.guiWeka
AttributeSummaryPerspectiveKnowledge Flow perspective that provides a matrix of AttributeVisualizationPanelsClassweka.gui.knowledgeflowWeka
AttributeTransformerAbstract attribute transformer.Interfaceweka.attributeSelectionWeka
AttributeVisualizationPanelCreates a panel that shows a visualization of an attribute in a dataset.Classweka.guiWeka
AveragingResultProducer Takes the results from a ResultProducer and submits the average to the result listener.Classweka.experimentWeka
Bagging Class for bagging a classifier to reduce variance.Classweka.classifiers.metaWeka
BallNodeClass representing a node of a BallTree.Classweka.core.neighboursearch.balltreesWeka
BallSplitterAbstract class for splitting a ball tree's BallNode.Classweka.core.neighboursearch.balltreesWeka
BallTree Class implementing the BallTree/Metric Tree algorithm for nearest neighbour search.Classweka.core.neighboursearchWeka
BallTreeConstructorAbstract class for constructing a BallTree .Classweka.core.neighboursearch.balltreesWeka
BaseCumHazardTablesJava class for BaseCumHazardTables element declaration.Classweka.core.pmml.jaxbbindingsWeka
BaseExecutionEnvironmentBase class for execution environmentsAuthor:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.knowledgeflowWeka
BaseInteractiveViewerBase class than clients can extend when implementing StepInteractiveViewer.Classweka.gui.knowledgeflowWeka
BaselineJava class for Baseline element declaration.Classweka.core.pmml.jaxbbindingsWeka
BaselineCellJava class for BaselineCell element declaration.Classweka.core.pmml.jaxbbindingsWeka
BaselineModelJava class for BaselineModel element declaration.Classweka.core.pmml.jaxbbindingsWeka
BaselineStratumJava class for BaselineStratum element declaration.Classweka.core.pmml.jaxbbindingsWeka
BASELINETESTSTATISTICenum BASELINETESTSTATISTICJava class for BASELINE-TEST-STATISTIC.Classweka.core.pmml.jaxbbindingsWeka
BaseSimpleDataVisualizerAbstract base class for simple data visualization steps that just collect data sets for visualization.Classweka.knowledgeflow.stepsWeka
BaseStepBase class for implementations of Step to use.Classweka.knowledgeflow.stepsWeka
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.stepsWeka
BatchAssociationRulesEventClass encapsulating a set of association rules.Classweka.gui.beansWeka
BatchAssociationRulesListenerInterface to something that can process a BatchAssociationRulesEvent.Interfaceweka.gui.beansWeka
BatchClassifierEventClass encapsulating a built classifier and a batch of instances to test on.Classweka.gui.beansWeka
BatchClassifierListenerInterface to something that can process a BatchClassifierEventSince:1.Interfaceweka.gui.beansWeka
BatchClustererEventClass encapsulating a built clusterer and a batch of instances toSince:1.Classweka.gui.beansWeka
BatchClustererListenerInterface to something that can process a BatchClustererEventVersion:$Revision: 8034 $Author:MStefan MutterSee Also:EventListenerInterfaceweka.gui.beansWeka
BatchConverterInterfaceweka.core.convertersWeka
BatchPredictorInterface to something that can produce predictions in a batch manner when presented with a set of Instances.Interfaceweka.coreWeka
BayesInputJava class for BayesInput element declaration.Classweka.core.pmml.jaxbbindingsWeka
BayesInputsJava class for BayesInputs element declaration.Classweka.core.pmml.jaxbbindingsWeka
BayesNet Bayes Network learning using various search algorithms and quality measures.Classweka.classifiers.bayesWeka
BayesNet Generates random instances based on a Bayes network.Classweka.datagenerators.classifiers.classificationWeka
BayesNetEstimator BayesNetEstimator is the base class for estimating the conditional probability tables of a Bayes network once the structure hasClassweka.classifiers.bayes.net.estimateWeka
BayesNetGenerator Bayes Network learning using various search algorithms and quality measures.Classweka.classifiers.bayes.netWeka
BayesOutputJava class for BayesOutput element declaration.Classweka.core.pmml.jaxbbindingsWeka
BeanCommonInterface specifying routines that all weka beans should implement in order to allow the bean environment to exercise some control over theInterfaceweka.gui.beansWeka
BeanConnectionClass for encapsulating a connection between two beans.Classweka.gui.beansWeka
BeanCustomizer a listener interested in notification about whether the customizer has modified the object that it is customizing.Interfaceweka.gui.beansWeka
BeanInstanceClass that manages a set of beans.Classweka.gui.beansWeka
BeansPropertiesUtility class encapsulating various properties for the KnowledgeFlow and providing methods to register and deregister plugin Bean componentsClassweka.gui.beansWeka
BeanVisualBeanVisual encapsulates icons and label for a given bean.Classweka.gui.beansWeka
BestFirst Searches the space of attribute subsets by greedy hillclimbing augmented with a backtracking facility.Classweka.attributeSelectionWeka
BIFFormatExceptionThis is the Exception thrown by BIFParser, if there was an error in parsing the XMLBIF string or inputClassweka.gui.graphvisualizerWeka
BIFParserThis class parses an inputstream or a string in XMLBIF ver.Classweka.gui.graphvisualizerWeka
BIFReader Builds a description of a Bayes Net classifier stored in XML BIF 0.Classweka.classifiers.bayes.netWeka
BinaryItemClass that encapsulates an item whose backing Attribute isVersion:$Revision; $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.associationsWeka
BinarySimilarityJava class for binarySimilarity element declaration.Classweka.core.pmml.jaxbbindingsWeka
BinarySparseInstanceClass for storing a binary-data-only instance as a sparse vector.Classweka.coreWeka
BinC45ModelSelectionClass for selecting a C4.Classweka.classifiers.trees.j48Weka
BinC45SplitClass implementing a binary C4.Classweka.classifiers.trees.j48Weka
BIRCHCluster Cluster data generator designed for the BIRCH Dataset is generated with instances in K clusters.Classweka.datagenerators.clusterersWeka
BlockA step that waits for a specified step to finish processing before allowing incoming data to proceed downstream.Classweka.knowledgeflow.stepsWeka
BlockStepEditorDialogStep editor dialog for the Block stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
BMAEstimator BMAEstimator estimates conditional probability tables of a Bayes network using Bayes Model Averaging (BMA).Classweka.classifiers.bayes.net.estimateWeka
BMPWriterThis class takes any JComponent and outputs it to a BMP-file.Classweka.gui.visualizeWeka
BottomUpConstructor The class that constructs a ball tree bottom up.Classweka.core.neighboursearch.balltreesWeka
BoundaryPanelBoundaryPanel.Classweka.gui.boundaryvisualizerWeka
BoundaryPanelDistributedThis class extends BoundaryPanel with code for distributing the processing necessary to create a visualization among a list of remote machines.Classweka.gui.boundaryvisualizerWeka
BoundaryPlotterA step that computes visualization data for class/cluster decisionVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWeka
BoundaryPlotterInteractiveViewInteractive viewer component for the boundary plotter stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
BoundaryPlotterStepEditorDialogEditor dialog for the boundary plotter stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
BoundaryValueMeansJava class for BoundaryValueMeans element declaration.Classweka.core.pmml.jaxbbindingsWeka
BoundaryValuesJava class for BoundaryValues element declaration.Classweka.core.pmml.jaxbbindingsWeka
BoundaryVisualizerBoundaryVisualizer.Classweka.gui.boundaryvisualizerWeka
BrowserHelperA little helper class for browser related stuff.Classweka.guiWeka
BuiltInArithmeticBuilt-in function for +, -, *, /.Classweka.core.pmmlWeka
BuiltInMathBuilt-in function for min, max, sum, avg, log10, ln, sqrt, abs, exp, pow, threshold, floor, ceil and round.Classweka.core.pmmlWeka
BuiltInStringBuilt-in function for uppercase, substring and trimblanks.Classweka.core.pmmlWeka
BVDecompose Class for performing a Bias-Variance decomposition on any classifier using the method specified in: Ron Kohavi, David H.Classweka.classifiersWeka
BVDecomposeSegCVSub This class performs Bias-Variance decomposion on any classifier using the sub-sampled cross-validation procedure as specified in (1).Classweka.classifiersWeka
C45Loader Reads a file that is C45 format.Classweka.core.convertersWeka
C45ModelSelectionClass for selecting a C4.Classweka.classifiers.trees.j48Weka
C45PruneableClassifierTreeClass for handling a tree structure that can be pruned using C4.Classweka.classifiers.trees.j48Weka
C45PruneableDecListClass for handling a partial tree structure pruned using C4.Classweka.classifiers.rules.partWeka
C45Saver Writes to a destination that is in the format used by the C4.Classweka.core.convertersWeka
C45SplitClass implementing a C4.Classweka.classifiers.trees.j48Weka
CachedKernelBase class for RBFKernel and PolyKernel that implements a simple LRU.Classweka.classifiers.functions.supportVectorWeka
CallbackNotifierDelegateInterface to something that can notify a Step that a Task submitted by ExecutionEnvironment.Interfaceweka.knowledgeflowWeka
Canopy Cluster data using the capopy clustering algorithm, which requires just one pass over the data.Classweka.clusterersWeka
CapabilitiesA class that describes the capabilites (e.Classweka.coreWeka
CapabilitiesHandlerClasses implementing this interface return their capabilities in regardsVersion:$Revision: 11006 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:CapabilitiesInterfaceweka.coreWeka
CapabilitiesIgnorerClasses implementing this interface make it possible to turn off capabilities checking.Interfaceweka.coreWeka
CartesianProduct A filter for performing the Cartesian product of a set of nominal attributes.Classweka.filters.unsupervised.attributeWeka
CARuleMinerInterface for learning class association rules.Interfaceweka.associationsWeka
CategoricalPredictorJava class for CategoricalPredictor element declaration.Classweka.core.pmml.jaxbbindingsWeka
CategoriesJava class for Categories element declaration.Classweka.core.pmml.jaxbbindingsWeka
CategoryJava class for Category element declaration.Classweka.core.pmml.jaxbbindingsWeka
CATSCORINGMETHODenum CATSCORINGMETHODJava class for CAT-SCORING-METHOD.Classweka.core.pmml.jaxbbindingsWeka
Center Centers all numeric attributes in the given dataset to have zero mean (apart from the class attribute, if set).Classweka.filters.unsupervised.attributeWeka
CfsSubsetEval Evaluates the worth of a subset of attributes by considering the individual predictive ability of each feature along with the degree of redundancyClassweka.attributeSelectionWeka
ChangeDateFormat Changes the date format used by a date attribute.Classweka.filters.unsupervised.attributeWeka
CharacterDelimitedTokenizerAbstract superclass for tokenizers that take characters as delimiters.Classweka.core.tokenizersWeka
CharacteristicJava class for Characteristic element declaration.Classweka.core.pmml.jaxbbindingsWeka
CharacteristicsJava class for Characteristics element declaration.Classweka.core.pmml.jaxbbindingsWeka
CharacterNGramTokenizer Splits a string into an n-gram with min and max Valid options are:Classweka.core.tokenizersWeka
ChartEventEvent encapsulating info for plotting a data point on the StripChartVersion:$Revision: 10216 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
ChartListenerInterface to something that can process a ChartEventVersion:$Revision: 8034 $Author:Mark HallInterfaceweka.gui.beansWeka
ChebychevJava class for chebychev element declaration.Classweka.core.pmml.jaxbbindingsWeka
ChebyshevDistance Implements the Chebyshev distance.Classweka.coreWeka
CheckAbstract general class for testing in Weka.Classweka.coreWeka
CheckAssociatorClass for examining the capabilities and finding problems with associators.Classweka.associationsWeka
CheckAttributeSelectionClass for examining the capabilities and finding problems with attribute selection schemes.Classweka.attributeSelectionWeka
CheckBoxListAn extended JList that contains CheckBoxes.Classweka.guiWeka
CheckClassifierClass for examining the capabilities and finding problems with classifiers.Classweka.classifiersWeka
CheckClustererClass for examining the capabilities and finding problems with clusterers.Classweka.clusterersWeka
CheckEstimatorClass for examining the capabilities and finding problems with estimators.Classweka.estimatorsWeka
CheckGOESimple command line checking of classes that are editable in the GOE.Classweka.coreWeka
CheckKernelClass for examining the capabilities and finding problems with kernels.Classweka.classifiers.functions.supportVectorWeka
CheckOptionHandlerSimple command line checking of classes that implement OptionHandler.Classweka.coreWeka
CheckSchemeAbstract general class for testing schemes in Weka.Classweka.coreWeka
CheckSourceA simple class for checking the source generated from Classifiers implementing the weka.Classweka.classifiersWeka
CheckSourceA simple class for checking the source generated from Filters implementing the weka.Classweka.filtersWeka
ChildParentJava class for ChildParent element declaration.Classweka.core.pmml.jaxbbindingsWeka
CholeskyDecompositionCholesky Decomposition.Classweka.core.matrixWeka
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.ciWeka
CityBlockJava class for cityBlock element declaration.Classweka.core.pmml.jaxbbindingsWeka
ClassAssigner Filter that can set and unset the class index.Classweka.filters.unsupervised.attributeWeka
ClassAssignerBean that assigns a class attribute to a data set.Classweka.gui.beansWeka
ClassAssignerKnowledge Flow step for assigning a class attribute in incoming dataVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWeka
ClassAssignerBeanInfoBeanInfo class for the class assigner beanVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWeka
ClassAssignerCustomizerGUI customizer for the class assigner beanVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
ClassAssignerStepEditorDialogStep editor dialog for the ClassAssigner stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
ClassBalancer Reweights the instances in the data so that each class has the same total weight.Classweka.filters.supervised.instanceWeka
ClassCacheA singleton that stores all classes on the classpath.Classweka.coreWeka
ClassConditionalProbabilities Converts the values of nominal and/or numeric attributes into class conditional probabilities.Classweka.filters.supervised.attributeWeka
ClassDiscoveryThis class is used for discovering classes that implement a certain interface or a derived from a certain class.Classweka.coreWeka
ClassificationGeneratorAbstract class for data generators for classifiers.Classweka.datageneratorsWeka
ClassificationViaRegression Class for doing classification using regression methods.Classweka.classifiers.metaWeka
ClassifierClassifier interface.Interfaceweka.classifiersWeka
ClassifierBean that wraps around weka.Classweka.gui.beansWeka
ClassifierStep that wraps a Weka classifier.Classweka.knowledgeflow.stepsWeka
ClassifierBeanInfoBeanInfo class for the Classifier wrapper beanVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWeka
ClassifierCustomizerGUI customizer for the classifier wrapper beanVersion:$Revision: 9213 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
ClassifierDecListClass for handling a rule (partial tree) for a decision list.Classweka.classifiers.rules.partWeka
ClassifierErrorsPlotInstancesA class for generating plottable visualization errors.Classweka.gui.explorerWeka
ClassifierPanelThis panel allows the user to select and configure a classifier, set the attribute of the current dataset to be used as the class, and evaluate theClassweka.gui.explorerWeka
ClassifierPanelLaunchHandlerPluginInterface to plugin that can take the current state of the Classifier panel and execute it.Interfaceweka.gui.explorerWeka
ClassifierPerformanceEvaluatorA bean that evaluates the performance of batch trained classifiersVersion:$Revision: 12704 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
ClassifierPerformanceEvaluatorStep that implements batch classifier evaluationVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWeka
ClassifierPerformanceEvaluatorBeanInfoBean info class for the classifier performance evaluatorVersion:$Revision: 9455 $Author:Mark HallClassweka.gui.beansWeka
ClassifierPerformanceEvaluatorCustomizerGUI customizer for the classifier performance evaluator componentVersion:$Revision: 9320 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.beansWeka
ClassifierPerformanceEvaluatorStepEditorDialogGUI step editor dialog for the ClassifierPerformanceEvaluator stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
ClassifierSplitEvaluator A SplitEvaluator that produces results for a classification scheme on a nominal class attribute.Classweka.experimentWeka
ClassifierSplitModelAbstract class for classification models that can be used recursively to split the data.Classweka.classifiers.trees.j48Weka
ClassifierTreeClass for handling a tree structure used for classification.Classweka.classifiers.trees.j48Weka
ClassLabelsJava class for ClassLabels element declaration.Classweka.core.pmml.jaxbbindingsWeka
ClassloaderUtilUtility class that can add jar files to the classpath dynamically.Classweka.coreWeka
ClassOrder Changes the order of the classes so that the class values are no longer of in the order specified in the header.Classweka.filters.supervised.attributeWeka
ClassPanelThis panel displays coloured labels for nominal attributes and a spectrum for numeric attributes.Classweka.gui.visualizeWeka
ClassValuePickerClassweka.gui.beansWeka
ClassValuePickerStep that allows the selection of the class label that is to be considered as the "positive" class when computing threshold curves.Classweka.knowledgeflow.stepsWeka
ClassValuePickerBeanInfoBeanInfo class for the class value picker beanVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWeka
ClassValuePickerCustomizerClassweka.gui.beansWeka
ClassValuePickerStepEditorDialogEditor dialog for the ClassValuePicker step.Classweka.gui.knowledgeflow.stepsWeka
CloseableTabTitleTab title widget that allows the user to click a little cross in order toVersion:$Revision: 11870 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.guiWeka
ClusterJava class for Cluster element declaration.Classweka.core.pmml.jaxbbindingsWeka
ClusterDefinitionAncestor to all ClusterDefinitions, i.Classweka.datageneratorsWeka
ClustererInterface for clusterers.Interfaceweka.clusterersWeka
ClustererBean that wraps around weka.Classweka.gui.beansWeka
ClustererStep that wraps a Weka clusterer.Classweka.knowledgeflow.stepsWeka
ClustererAssignmentsPlotInstancesA class for generating plottable cluster assignments.Classweka.gui.explorerWeka
ClustererBeanInfoBeanInfo class for the Clusterer wrapper beanVersion:$Revision: 8034 $Author:Stefan MutterClassweka.gui.beansWeka
ClustererCustomizerGUI customizer for the Clusterer wrapper beanVersion:$Revision: 8034 $Author:Stefan MutterSee Also:Serialized FormClassweka.gui.beansWeka
ClustererPanelThis panel allows the user to select and configure a clusterer, and evaluate the clusterer using a number of testing modes (test on the training data,Classweka.gui.explorerWeka
ClustererPanelLaunchHandlerPluginInterface to plugin that can take the current state of the Clusterer panel and execute it.Interfaceweka.gui.explorerWeka
ClustererPerformanceEvaluatorA bean that evaluates the performance of batch trained clusterersVersion:$Revision: 10220 $Author:Stefan MutterSee Also:Serialized FormClassweka.gui.beansWeka
ClustererPerformanceEvaluatorA step that evaluates the performance of batch trained clusterersVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWeka
ClustererPerformanceEvaluatorBeanInfoBean info class for the clusterer performance evaluatorVersion:$Revision: 8034 $Author:Stefan MutterClassweka.gui.beansWeka
ClusterEvaluationClass for evaluating clustering models.Classweka.clusterersWeka
ClusterGeneratorAbstract class for cluster data generators.Classweka.datageneratorsWeka
ClusteringFieldJava class for ClusteringField element declaration.Classweka.core.pmml.jaxbbindingsWeka
ClusteringModelJava class for ClusteringModel element declaration.Classweka.core.pmml.jaxbbindingsWeka
ClusteringModelQualityJava class for ClusteringModelQuality element declaration.Classweka.core.pmml.jaxbbindingsWeka
ClusterMembership A filter that uses a density-based clusterer to generate cluster membership values; filtered instances are composed of theseClassweka.filters.unsupervised.attributeWeka
Cobweb Class implementing the Cobweb and Classit clustering algorithms.Classweka.clusterersWeka
CoefficientJava class for Coefficient element declaration.Classweka.core.pmml.jaxbbindingsWeka
CoefficientsJava class for Coefficients element declaration.Classweka.core.pmml.jaxbbindingsWeka
ColorEditorA property editor for colors that uses JColorChooser as theVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.guiWeka
ColorsThis class maintains a list that contains all the colornames from the dotty standard and what color (in RGB) they representClassweka.gui.treevisualizerWeka
CommandlineRunnableInterface to something that can be run from the command line.Interfaceweka.coreWeka
COMPAREFUNCTIONenum COMPAREFUNCTIONJava class for COMPARE-FUNCTION.Classweka.core.pmml.jaxbbindingsWeka
ComparisonMeasureJava class for ComparisonMeasure element declaration.Classweka.core.pmml.jaxbbindingsWeka
ComparisonsJava class for Comparisons element declaration.Classweka.core.pmml.jaxbbindingsWeka
ComponentHelperA helper class for some common tasks with Dialogs, Icons, etc.Classweka.guiWeka
CompoundPredicateJava class for CompoundPredicate element declaration.Classweka.core.pmml.jaxbbindingsWeka
CompoundRuleJava class for CompoundRule element declaration.Classweka.core.pmml.jaxbbindingsWeka
ComputeInterface to something that can accept remote connections and executeVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.Interfaceweka.experimentWeka
Con1 Java class for Con element declaration.Classweka.core.pmml.jaxbbindingsWeka
ConditionalDensityEstimatorInterface for numeric prediction schemes that can output conditionalVersion:$Revision: 8034 $Author:Eibe Frank (eibe@cs.Interfaceweka.classifiersWeka
ConditionalEstimatorInterface for conditional probability estimators.Interfaceweka.estimatorsWeka
ConditionalSufficientStatsRecords sufficient stats for an attributeVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
ConfigurationEventMatching event for ConfigurationListener.Classweka.gui.beansWeka
ConfigurationListenerMatching listener for ConfigurationEvent.Interfaceweka.gui.beansWeka
ConfigurationProducerMarker interface for components that can share their configuration.Interfaceweka.gui.beansWeka
ConfusionMatrixCells of this matrix correspond to counts of the number (or weight) of predictions for each actual value / predicted value combination.Classweka.classifiers.evaluationWeka
ConfusionMatrixJava class for ConfusionMatrix element declaration.Classweka.core.pmml.jaxbbindingsWeka
ConjugateGradientOptimizationThis subclass of Optimization.Classweka.coreWeka
ConnectionEventAn event that is generated when a connection is established or dropped.Classweka.gui.sql.eventWeka
ConnectionListenerA listener for connect/disconnect events.Interfaceweka.gui.sql.eventWeka
ConnectionNotificationConsumerInterface for Beans that can receive (dis-)connection events generated when (dis-)connecting data processing nodes in the Weka KnowledgeFlow.Interfaceweka.gui.beansWeka
ConnectionPanelEnables the user to insert a database URL, plus user/password to connect toVersion:$Revision: 10222 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized FormClassweka.gui.sqlWeka
ConsequentSequenceJava class for ConsequentSequence element declaration.Classweka.core.pmml.jaxbbindingsWeka
ConsoleLoggerA simple logger that outputs the logging information in the console.Classweka.core.loggingWeka
ConstantClass encapsulating a Constant Expression.Classweka.core.pmmlWeka
ConstantJava class for Constant element declaration.Classweka.core.pmml.jaxbbindingsWeka
ConstraintsJava class for Constraints element declaration.Classweka.core.pmml.jaxbbindingsWeka
ContingencyTablesClass implementing some statistical routines for contingency tables.Classweka.coreWeka
CONTSCORINGMETHODenum CONTSCORINGMETHODJava class for CONT-SCORING-METHOD.Classweka.core.pmml.jaxbbindingsWeka
ContStatsJava class for ContStats element declaration.Classweka.core.pmml.jaxbbindingsWeka
ConverterFileChooserA specialized JFileChooser that lists all available file Loaders and Savers.Classweka.guiWeka
ConverterUtilsUtility routines for the converter package.Classweka.core.convertersWeka
Copy An instance filter that copies a range of attributes in the dataset.Classweka.filters.unsupervised.attributeWeka
CopyableInterface implemented by classes that can produce "shallow" copies of their objects.Interfaceweka.coreWeka
CopyrightA class for providing centralized Copyright information.Classweka.coreWeka
CorrelationAttributeEval CorrelationAttributeEval : Evaluates the worth of an attribute by measuring the correlation (Pearson's)Classweka.attributeSelectionWeka
CorrelationFieldsJava class for CorrelationFields element declaration.Classweka.core.pmml.jaxbbindingsWeka
CorrelationMethodsJava class for CorrelationMethods element declaration.Classweka.core.pmml.jaxbbindingsWeka
CorrelationsJava class for Correlations element declaration.Classweka.core.pmml.jaxbbindingsWeka
CorrelationSplitInfoFinds split points using correlation.Classweka.classifiers.trees.m5Weka
CorrelationValuesJava class for CorrelationValues element declaration.Classweka.core.pmml.jaxbbindingsWeka
CostBenefitAnalysisBean that aids in analyzing cost/benefit tradeoffs.Classweka.gui.beansWeka
CostBenefitAnalysisStep for storing and viewing threshold data in a cost-benefit visualizationVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWeka
CostBenefitAnalysisBeanInfoBean info class for the cost/benefit analysisVersion:$Revision: 8046 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.beansWeka
CostBenefitAnalysisInteractiveViewInteractive view for the CostBenefitAnalysis stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
CostBenefitAnalysisPanelPanel for displaying the cost-benefit plots and all control widgets.Classweka.guiWeka
CostCurveGenerates points illustrating probablity cost tradeoffs that can be obtained by varying the threshold value between classes.Classweka.classifiers.evaluationWeka
CostMatrixClass for storing and manipulating a misclassification cost matrix.Classweka.classifiersWeka
CostMatrixEditorClass for editing CostMatrix objects.Classweka.guiWeka
CostSensitiveClassifier A metaclassifier that makes its base classifier cost-sensitive.Classweka.classifiers.metaWeka
CostSensitiveClassifierSplitEvaluator SplitEvaluator that produces results for a classification scheme on a nominal class attribute, including weightedClassweka.experimentWeka
CountsJava class for Counts element declaration.Classweka.core.pmml.jaxbbindingsWeka
COUNTTABLETYPEJava class for COUNT-TABLE-TYPE complex type.Classweka.core.pmml.jaxbbindingsWeka
CovariancesJava class for Covariances element declaration.Classweka.core.pmml.jaxbbindingsWeka
CovariateListJava class for CovariateList element declaration.Classweka.core.pmml.jaxbbindingsWeka
CoverTree Class implementing the CoverTree datastructure.Classweka.core.neighboursearchWeka
CrossValidationFoldMakerBean for splitting instances into training ant test sets according to a crossVersion:$Revision: 10220 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
CrossValidationFoldMakerStep for generating cross-validation splitsVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWeka
CrossValidationFoldMakerBeanInfoBeanInfo class for the cross validation fold maker beanVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWeka
CrossValidationFoldMakerCustomizerGUI Customizer for the cross validation fold maker beanVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
CrossValidationResultProducer Generates for each run, carries out an n-fold cross-validation, using the set SplitEvaluator to generate some results.Classweka.experimentWeka
CrossValidationSplitResultProducer Carries out one split of a repeated k-fold cross-validation, using the set SplitEvaluator to generate some results.Classweka.experimentWeka
CSV Outputs the predictions as CSV.Classweka.classifiers.evaluation.output.predictionWeka
CSVLoader Reads a source that is in comma separated format (the default).Classweka.core.convertersWeka
CSVResultListener Takes results from a result producer and assembles them into comma separated value form.Classweka.experimentWeka
CSVSaver Writes to a destination that is in CSV (comma-separated values) format.Classweka.core.convertersWeka
CUMULATIVELINKFUNCTIONenum CUMULATIVELINKFUNCTIONJava class for CUMULATIVE-LINK-FUNCTION.Classweka.core.pmml.jaxbbindingsWeka
CustomDisplayStringProviderFor classes that do not implement the OptionHandler interface and want to provide a custom display string in the GenericObjectEditor, which is more Interfaceweka.coreWeka
CustomizerCloseRequesterCustomizers who want to be able to close the customizer window themselves can implement this window.Interfaceweka.gui.beansWeka
CustomizerClosingListenerInterfaceweka.gui.beansWeka
CustomPanelSupplierAn interface for objects that are capable of supplying their own custom GUI components.Interfaceweka.guiWeka
CVParameterSelection Class for performing parameter selection by cross-validation for any classifier.Classweka.classifiers.metaWeka
DataClass for encapsulating data to be transferred between Knowledge Flow steps over a particular connection type.Classweka.knowledgeflowWeka
DatabaseConnectionConnects to a database.Classweka.core.convertersWeka
DatabaseConnectionDialogA dialog to enter URL, username and password for a database connection.Classweka.guiWeka
DatabaseConverterMarker interface for a loader/saver that uses a databaseVersion:$Revision 1.Interfaceweka.core.convertersWeka
DatabaseLoader Reads Instances from a Database.Classweka.core.convertersWeka
DatabaseResultListener Takes results from a result producer and sends themVersion:$Revision: 11247 $Author:Len Trigg (trigg@cs.Classweka.experimentWeka
DatabaseResultProducer Examines a database and extracts out the results produced by the specified ResultProducer and submits them to the specifiedClassweka.experimentWeka
DatabaseSaver Writes to a database (tested with MySQL, InstantDB, Valid options are:Classweka.core.convertersWeka
DatabaseUtilsDatabaseUtils provides utility functions for accessing the experiment database.Classweka.experimentWeka
DataCollectorAuxiliary interface for steps that collect data results of some type - e.Interfaceweka.knowledgeflow.stepsWeka
DataDictionaryJava class for DataDictionary element declaration.Classweka.core.pmml.jaxbbindingsWeka
DataFieldJava class for DataField element declaration.Classweka.core.pmml.jaxbbindingsWeka
DataFormatListenerListener interface that customizer classes that are interested in data format changes can implement.Interfaceweka.gui.beansWeka
DataGeneratorAbstract superclass for data generators that generate data for classifiersVersion:$Revision: 10583 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized FormClassweka.datageneratorsWeka
DataGeneratorInterface to something that can generate new instances based on a set of input instancesInterfaceweka.gui.boundaryvisualizerWeka
DataGeneratorStep that wraps a Weka DataGenerator.Classweka.knowledgeflow.stepsWeka
DataGeneratorPanelA panel for generating artificial data via DataGenerators.Classweka.gui.explorerWeka
DataGridA step that allows the user to define instances to outputVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWeka
DataGridStepEditorDialogStep editor dialog for the data gridVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
DataSetEventEvent encapsulating a data setVersion:$Revision: 8034 $Author:Mark HallSee Also:EventObject, Classweka.gui.beansWeka
DatasetListPanelThis panel controls setting a list of datasets for an experiment to iterateVersion:$Revision: 10222 $Author:Len Trigg (trigg@cs.Classweka.gui.experimentWeka
DataSinkInterfaceweka.gui.beansWeka
DataSourceInterface to something that is capable of being a source for data - either batch or incremental dataInterfaceweka.gui.beansWeka
DataSourceListenerInterface to something that can accept DataSetEventsSince:1.Interfaceweka.gui.beansWeka
DATATYPEJava class for DATATYPE.Classweka.core.pmml.jaxbbindingsWeka
DataVisualizerBean that encapsulates weka.Classweka.gui.beansWeka
DataVisualizerA step that provides a visualization based on weka.Classweka.knowledgeflow.stepsWeka
DataVisualizerBeanInfoBean info class for the data visualizerVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWeka
DataVisualizerCustomizerGUI customizer for data visualizer.Classweka.gui.beansWeka
DataVisualizerInteractiveViewInteractive viewer for the DataVisualizer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
DataVisualizerStepEditorDialogEditor dialog for the DataVisualizer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
DateAttributeInfoStores information for date attributes.Classweka.coreWeka
DbUtilsA little bit extended DatabaseUtils class.Classweka.gui.sqlWeka
DDConditionalEstimatorConditional probability estimator for a discrete domain conditional uponVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs.Classweka.estimatorsWeka
DebugA helper class for debug output, logging, clocking, etc.Classweka.coreWeka
DecisionJava class for Decision element declaration.Classweka.core.pmml.jaxbbindingsWeka
DecisionsJava class for Decisions element declaration.Classweka.core.pmml.jaxbbindingsWeka
DecisionStump Class for building and using a decision stump.Classweka.classifiers.treesWeka
DecisionTable Class for building and using a simple decision table majority classifier.Classweka.classifiers.rulesWeka
DecisionTableHashKeyClass providing hash table keys for DecisionTableSee Also:Serialized FormClassweka.classifiers.rulesWeka
DecisionTreeJava class for DecisionTree element declaration.Classweka.core.pmml.jaxbbindingsWeka
DefaultAssociationRuleClass for storing and manipulating an association rule.Classweka.associationsWeka
DefaultCallbackNotifierDelegateDefault implementation of a CallbackNotifierDelegate.Classweka.knowledgeflowWeka
DefaultPackageA concrete implementation of Package that uses Java properties files/classes to manage package meta data.Classweka.core.packageManagementWeka
DefaultPackageManagerA concrete implementation of PackageManager that uses Java properties files/class to manage package meta data.Classweka.core.packageManagementWeka
DefaultsBase class for providing a set of default settings for an application.Classweka.coreWeka
DefineFunctionClass encapsulating DefineFunction (used in TransformationDictionary).Classweka.core.pmmlWeka
DefineFunctionJava class for DefineFunction element declaration.Classweka.core.pmml.jaxbbindingsWeka
DelayedCallbackNotifierDelegate and only notifies the callback when the notifyNow() method is called.Classweka.knowledgeflowWeka
DelimiterJava class for Delimiter element declaration.Classweka.core.pmml.jaxbbindingsWeka
DELIMITER2Java class for DELIMITER.Classweka.core.pmml.jaxbbindingsWeka
DenseInstanceClass for handling an instance.Classweka.coreWeka
DensityBasedClustererInterface for clusterers that can estimate the density for a given instance.Interfaceweka.clusterersWeka
DensityBasedClustererSplitEvaluator A SplitEvaluator that produces results for a density based clusterer.Classweka.experimentWeka
DependencyClass that encapsulates a dependency between two packagesVersion:$Revision: 44030 $Author:mhall (mhall{[at]}pentaho{[dot]}com)Classweka.core.packageManagementWeka
DerivedFieldJava class for DerivedField element declaration.Classweka.core.pmml.jaxbbindingsWeka
DerivedFieldMetaInfoClassweka.core.pmmlWeka
DesignPanelPanel that contains the tree view of steps and the searchVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflowWeka
DictionaryBuilderClass for building and maintaining a dictionary of terms.Classweka.coreWeka
DictionarySaver Writes a dictionary constructed from string attributes in incoming instances to a destination.Classweka.core.convertersWeka
DiscreteEstimatorSimple symbolic probability estimator based on symbol counts.Classweka.estimatorsWeka
DiscreteEstimatorBayesSymbolic probability estimator based on symbol counts and a prior.Classweka.classifiers.bayes.net.estimateWeka
DiscreteEstimatorFullBayesSymbolic probability estimator based on symbol counts and a prior.Classweka.classifiers.bayes.net.estimateWeka
DiscretizeClass encapsulating a Discretize Expression.Classweka.core.pmmlWeka
DiscretizeJava class for Discretize element declaration.Classweka.core.pmml.jaxbbindingsWeka
Discretize An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.Classweka.filters.supervised.attributeWeka
Discretize An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.Classweka.filters.unsupervised.attributeWeka
DiscretizeBinJava class for DiscretizeBin element declaration.Classweka.core.pmml.jaxbbindingsWeka
DiscrStatsJava class for DiscrStats element declaration.Classweka.core.pmml.jaxbbindingsWeka
DistanceFunctionInterface for any class that can compute and return distances between twoVersion:$Revision: 10535 $Author:Ashraf M.Interfaceweka.coreWeka
DistributeExperimentPanelThis panel enables an experiment to be distributed to multiple hosts; it also allows remote host names to be specified.Classweka.gui.experimentWeka
DistributionClass for handling a distribution of class values.Classweka.classifiers.trees.j48Weka
DKConditionalEstimatorConditional probability estimator for a discrete domain conditional uponVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs.Classweka.estimatorsWeka
DNConditionalEstimatorConditional probability estimator for a discrete domain conditional uponVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs.Classweka.estimatorsWeka
DocumentPrintingDocumentPrinting is a class that lets you print documents on the fly for free ;) Printing in JDK 1.Classweka.guiWeka
DocumentTermMatrixJava class for DocumentTermMatrix element declaration.Classweka.core.pmml.jaxbbindingsWeka
DotParserThis class parses input in DOT format, and builds the datastructures that are passed to it.Classweka.gui.graphvisualizerWeka
DrawableInterface to something that can be drawn as a graph.Interfaceweka.coreWeka
DummyA "dummy" no-op stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWeka
EdgeThis class is used in conjunction with the Node class to form a tree structure.Classweka.gui.treevisualizerWeka
EditableBayesNet Bayes Network learning using various search algorithms and quality measures.Classweka.classifiers.bayes.netWeka
EigenvalueDecompositionEigenvalues and eigenvectors of a real matrix.Classweka.core.matrixWeka
EM Simple EM (expectation maximisation) class.Classweka.clusterersWeka
EntropyBasedSplitCritClassweka.classifiers.trees.j48Weka
ModelPerformanceChartInteractiveViewInteractive viewer for the ModelPerformanceChart stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
ModelPerformanceChartStepEditorDialogStep editor dialog for the ModelPerformanceChart stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
ModelSelectionAbstract class for model selection criteria.Classweka.classifiers.trees.j48Weka
ModelStatsJava class for ModelStats element declaration.Classweka.core.pmml.jaxbbindingsWeka
ModelVerificationJava class for ModelVerification element declaration.Classweka.core.pmml.jaxbbindingsWeka
MultiClassClassifier A metaclassifier for handling multi-class datasets with 2-class classifiers.Classweka.classifiers.metaWeka
MultiClassClassifierUpdateable A metaclassifier for handling multi-class datasets with 2-class classifiers.Classweka.classifiers.metaWeka
MultiFilter Applies several filters successively.Classweka.filtersWeka
MultiInstanceCapabilitiesHandlerMulti-Instance classifiers can specify an additional Capabilities object for the data in the relational attribute, since the format of multi-instanceInterfaceweka.coreWeka
MultilayerPerceptron A Classifier that uses backpropagation to classify This network can be built by hand, created by an algorithm or both.Classweka.classifiers.functionsWeka
MultiNomialBMAEstimator Multinomial BMA Estimator.Classweka.classifiers.bayes.net.estimateWeka
MultipleClassifiersCombinerAbstract utility class for handling settings common to meta classifiers that build an ensemble from multiple classifiers.Classweka.classifiersWeka
MULTIPLEMODELMETHODenum MULTIPLEMODELMETHODJava class for MULTIPLE-MODEL-METHOD.Classweka.core.pmml.jaxbbindingsWeka
MultiScheme Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data.Classweka.classifiers.metaWeka
MultiStopwords Applies the specified stopwords algorithms one after other.Classweka.core.stopwordsWeka
MultivariateEstimatorInterface to Multivariate Distribution EstimationVersion:$Revision: 12743 $Author:Uday Kamath, PhD candidate George Mason UniversityInterfaceweka.estimatorsWeka
MultivariateGaussianEstimatorClassweka.estimatorsWeka
MultivariateStatJava class for MultivariateStat element declaration.Classweka.core.pmml.jaxbbindingsWeka
MultivariateStatsJava class for MultivariateStats element declaration.Classweka.core.pmml.jaxbbindingsWeka
NaiveBayes Class for a Naive Bayes classifier using estimator classes.Classweka.classifiers.bayesWeka
NaiveBayes The NaiveBayes class generates a fixed Bayes network structure with arrows from the class variable to each of the attribute variables.Classweka.classifiers.bayes.net.search.fixedWeka
NaiveBayesModelJava class for NaiveBayesModel element declaration.Classweka.core.pmml.jaxbbindingsWeka
NaiveBayesMultinomialText Multinomial naive bayes for text data.Classweka.classifiers.bayesWeka
NaiveBayesUpdateable Class for a Naive Bayes classifier using estimator classes.Classweka.classifiers.bayesWeka
NamedColorThis class contains a color name and the rgb values of that colorVersion:$Revision: 8034 $Author:Malcolm Ware (mfw4@cs.Classweka.gui.treevisualizerWeka
NBNodeClassweka.classifiers.trees.htWeka
NBNodeAdaptive Bayes for predictionVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
NBTreeClassifierTreeClass for handling a naive bayes tree structure used for classification.Classweka.classifiers.trees.j48Weka
NBTreeModelSelectionClass for selecting a NB tree split.Classweka.classifiers.trees.j48Weka
NBTreeNoSplitClass implementing a "no-split"-split (leaf node) for naive bayesVersion:$Revision: 10531 $Author:Mark Hall (mhall@cs.Classweka.classifiers.trees.j48Weka
NBTreeSplitClass implementing a NBTree split on an attribute.Classweka.classifiers.trees.j48Weka
NDConditionalEstimatorConditional probability estimator for a numeric domain conditional upon a discrete domain (utilises separate normal estimators for each discreteClassweka.estimatorsWeka
NearestNeighborModelJava class for NearestNeighborModel element declaration.Classweka.core.pmml.jaxbbindingsWeka
NearestNeighbourSearchAbstract class for nearest neighbour search.Classweka.core.neighboursearchWeka
NeuralConnectionAbstract unit in a NeuralNetwork.Classweka.classifiers.functions.neuralWeka
NeuralInputJava class for NeuralInput element declaration.Classweka.core.pmml.jaxbbindingsWeka
NeuralInputsJava class for NeuralInputs element declaration.Classweka.core.pmml.jaxbbindingsWeka
NeuralLayerJava class for NeuralLayer element declaration.Classweka.core.pmml.jaxbbindingsWeka
NeuralMethodThis is an interface used to create classes that can be used by the neuralnode to perform all it's computations.Interfaceweka.classifiers.functions.neuralWeka
NeuralNetworkClass implementing import of PMML Neural Network model.Classweka.classifiers.pmml.consumerWeka
NeuralNetworkJava class for NeuralNetwork element declaration.Classweka.core.pmml.jaxbbindingsWeka
NeuralNodeThis class is used to represent a node in the neuralnet.Classweka.classifiers.functions.neuralWeka
NeuralOutputJava class for NeuralOutput element declaration.Classweka.core.pmml.jaxbbindingsWeka
NeuralOutputsJava class for NeuralOutputs element declaration.Classweka.core.pmml.jaxbbindingsWeka
NeuronJava class for Neuron element declaration.Classweka.core.pmml.jaxbbindingsWeka
NGramTokenizer Splits a string into an n-gram with min and max Valid options are:Classweka.core.tokenizersWeka
NNConditionalEstimatorConditional probability estimator for a numeric domain conditional upon a numeric domain (using Mahalanobis distance).Classweka.estimatorsWeka
NNNORMALIZATIONMETHODenum NNNORMALIZATIONMETHODJava class for NN-NORMALIZATION-METHOD.Classweka.core.pmml.jaxbbindingsWeka
NodeInterfaceweka.core.expressionlanguage.coreWeka
NodeJava class for Node element declaration.Classweka.core.pmml.jaxbbindingsWeka
NodeThis class records all the data about a particular node for displaying.Classweka.gui.treevisualizerWeka
NodePlaceThis is an interface for classes that wish to take a node structure and Version:$Revision: 8034 $Author:Malcolm F Ware (mfw4@cs.Interfaceweka.gui.treevisualizerWeka
NoMacrosA macro declarations that contains no macros at allVersion:$Revision: 1000 $Author:Benjamin Weber ( benweber at student dot ethz dot ch )Classweka.core.expressionlanguage.commonWeka
NominalAttributeInfoStores information for nominal and string attributes.Classweka.coreWeka
NominalConditionalSufficientStatsMaintains sufficient stats for the distribution of a nominal attributeVersion:$Revision: 10432 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
NominalItemClass that encapsulates a nominal item.Classweka.associationsWeka
NominalPredictionEncapsulates an evaluatable nominal prediction: the predicted probability distribution plus the actual class value.Classweka.classifiers.evaluationWeka
NominalToBinary Converts all nominal attributes into binary numeric attributes.Classweka.filters.supervised.attributeWeka
NominalToBinary Converts all nominal attributes into binary numeric attributes.Classweka.filters.unsupervised.attributeWeka
NominalToString Converts a nominal attribute (i.Classweka.filters.unsupervised.attributeWeka
NonSparseToSparse An instance filter that converts all incoming instances into sparse format.Classweka.filters.unsupervised.instanceWeka
NormalEstimatorSimple probability estimator that places a single normal distribution over the observed values.Classweka.estimatorsWeka
NormalizableDistanceRepresents the abstract ancestor for normalizable distance functions, like Euclidean or Manhattan distance.Classweka.coreWeka
Normalize Normalizes all numeric values in the given dataset (apart from the class attribute, if set).Classweka.filters.unsupervised.attributeWeka
NormalizedPolyKernel The normalized polynomial kernel.Classweka.classifiers.functions.supportVectorWeka
NormContinuousJava class for NormContinuous element declaration.Classweka.core.pmml.jaxbbindingsWeka
NormContinuousClass encapsulating a NormContinuous Expression.Classweka.core.pmmlWeka
NormDiscreteJava class for NormDiscrete element declaration.Classweka.core.pmml.jaxbbindingsWeka
NormDiscreteClass encapsulating a NormDiscrete Expression.Classweka.core.pmmlWeka
NoSplitClass implementing a "no-split"-split.Classweka.classifiers.trees.j48Weka
NoSupportForMissingValuesExceptionException that is raised by an object that is unable to process data with missing values.Classweka.coreWeka
NoteSimple bean for displaying a textual note on the layout.Classweka.gui.beansWeka
NoteA Knowledge Flow "step" that implements a note on the GUI layoutVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWeka
NoteBeanInfoBean info class for the Note bean.Classweka.gui.beansWeka
NoteCustomizerCustomizer for the note component.Classweka.gui.beansWeka
NoteEditorDialogEditor dialog for NotesVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
NoteVisualVisual representation for the Note "step".Classweka.gui.knowledgeflowWeka
NotPersistableClassweka.knowledgeflow.stepsWeka
NOTRUECHILDSTRATEGYenum NOTRUECHILDSTRATEGYJava class for NO-TRUE-CHILD-STRATEGY.Classweka.core.pmml.jaxbbindingsWeka
NoVariablesA variable declarations that contains no variablesVersion:$Revision: 1000 $Author:Benjamin Weber ( benweber at student dot ethz dot ch )See Also:Serialized FormClassweka.core.expressionlanguage.commonWeka
Null Suppresses all output.Classweka.classifiers.evaluation.output.predictionWeka
Null Dummy stopwords scheme, always returns false.Classweka.core.stopwordsWeka
NullStemmer A dummy stemmer that performs no stemming at all.Classweka.core.stemmersWeka
NumberOfClustersRequestableInterface to a clusterer that can generate a requested number ofVersion:$Revision: 8034 $Author:Mark HallInterfaceweka.clusterersWeka
NumericCleaner A filter that 'cleanses' the numeric data from values that are too small, too big or very close to a certain value (e.Classweka.filters.unsupervised.attributeWeka
NumericInfoJava class for NumericInfo element declaration.Classweka.core.pmml.jaxbbindingsWeka
NumericItemClass that encapsulates a numeric item.Classweka.associationsWeka
NumericPredictionEncapsulates an evaluatable numeric prediction: the predicted class value plus the actual class value.Classweka.classifiers.evaluationWeka
NumericPredictorJava class for NumericPredictor element declaration.Classweka.core.pmml.jaxbbindingsWeka
NumericToBinary Converts all numeric attributes into binary attributes (apart from the class attribute, if set): if the value of theClassweka.filters.unsupervised.attributeWeka
NumericToNominal A filter for turning numeric attributes into nominal ones.Classweka.filters.unsupervised.attributeWeka
NumericTransform Transforms numeric attributes using a given transformation method.Classweka.filters.unsupervised.attributeWeka
Obfuscate A simple instance filter that renames the relation, all attribute names and all nominal (and string) attribute values.Classweka.filters.unsupervised.attributeWeka
ObjectFactoryThis object contains factory methods for each Java content interface and Java element interface Classweka.core.pmml.jaxbbindingsWeka
OffscreenChartRendererInterface to something that can render certain types of chartsVersion:$Revision: 12055 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Interfaceweka.gui.beansWeka
OneR Class for building and using a 1R classifier; in other words, uses the minimum-error attribute for prediction, discretizingClassweka.classifiers.rulesWeka
OneRAttributeEval OneRAttributeEval : Evaluates the worth of an attribute by using the OneR classifier.Classweka.attributeSelectionWeka
OperatorsA class to specify the semantics of operators in the expressionlanguage To move the operator semantics outside the parser they are specifiedClassweka.core.expressionlanguage.commonWeka
Optimization problem with only bounds constraints in multi-dimensions.Classweka.coreWeka
OptimumLiftGraphJava class for OptimumLiftGraph element declaration.Classweka.core.pmml.jaxbbindingsWeka
OptionClass to store information about an option.Classweka.coreWeka
OptionHandlerInterface to something that understands options.Interfaceweka.coreWeka
OptionHandlerJavadocGenerates Javadoc comments from the OptionHandler's options.Classweka.coreWeka
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.coreWeka
OPTYPEJava class for OPTYPE.Classweka.core.pmml.jaxbbindingsWeka
OUTLIERTREATMENTMETHODenum OUTLIERTREATMENTMETHODJava class for OUTLIER-TREATMENT-METHOD.Classweka.core.pmml.jaxbbindingsWeka
OutputJava class for Output element declaration.Classweka.core.pmml.jaxbbindingsWeka
OutputFieldJava class for OutputField element declaration.Classweka.core.pmml.jaxbbindingsWeka
OutputFormatDialogA dialog for setting various output format parameters.Classweka.gui.experimentWeka
OutputLoggerA logger that logs all output on stdout and stderr to a file.Classweka.core.loggingWeka
OutputZipperOutputZipper writes output to either gzipped files or to a multi entry zip file.Classweka.experimentWeka
PackageAbstract base class for Packages.Classweka.core.packageManagementWeka
PackageConstraintAbstract base class for package constraints.Classweka.core.packageManagementWeka
PackageManagerAbstract base class for package managers.Classweka.core.packageManagementWeka
PackageManagerA GUI interface the the package management system.Classweka.guiWeka
PairCountsJava class for PairCounts element declaration.Classweka.core.pmml.jaxbbindingsWeka
PairedCorrectedTTesterBehaves the same as PairedTTester, only it uses the corrected resampled For more information see:Classweka.experimentWeka
PairedDataHelper A helper class that Step implementations can use when processing paired data (e.Classweka.knowledgeflow.stepsWeka
PairedStatsA class for storing stats on a paired comparison (t-test and correlation)Version:$Revision: 8034 $Author:Len Trigg (trigg@cs.Classweka.experimentWeka
PairedStatsCorrectedA class for storing stats on a paired comparison.Classweka.experimentWeka
PairedTTesterCalculates T-Test statistics on data stored in a set of instances.Classweka.experimentWeka
ParallelIteratedSingleClassifierEnhancerAbstract utility class for handling settings common to meta classifiers that build an ensemble in parallel from a single base learner.Classweka.classifiersWeka
ParallelMultipleClassifiersCombinerAbstract utility class for handling settings common to meta classifiers that build an ensemble in parallel using multipleClassweka.classifiersWeka
ParameterJava class for Parameter element declaration.Classweka.core.pmml.jaxbbindingsWeka
ParameterFieldJava class for ParameterField element declaration.Classweka.core.pmml.jaxbbindingsWeka
ParameterListJava class for ParameterList element declaration.Classweka.core.pmml.jaxbbindingsWeka
ParamMatrixJava class for ParamMatrix element declaration.Classweka.core.pmml.jaxbbindingsWeka
ParentSetHelper class for Bayes Network classifiers.Classweka.classifiers.bayes.netWeka
ParserCUP v0.Classweka.core.expressionlanguage.parserWeka
ParserCUP v0.Classweka.core.jsonWeka
PART Class for generating a PART decision list.Classweka.classifiers.rulesWeka
PartitionJava class for Partition element declaration.Classweka.core.pmml.jaxbbindingsWeka
PartitionedMultiFilter A filter that applies filters on subsets of attributes and assembles the output into a new dataset.Classweka.filters.unsupervised.attributeWeka
PartitionFieldStatsJava class for PartitionFieldStats element declaration.Classweka.core.pmml.jaxbbindingsWeka
PartitionGeneratorThis interface can be implemented by algorithms that generate a partition of the instance space (e.Interfaceweka.coreWeka
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.attributeWeka
PasswordFieldProperty editor widget that wraps and displays a JPasswordField.Classweka.guiWeka
PasswordPropertyClassweka.guiWeka
PCellJava class for PCell element declaration.Classweka.core.pmml.jaxbbindingsWeka
PCovCellJava class for PCovCell element declaration.Classweka.core.pmml.jaxbbindingsWeka
PCovMatrixJava class for PCovMatrix element declaration.Classweka.core.pmml.jaxbbindingsWeka
PerformanceStatsThe class that measures the performance of a nearest neighbour search (NNS) algorithm.Classweka.core.neighboursearchWeka
PerspectiveInterface for GUI elements that can appear as a perspective in a GUIApplication.Interfaceweka.guiWeka
PerspectiveInfoClassweka.guiWeka
PerspectiveManagerManages perspectives and the main menu bar (if visible), holds the currently selected perspective, and implements the perspective button bar.Classweka.guiWeka
PKIDiscretize Discretizes numeric attributes using equal frequency binning, where the number of bins is equal to the square root ofClassweka.filters.unsupervised.attributeWeka
PlaceNode1This class will place the Nodes of a tree.Classweka.gui.treevisualizerWeka
PlaceNode2This class will place the Nodes of a tree.Classweka.gui.treevisualizerWeka
PlainText Outputs the predictions in plain text.Classweka.classifiers.evaluation.output.predictionWeka
Plot2DThis class plots datasets in two dimensions.Classweka.gui.visualizeWeka
Plot2DCompanionInterface for classes that need to draw to the Plot2D panel *before* Plot2D renders anything (eg.Interfaceweka.gui.visualizeWeka
PlotData2DThis class is a container for plottable data.Classweka.gui.visualizeWeka
PluginManagerClass that manages a global map of plugins.Classweka.coreWeka
PluginManagerClass that manages a global map of plugins.Classweka.gui.beansWeka
PMMLJava class for PMML element declaration.Classweka.core.pmml.jaxbbindingsWeka
PMMLClassifierAbstract base class for all PMML classifiers.Classweka.classifiers.pmml.consumerWeka
PMMLFactoryThis class is a factory class for reading/writing PMML modelsVersion:$Revision: 10203 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.core.pmmlWeka
PMMLModelInterface for all PMML modelsVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Interfaceweka.core.pmmlWeka
PMMLProducerInterface to something that can produce a PMML representation of itself.Interfaceweka.core.pmmlWeka
PMMLUtilsClassweka.core.pmmlWeka
PNGWriterThis class takes any JComponent and outputs it to a PNG-file.Classweka.gui.visualizeWeka
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.balltreesWeka
PoissonDistributionJava class for PoissonDistribution element declaration.Classweka.core.pmml.jaxbbindingsWeka
PoissonEstimatorSimple probability estimator that places a single Poisson distribution over the observed values.Classweka.estimatorsWeka
PolyKernel The polynomial kernel : K(x, y) = ^p or K(x, y) = (+1)^pClassweka.classifiers.functions.supportVectorWeka
PolynomialKernelTypeJava class for PolynomialKernelType element declaration.Classweka.core.pmml.jaxbbindingsWeka
PostscriptGraphicsThe PostscriptGraphics class extends the Graphics2D class to produce an encapsulated postscript file rather than on-screen display.Classweka.gui.visualizeWeka
PostscriptWriterThis class takes any Component and outputs it to a Postscript file.Classweka.gui.visualizeWeka
PotentialClassIgnorerThis filter should be extended by other unsupervised attribute filters to allow processing of the class attribute if that's required.Classweka.filters.unsupervised.attributeWeka
PPCellJava class for PPCell element declaration.Classweka.core.pmml.jaxbbindingsWeka
PPMatrixJava class for PPMatrix element declaration.Classweka.core.pmml.jaxbbindingsWeka
PrecomputedKernelMatrixKernel This kernel is based on a static kernel matrix that is read from a file.Classweka.classifiers.functions.supportVectorWeka
PreConstructedLinearModelThis class encapsulates a linear regression function.Classweka.classifiers.trees.m5Weka
PredictionEncapsulates a single evaluatable prediction: the predicted value plus the actual class value.Interfaceweka.classifiers.evaluationWeka
PredictionAppenderBean that can can accept batch or incremental classifier events and produce dataset or instance events which contain instances with predictions appended.Classweka.gui.beansWeka
PredictionAppenderStep that can produce data with predictions appended from batch or incremental classifiers and clusterersClassweka.knowledgeflow.stepsWeka
PredictionAppenderBeanInfoBean info class for PredictionAppender.Classweka.gui.beansWeka
PredictionAppenderCustomizerGUI Customizer for the prediction appender beanVersion:$Revision: 12107 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
PredictiveModelQualityJava class for PredictiveModelQuality element declaration.Classweka.core.pmml.jaxbbindingsWeka
PredictorJava class for Predictor element declaration.Classweka.core.pmml.jaxbbindingsWeka
PredictorTermJava class for PredictorTerm element declaration.Classweka.core.pmml.jaxbbindingsWeka
PreprocessPanelThis panel controls simple preprocessing of instances.Classweka.gui.explorerWeka
PrimitivesA class providing AST (abstract syntax tree) nodes to support primitive types.Classweka.core.expressionlanguage.commonWeka
PrincipalComponents Performs a principal components analysis and transformation of the data.Classweka.attributeSelectionWeka
PrincipalComponents Performs a principal components analysis and transformation of the data.Classweka.filters.unsupervised.attributeWeka
PrintableComponentThis class extends the component which is handed over in the constructor by a print dialog.Classweka.gui.visualizeWeka
PrintableHandlerThis interface is for all JComponent classes that provide the ability to print itself to a file.Interfaceweka.gui.visualizeWeka
PrintablePanelThis Panel enables the user to print the panel to various file formats.Classweka.gui.visualizeWeka
ProgrammaticPropertyClassweka.guiWeka
PropertyDialogSupport for PropertyEditors with custom editors: puts the editor intoVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs.Classweka.guiWeka
PropertyHandlerThis class stores information about properties to ignore or properties that are allowed for a certain class.Classweka.core.xmlWeka
PropertyNodeStores information on a property of an object: the class of the object with the property; the property descriptor, and the current value.Classweka.experimentWeka
PropertyPanelSupport for drawing a property value in a component.Classweka.guiWeka
PropertyPathA helper class for accessing properties in nested objects, e.Classweka.coreWeka
PropertySelectorDialogAllows the user to select any (supported) property of an object, including properties that any of it's property values may have.Classweka.guiWeka
PropertySheetPanelDisplays a property sheet where (supported) properties of the target objectVersion:$Revision: 12016 $Author:Len Trigg (trigg@cs.Classweka.guiWeka
ProtectedPropertiesSimple class that extends the Properties class so that the properties are unable to be modified.Classweka.coreWeka
PruneableClassifierTreeClass for handling a tree structure that can be pruned using a pruning set.Classweka.classifiers.trees.j48Weka
PruneableDecListClass for handling a partial tree structure that can be pruned using aVersion:$Revision: 10153 $Author:Eibe Frank (eibe@cs.Classweka.classifiers.rules.partWeka
Puk The Pearson VII function-based universal kernel.Classweka.classifiers.functions.supportVectorWeka
QRDecomposition For an m-by-n matrix A with m >= n, the QR decomposition is an m-by-n orthogonal matrix Q and an n-by-n upper triangular matrix R so that A = Q*R.Classweka.core.matrixWeka
QuantileJava class for Quantile element declaration.Classweka.core.pmml.jaxbbindingsWeka
QueryExecuteEventAn event that is generated when a query is executed.Classweka.gui.sql.eventWeka
QueryExecuteListenerA listener for executing queries.Interfaceweka.gui.sql.eventWeka
QueryPanelRepresents a panel for entering an SQL query.Classweka.gui.sqlWeka
QueueClass representing a FIFO queue.Classweka.coreWeka
RadialBasisKernelTypeJava class for RadialBasisKernelType element declaration.Classweka.core.pmml.jaxbbindingsWeka
Rainbow Stopwords list based on Rainbow: http://www.Classweka.core.stopwordsWeka
RandomCommittee Class for building an ensemble of randomizable base classifiers.Classweka.classifiers.metaWeka
RandomForest Class for constructing a forest of random trees.Classweka.classifiers.treesWeka
RandomizableInterface to something that has random behaviour that is able to be seeded with an integer.Interfaceweka.coreWeka
RandomizableClassifierAbstract utility class for handling settings common to randomizableVersion:$Revision: 10141 $Author:Eibe Frank (eibe@cs.Classweka.classifiersWeka
RandomizableClustererAbstract utility class for handling settings common to randomizableVersion:$Revision: 10601 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized FormClassweka.clusterersWeka
RandomizableDensityBasedClustererAbstract utility class for handling settings common to randomizableVersion:$Revision: 10203 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized FormClassweka.clusterersWeka
RandomizableFilteredClassifier Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.Classweka.classifiers.metaWeka
RandomizableIteratedSingleClassifierEnhancerAbstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.Classweka.classifiersWeka
RandomizableMultipleClassifiersCombinerAbstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from multiple classifiers basedClassweka.classifiersWeka
RandomizableParallelIteratedSingleClassifierEnhancerAbstract utility class for handling settings common to randomizable meta classifiers that build an ensemble in parallel from a single baseClassweka.classifiersWeka
RandomizableParallelMultipleClassifiersCombinerAbstract utility class for handling settings common to meta classifiers that build an ensemble in parallel using multipleClassweka.classifiersWeka
RandomizableSingleClassifierEnhancerAbstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.Classweka.classifiersWeka
RandomizableSingleClustererEnhancerAbstract utility class for handling settings common to randomizableVersion:$Revision: 10203 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized FormClassweka.clusterersWeka
Randomize Randomly shuffles the order of instances passed through it.Classweka.filters.unsupervised.instanceWeka
RandomLiftGraphJava class for RandomLiftGraph element declaration.Classweka.core.pmml.jaxbbindingsWeka
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.attributeWeka
RandomRBF RandomRBF data is generated by first creating a random set of centers for each class.Classweka.datagenerators.classifiers.classificationWeka
RandomSplitResultProducer Generates a single train/test split and calls the appropriate SplitEvaluator to generate some results.Classweka.experimentWeka
RandomSubset Chooses a random subset of attributes, either an absolute number or a percentage.Classweka.filters.unsupervised.attributeWeka
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.metaWeka
RandomTree Class for constructing a tree that considers K randomly chosen attributes at each node.Classweka.classifiers.treesWeka
RandomVariatesClass implementing some simple random variates generator.Classweka.coreWeka
RangeClass representing a range of cardinal numbers.Classweka.coreWeka
RankedOutputSearchInterface for search methods capable of producing a ranked list of attributes.Interfaceweka.attributeSelectionWeka
Ranker Ranks attributes by their individual evaluations.Classweka.attributeSelectionWeka
RBFKernel The RBF kernel.Classweka.classifiers.functions.supportVectorWeka
RDG1 A data generator that produces data randomly by producing a decision list.Classweka.datagenerators.classifiers.classificationWeka
ReaderToTextPaneA class that sends all lines from a reader to a JTextPane component.Classweka.guiWeka
REALSparseArrayJava class for REAL-SparseArray element declaration.Classweka.core.pmml.jaxbbindingsWeka
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.stopwordsWeka
RegOptimizerBase class implementation for learning algorithm of SMOreg Valid options are:Classweka.classifiers.functions.supportVectorWeka
RegressionClass implementing import of PMML Regression model.Classweka.classifiers.pmml.consumerWeka
RegressionJava class for Regression element declaration.Classweka.core.pmml.jaxbbindingsWeka
RegressionAnalysisAnalyzes linear regression model by using the Student's t-test on each coefficient.Classweka.classifiers.evaluationWeka
RegressionByDiscretization A regression scheme that employs any classifier on a copy of the data that has the class attribute (equal-width) discretized.Classweka.classifiers.metaWeka
RegressionGeneratorAbstract class for data generators for regression classifiers.Classweka.datageneratorsWeka
RegressionModelJava class for RegressionModel element declaration.Classweka.core.pmml.jaxbbindingsWeka
REGRESSIONNORMALIZATIONMETHODenum REGRESSIONNORMALIZATIONMETHODJava class for REGRESSIONNORMALIZATIONMETHOD.Classweka.core.pmml.jaxbbindingsWeka
RegressionSplitEvaluator A SplitEvaluator that produces results for a classification scheme on a numeric class attribute.Classweka.experimentWeka
RegressionTableJava class for RegressionTable element declaration.Classweka.core.pmml.jaxbbindingsWeka
RegSMO Implementation of SMO for support vector regression A.Classweka.classifiers.functions.supportVectorWeka
RegSMOImproved Learn SVM for regression using SMO with Shevade, Keerthi, et al.Classweka.classifiers.functions.supportVectorWeka
RelationalAttributeInfoStores information for relational attributes.Classweka.coreWeka
RelationalLocatorThis class locates and records the indices of relational attributes,Version:$Revision: 12038 $Author:fracpete (fracpete at waikato dot ac dot nz)See Also:Attribute.Classweka.coreWeka
ReliefFAttributeEval ReliefFAttributeEval : Evaluates the worth of an attribute by repeatedly sampling an instance andClassweka.attributeSelectionWeka
RemoteBoundaryVisualizerSubTaskClass that encapsulates a sub task for distributed boundary visualization.Classweka.gui.boundaryvisualizerWeka
RemoteEngineA general purpose server for executing Task objects sent via RMI.Classweka.experimentWeka
RemoteExperimentHolds all the necessary configuration information for a distributed experiment.Classweka.experimentWeka
RemoteExperimentEventClass encapsulating information on progress of a remote experimentVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.Classweka.experimentWeka
RemoteExperimentListenerInterface for classes that want to listen for updates on RemoteExperimentVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.Interfaceweka.experimentWeka
RemoteExperimentSubTaskClass to encapsulate an experiment as a task that can be executed on a remoteVersion:$Revision: 10204 $Author:Mark Hall (mhall@cs.Classweka.experimentWeka
RemoteResultClass that encapsulates a result (and progress info) for part of a distributed boundary visualization.Classweka.gui.boundaryvisualizerWeka
Remove An filter that removes a range of attributes from the dataset.Classweka.filters.unsupervised.attributeWeka
RemoveByName Removes attributes based on a regular expression matched against their names.Classweka.filters.unsupervised.attributeWeka
RemoveDuplicates Removes all duplicate instances from the first batch of data it receives.Classweka.filters.unsupervised.instanceWeka
RemoveFolds This filter takes a dataset and outputs a specified fold for cross validation.Classweka.filters.unsupervised.instanceWeka
RemoveFrequentValues Determines which values (frequent or infrequent ones) of an (nominal) attribute are retained and filters the instancesClassweka.filters.unsupervised.instanceWeka
RemoveMisclassified A filter that removes instances which are incorrectly classified.Classweka.filters.unsupervised.instanceWeka
RemovePercentage A filter that removes a given percentage of a Valid options are:Classweka.filters.unsupervised.instanceWeka
RemoveRange A filter that removes a given range of instances of Valid options are:Classweka.filters.unsupervised.instanceWeka
RemoveType Removes attributes of a given type.Classweka.filters.unsupervised.attributeWeka
RemoveUseless This filter removes attributes that do not vary at all or that vary too much.Classweka.filters.unsupervised.attributeWeka
RemoveWithValues Filters instances according to the value of an Valid options are:Classweka.filters.unsupervised.instanceWeka
RenameAttribute This filter is used for renaming attribute names.Classweka.filters.unsupervised.attributeWeka
RenameNominalValues Renames the values of nominal attributes.Classweka.filters.unsupervised.attributeWeka
Reorder A filter that generates output with a new order of the attributes.Classweka.filters.unsupervised.attributeWeka
RepeatedHillClimber This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure andClassweka.classifiers.bayes.net.search.globalWeka
RepeatedHillClimber This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure andClassweka.classifiers.bayes.net.search.localWeka
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.attributeWeka
ReplaceMissingWithUserConstant Replaces all missing values for nominal, string, numeric and date attributes in the dataset with user-supplied constantClassweka.filters.unsupervised.attributeWeka
ReplaceWithMissingValue A filter that can be used to introduce missing values in a dataset.Classweka.filters.unsupervised.attributeWeka
RepositoryIndexGeneratorClass for generating html index files and supporting text files for a Weka package meta data repository.Classweka.coreWeka
REPTree Fast decision tree learner.Classweka.classifiers.treesWeka
Resample Produces a random subsample of a dataset using either sampling with replacement or without replacement.Classweka.filters.supervised.instanceWeka
Resample Produces a random subsample of a dataset using either sampling with replacement or without replacement.Classweka.filters.unsupervised.instanceWeka
ResampleUtilsHelper class for resampling.Classweka.coreWeka
ReservoirSample Produces a random subsample of a dataset using the reservoir sampling Algorithm "R" by Vitter.Classweka.filters.unsupervised.instanceWeka
ResidualModelSelectionHelper class for logistic model trees (weka.Classweka.classifiers.trees.lmtWeka
ResidualSplitHelper class for logistic model trees (weka.Classweka.classifiers.trees.lmtWeka
ResultChangedEventAn event that is generated when a different Result is activated in theVersion:$Revision: 8034 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:ResultChangedListener, Classweka.gui.sql.eventWeka
ResultChangedListenerA listener that is notified if another Result is activated in theVersion:$Revision: 8034 $Author:FracPete (fracpete at waikato dot ac dot nz)Interfaceweka.gui.sql.eventWeka
RESULTFEATUREJava class for RESULT-FEATURE.Classweka.core.pmml.jaxbbindingsWeka
ResultFieldJava class for ResultField element declaration.Classweka.core.pmml.jaxbbindingsWeka
ResultHistoryPanelA component that accepts named stringbuffers and displays the name in a list box.Classweka.guiWeka
ResultListenerInterface for objects able to listen for results obtained by a ResultProducerInterfaceweka.experimentWeka
ResultMatrixThis matrix is a container for the datasets and classifier setups and their statistics.Classweka.experimentWeka
ResultMatrixCSV Generates the matrix in CSV ('comma-separated values') format.Classweka.experimentWeka
ResultMatrixGnuPlot Generates output for a data and script file for GnuPlot.Classweka.experimentWeka
ResultMatrixHTML Generates the matrix output as HTML.Classweka.experimentWeka
ResultMatrixLatex Generates the matrix output in LaTeX-syntax.Classweka.experimentWeka
ResultMatrixPlainText Generates the output as plain text (for fixed width Valid options are:Classweka.experimentWeka
ResultMatrixSignificance Only outputs the significance indicators.Classweka.experimentWeka
ResultPanelRepresents a panel for displaying the results of a query in table format.Classweka.gui.sqlWeka
ResultProducerThis interface defines the methods required for an object that produces results for different randomizations of a dataset.Interfaceweka.experimentWeka
ResultSetHelperRepresents an extended JTable, containing a table model based on a ResultSet and the corresponding query.Classweka.gui.sqlWeka
ResultSetTableRepresents an extended JTable, containing a table model based on a ResultSet and the corresponding query.Classweka.gui.sqlWeka
ResultSetTableCellRendererHandles the background colors for missing values differently than the DefaultTableCellRenderer.Classweka.gui.sqlWeka
ResultSetTableModelThe model for an SQL ResultSet.Classweka.gui.sqlWeka
ResultsPanelThis panel controls simple analysis of experimental results.Classweka.gui.experimentWeka
RevisionHandlerFor classes that should return their source control revision.Interfaceweka.coreWeka
RevisionUtilsContains utility functions for handling revisions.Classweka.coreWeka
ROCJava class for ROC element declaration.Classweka.core.pmml.jaxbbindingsWeka
ROCGraphJava class for ROCGraph element declaration.Classweka.core.pmml.jaxbbindingsWeka
RowJava class for row element declaration.Classweka.core.pmml.jaxbbindingsWeka
RuleAbstract class of generic ruleVersion:$Revision: 8034 $Author:Xin Xu (xx5@cs.Classweka.classifiers.rulesWeka
RuleGenerates a single m5 tree or ruleVersion:$Revision: 10169 $Author:Mark HallSee Also:Serialized FormClassweka.classifiers.trees.m5Weka
RULEFEATUREJava class for RULE-FEATURE.Classweka.core.pmml.jaxbbindingsWeka
RuleNodeConstructs a node for use in an m5 tree or ruleVersion:$Revision: 10283 $Author:Mark Hall (mhall@cs.Classweka.classifiers.trees.m5Weka
RuleSelectionMethodJava class for RuleSelectionMethod element declaration.Classweka.core.pmml.jaxbbindingsWeka
RuleSetJava class for RuleSet element declaration.Classweka.core.pmml.jaxbbindingsWeka
RuleSetModelClass implementing import of PMML RuleSetModel.Classweka.classifiers.pmml.consumerWeka
RuleSetModelJava class for RuleSetModel element declaration.Classweka.core.pmml.jaxbbindingsWeka
RuleStatsThis class implements the statistics functions used in the propositional rule learner, from the simpler ones like count of true/false positive/negatives,Classweka.classifiers.rulesWeka
RunHelper class that executes Weka schemes from the command line.ClasswekaWeka
RunNumberPanelThis panel controls configuration of lower and upper run numbersVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs.Classweka.gui.experimentWeka
RunPanelThis panel controls the running of an experiment.Classweka.gui.experimentWeka
SaveBufferThis class handles the saving of StringBuffers to files.Classweka.guiWeka
SaverInterface to something that can save Instances to an output destination in someVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.Interfaceweka.core.convertersWeka
SaverSaves data sets using weka.Classweka.gui.beansWeka
SaverStep that wraps weka.Classweka.knowledgeflow.stepsWeka
SaverBeanInfoBean info class for the saver beanVersion:$Revision: 8034 $Author:Stefan MutterClassweka.gui.beansWeka
SaverCustomizerGUI Customizer for the saver beanVersion:$Revision: 8034 $Author:Stefan MutterSee Also:Serialized FormClassweka.gui.beansWeka
SaverStepEditorDialogEditor dialog for the saver stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
ScannerA lexical scanner for an expression language.Classweka.core.expressionlanguage.parserWeka
ScannerA scanner for JSON data files.Classweka.core.jsonWeka
ScatterPlotMatrixBean that encapsulates weka.Classweka.gui.beansWeka
ScatterPlotMatrixStep that collects data for display in a scatter plot matrix.Classweka.knowledgeflow.stepsWeka
ScatterPlotMatrixBeanInfoBean info class for the scatter plot matrix beanVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWeka
ScatterPlotMatrixInteractiveViewInteractive viewer for the ScatterPlotMatrix stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
ScatterPlotMatrixPerspectiveKnowledge Flow perspective for the scatter plot matrixVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflowWeka
ScoreableInterface for allowing to score a classifierVersion:$Revision: 8034 $Author:Remco Bouckaert (rrb@xm.Interfaceweka.classifiers.bayes.net.search.localWeka
ScorecardJava class for Scorecard element declaration.Classweka.core.pmml.jaxbbindingsWeka
ScoreDistributionJava class for ScoreDistribution element declaration.Classweka.core.pmml.jaxbbindingsWeka
ScriptExecutionEventEvent that gets sent when a script is executed.Classweka.gui.scripting.eventWeka
ScriptExecutionListenerFor classes that want to be notified about changes in the script execution.Interfaceweka.gui.scripting.eventWeka
ScriptingPanelAbstract ancestor for scripting panels.Classweka.gui.scriptingWeka
ScriptUtilsA helper class for Script related stuff.Classweka.gui.scriptingWeka
SearchAlgorithmThis is the base class for all search algorithms for learning Bayes networks.Classweka.classifiers.bayes.net.searchWeka
SeasonalityExpoSmoothJava class for Seasonality_ExpoSmooth element declaration.Classweka.core.pmml.jaxbbindingsWeka
SegmentJava class for Segment element declaration.Classweka.core.pmml.jaxbbindingsWeka
SegmentationJava class for Segmentation element declaration.Classweka.core.pmml.jaxbbindingsWeka
SelectedTagRepresents a selected value from a finite set of values, where each value is a Tag (i.Classweka.coreWeka
SelectedTagEditorA PropertyEditor that uses tags, where the tags are obtained from a weka.Classweka.guiWeka
SemanticExceptionAn exception that should be used if a program doesn't have valid semanticsVersion:$Revision: 1000 $Author:Benjamin Weber ( benweber at student dot ethz dot ch )See Also:Serialized FormClassweka.core.expressionlanguage.coreWeka
SequenceJava class for Sequence element declaration.Classweka.core.pmml.jaxbbindingsWeka
SequenceModelJava class for SequenceModel element declaration.Classweka.core.pmml.jaxbbindingsWeka
SequenceReferenceJava class for SequenceReference element declaration.Classweka.core.pmml.jaxbbindingsWeka
SequenceRuleJava class for SequenceRule element declaration.Classweka.core.pmml.jaxbbindingsWeka
SerialInstanceListenerDefines an interface for objects able to produce two output streams ofVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs.Interfaceweka.gui.streamsWeka
SerializationHelperA helper class for determining serialVersionUIDs and checking whether classes contain one and/or need one.Classweka.coreWeka
SerializedClassifier A wrapper around a serialized classifier model.Classweka.classifiers.miscWeka
SerializedInstancesLoader Reads a source that contains serialized Instances.Classweka.core.convertersWeka
SerializedInstancesSaver Serializes the instances to a file with extension bsi.Classweka.core.convertersWeka
SerializedModelSaverA bean that saves serialized modelsVersion:$Revision: 11077 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}orgSee Also:Serialized FormClassweka.gui.beansWeka
SerializedModelSaverStep that can save models encapsulated in incoming Data objects toVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWeka
SerializedModelSaverBeanInfoBean info class for the serialized model saver beanVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}orgClassweka.gui.beansWeka
SerializedModelSaverCustomizerGUI Customizer for the SerializedModelSaver beanVersion:$Revision: 11076 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}orgSee Also:Serialized FormClassweka.gui.beansWeka
SerializedObjectClass for storing an object in serialized form in memory.Classweka.coreWeka
SerialUIDChangerThis class enables one to change the UID of a serialized object and therefore not losing the data stored in the binary format.Classweka.core.xmlWeka
SetInstancesPanelA panel that displays an instance summary for a set of instances and lets the user open a set of instances from either a file or URL.Classweka.guiWeka
SetPredicateJava class for SetPredicate element declaration.Classweka.core.pmml.jaxbbindingsWeka
SetReferenceJava class for SetReference element declaration.Classweka.core.pmml.jaxbbindingsWeka
SettingsMaintains a collection of settings.Classweka.coreWeka
SettingsEditorProvides a panel for editing application and perspective settingsVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.guiWeka
SetupModePanelThis panel switches between simple and advanced experiment setup panels.Classweka.gui.experimentWeka
SetupPanelThis panel controls the configuration of an experiment.Classweka.gui.experimentWeka
SetVariablesStep that can be used to set the values of environment variables for the flow being executed.Classweka.knowledgeflow.stepsWeka
SetVariablesStepEditorDialogEditor dialog for the SetVariables stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
SGD Implements stochastic gradient descent for learning various linear models (binary class SVM, binary class logistic regression, squared loss, Huber loss and epsilon-insensitive loss linear regression).Classweka.classifiers.functionsWeka
SGDText Implements stochastic gradient descent for learning a linear binary class SVM or binary class logistic regression on text data.Classweka.classifiers.functionsWeka
ShadowBorderClassweka.gui.beansWeka
ShadowBorderBorder implementation that provides a drop shadowVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflowWeka
SigmoidKernelTypeJava class for SigmoidKernelType element declaration.Classweka.core.pmml.jaxbbindingsWeka
SigmoidUnitThis can be used by the neuralnode to perform all it's computations (as a sigmoid unit).Classweka.classifiers.functions.neuralWeka
SimpleBatchFilterThis filter is a superclass for simple batch filters.Classweka.filtersWeka
SimpleCLICreates a very simple command line for invoking the main method of classes.Classweka.guiWeka
SimpleCLIPanelCreates a very simple command line for invoking the main method of classes.Classweka.guiWeka
SimpleDateFormatEditorClass for editing SimpleDateFormat strings.Classweka.guiWeka
SimpleEstimator SimpleEstimator is used for estimating the conditional probability tables of a Bayes network once the structure has beenClassweka.classifiers.bayes.net.estimateWeka
SimpleFilterThis filter contains common behavior of the SimpleBatchFilter and the SimpleStreamFilter.Classweka.filtersWeka
SimpleKMeans Cluster data using the k means algorithm.Classweka.clusterersWeka
SimpleLinearRegression Learns a simple linear regression model.Classweka.classifiers.functionsWeka
SimpleLinearRegressionStripped down version of SimpleLinearRegression.Classweka.classifiers.trees.lmtWeka
SimpleLogistic Classifier for building linear logistic regression models.Classweka.classifiers.functionsWeka
SimpleMatchingJava class for simpleMatching element declaration.Classweka.core.pmml.jaxbbindingsWeka
SimplePredicateJava class for SimplePredicate element declaration.Classweka.core.pmml.jaxbbindingsWeka
SimpleRuleJava class for SimpleRule element declaration.Classweka.core.pmml.jaxbbindingsWeka
SimpleSetPredicateJava class for SimpleSetPredicate element declaration.Classweka.core.pmml.jaxbbindingsWeka
SimpleSetupPanelThis panel controls the configuration of an experiment.Classweka.gui.experimentWeka
SimpleStreamFilterThis filter is a superclass for simple stream filters.Classweka.filtersWeka
SimpleVariableDeclarationsA set of customizable variable declarations for primitive types.Classweka.core.expressionlanguage.commonWeka
SimulatedAnnealing This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoringClassweka.classifiers.bayes.net.search.globalWeka
SimulatedAnnealing This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoringClassweka.classifiers.bayes.net.search.localWeka
SingleAssociatorEnhancerAbstract utility class for handling settings common to meta associators that use a single base associator.Classweka.associationsWeka
SingleClassifierEnhancerAbstract utility class for handling settings common to meta classifiers that use a single base learner.Classweka.classifiersWeka
SingleClustererEnhancerMeta-clusterer for enhancing a base clusterer.Classweka.clusterersWeka
SingleIndexClass representing a single cardinal number.Classweka.coreWeka
SingularValueDecompositionSingular Value Decomposition.Classweka.core.matrixWeka
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.kdtreesWeka
SMO Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier.Classweka.classifiers.functionsWeka
SMOreg SMOreg implements the support vector machine for regression.Classweka.classifiers.functionsWeka
SMOsetStores a set of integer of a given size.Classweka.classifiers.functions.supportVectorWeka
SnowballStemmer A wrapper class for the Snowball stemmers.Classweka.core.stemmersWeka
SortedTableModelRepresents a TableModel with sorting functionality.Classweka.guiWeka
Sorter Sorts incoming instances in ascending or descending order according to the values of user specified attributes.Classweka.gui.beansWeka
SorterStep for sorting instances according to one or more attributes.Classweka.knowledgeflow.stepsWeka
SorterBeanInfoBeanInfo class for the Sorter stepVersion:$Revision: 8051 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.beansWeka
SorterCustomizerCustomizer for the Sorter stepVersion:$Revision: 8051 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.beansWeka
SorterStepEditorDialogStep editor dialog for the Sorter stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
SortLabels A simple filter for sorting the labels of nominal Valid options are:Classweka.filters.unsupervised.attributeWeka
SourcableInterface for classifiers that can be converted to Java source.Interfaceweka.classifiersWeka
SourcableInterface for filters that can be converted to Java source.Interfaceweka.filtersWeka
SparseArrayClassweka.core.pmmlWeka
SparseInstanceClass for storing an instance as a sparse vector.Classweka.coreWeka
SparseToNonSparse An instance filter that converts all incoming sparse instances into non-sparse format.Classweka.filters.unsupervised.instanceWeka
SpecialFunctionsClass implementing some mathematical functions.Classweka.coreWeka
SplashWindow Usage: MyApplication is your application class.Classweka.guiWeka
SplitBase class for different split typesVersion:$Revision: 10531 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
SplitCandidateEncapsulates a candidate splitVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
SplitCriterionAbstract class for computing splitting criteria with respect to distributions of class values.Classweka.classifiers.trees.j48Weka
SplitEvaluateInterface for objects that determine a split point on an attributeVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.Interfaceweka.classifiers.trees.m5Weka
SplitEvaluatorInterface to objects able to generate a fixed set of results for a particular split of a dataset.Interfaceweka.experimentWeka
SplitMetricBase class for split metricsVersion:$Revision: 9720 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
SplitNodeClass for a node that splits the data in a Hoeffding treeVersion:$Revision: 10169 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
SpreadSubsample Produces a random subsample of a dataset.Classweka.filters.supervised.instanceWeka
SqlViewerRepresents a little tool for querying SQL databases.Classweka.gui.sqlWeka
SqlViewerDialogA little dialog containing the SqlViewer.Classweka.gui.sqlWeka
SQLViewerPerspectiveSimple Knowledge Flow perspective that wraps the SqlViewer classVersion:$Revision: 11286 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.beansWeka
SQLViewerPerspectivePerspective that wraps the {@code SQLViewer) componentVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflowWeka
SquaredEuclideanJava class for squaredEuclidean element declaration.Classweka.core.pmml.jaxbbindingsWeka
StackClass implementing a stack.Classweka.core.neighboursearch.covertreesWeka
Stacking Combines several classifiers using the stacking method.Classweka.classifiers.metaWeka
StandardEvaluationMetricPrimarily a marker interface for a "standard" evaluation metric - i.Interfaceweka.classifiers.evaluationWeka
Standardize Standardizes all numeric attributes in the given dataset to have zero mean and unit variance (apart from the class attribute, if set).Classweka.filters.unsupervised.attributeWeka
StartableInterface to something that is a start point for a flow and can be launched programatically.Interfaceweka.gui.beansWeka
StartSetHandlerInterface for search methods capable of doing something sensible given a starting set of attributes.Interfaceweka.attributeSelectionWeka
StartUpListenerInterface to something that can be notified of a successful startupVersion:$Revision: 8034 $Author:Mark HallInterfaceweka.gui.beansWeka
StatisticsClass implementing some distributions, tests, etc.Classweka.coreWeka
StatsClass implementing a statistical routine needed by J48 to compute its error estimate.Classweka.classifiers.trees.j48Weka
StatsA class to store simple statistics.Classweka.experimentWeka
StatsHelperA helper class to expose a Stats object to a program Exposes the following variables that correspond to Stats' fields:Classweka.core.expressionlanguage.wekaWeka
StemmerInterface for all stemming algorithms.Interfaceweka.core.stemmersWeka
StemmingA helper class for using the stemmers.Classweka.core.stemmersWeka
StepClient API for Knowledge Flow steps.Interfaceweka.knowledgeflow.stepsWeka
StepEditorDialogBase class for step editor dialogs.Classweka.gui.knowledgeflowWeka
StepInjectorFlowRunnerA flow runner that runs a flow by injecting data into a target stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.knowledgeflowWeka
StepInteractiveViewerInterface for GUI interactive viewer components that can be popped up from the contextual menu in the Knowledge Flow that appears when you right-clickInterfaceweka.gui.knowledgeflowWeka
StepManagerClient public interface for the StepManager.Interfaceweka.knowledgeflowWeka
StepManagerImplConcrete implementation of the StepManager interface.Classweka.knowledgeflowWeka
StepOutputListenerInteface to something that listens to the output from a StepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Interfaceweka.knowledgeflowWeka
StepTaskA task that can be executed by the ExecutionEnvironment's submitTask() service.Classweka.knowledgeflowWeka
StepTaskCallbackCallback that Steps can use when executing StepTasks via EnvironmentManager.Interfaceweka.knowledgeflowWeka
StepTreeSubclass of JTree for displaying available steps.Classweka.gui.knowledgeflowWeka
StepTreeIgnoreClassweka.gui.knowledgeflowWeka
StepTreeLeafDetailsMaintains information about a step in the StepTree - e.Classweka.gui.knowledgeflowWeka
StepVisualClass for managing the appearance of a step in the GUI Knowledge FlowVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflowWeka
StopwordsClass that can test whether a given string is a stop word.Classweka.coreWeka
StopwordsHandlerInterface for classes that support stopword handling.Interfaceweka.core.stopwordsWeka
StratifiedRemoveFolds This filter takes a dataset and outputs a specified fold for cross validation.Classweka.filters.supervised.instanceWeka
StreamableFilterInterfaceweka.filtersWeka
StreamThroughputClass for measuring throughput of an incremental Knowledge Flow step.Classweka.gui.beansWeka
StreamTokenizerUtilsHelper class for using stream tokenizersVersion:$Revision: 9284 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.core.convertersWeka
StringLocatorThis class locates and records the indices of String attributes, recursively in case of Relational attributes.Classweka.coreWeka
StringToNominal Converts a range of string attributes (unspecified number of values) to nominal (set number of values).Classweka.filters.unsupervised.attributeWeka
StringToWordVector Converts String attributes into a set of attributes representing word occurrence (depending on the tokenizer) information from the text contained in the strings.Classweka.filters.unsupervised.attributeWeka
StripChartBean that can display a horizontally scrolling strip chart.Classweka.gui.beansWeka
StripChartA step that can display a viewer showing a right-to-left scrolling chartVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWeka
StripChartBeanInfoBean info class for the strip chart beanVersion:$Revision: 12008 $Author:Mark HallClassweka.gui.beansWeka
StripChartCustomizerGUI Customizer for the strip chart beanVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
StripChartInteractiveViewClassweka.gui.knowledgeflow.stepsWeka
StructureProducerInterface for something that can describe the structure of what is encapsulated in a named event type as an empty set ofInterfaceweka.gui.beansWeka
SubsetByExpression Filters instances according to a user-specified expression.Classweka.filters.unsupervised.instanceWeka
SubsetEvaluatorInterface for attribute subset evaluators.Interfaceweka.attributeSelectionWeka
SubspaceCluster A data generator that produces data points in hyperrectangular subspace clusters.Classweka.datagenerators.clusterersWeka
SubspaceClusterDefinition A single cluster for the SubspaceCluster Valid options are:Classweka.datagenerators.clusterersWeka
SubstringLabelerA bean that finds matches in string attribute values (using either substring or regular expression matches) and labels the instance (sets the value of aClassweka.gui.beansWeka
SubstringLabelerStep that appends a label to incoming instances according to substring matches in string attributes.Classweka.knowledgeflow.stepsWeka
SubstringLabelerBeanInfoBean info class for the substring labeler beanVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.beansWeka
SubstringLabelerCustomizerCustomizer class for the Substring labeler stepVersion:$Revision: 10383 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.beansWeka
SubstringLabelerRulesManages a list of match rules for labeling strings.Classweka.gui.beansWeka
SubstringLabelerStepEditorDialogStep editor dialog for the SubstringLabeler stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
SubstringReplacerA bean that can replace substrings in the values of string attributes.Classweka.gui.beansWeka
SubstringReplacerA step that can replace sub-strings in the values of string attributes.Classweka.knowledgeflow.stepsWeka
SubstringReplacerBeanInfoBean info class for the substring replacerVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.beansWeka
SubstringReplacerCustomizerCustomizer for the SubstringReplacerVersion:$Revision: 10383 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.beansWeka
SubstringReplacerRulesManages a list of match and replace rules for replacing values in stringVersion:$Revision: 11968 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.beansWeka
SubstringReplacerStepEditorDialogStep editor dialog for the SubstringReplacer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
SummarizableInterface to something that provides a short textual summary (as opposed to toString() which is usually a fairly complete description) of itself.Interfaceweka.coreWeka
SupervisedFilterInterfaceweka.filtersWeka
SupportVectorJava class for SupportVector element declaration.Classweka.core.pmml.jaxbbindingsWeka
SupportVectorMachineJava class for SupportVectorMachine element declaration.Classweka.core.pmml.jaxbbindingsWeka
SupportVectorMachineModelClassweka.classifiers.pmml.consumerWeka
SupportVectorMachineModelJava class for SupportVectorMachineModel element declaration.Classweka.core.pmml.jaxbbindingsWeka
SupportVectorsJava class for SupportVectors element declaration.Classweka.core.pmml.jaxbbindingsWeka
SVMCLASSIFICATIONMETHODenum SVMCLASSIFICATIONMETHODJava class for SVM-CLASSIFICATION-METHOD.Classweka.core.pmml.jaxbbindingsWeka
SVMLightLoader Reads a source that is in svm light format.Classweka.core.convertersWeka
SVMLightSaver Writes to a destination that is in svm light For more information about svm light see:Classweka.core.convertersWeka
SVMREPRESENTATIONenum SVMREPRESENTATIONJava class for SVM-REPRESENTATION.Classweka.core.pmml.jaxbbindingsWeka
SwapValues Swaps two values of a nominal attribute.Classweka.filters.unsupervised.attributeWeka
symCUP generated interface containing symbol constants.Interfaceweka.core.expressionlanguage.parserWeka
symCUP generated interface containing symbol constants.Interfaceweka.core.jsonWeka
SymmetricalUncertAttributeEval SymmetricalUncertAttributeEval : Evaluates the worth of an attribute by measuring the symmetrical uncertaintyClassweka.attributeSelectionWeka
SyntaxDocumentHighlights syntax in a DefaultStyledDocument.Classweka.gui.scriptingWeka
SyntaxExceptionAn exception to represent an invalid syntax of a programVersion:$Revision: 1000 $Author:Benjamin Weber ( benweber at student dot ethz dot ch )See Also:Serialized FormClassweka.core.expressionlanguage.coreWeka
SysErrLogThis Logger just sends messages to System.Classweka.guiWeka
SystemInfoThis class prints some information about the system setup, like Java version, JVM settings etc.Classweka.coreWeka
TableLocatorJava class for TableLocator element declaration.Classweka.core.pmml.jaxbbindingsWeka
TabuSearch This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.Classweka.classifiers.bayes.net.search.globalWeka
TabuSearch This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.Classweka.classifiers.bayes.net.search.localWeka
TagA Tag simply associates a numeric ID with a String description.Classweka.coreWeka
TAN This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmentedClassweka.classifiers.bayes.net.search.globalWeka
TAN This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmentedClassweka.classifiers.bayes.net.search.localWeka
TanimotoJava class for tanimoto element declaration.Classweka.core.pmml.jaxbbindingsWeka
TargetJava class for Target element declaration.Classweka.core.pmml.jaxbbindingsWeka
TargetMetaInfoClass to encapsulate information about a Target.Classweka.core.pmmlWeka
TargetsJava class for Targets element declaration.Classweka.core.pmml.jaxbbindingsWeka
TargetValueJava class for TargetValue element declaration.Classweka.core.pmml.jaxbbindingsWeka
TargetValueCountJava class for TargetValueCount element declaration.Classweka.core.pmml.jaxbbindingsWeka
TargetValueCountsJava class for TargetValueCounts element declaration.Classweka.core.pmml.jaxbbindingsWeka
TaskInterface to something that can be remotely executed as a task.Interfaceweka.experimentWeka
TaskLoggerInterface for objects that display log and display information onVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs.Interfaceweka.guiWeka
TaskStatusInfoA class holding information for tasks being executed on RemoteEngines.Classweka.experimentWeka
TaxonomyJava class for Taxonomy element declaration.Classweka.core.pmml.jaxbbindingsWeka
TechnicalInformationUsed for paper references in the Javadoc and for BibTex generation.Classweka.coreWeka
TechnicalInformationHandlerFor classes that are based on some kind of publications.Interfaceweka.coreWeka
TechnicalInformationHandlerJavadocGenerates Javadoc comments from the TechnicalInformationHandler's data.Classweka.coreWeka
TeeThis class pipelines print/println's to several PrintStreams.Classweka.coreWeka
TemplateManagerManages all things template-relatedVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.knowledgeflowWeka
TestClass to represent a test.Classweka.datageneratorsWeka
TestDistributionsJava class for TestDistributions element declaration.Classweka.core.pmml.jaxbbindingsWeka
TesterInterface for different kinds of Testers in the Experimenter.Interfaceweka.experimentWeka
TestInstancesGenerates artificial datasets for testing.Classweka.coreWeka
TestSetEventEvent encapsulating a test setVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
TestSetListenerInterface to something that can accpet test set eventsVersion:$Revision: 8034 $Author:Mark HallInterfaceweka.gui.beansWeka
TestSetMakerBean that accepts data sets and produces test setsVersion:$Revision: 10216 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
TestSetMakerA step that makes an incoming dataSet or trainingSet into a testSet.Classweka.knowledgeflow.stepsWeka
TestSetMakerBeanInfoBean info class for the test set maker bean.Classweka.gui.beansWeka
TestSetProducerInterface to something that can produce test setsVersion:$Revision: 8034 $Author:Mark HallInterfaceweka.gui.beansWeka
TextCorpusJava class for TextCorpus element declaration.Classweka.core.pmml.jaxbbindingsWeka
TextDictionaryJava class for TextDictionary element declaration.Classweka.core.pmml.jaxbbindingsWeka
TextDirectoryLoader Loads all text files in a directory and uses the subdirectory names as class labels.Classweka.core.convertersWeka
TextDocumentJava class for TextDocument element declaration.Classweka.core.pmml.jaxbbindingsWeka
TextEventEvent that encapsulates some textual informationVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
TextListenerInterface to something that can process a TextEventSince:1.Interfaceweka.gui.beansWeka
TextModelJava class for TextModel element declaration.Classweka.core.pmml.jaxbbindingsWeka
TextModelNormalizationJava class for TextModelNormalization element declaration.Classweka.core.pmml.jaxbbindingsWeka
TextModelSimiliarityJava class for TextModelSimiliarity element declaration.Classweka.core.pmml.jaxbbindingsWeka
TextSaverSimple component to save the text carried in text events out to a fileVersion:$Revision: 9250 $Author:thuvh (thuvh87{[at]}gmail{[dot]}com), Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.beansWeka
TextSaverStep for saving textual data to a file.Classweka.knowledgeflow.stepsWeka
TextSaverBeanInfoBean info class for the serialized model saver beanVersion:$Revision: 9238 $Author:(thuvh87{[at]}gmail{[dot]}com), Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.beansWeka
TextSaverCustomizerCustomizer for the TextSaver component.Classweka.gui.beansWeka
TextViewerBean that collects and displays pieces of textVersion:$Revision: 10815 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
TextViewerA step for collecting and viewing textual dataVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.knowledgeflow.stepsWeka
TextViewerBeanInfoBean info class for the text viewerVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWeka
TextViewerInteractiveViewInteractive viewer for the TextViewer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.gui.knowledgeflow.stepsWeka
ThreadSafeInterfaceweka.coreWeka
ThresholdCurveGenerates points illustrating prediction tradeoffs that can be obtained by varying the threshold value between classes.Classweka.classifiers.evaluationWeka
ThresholdDataEventEvent encapsulating classifier performance data based on varying a threshold over the classifier's predicted probabilitiesClassweka.gui.beansWeka
ThresholdDataListenerInterface to something that can accept ThresholdDataEventsSince:1.Interfaceweka.gui.beansWeka
ThresholdProducingMetricSome evaluation measures may optimize thresholds on the class probabilities.Interfaceweka.classifiers.evaluationWeka
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.visualizeWeka
TimeJava class for Time element declaration.Classweka.core.pmml.jaxbbindingsWeka
TimeAnchorJava class for TimeAnchor element declaration.Classweka.core.pmml.jaxbbindingsWeka
TIMEANCHOR2Java class for TIME-ANCHOR.Classweka.core.pmml.jaxbbindingsWeka
TimeCycleJava class for TimeCycle element declaration.Classweka.core.pmml.jaxbbindingsWeka
TimeExceptionJava class for TimeException element declaration.Classweka.core.pmml.jaxbbindingsWeka
TIMEEXCEPTIONTYPEenum TIMEEXCEPTIONTYPEJava class for TIME-EXCEPTION-TYPE.Classweka.core.pmml.jaxbbindingsWeka
TimeSeriesJava class for TimeSeries element declaration.Classweka.core.pmml.jaxbbindingsWeka
TIMESERIESALGORITHMenum TIMESERIESALGORITHMJava class for TIMESERIES-ALGORITHM.Classweka.core.pmml.jaxbbindingsWeka
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.attributeWeka
TimeSeriesModelJava class for TimeSeriesModel element declaration.Classweka.core.pmml.jaxbbindingsWeka
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.attributeWeka
TIMESERIESUSAGEenum TIMESERIESUSAGEJava class for TIMESERIES-USAGE.Classweka.core.pmml.jaxbbindingsWeka
TimestampJava class for Timestamp element declaration.Classweka.core.pmml.jaxbbindingsWeka
TimeValueJava class for TimeValue element declaration.Classweka.core.pmml.jaxbbindingsWeka
TitleUpdatedEventEvent that gets send in case a scripting panel updates the title.Classweka.gui.scripting.eventWeka
TitleUpdatedListenerInterface for frames/dialogs that listen to changes of the title.Interfaceweka.gui.scripting.eventWeka
TokenizerA superclass for all tokenizer algorithms.Classweka.core.tokenizersWeka
TopDownConstructor The class implementing the TopDown construction method of ball trees.Classweka.core.neighboursearch.balltreesWeka
TrainingInstancesJava class for TrainingInstances element declaration.Classweka.core.pmml.jaxbbindingsWeka
TrainingSetEventEvent encapsulating a training setVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
TrainingSetListenerInterface to something that can accept and process training set eventsVersion:$Revision: 8034 $Author:Mark HallInterfaceweka.gui.beansWeka
TrainingSetMakerBean that accepts a data sets and produces a training setVersion:$Revision: 10216 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
TrainingSetMakerStep that converts an incoming dataSet or testSet into a trainingSet.Classweka.knowledgeflow.stepsWeka
TrainingSetMakerBeanInfoBean info class for the training set maker beanVersion:$Revision: 8034 $Author:Mark HallClassweka.gui.beansWeka
TrainingSetProducerInterface to something that can produce a training setVersion:$Revision: 8034 $Author:Mark HallInterfaceweka.gui.beansWeka
TrainTestSplitMakerBean that accepts data sets, training sets, test sets and produces both a training and test set by randomly spliting the dataClassweka.gui.beansWeka
TrainTestSplitMakerA step that creates a random train/test split from an incoming data set.Classweka.knowledgeflow.stepsWeka
TrainTestSplitMakerBeanInfoBean info class for the train test split maker beanSince:1.Classweka.gui.beansWeka
TrainTestSplitMakerCustomizerGUI customizer for the train test split maker beanVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized FormClassweka.gui.beansWeka
TransformationDictionaryJava class for TransformationDictionary element declaration.Classweka.core.pmml.jaxbbindingsWeka
Transpose Transposes the data: instances become attributes and attributes become instances.Classweka.filters.unsupervised.attributeWeka
TreeBuildThis class will parse a dotty file and construct a tree structure from it with Edge's and Node'sClassweka.gui.treevisualizerWeka
TreeDisplayEventAn event containing the user selection from the tree displayVersion:$Revision: 8034 $Author:Malcolm Ware (mfw4@cs.Classweka.gui.treevisualizerWeka
TreeDisplayListenerInterface implemented by classes that wish to recieve user selection events from a tree displayer.Interfaceweka.gui.treevisualizerWeka
TreeModelClass implementing import of PMML TreeModel.Classweka.classifiers.pmml.consumerWeka
TreeModelJava class for TreeModel element declaration.Classweka.core.pmml.jaxbbindingsWeka
TreePerformanceStatsThe class that measures the performance of a tree based nearest neighbour search algorithm.Classweka.core.neighboursearchWeka
TreeVisualizePluginInterface implemented by classes loaded dynamically to visualize classifier results in the explorer.Interfaceweka.gui.visualize.pluginsWeka
TreeVisualizerClass for displaying a Node structure in Swing.Classweka.gui.treevisualizerWeka
TrendExpoSmoothJava class for Trend_ExpoSmooth element declaration.Classweka.core.pmml.jaxbbindingsWeka
TrieA class representing a Trie data structure for strings.Classweka.coreWeka
TrueJava class for True element declaration.Classweka.core.pmml.jaxbbindingsWeka
TwoClassStatsEncapsulates performance functions for two-class problems.Classweka.classifiers.evaluationWeka
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.coreWeka
UnassignedDatasetExceptionException that is raised when trying to use something that has no reference to a dataset, when one is required.Classweka.coreWeka
UndoableInterface implemented by classes that support undo.Interfaceweka.coreWeka
UniformDistributionJava class for UniformDistribution element declaration.Classweka.core.pmml.jaxbbindingsWeka
UnivariateDensityEstimatorInterface that can be implemented by simple weighted univariate density estimators.Interfaceweka.estimatorsWeka
UnivariateEqualFrequencyHistogramEstimatorSimple histogram density estimator.Classweka.estimatorsWeka
UnivariateIntervalEstimatorInterface that can be implemented by simple weighted univariate interval estimators.Interfaceweka.estimatorsWeka
UnivariateKernelEstimatorSimple weighted kernel density estimator.Classweka.estimatorsWeka
UnivariateMixtureEstimatorSimple weighted mixture density estimator.Classweka.estimatorsWeka
UnivariateNominalMultiwaySplitA multiway split based on a single nominal attributeVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
UnivariateNormalEstimatorSimple weighted normal density estimator.Classweka.estimatorsWeka
UnivariateNumericBinarySplitA binary split based on a single numeric attributeVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs.Classweka.classifiers.trees.htWeka
UnivariateQuantileEstimatorInterface that can be implemented by simple weighted univariate quantile estimators.Interfaceweka.estimatorsWeka
UnivariateStatsJava class for UnivariateStats element declaration.Classweka.core.pmml.jaxbbindingsWeka
UnsupervisedAttributeEvaluatorAbstract unsupervised attribute evaluator.Classweka.attributeSelectionWeka
UnsupervisedFilterInterfaceweka.filtersWeka
UnsupervisedSubsetEvaluatorAbstract unsupervised attribute subset evaluator.Classweka.attributeSelectionWeka
UnsupportedAttributeTypeExceptionException that is raised by an object that is unable to process some of the attribute types it has been passed.Classweka.coreWeka
UnsupportedClassTypeExceptionException that is raised by an object that is unable to process the class type of the data it has been passed.Classweka.coreWeka
UpdateableBatchProcessorUpdateable classifiers can implement this if they wish to be informed at the end of the training stream.Interfaceweka.classifiersWeka
UpdateableClassifierInterface to incremental classification models that can learn using one instance at a time.Interfaceweka.classifiersWeka
UpdateableClustererInterface to incremental cluster models that can learn using one instance Version:$Revision: 10829 $Author:FracPete (fracpete at waikato dot ac dot nz)Interfaceweka.clusterersWeka
URLSourcedLoaderInterface to a loader that can load from a http urlVersion:$Revision 1.Interfaceweka.core.convertersWeka
UserRequestAcceptorInterface to something that can accept requests from a user to perform someSince:1.Interfaceweka.gui.beansWeka
UtilsClass implementing some simple utility methods.Classweka.coreWeka
VALIDTIMESPECJava class for VALID-TIME-SPEC.Classweka.core.pmml.jaxbbindingsWeka
ValueJava class for Value element declaration.Classweka.core.pmml.jaxbbindingsWeka
ValuesStores some statistics.Classweka.classifiers.trees.m5Weka
VariableDeclarationsInterface to expose variables to a program.Interfaceweka.core.expressionlanguage.coreWeka
VariableDeclarationsCompositorA helper class that allows to combine several variable declarations together.Classweka.core.expressionlanguage.commonWeka
VaryNodePart of ADTree implementation.Classweka.classifiers.bayes.netWeka
VectorDictionaryJava class for VectorDictionary element declaration.Classweka.core.pmml.jaxbbindingsWeka
VectorDictionaryClass encapsulating the PMML VectorDictionary construct.Classweka.core.pmmlWeka
VectorFieldsJava class for VectorFields element declaration.Classweka.core.pmml.jaxbbindingsWeka
VectorInstanceJava class for VectorInstance element declaration.Classweka.core.pmml.jaxbbindingsWeka
VectorInstanceClass encapsulating a PMML VectorInstance constructVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.core.pmmlWeka
VerificationFieldJava class for VerificationField element declaration.Classweka.core.pmml.jaxbbindingsWeka
VerificationFieldsJava class for VerificationFields element declaration.Classweka.core.pmml.jaxbbindingsWeka
VersionThis class contains the version number of the current WEKA release and some methods for comparing another version string.Classweka.coreWeka
VersionPackageConstraintConcrete implementation of PackageConstraint that encapsulates constraints related to version numbers.Classweka.core.packageManagementWeka
VersionRangePackageConstraintA concrete implementation of PackgageConstraint that encapsulates ranged version number constraints.Classweka.core.packageManagementWeka
ViewerDialogA downsized version of the ArffViewer, displaying only one Instances-Object.Classweka.guiWeka
VisibleInterface to something that has a visible (via BeanVisual) reprentationSince:1.Interfaceweka.gui.beansWeka
VisibleLayoutPanel that wraps a flow and makes it visible in the KnowledgeFlow, along with it's associated log panelClassweka.gui.knowledgeflowWeka
VisualizableErrorEventEvent encapsulating error information for a learning scheme that can be visualized in the DataVisualizerClassweka.gui.beansWeka
VisualizableErrorListenerInterface to something that can accept VisualizableErrorEventsSince:1.Interfaceweka.gui.beansWeka
VisualizePanelA slightly extended MatrixPanel for better support in the Explorer.Classweka.gui.explorerWeka
VisualizePanelThis panel allows the user to visualize a dataset (and if provided) a classifier's/clusterer's predictions in two dimensions.Classweka.gui.visualizeWeka
VisualizePanelEventThis event Is fired to a listeners 'userDataEvent' function when The user on the VisualizePanel clicks submit.Classweka.gui.visualizeWeka
VisualizePanelListenerInterface implemented by a class that is interested in receiving submited shapes from a visualize panel.Interfaceweka.gui.visualizeWeka
VisualizePluginInterface implemented by classes loaded dynamically to visualize classifier results in the explorer.Interfaceweka.gui.visualize.pluginsWeka
VisualizeUtilsThis class contains utility routines for visualizationVersion:$Revision: 12391 $Author:Mark Hall (mhall@cs.Classweka.gui.visualizeWeka
Vote Class for combining classifiers.Classweka.classifiers.metaWeka
VotedPerceptron Implementation of the voted perceptron algorithm by Freund and Schapire.Classweka.classifiers.functionsWeka
WeightedInstancesHandlerInterfaceweka.coreWeka
WeightedInstancesHandlerWrapper Generic wrapper around any classifier to enable weighted instances support.Classweka.classifiers.metaWeka
WeightMassSimple container for a weightVersion:$Revision: 9707 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized FormClassweka.classifiers.trees.htWeka
WekaAlgorithmWrapperA step that wraps a class of standard Weka algorithm (e.Classweka.knowledgeflow.stepsWeka
WekaEnumerationClass for enumerating an array list's elements.Classweka.coreWeka
WekaExceptionClass for Weka-specific exceptions.Classweka.coreWeka
WekaOffscreenChartRendererDefault OffscreenChartRenderer that uses Weka's built-in chart and graphVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)Classweka.gui.beansWeka
WekaPackageManagerClass providing package management and manipulation routines.Classweka.coreWeka
WekaTaskMonitorThis panel records the number of weka tasks running and displays a simple bird animation while their are active tasksClassweka.guiWeka
WekaWrapperInterface to something that can wrap around a class of Weka algorithms (classifiers, filters etc).Interfaceweka.gui.beansWeka
WordsFromFile Uses the stopwords located in the specified file (ignored _if pointing to a directory).Classweka.core.stopwordsWeka
WordTokenizer A simple tokenizer that is using the java.Classweka.core.tokenizersWeka
WorkbenchLauncher class for the Weka workbench.Classweka.guiWeka
WorkbenchAppOne app to rule them all, one app to find them, one app to bring them all and with perspectives bind them.Classweka.guiWeka
WorkbenchDefaultsDefault settings for the Workbench app.Classweka.guiWeka
WrapLayoutFlowLayout subclass that fully supports wrapping of components.Classweka.guiWeka
WrapperSubsetEval Evaluates attribute sets by using a learning scheme.Classweka.attributeSelectionWeka
XCoordinatesJava class for XCoordinates element declaration.Classweka.core.pmml.jaxbbindingsWeka
XMLBasicSerializationThis serializer contains some read/write methods for common classes that are not beans-conform.Classweka.core.xmlWeka
XMLBeansThis class serializes and deserializes a KnowledgeFlow setup to and fro XML.Classweka.gui.beans.xmlWeka
XMLClassifierThis class serializes and deserializes a Classifier instance to andVersion:$Revision: 8034 $Author:FracPete (fracpete at waikato dot ac dot nz)Classweka.classifiers.xmlWeka
XMLDocumentThis class offers some methods for generating, reading and writing It can only handle UTF-8.Classweka.core.xmlWeka
XMLExperimentThis class serializes and deserializes an Experiment instance to and fro XML.Classweka.experiment.xmlWeka
XMLFileBasedMetaStoreA simple default implementation of MetaStore that uses Weka's XML serialization mechanism to persist entries as XML files inClassweka.core.metastoreWeka
XMLInstancesXML representation of the Instances class.Classweka.core.xmlWeka
XMLOptionsA class for transforming options listed in XML to a regular WEKA command lineVersion:$Revision: 10203 $Author:FracPete (fracpete at waikato dot ac dot nz)Classweka.core.xmlWeka
XMLSerializationWith this class objects can be serialized to XML instead into a binary format.Classweka.core.xmlWeka
XMLSerializationMethodHandlerThis class handles relationships between display names of properties (or classes) and Methods that are associated with them.Classweka.core.xmlWeka
XRFFLoader Reads a source that is in the XML version of the ARFF format.Classweka.core.convertersWeka
XRFFSaver Writes to a destination that is in the XML version of the ARFF format.Classweka.core.convertersWeka
XStreamThis class is a helper class for XML serialization using XStream .Classweka.core.xmlWeka
YCoordinatesJava class for YCoordinates element declaration.Classweka.core.pmml.jaxbbindingsWeka
YongSplitInfoStores split information.Classweka.classifiers.trees.m5Weka
ZeroR Class for building and using a 0-R classifier.Classweka.classifiers.rulesWeka