Search Java Classes and Packages
# Classes and Interfaces in #Weka - 1156 results found.
| Name | Description | Type | Package | Framework |
| AbstractAssociator | Abstract scheme for learning associations. | Class | weka.associations | Weka |
| AbstractClassifier | Abstract classifier. | Class | weka.classifiers | Weka |
| AbstractClusterer | Class | weka.clusterers | Weka | |
| AbstractDataSink | Abstract class for objects that store instances to some destination. | Class | weka.gui.beans | Weka |
| AbstractDataSinkBeanInfo | Bean info class for the AbstractDataSinkVersion:$Revision: 8034 $Author:Mark Hall | Class | weka.gui.beans | Weka |
| AbstractDataSource | Abstract class for objects that can provide instances from some sourceSince:1. | Class | weka.gui.beans | Weka |
| AbstractDataSourceBeanInfo | Bean info class for AbstractDataSource. | Class | weka.gui.beans | Weka |
| AbstractDensityBasedClusterer | Abstract clustering model that produces (for each test instance) an estimate of the membership in each cluster | Class | weka.clusterers | Weka |
| AbstractEvaluationMetric | Abstract base class for pluggable classification/regression evaluationVersion:$Revision: 12409 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.classifiers.evaluation | Weka |
| AbstractEvaluator | Abstract class for objects that can provide some kind of evaluation for classifier, clusterers etc. | Class | weka.gui.beans | Weka |
| AbstractFileBasedStopwords | Ancestor for file-based stopword schemes. | Class | weka.core.stopwords | Weka |
| AbstractFileLoader | Abstract superclass for all file loaders. | Class | weka.core.converters | Weka |
| AbstractFileSaver | Abstract class for Savers that save to a file -i input arff file | Class | weka.core.converters | Weka |
| AbstractGUIApplication | Base class for GUI applications in WekaVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui | Weka |
| AbstractInstance | Abstract class providing common functionality for the original instanceVersion:$Revision: 10649 $Author:Eibe Frank (eibe@cs. | Class | weka.core | Weka |
| AbstractLoader | Abstract class gives default implementation of setSource methods. | Class | weka.core.converters | Weka |
| AbstractOffscreenChartRenderer | Abstract base class for offscreen chart renderers. | Class | weka.gui.beans | Weka |
| AbstractOutput | A superclass for outputting the classifications of a classifier. | Class | weka.classifiers.evaluation.output.prediction | Weka |
| AbstractPerspective | Base classes for GUI perspectives to extend. | Class | weka.gui | Weka |
| AbstractPlotInstances | Abstract superclass for generating plottable instances. | Class | weka.gui.explorer | Weka |
| AbstractPMMLProducerHelper | Abstract base class for PMMLProducer helper classes to extend. | Class | weka.classifiers.pmml.producer | Weka |
| AbstractSaver | Abstract class for SaverVersion:$Revision: 11006 $Author:Richard Kirkby (rkirkby@cs. | Class | weka.core.converters | Weka |
| AbstractSetupPanel | Ancestor for setup panels for experiments. | Class | weka.gui.experiment | Weka |
| AbstractStopwords | Ancestor for stopwords classes. | Class | weka.core.stopwords | Weka |
| AbstractTestSetProducer | Abstract class for TestSetProducers that contains default implementations of add/remove listener methods and defualt visual representation. | Class | weka.gui.beans | Weka |
| AbstractTestSetProducerBeanInfo | BeanInfo class for AbstractTestSetProducerVersion:$Revision: 8034 $Author:Mark Hall | Class | weka.gui.beans | Weka |
| AbstractTimeSeries | An abstract instance filter that assumes instances form time-series data and performs some merging of attribute values in the current instance with | Class | weka.filters.unsupervised.attribute | Weka |
| AbstractTrainAndTestSetProducer | Abstract base class for TrainAndTestSetProducers that contains default implementations of add/remove listener methods and defualt visual | Class | weka.gui.beans | Weka |
| AbstractTrainAndTestSetProducerBeanInfo | Bean info class for AbstractTrainAndTestSetProducersVersion:$Revision: 8034 $Author:Mark Hall | Class | weka.gui.beans | Weka |
| AbstractTrainingSetProducer | Abstract class for TrainingSetProducers that contains default implementations of add/remove listener methods and default visual representation | Class | weka.gui.beans | Weka |
| AbstractTrainingSetProducerBeanInfo | BeanInfo class for AbstractTrainingSetProducerVersion:$Revision: 8034 $Author:Mark Hall | Class | weka.gui.beans | Weka |
| ACTIVATIONFUNCTION | enum ACTIVATIONFUNCTIONJava class for ACTIVATION-FUNCTION. | Class | weka.core.pmml.jaxbbindings | Weka |
| ActiveHNode | Node that is "active" (i. | Class | weka.classifiers.trees.ht | Weka |
| AdaBoostM1 | Class for boosting a nominal class classifier using the Adaboost M1 method. | Class | weka.classifiers.meta | Weka |
| Add | An instance filter that adds a new attribute to the dataset. | Class | weka.filters.unsupervised.attribute | Weka |
| AddClassification | A filter for adding the classification, the class distribution and an error flag to a dataset with a classifier. | Class | weka.filters.supervised.attribute | Weka |
| AddCluster | A filter that adds a new nominal attribute representing the cluster assigned to each instance by the specified | Class | weka.filters.unsupervised.attribute | Weka |
| AddExpression | An instance filter that creates a new attribute by applying a mathematical expression to existing attributes. | Class | weka.filters.unsupervised.attribute | Weka |
| AddID | An instance filter that adds an ID attribute to the dataset. | Class | weka.filters.unsupervised.attribute | Weka |
| AdditionalMeasureProducer | Interface to something that can produce measures other than those calculated by evaluation modules. | Interface | weka.core | Weka |
| AdditiveRegression | Meta classifier that enhances the performance of a regression base classifier. | Class | weka.classifiers.meta | Weka |
| AddNoise | An instance filter that changes a percentage of a given attributes values. | Class | weka.filters.unsupervised.attribute | Weka |
| AddUserFields | A filter that adds new attributes with user specified type and constant value. | Class | weka.filters.unsupervised.attribute | Weka |
| AddUserFieldsBeanInfo | Bean info class for the AddUserFields filter. | Class | weka.filters.unsupervised.attribute | Weka |
| AddUserFieldsCustomizer | Customizer for the AddUserFields filter. | Class | weka.gui.filters | Weka |
| AddValues | Adds the labels from the given list to an attribute if they are missing. | Class | weka.filters.unsupervised.attribute | Weka |
| ADNode | The ADNode class implements the ADTree datastructure which increases the speed with which sub-contingency tables can be constructed from a data set in | Class | weka.classifiers.bayes.net | Weka |
| Aggregate | Java class for Aggregate element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Aggregateable | Interface to something that can aggregate an object of the same type withVersion:$Revision: 9784 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Interface | weka.core | Weka |
| AggregateableEvaluation | Subclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object. | Class | weka.classifiers | Weka |
| AggregateableEvaluation | Subclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object. | Class | weka.classifiers.evaluation | Weka |
| Agrawal | Generates a people database and is based on the paper by Agrawal et al. | Class | weka.datagenerators.classifiers.classification | Weka |
| AlgorithmListPanel | This panel controls setting a list of algorithms for an experiment to iterateVersion:$Revision: 10222 $Author:Richard Kirkby (rkirkby@cs. | Class | weka.gui.experiment | Weka |
| AlgVector | Class for performing operations on an algebraic vector of floating-point values. | Class | weka.core | Weka |
| AllFilter | A simple instance filter that passes all instances directly through. | Class | weka.filters | Weka |
| AllJavadoc | Applies all known Javadoc-derived classes to a source file. | Class | weka.core | Weka |
| AlphabeticTokenizer | Alphabetic string tokenizer, tokens are to be formed only from contiguous alphabetic sequences. | Class | weka.core.tokenizers | Weka |
| Alternate | Java class for Alternate element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Annotation | Java class for Annotation element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Anova | Java class for Anova element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| AnovaRow | Java class for AnovaRow element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| AntecedentSequence | Java class for AntecedentSequence element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| AnyDistribution | Java class for AnyDistribution element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Appender | A bean that appends multiple incoming data connections into a single data set. | Class | weka.gui.beans | Weka |
| Appender | A bean that appends multiple incoming data connections into a single data set. | Class | weka.knowledgeflow.steps | Weka |
| AppenderBeanInfo | Bean info class for the appender beanVersion:$Revision: 10150 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Class | weka.gui.beans | Weka |
| Application | Java class for Application element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Apply | Java class for Apply element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Apriori | Class implementing an Apriori-type algorithm. | Class | weka.associations | Weka |
| AprioriItemSet | Class for storing a set of items. | Class | weka.associations | Weka |
| ArffLoader | Reads a source that is in arff (attribute relation file format) format. | Class | weka.core.converters | Weka |
| ArffPanel | A Panel representing an ARFF-Table and the associated filename. | Class | weka.gui.arffviewer | Weka |
| ArffSaver | Writes to a destination in arff text format. | Class | weka.core.converters | Weka |
| ArffSortedTableModel | A sorter for the ARFF-Viewer - necessary because of the custom CellRenderer. | Class | weka.gui.arffviewer | Weka |
| ArffTable | A specialized JTable for the Arff-Viewer. | Class | weka.gui.arffviewer | Weka |
| ArffTableCellRenderer | Handles the background colors for missing values differently than the DefaultTableCellRenderer. | Class | weka.gui.arffviewer | Weka |
| ArffTableModel | The model for the Arff-Viewer. | Class | weka.gui.arffviewer | Weka |
| ArffViewer | A little tool for viewing ARFF files. | Class | weka.gui.arffviewer | Weka |
| ArffViewerMainPanel | The main panel of the ArffViewer. | Class | weka.gui.arffviewer | Weka |
| Array | Class for encapsulating a PMML Array element. | Class | weka.core.pmml | Weka |
| ArrayType | Java class for ArrayType complex type. | Class | weka.core.pmml.jaxbbindings | Weka |
| ASEvaluation | Abstract attribute selection evaluation classVersion:$Revision: 12201 $Author:Mark Hall (mhall@cs. | Class | weka.attributeSelection | Weka |
| ASEvaluator | Step that wraps a Weka attribute or subset evaluator. | Class | weka.knowledgeflow.steps | Weka |
| ASEvaluatorStepEditorDialog | Step editor dialog for the ASEvaluator stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| ASSearch | Abstract attribute selection search class. | Class | weka.attributeSelection | Weka |
| ASSearchStrategy | Step that wraps a Weka attribute selection search strategy. | Class | weka.knowledgeflow.steps | Weka |
| AssociationModel | Java class for AssociationModel element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| AssociationRule | Abstract class for storing and manipulating an association rule. | Class | weka.associations | Weka |
| AssociationRule | Java class for AssociationRule element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| AssociationRules | Class encapsulating a list of association rules. | Class | weka.associations | Weka |
| AssociationRulesProducer | Interface to something that can provide a list ofVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Interface | weka.associations | Weka |
| AssociationRuleVisualizePlugin | Interface implemented by classes loaded dynamically to visualize association results in the explorer. | Interface | weka.gui.visualize.plugins | Weka |
| AssociationsPanel | This panel allows the user to select, configure, and run a scheme that learnsVersion:$Revision: 12232 $Author:Eibe Frank (eibe@cs. | Class | weka.gui.explorer | Weka |
| Associator | Generates an associator. | Interface | weka.associations | Weka |
| Associator | Bean that wraps around weka. | Class | weka.gui.beans | Weka |
| Associator | Step that wraps a Weka associator. | Class | weka.knowledgeflow.steps | Weka |
| AssociatorBeanInfo | BeanInfo class for the Associator wrapper beanVersion:$Revision: 8034 $Author:Mark Hall (mhall at cs dot waikato dot ac dot nz) | Class | weka.gui.beans | Weka |
| AssociatorCustomizer | GUI customizer for the associator wrapper beanVersion:$Revision: 8034 $Author:Mark Hall (mhall at cs dot waikato dot ac dot nz)See Also:Serialized Form | Class | weka.gui.beans | Weka |
| AssociatorEvaluation | Class for evaluating Associaters. | Class | weka.associations | Weka |
| Attribute | Class for handling an attribute. | Class | weka.core | Weka |
| Attribute | Java class for Attribute element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| AttributeEvaluator | Interface for classes that evaluate attributes individually. | Interface | weka.attributeSelection | Weka |
| AttributeListPanel | Creates a panel that displays the attributes contained in a set of instances, letting the user select a single attribute for inspection. | Class | weka.gui | Weka |
| AttributeLocator | This class locates and records the indices of a certain type of attributes, recursively in case of Relational attributes. | Class | weka.core | Weka |
| AttributeMetaInfo | Class | weka.core | Weka | |
| AttributePanel | This panel displays one dimensional views of the attributes in a dataset. | Class | weka.gui.visualize | Weka |
| AttributePanelEvent | Class encapsulating a change in the AttributePanel's selected x and yVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs. | Class | weka.gui.visualize | Weka |
| AttributePanelListener | Interface for classes that want to listen for Attribute selection changes in the attribute panel | Interface | weka.gui.visualize | Weka |
| AttributeSelectedClassifier | Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier. | Class | weka.classifiers.meta | Weka |
| AttributeSelection | Attribute selection class. | Class | weka.attributeSelection | Weka |
| AttributeSelection | A supervised attribute filter that can be used to select attributes. | Class | weka.filters.supervised.attribute | Weka |
| AttributeSelectionPanel | This panel allows the user to select and configure an attribute evaluator and a search method, set the attribute of the current dataset to be used as the | Class | weka.gui.explorer | Weka |
| AttributeSetEvaluator | Abstract attribute set evaluator. | Class | weka.attributeSelection | Weka |
| AttributeStats | A Utility class that contains summary information on an the values that appear in a dataset for a particular attribute. | Class | weka.core | Weka |
| AttributeSummarizer | Bean that encapsulates displays bar graph summaries for attributes in a dataVersion:$Revision: 10216 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| AttributeSummarizer | Step that collects data to display in a summary overview of attributeVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.knowledgeflow.steps | Weka |
| AttributeSummarizerBeanInfo | Bean info class for the attribute summarizer beanVersion:$Revision: 8034 $Author:Mark Hall | Class | weka.gui.beans | Weka |
| AttributeSummarizerCustomizer | GUI customizer for attribute summarizer. | Class | weka.gui.beans | Weka |
| AttributeSummarizerInteractiveView | Interactive viewer for the AttributeSummarizer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| AttributeSummarizerStepEditorDialog | Step editor dialog for the attribute summarizer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| AttributeSummaryPanel | This panel displays summary statistics about an attribute: name, type number/% of missing/unique values, number of distinct values. | Class | weka.gui | Weka |
| AttributeSummaryPerspective | Knowledge Flow perspective that provides a matrix of AttributeVisualizationPanels | Class | weka.gui.knowledgeflow | Weka |
| AttributeTransformer | Abstract attribute transformer. | Interface | weka.attributeSelection | Weka |
| AttributeVisualizationPanel | Creates a panel that shows a visualization of an attribute in a dataset. | Class | weka.gui | Weka |
| AveragingResultProducer | Takes the results from a ResultProducer and submits the average to the result listener. | Class | weka.experiment | Weka |
| Bagging | Class for bagging a classifier to reduce variance. | Class | weka.classifiers.meta | Weka |
| BallNode | Class representing a node of a BallTree. | Class | weka.core.neighboursearch.balltrees | Weka |
| BallSplitter | Abstract class for splitting a ball tree's BallNode. | Class | weka.core.neighboursearch.balltrees | Weka |
| BallTree | Class implementing the BallTree/Metric Tree algorithm for nearest neighbour search. | Class | weka.core.neighboursearch | Weka |
| BallTreeConstructor | Abstract class for constructing a BallTree . | Class | weka.core.neighboursearch.balltrees | Weka |
| BaseCumHazardTables | Java class for BaseCumHazardTables element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| BaseExecutionEnvironment | Base class for execution environmentsAuthor:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Class | weka.knowledgeflow | Weka |
| BaseInteractiveViewer | Base class than clients can extend when implementing StepInteractiveViewer. | Class | weka.gui.knowledgeflow | Weka |
| Baseline | Java class for Baseline element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| BaselineCell | Java class for BaselineCell element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| BaselineModel | Java class for BaselineModel element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| BaselineStratum | Java class for BaselineStratum element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| BASELINETESTSTATISTIC | enum BASELINETESTSTATISTICJava class for BASELINE-TEST-STATISTIC. | Class | weka.core.pmml.jaxbbindings | Weka |
| BaseSimpleDataVisualizer | Abstract base class for simple data visualization steps that just collect data sets for visualization. | Class | weka.knowledgeflow.steps | Weka |
| BaseStep | Base class for implementations of Step to use. | Class | weka.knowledgeflow.steps | Weka |
| BaseStepExtender | A minimal set of methods, duplicated from the Step interface, that a simple subclass of BaseStep would need to implement in order to function as a start | Interface | weka.knowledgeflow.steps | Weka |
| BatchAssociationRulesEvent | Class encapsulating a set of association rules. | Class | weka.gui.beans | Weka |
| BatchAssociationRulesListener | Interface to something that can process a BatchAssociationRulesEvent. | Interface | weka.gui.beans | Weka |
| BatchClassifierEvent | Class encapsulating a built classifier and a batch of instances to test on. | Class | weka.gui.beans | Weka |
| BatchClassifierListener | Interface to something that can process a BatchClassifierEventSince:1. | Interface | weka.gui.beans | Weka |
| BatchClustererEvent | Class encapsulating a built clusterer and a batch of instances toSince:1. | Class | weka.gui.beans | Weka |
| BatchClustererListener | Interface to something that can process a BatchClustererEventVersion:$Revision: 8034 $Author:MStefan MutterSee Also:EventListener | Interface | weka.gui.beans | Weka |
| BatchConverter | Interface | weka.core.converters | Weka | |
| BatchPredictor | Interface to something that can produce predictions in a batch manner when presented with a set of Instances. | Interface | weka.core | Weka |
| BayesInput | Java class for BayesInput element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| BayesInputs | Java class for BayesInputs element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| BayesNet | Bayes Network learning using various search algorithms and quality measures. | Class | weka.classifiers.bayes | Weka |
| BayesNet | Generates random instances based on a Bayes network. | Class | weka.datagenerators.classifiers.classification | Weka |
| BayesNetEstimator | BayesNetEstimator is the base class for estimating the conditional probability tables of a Bayes network once the structure has | Class | weka.classifiers.bayes.net.estimate | Weka |
| BayesNetGenerator | Bayes Network learning using various search algorithms and quality measures. | Class | weka.classifiers.bayes.net | Weka |
| BayesOutput | Java class for BayesOutput element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| BeanCommon | Interface specifying routines that all weka beans should implement in order to allow the bean environment to exercise some control over the | Interface | weka.gui.beans | Weka |
| BeanConnection | Class for encapsulating a connection between two beans. | Class | weka.gui.beans | Weka |
| BeanCustomizer | a listener interested in notification about whether the customizer has modified the object that it is customizing. | Interface | weka.gui.beans | Weka |
| BeanInstance | Class that manages a set of beans. | Class | weka.gui.beans | Weka |
| BeansProperties | Utility class encapsulating various properties for the KnowledgeFlow and providing methods to register and deregister plugin Bean components | Class | weka.gui.beans | Weka |
| BeanVisual | BeanVisual encapsulates icons and label for a given bean. | Class | weka.gui.beans | Weka |
| BestFirst | Searches the space of attribute subsets by greedy hillclimbing augmented with a backtracking facility. | Class | weka.attributeSelection | Weka |
| BIFFormatException | This is the Exception thrown by BIFParser, if there was an error in parsing the XMLBIF string or input | Class | weka.gui.graphvisualizer | Weka |
| BIFParser | This class parses an inputstream or a string in XMLBIF ver. | Class | weka.gui.graphvisualizer | Weka |
| BIFReader | Builds a description of a Bayes Net classifier stored in XML BIF 0. | Class | weka.classifiers.bayes.net | Weka |
| BinaryItem | Class that encapsulates an item whose backing Attribute isVersion:$Revision; $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.associations | Weka |
| BinarySimilarity | Java class for binarySimilarity element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| BinarySparseInstance | Class for storing a binary-data-only instance as a sparse vector. | Class | weka.core | Weka |
| BinC45ModelSelection | Class for selecting a C4. | Class | weka.classifiers.trees.j48 | Weka |
| BinC45Split | Class implementing a binary C4. | Class | weka.classifiers.trees.j48 | Weka |
| BIRCHCluster | Cluster data generator designed for the BIRCH Dataset is generated with instances in K clusters. | Class | weka.datagenerators.clusterers | Weka |
| Block | A step that waits for a specified step to finish processing before allowing incoming data to proceed downstream. | Class | weka.knowledgeflow.steps | Weka |
| BlockStepEditorDialog | Step editor dialog for the Block stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| BMAEstimator | BMAEstimator estimates conditional probability tables of a Bayes network using Bayes Model Averaging (BMA). | Class | weka.classifiers.bayes.net.estimate | Weka |
| BMPWriter | This class takes any JComponent and outputs it to a BMP-file. | Class | weka.gui.visualize | Weka |
| BottomUpConstructor | The class that constructs a ball tree bottom up. | Class | weka.core.neighboursearch.balltrees | Weka |
| BoundaryPanel | BoundaryPanel. | Class | weka.gui.boundaryvisualizer | Weka |
| BoundaryPanelDistributed | This class extends BoundaryPanel with code for distributing the processing necessary to create a visualization among a list of remote machines. | Class | weka.gui.boundaryvisualizer | Weka |
| BoundaryPlotter | A step that computes visualization data for class/cluster decisionVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.knowledgeflow.steps | Weka |
| BoundaryPlotterInteractiveView | Interactive viewer component for the boundary plotter stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| BoundaryPlotterStepEditorDialog | Editor dialog for the boundary plotter stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| BoundaryValueMeans | Java class for BoundaryValueMeans element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| BoundaryValues | Java class for BoundaryValues element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| BoundaryVisualizer | BoundaryVisualizer. | Class | weka.gui.boundaryvisualizer | Weka |
| BrowserHelper | A little helper class for browser related stuff. | Class | weka.gui | Weka |
| BuiltInArithmetic | Built-in function for +, -, *, /. | Class | weka.core.pmml | Weka |
| BuiltInMath | Built-in function for min, max, sum, avg, log10, ln, sqrt, abs, exp, pow, threshold, floor, ceil and round. | Class | weka.core.pmml | Weka |
| BuiltInString | Built-in function for uppercase, substring and trimblanks. | Class | weka.core.pmml | Weka |
| BVDecompose | Class for performing a Bias-Variance decomposition on any classifier using the method specified in: Ron Kohavi, David H. | Class | weka.classifiers | Weka |
| BVDecomposeSegCVSub | This class performs Bias-Variance decomposion on any classifier using the sub-sampled cross-validation procedure as specified in (1). | Class | weka.classifiers | Weka |
| C45Loader | Reads a file that is C45 format. | Class | weka.core.converters | Weka |
| C45ModelSelection | Class for selecting a C4. | Class | weka.classifiers.trees.j48 | Weka |
| C45PruneableClassifierTree | Class for handling a tree structure that can be pruned using C4. | Class | weka.classifiers.trees.j48 | Weka |
| C45PruneableDecList | Class for handling a partial tree structure pruned using C4. | Class | weka.classifiers.rules.part | Weka |
| C45Saver | Writes to a destination that is in the format used by the C4. | Class | weka.core.converters | Weka |
| C45Split | Class implementing a C4. | Class | weka.classifiers.trees.j48 | Weka |
| CachedKernel | Base class for RBFKernel and PolyKernel that implements a simple LRU. | Class | weka.classifiers.functions.supportVector | Weka |
| CallbackNotifierDelegate | Interface to something that can notify a Step that a Task submitted by ExecutionEnvironment. | Interface | weka.knowledgeflow | Weka |
| Canopy | Cluster data using the capopy clustering algorithm, which requires just one pass over the data. | Class | weka.clusterers | Weka |
| Capabilities | A class that describes the capabilites (e. | Class | weka.core | Weka |
| CapabilitiesHandler | Classes implementing this interface return their capabilities in regardsVersion:$Revision: 11006 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Capabilities | Interface | weka.core | Weka |
| CapabilitiesIgnorer | Classes implementing this interface make it possible to turn off capabilities checking. | Interface | weka.core | Weka |
| CartesianProduct | A filter for performing the Cartesian product of a set of nominal attributes. | Class | weka.filters.unsupervised.attribute | Weka |
| CARuleMiner | Interface for learning class association rules. | Interface | weka.associations | Weka |
| CategoricalPredictor | Java class for CategoricalPredictor element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Categories | Java class for Categories element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Category | Java class for Category element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| CATSCORINGMETHOD | enum CATSCORINGMETHODJava class for CAT-SCORING-METHOD. | Class | weka.core.pmml.jaxbbindings | Weka |
| Center | Centers all numeric attributes in the given dataset to have zero mean (apart from the class attribute, if set). | Class | weka.filters.unsupervised.attribute | Weka |
| CfsSubsetEval | Evaluates the worth of a subset of attributes by considering the individual predictive ability of each feature along with the degree of redundancy | Class | weka.attributeSelection | Weka |
| ChangeDateFormat | Changes the date format used by a date attribute. | Class | weka.filters.unsupervised.attribute | Weka |
| CharacterDelimitedTokenizer | Abstract superclass for tokenizers that take characters as delimiters. | Class | weka.core.tokenizers | Weka |
| Characteristic | Java class for Characteristic element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Characteristics | Java class for Characteristics element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| CharacterNGramTokenizer | Splits a string into an n-gram with min and max Valid options are: | Class | weka.core.tokenizers | Weka |
| ChartEvent | Event encapsulating info for plotting a data point on the StripChartVersion:$Revision: 10216 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| ChartListener | Interface to something that can process a ChartEventVersion:$Revision: 8034 $Author:Mark Hall | Interface | weka.gui.beans | Weka |
| Chebychev | Java class for chebychev element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ChebyshevDistance | Implements the Chebyshev distance. | Class | weka.core | Weka |
| Check | Abstract general class for testing in Weka. | Class | weka.core | Weka |
| CheckAssociator | Class for examining the capabilities and finding problems with associators. | Class | weka.associations | Weka |
| CheckAttributeSelection | Class for examining the capabilities and finding problems with attribute selection schemes. | Class | weka.attributeSelection | Weka |
| CheckBoxList | An extended JList that contains CheckBoxes. | Class | weka.gui | Weka |
| CheckClassifier | Class for examining the capabilities and finding problems with classifiers. | Class | weka.classifiers | Weka |
| CheckClusterer | Class for examining the capabilities and finding problems with clusterers. | Class | weka.clusterers | Weka |
| CheckEstimator | Class for examining the capabilities and finding problems with estimators. | Class | weka.estimators | Weka |
| CheckGOE | Simple command line checking of classes that are editable in the GOE. | Class | weka.core | Weka |
| CheckKernel | Class for examining the capabilities and finding problems with kernels. | Class | weka.classifiers.functions.supportVector | Weka |
| CheckOptionHandler | Simple command line checking of classes that implement OptionHandler. | Class | weka.core | Weka |
| CheckScheme | Abstract general class for testing schemes in Weka. | Class | weka.core | Weka |
| CheckSource | A simple class for checking the source generated from Classifiers implementing the weka. | Class | weka.classifiers | Weka |
| CheckSource | A simple class for checking the source generated from Filters implementing the weka. | Class | weka.filters | Weka |
| ChildParent | Java class for ChildParent element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| CholeskyDecomposition | Cholesky Decomposition. | Class | weka.core.matrix | Weka |
| 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). | Class | weka.classifiers.bayes.net.search.ci | Weka |
| CityBlock | Java class for cityBlock element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ClassAssigner | Filter that can set and unset the class index. | Class | weka.filters.unsupervised.attribute | Weka |
| ClassAssigner | Bean that assigns a class attribute to a data set. | Class | weka.gui.beans | Weka |
| ClassAssigner | Knowledge Flow step for assigning a class attribute in incoming dataVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.knowledgeflow.steps | Weka |
| ClassAssignerBeanInfo | BeanInfo class for the class assigner beanVersion:$Revision: 8034 $Author:Mark Hall | Class | weka.gui.beans | Weka |
| ClassAssignerCustomizer | GUI customizer for the class assigner beanVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| ClassAssignerStepEditorDialog | Step editor dialog for the ClassAssigner stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| ClassBalancer | Reweights the instances in the data so that each class has the same total weight. | Class | weka.filters.supervised.instance | Weka |
| ClassCache | A singleton that stores all classes on the classpath. | Class | weka.core | Weka |
| ClassConditionalProbabilities | Converts the values of nominal and/or numeric attributes into class conditional probabilities. | Class | weka.filters.supervised.attribute | Weka |
| ClassDiscovery | This class is used for discovering classes that implement a certain interface or a derived from a certain class. | Class | weka.core | Weka |
| ClassificationGenerator | Abstract class for data generators for classifiers. | Class | weka.datagenerators | Weka |
| ClassificationViaRegression | Class for doing classification using regression methods. | Class | weka.classifiers.meta | Weka |
| Classifier | Classifier interface. | Interface | weka.classifiers | Weka |
| Classifier | Bean that wraps around weka. | Class | weka.gui.beans | Weka |
| Classifier | Step that wraps a Weka classifier. | Class | weka.knowledgeflow.steps | Weka |
| ClassifierBeanInfo | BeanInfo class for the Classifier wrapper beanVersion:$Revision: 8034 $Author:Mark Hall | Class | weka.gui.beans | Weka |
| ClassifierCustomizer | GUI customizer for the classifier wrapper beanVersion:$Revision: 9213 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| ClassifierDecList | Class for handling a rule (partial tree) for a decision list. | Class | weka.classifiers.rules.part | Weka |
| ClassifierErrorsPlotInstances | A class for generating plottable visualization errors. | Class | weka.gui.explorer | Weka |
| ClassifierPanel | This panel allows the user to select and configure a classifier, set the attribute of the current dataset to be used as the class, and evaluate the | Class | weka.gui.explorer | Weka |
| ClassifierPanelLaunchHandlerPlugin | Interface to plugin that can take the current state of the Classifier panel and execute it. | Interface | weka.gui.explorer | Weka |
| ClassifierPerformanceEvaluator | A bean that evaluates the performance of batch trained classifiersVersion:$Revision: 12704 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| ClassifierPerformanceEvaluator | Step that implements batch classifier evaluationVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.knowledgeflow.steps | Weka |
| ClassifierPerformanceEvaluatorBeanInfo | Bean info class for the classifier performance evaluatorVersion:$Revision: 9455 $Author:Mark Hall | Class | weka.gui.beans | Weka |
| ClassifierPerformanceEvaluatorCustomizer | GUI customizer for the classifier performance evaluator componentVersion:$Revision: 9320 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.beans | Weka |
| ClassifierPerformanceEvaluatorStepEditorDialog | GUI step editor dialog for the ClassifierPerformanceEvaluator stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| ClassifierSplitEvaluator | A SplitEvaluator that produces results for a classification scheme on a nominal class attribute. | Class | weka.experiment | Weka |
| ClassifierSplitModel | Abstract class for classification models that can be used recursively to split the data. | Class | weka.classifiers.trees.j48 | Weka |
| ClassifierTree | Class for handling a tree structure used for classification. | Class | weka.classifiers.trees.j48 | Weka |
| ClassLabels | Java class for ClassLabels element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ClassloaderUtil | Utility class that can add jar files to the classpath dynamically. | Class | weka.core | Weka |
| ClassOrder | Changes the order of the classes so that the class values are no longer of in the order specified in the header. | Class | weka.filters.supervised.attribute | Weka |
| ClassPanel | This panel displays coloured labels for nominal attributes and a spectrum for numeric attributes. | Class | weka.gui.visualize | Weka |
| ClassValuePicker | Class | weka.gui.beans | Weka | |
| ClassValuePicker | Step that allows the selection of the class label that is to be considered as the "positive" class when computing threshold curves. | Class | weka.knowledgeflow.steps | Weka |
| ClassValuePickerBeanInfo | BeanInfo class for the class value picker beanVersion:$Revision: 8034 $Author:Mark Hall | Class | weka.gui.beans | Weka |
| ClassValuePickerCustomizer | Class | weka.gui.beans | Weka | |
| ClassValuePickerStepEditorDialog | Editor dialog for the ClassValuePicker step. | Class | weka.gui.knowledgeflow.steps | Weka |
| CloseableTabTitle | Tab title widget that allows the user to click a little cross in order toVersion:$Revision: 11870 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui | Weka |
| Cluster | Java class for Cluster element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ClusterDefinition | Ancestor to all ClusterDefinitions, i. | Class | weka.datagenerators | Weka |
| Clusterer | Interface for clusterers. | Interface | weka.clusterers | Weka |
| Clusterer | Bean that wraps around weka. | Class | weka.gui.beans | Weka |
| Clusterer | Step that wraps a Weka clusterer. | Class | weka.knowledgeflow.steps | Weka |
| ClustererAssignmentsPlotInstances | A class for generating plottable cluster assignments. | Class | weka.gui.explorer | Weka |
| ClustererBeanInfo | BeanInfo class for the Clusterer wrapper beanVersion:$Revision: 8034 $Author:Stefan Mutter | Class | weka.gui.beans | Weka |
| ClustererCustomizer | GUI customizer for the Clusterer wrapper beanVersion:$Revision: 8034 $Author:Stefan MutterSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| ClustererPanel | This panel allows the user to select and configure a clusterer, and evaluate the clusterer using a number of testing modes (test on the training data, | Class | weka.gui.explorer | Weka |
| ClustererPanelLaunchHandlerPlugin | Interface to plugin that can take the current state of the Clusterer panel and execute it. | Interface | weka.gui.explorer | Weka |
| ClustererPerformanceEvaluator | A bean that evaluates the performance of batch trained clusterersVersion:$Revision: 10220 $Author:Stefan MutterSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| ClustererPerformanceEvaluator | A step that evaluates the performance of batch trained clusterersVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.knowledgeflow.steps | Weka |
| ClustererPerformanceEvaluatorBeanInfo | Bean info class for the clusterer performance evaluatorVersion:$Revision: 8034 $Author:Stefan Mutter | Class | weka.gui.beans | Weka |
| ClusterEvaluation | Class for evaluating clustering models. | Class | weka.clusterers | Weka |
| ClusterGenerator | Abstract class for cluster data generators. | Class | weka.datagenerators | Weka |
| ClusteringField | Java class for ClusteringField element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ClusteringModel | Java class for ClusteringModel element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ClusteringModelQuality | Java class for ClusteringModelQuality element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ClusterMembership | A filter that uses a density-based clusterer to generate cluster membership values; filtered instances are composed of these | Class | weka.filters.unsupervised.attribute | Weka |
| Cobweb | Class implementing the Cobweb and Classit clustering algorithms. | Class | weka.clusterers | Weka |
| Coefficient | Java class for Coefficient element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Coefficients | Java class for Coefficients element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ColorEditor | A property editor for colors that uses JColorChooser as theVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Class | weka.gui | Weka |
| Colors | This class maintains a list that contains all the colornames from the dotty standard and what color (in RGB) they represent | Class | weka.gui.treevisualizer | Weka |
| CommandlineRunnable | Interface to something that can be run from the command line. | Interface | weka.core | Weka |
| COMPAREFUNCTION | enum COMPAREFUNCTIONJava class for COMPARE-FUNCTION. | Class | weka.core.pmml.jaxbbindings | Weka |
| ComparisonMeasure | Java class for ComparisonMeasure element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Comparisons | Java class for Comparisons element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ComponentHelper | A helper class for some common tasks with Dialogs, Icons, etc. | Class | weka.gui | Weka |
| CompoundPredicate | Java class for CompoundPredicate element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| CompoundRule | Java class for CompoundRule element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Compute | Interface to something that can accept remote connections and executeVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs. | Interface | weka.experiment | Weka |
| Con1 | Java class for Con element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ConditionalDensityEstimator | Interface for numeric prediction schemes that can output conditionalVersion:$Revision: 8034 $Author:Eibe Frank (eibe@cs. | Interface | weka.classifiers | Weka |
| ConditionalEstimator | Interface for conditional probability estimators. | Interface | weka.estimators | Weka |
| ConditionalSufficientStats | Records sufficient stats for an attributeVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs. | Class | weka.classifiers.trees.ht | Weka |
| ConfigurationEvent | Matching event for ConfigurationListener. | Class | weka.gui.beans | Weka |
| ConfigurationListener | Matching listener for ConfigurationEvent. | Interface | weka.gui.beans | Weka |
| ConfigurationProducer | Marker interface for components that can share their configuration. | Interface | weka.gui.beans | Weka |
| ConfusionMatrix | Cells of this matrix correspond to counts of the number (or weight) of predictions for each actual value / predicted value combination. | Class | weka.classifiers.evaluation | Weka |
| ConfusionMatrix | Java class for ConfusionMatrix element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ConjugateGradientOptimization | This subclass of Optimization. | Class | weka.core | Weka |
| ConnectionEvent | An event that is generated when a connection is established or dropped. | Class | weka.gui.sql.event | Weka |
| ConnectionListener | A listener for connect/disconnect events. | Interface | weka.gui.sql.event | Weka |
| ConnectionNotificationConsumer | Interface for Beans that can receive (dis-)connection events generated when (dis-)connecting data processing nodes in the Weka KnowledgeFlow. | Interface | weka.gui.beans | Weka |
| ConnectionPanel | Enables the user to insert a database URL, plus user/password to connect toVersion:$Revision: 10222 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized Form | Class | weka.gui.sql | Weka |
| ConsequentSequence | Java class for ConsequentSequence element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ConsoleLogger | A simple logger that outputs the logging information in the console. | Class | weka.core.logging | Weka |
| Constant | Class encapsulating a Constant Expression. | Class | weka.core.pmml | Weka |
| Constant | Java class for Constant element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Constraints | Java class for Constraints element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ContingencyTables | Class implementing some statistical routines for contingency tables. | Class | weka.core | Weka |
| CONTSCORINGMETHOD | enum CONTSCORINGMETHODJava class for CONT-SCORING-METHOD. | Class | weka.core.pmml.jaxbbindings | Weka |
| ContStats | Java class for ContStats element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ConverterFileChooser | A specialized JFileChooser that lists all available file Loaders and Savers. | Class | weka.gui | Weka |
| ConverterUtils | Utility routines for the converter package. | Class | weka.core.converters | Weka |
| Copy | An instance filter that copies a range of attributes in the dataset. | Class | weka.filters.unsupervised.attribute | Weka |
| Copyable | Interface implemented by classes that can produce "shallow" copies of their objects. | Interface | weka.core | Weka |
| Copyright | A class for providing centralized Copyright information. | Class | weka.core | Weka |
| CorrelationAttributeEval | CorrelationAttributeEval : Evaluates the worth of an attribute by measuring the correlation (Pearson's) | Class | weka.attributeSelection | Weka |
| CorrelationFields | Java class for CorrelationFields element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| CorrelationMethods | Java class for CorrelationMethods element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Correlations | Java class for Correlations element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| CorrelationSplitInfo | Finds split points using correlation. | Class | weka.classifiers.trees.m5 | Weka |
| CorrelationValues | Java class for CorrelationValues element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| CostBenefitAnalysis | Bean that aids in analyzing cost/benefit tradeoffs. | Class | weka.gui.beans | Weka |
| CostBenefitAnalysis | Step for storing and viewing threshold data in a cost-benefit visualizationVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.knowledgeflow.steps | Weka |
| CostBenefitAnalysisBeanInfo | Bean info class for the cost/benefit analysisVersion:$Revision: 8046 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Class | weka.gui.beans | Weka |
| CostBenefitAnalysisInteractiveView | Interactive view for the CostBenefitAnalysis stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| CostBenefitAnalysisPanel | Panel for displaying the cost-benefit plots and all control widgets. | Class | weka.gui | Weka |
| CostCurve | Generates points illustrating probablity cost tradeoffs that can be obtained by varying the threshold value between classes. | Class | weka.classifiers.evaluation | Weka |
| CostMatrix | Class for storing and manipulating a misclassification cost matrix. | Class | weka.classifiers | Weka |
| CostMatrixEditor | Class for editing CostMatrix objects. | Class | weka.gui | Weka |
| CostSensitiveClassifier | A metaclassifier that makes its base classifier cost-sensitive. | Class | weka.classifiers.meta | Weka |
| CostSensitiveClassifierSplitEvaluator | SplitEvaluator that produces results for a classification scheme on a nominal class attribute, including weighted | Class | weka.experiment | Weka |
| Counts | Java class for Counts element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| COUNTTABLETYPE | Java class for COUNT-TABLE-TYPE complex type. | Class | weka.core.pmml.jaxbbindings | Weka |
| Covariances | Java class for Covariances element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| CovariateList | Java class for CovariateList element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| CoverTree | Class implementing the CoverTree datastructure. | Class | weka.core.neighboursearch | Weka |
| CrossValidationFoldMaker | Bean for splitting instances into training ant test sets according to a crossVersion:$Revision: 10220 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| CrossValidationFoldMaker | Step for generating cross-validation splitsVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.knowledgeflow.steps | Weka |
| CrossValidationFoldMakerBeanInfo | BeanInfo class for the cross validation fold maker beanVersion:$Revision: 8034 $Author:Mark Hall | Class | weka.gui.beans | Weka |
| CrossValidationFoldMakerCustomizer | GUI Customizer for the cross validation fold maker beanVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| CrossValidationResultProducer | Generates for each run, carries out an n-fold cross-validation, using the set SplitEvaluator to generate some results. | Class | weka.experiment | Weka |
| CrossValidationSplitResultProducer | Carries out one split of a repeated k-fold cross-validation, using the set SplitEvaluator to generate some results. | Class | weka.experiment | Weka |
| CSV | Outputs the predictions as CSV. | Class | weka.classifiers.evaluation.output.prediction | Weka |
| CSVLoader | Reads a source that is in comma separated format (the default). | Class | weka.core.converters | Weka |
| CSVResultListener | Takes results from a result producer and assembles them into comma separated value form. | Class | weka.experiment | Weka |
| CSVSaver | Writes to a destination that is in CSV (comma-separated values) format. | Class | weka.core.converters | Weka |
| CUMULATIVELINKFUNCTION | enum CUMULATIVELINKFUNCTIONJava class for CUMULATIVE-LINK-FUNCTION. | Class | weka.core.pmml.jaxbbindings | Weka |
| CustomDisplayStringProvider | For classes that do not implement the OptionHandler interface and want to provide a custom display string in the GenericObjectEditor, which is more | Interface | weka.core | Weka |
| CustomizerCloseRequester | Customizers who want to be able to close the customizer window themselves can implement this window. | Interface | weka.gui.beans | Weka |
| CustomizerClosingListener | Interface | weka.gui.beans | Weka | |
| CustomPanelSupplier | An interface for objects that are capable of supplying their own custom GUI components. | Interface | weka.gui | Weka |
| CVParameterSelection | Class for performing parameter selection by cross-validation for any classifier. | Class | weka.classifiers.meta | Weka |
| Data | Class for encapsulating data to be transferred between Knowledge Flow steps over a particular connection type. | Class | weka.knowledgeflow | Weka |
| DatabaseConnection | Connects to a database. | Class | weka.core.converters | Weka |
| DatabaseConnectionDialog | A dialog to enter URL, username and password for a database connection. | Class | weka.gui | Weka |
| DatabaseConverter | Marker interface for a loader/saver that uses a databaseVersion:$Revision 1. | Interface | weka.core.converters | Weka |
| DatabaseLoader | Reads Instances from a Database. | Class | weka.core.converters | Weka |
| DatabaseResultListener | Takes results from a result producer and sends themVersion:$Revision: 11247 $Author:Len Trigg (trigg@cs. | Class | weka.experiment | Weka |
| DatabaseResultProducer | Examines a database and extracts out the results produced by the specified ResultProducer and submits them to the specified | Class | weka.experiment | Weka |
| DatabaseSaver | Writes to a database (tested with MySQL, InstantDB, Valid options are: | Class | weka.core.converters | Weka |
| DatabaseUtils | DatabaseUtils provides utility functions for accessing the experiment database. | Class | weka.experiment | Weka |
| DataCollector | Auxiliary interface for steps that collect data results of some type - e. | Interface | weka.knowledgeflow.steps | Weka |
| DataDictionary | Java class for DataDictionary element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| DataField | Java class for DataField element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| DataFormatListener | Listener interface that customizer classes that are interested in data format changes can implement. | Interface | weka.gui.beans | Weka |
| DataGenerator | Abstract superclass for data generators that generate data for classifiersVersion:$Revision: 10583 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized Form | Class | weka.datagenerators | Weka |
| DataGenerator | Interface to something that can generate new instances based on a set of input instances | Interface | weka.gui.boundaryvisualizer | Weka |
| DataGenerator | Step that wraps a Weka DataGenerator. | Class | weka.knowledgeflow.steps | Weka |
| DataGeneratorPanel | A panel for generating artificial data via DataGenerators. | Class | weka.gui.explorer | Weka |
| DataGrid | A step that allows the user to define instances to outputVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.knowledgeflow.steps | Weka |
| DataGridStepEditorDialog | Step editor dialog for the data gridVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| DataSetEvent | Event encapsulating a data setVersion:$Revision: 8034 $Author:Mark HallSee Also:EventObject, | Class | weka.gui.beans | Weka |
| DatasetListPanel | This panel controls setting a list of datasets for an experiment to iterateVersion:$Revision: 10222 $Author:Len Trigg (trigg@cs. | Class | weka.gui.experiment | Weka |
| DataSink | Interface | weka.gui.beans | Weka | |
| DataSource | Interface to something that is capable of being a source for data - either batch or incremental data | Interface | weka.gui.beans | Weka |
| DataSourceListener | Interface to something that can accept DataSetEventsSince:1. | Interface | weka.gui.beans | Weka |
| DATATYPE | Java class for DATATYPE. | Class | weka.core.pmml.jaxbbindings | Weka |
| DataVisualizer | Bean that encapsulates weka. | Class | weka.gui.beans | Weka |
| DataVisualizer | A step that provides a visualization based on weka. | Class | weka.knowledgeflow.steps | Weka |
| DataVisualizerBeanInfo | Bean info class for the data visualizerVersion:$Revision: 8034 $Author:Mark Hall | Class | weka.gui.beans | Weka |
| DataVisualizerCustomizer | GUI customizer for data visualizer. | Class | weka.gui.beans | Weka |
| DataVisualizerInteractiveView | Interactive viewer for the DataVisualizer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| DataVisualizerStepEditorDialog | Editor dialog for the DataVisualizer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| DateAttributeInfo | Stores information for date attributes. | Class | weka.core | Weka |
| DbUtils | A little bit extended DatabaseUtils class. | Class | weka.gui.sql | Weka |
| DDConditionalEstimator | Conditional probability estimator for a discrete domain conditional uponVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs. | Class | weka.estimators | Weka |
| Debug | A helper class for debug output, logging, clocking, etc. | Class | weka.core | Weka |
| Decision | Java class for Decision element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Decisions | Java class for Decisions element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| DecisionStump | Class for building and using a decision stump. | Class | weka.classifiers.trees | Weka |
| DecisionTable | Class for building and using a simple decision table majority classifier. | Class | weka.classifiers.rules | Weka |
| DecisionTableHashKey | Class providing hash table keys for DecisionTableSee Also:Serialized Form | Class | weka.classifiers.rules | Weka |
| DecisionTree | Java class for DecisionTree element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| DefaultAssociationRule | Class for storing and manipulating an association rule. | Class | weka.associations | Weka |
| DefaultCallbackNotifierDelegate | Default implementation of a CallbackNotifierDelegate. | Class | weka.knowledgeflow | Weka |
| DefaultPackage | A concrete implementation of Package that uses Java properties files/classes to manage package meta data. | Class | weka.core.packageManagement | Weka |
| DefaultPackageManager | A concrete implementation of PackageManager that uses Java properties files/class to manage package meta data. | Class | weka.core.packageManagement | Weka |
| Defaults | Base class for providing a set of default settings for an application. | Class | weka.core | Weka |
| DefineFunction | Class encapsulating DefineFunction (used in TransformationDictionary). | Class | weka.core.pmml | Weka |
| DefineFunction | Java class for DefineFunction element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| DelayedCallbackNotifierDelegate | and only notifies the callback when the notifyNow() method is called. | Class | weka.knowledgeflow | Weka |
| Delimiter | Java class for Delimiter element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| DELIMITER2 | Java class for DELIMITER. | Class | weka.core.pmml.jaxbbindings | Weka |
| DenseInstance | Class for handling an instance. | Class | weka.core | Weka |
| DensityBasedClusterer | Interface for clusterers that can estimate the density for a given instance. | Interface | weka.clusterers | Weka |
| DensityBasedClustererSplitEvaluator | A SplitEvaluator that produces results for a density based clusterer. | Class | weka.experiment | Weka |
| Dependency | Class that encapsulates a dependency between two packagesVersion:$Revision: 44030 $Author:mhall (mhall{[at]}pentaho{[dot]}com) | Class | weka.core.packageManagement | Weka |
| DerivedField | Java class for DerivedField element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| DerivedFieldMetaInfo | Class | weka.core.pmml | Weka | |
| DesignPanel | Panel that contains the tree view of steps and the searchVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow | Weka |
| DictionaryBuilder | Class for building and maintaining a dictionary of terms. | Class | weka.core | Weka |
| DictionarySaver | Writes a dictionary constructed from string attributes in incoming instances to a destination. | Class | weka.core.converters | Weka |
| DiscreteEstimator | Simple symbolic probability estimator based on symbol counts. | Class | weka.estimators | Weka |
| DiscreteEstimatorBayes | Symbolic probability estimator based on symbol counts and a prior. | Class | weka.classifiers.bayes.net.estimate | Weka |
| DiscreteEstimatorFullBayes | Symbolic probability estimator based on symbol counts and a prior. | Class | weka.classifiers.bayes.net.estimate | Weka |
| Discretize | Class encapsulating a Discretize Expression. | Class | weka.core.pmml | Weka |
| Discretize | Java class for Discretize element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Discretize | An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes. | Class | weka.filters.supervised.attribute | Weka |
| Discretize | An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes. | Class | weka.filters.unsupervised.attribute | Weka |
| DiscretizeBin | Java class for DiscretizeBin element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| DiscrStats | Java class for DiscrStats element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| DistanceFunction | Interface for any class that can compute and return distances between twoVersion:$Revision: 10535 $Author:Ashraf M. | Interface | weka.core | Weka |
| DistributeExperimentPanel | This panel enables an experiment to be distributed to multiple hosts; it also allows remote host names to be specified. | Class | weka.gui.experiment | Weka |
| Distribution | Class for handling a distribution of class values. | Class | weka.classifiers.trees.j48 | Weka |
| DKConditionalEstimator | Conditional probability estimator for a discrete domain conditional uponVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs. | Class | weka.estimators | Weka |
| DNConditionalEstimator | Conditional probability estimator for a discrete domain conditional uponVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs. | Class | weka.estimators | Weka |
| DocumentPrinting | DocumentPrinting is a class that lets you print documents on the fly for free ;) Printing in JDK 1. | Class | weka.gui | Weka |
| DocumentTermMatrix | Java class for DocumentTermMatrix element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| DotParser | This class parses input in DOT format, and builds the datastructures that are passed to it. | Class | weka.gui.graphvisualizer | Weka |
| Drawable | Interface to something that can be drawn as a graph. | Interface | weka.core | Weka |
| Dummy | A "dummy" no-op stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.knowledgeflow.steps | Weka |
| Edge | This class is used in conjunction with the Node class to form a tree structure. | Class | weka.gui.treevisualizer | Weka |
| EditableBayesNet | Bayes Network learning using various search algorithms and quality measures. | Class | weka.classifiers.bayes.net | Weka |
| EigenvalueDecomposition | Eigenvalues and eigenvectors of a real matrix. | Class | weka.core.matrix | Weka |
| EM | Simple EM (expectation maximisation) class. | Class | weka.clusterers | Weka |
| EntropyBasedSplitCrit | Class | weka.classifiers.trees.j48 | Weka | |
| ModelPerformanceChartInteractiveView | Interactive viewer for the ModelPerformanceChart stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| ModelPerformanceChartStepEditorDialog | Step editor dialog for the ModelPerformanceChart stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| ModelSelection | Abstract class for model selection criteria. | Class | weka.classifiers.trees.j48 | Weka |
| ModelStats | Java class for ModelStats element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ModelVerification | Java class for ModelVerification element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| MultiClassClassifier | A metaclassifier for handling multi-class datasets with 2-class classifiers. | Class | weka.classifiers.meta | Weka |
| MultiClassClassifierUpdateable | A metaclassifier for handling multi-class datasets with 2-class classifiers. | Class | weka.classifiers.meta | Weka |
| MultiFilter | Applies several filters successively. | Class | weka.filters | Weka |
| MultiInstanceCapabilitiesHandler | Multi-Instance classifiers can specify an additional Capabilities object for the data in the relational attribute, since the format of multi-instance | Interface | weka.core | Weka |
| MultilayerPerceptron | A Classifier that uses backpropagation to classify This network can be built by hand, created by an algorithm or both. | Class | weka.classifiers.functions | Weka |
| MultiNomialBMAEstimator | Multinomial BMA Estimator. | Class | weka.classifiers.bayes.net.estimate | Weka |
| MultipleClassifiersCombiner | Abstract utility class for handling settings common to meta classifiers that build an ensemble from multiple classifiers. | Class | weka.classifiers | Weka |
| MULTIPLEMODELMETHOD | enum MULTIPLEMODELMETHODJava class for MULTIPLE-MODEL-METHOD. | Class | weka.core.pmml.jaxbbindings | Weka |
| MultiScheme | Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data. | Class | weka.classifiers.meta | Weka |
| MultiStopwords | Applies the specified stopwords algorithms one after other. | Class | weka.core.stopwords | Weka |
| MultivariateEstimator | Interface to Multivariate Distribution EstimationVersion:$Revision: 12743 $Author:Uday Kamath, PhD candidate George Mason University | Interface | weka.estimators | Weka |
| MultivariateGaussianEstimator | Class | weka.estimators | Weka | |
| MultivariateStat | Java class for MultivariateStat element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| MultivariateStats | Java class for MultivariateStats element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| NaiveBayes | Class for a Naive Bayes classifier using estimator classes. | Class | weka.classifiers.bayes | Weka |
| NaiveBayes | The NaiveBayes class generates a fixed Bayes network structure with arrows from the class variable to each of the attribute variables. | Class | weka.classifiers.bayes.net.search.fixed | Weka |
| NaiveBayesModel | Java class for NaiveBayesModel element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| NaiveBayesMultinomialText | Multinomial naive bayes for text data. | Class | weka.classifiers.bayes | Weka |
| NaiveBayesUpdateable | Class for a Naive Bayes classifier using estimator classes. | Class | weka.classifiers.bayes | Weka |
| NamedColor | This class contains a color name and the rgb values of that colorVersion:$Revision: 8034 $Author:Malcolm Ware (mfw4@cs. | Class | weka.gui.treevisualizer | Weka |
| NBNode | Class | weka.classifiers.trees.ht | Weka | |
| NBNodeAdaptive | Bayes for predictionVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs. | Class | weka.classifiers.trees.ht | Weka |
| NBTreeClassifierTree | Class for handling a naive bayes tree structure used for classification. | Class | weka.classifiers.trees.j48 | Weka |
| NBTreeModelSelection | Class for selecting a NB tree split. | Class | weka.classifiers.trees.j48 | Weka |
| NBTreeNoSplit | Class implementing a "no-split"-split (leaf node) for naive bayesVersion:$Revision: 10531 $Author:Mark Hall (mhall@cs. | Class | weka.classifiers.trees.j48 | Weka |
| NBTreeSplit | Class implementing a NBTree split on an attribute. | Class | weka.classifiers.trees.j48 | Weka |
| NDConditionalEstimator | Conditional probability estimator for a numeric domain conditional upon a discrete domain (utilises separate normal estimators for each discrete | Class | weka.estimators | Weka |
| NearestNeighborModel | Java class for NearestNeighborModel element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| NearestNeighbourSearch | Abstract class for nearest neighbour search. | Class | weka.core.neighboursearch | Weka |
| NeuralConnection | Abstract unit in a NeuralNetwork. | Class | weka.classifiers.functions.neural | Weka |
| NeuralInput | Java class for NeuralInput element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| NeuralInputs | Java class for NeuralInputs element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| NeuralLayer | Java class for NeuralLayer element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| NeuralMethod | This is an interface used to create classes that can be used by the neuralnode to perform all it's computations. | Interface | weka.classifiers.functions.neural | Weka |
| NeuralNetwork | Class implementing import of PMML Neural Network model. | Class | weka.classifiers.pmml.consumer | Weka |
| NeuralNetwork | Java class for NeuralNetwork element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| NeuralNode | This class is used to represent a node in the neuralnet. | Class | weka.classifiers.functions.neural | Weka |
| NeuralOutput | Java class for NeuralOutput element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| NeuralOutputs | Java class for NeuralOutputs element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Neuron | Java class for Neuron element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| NGramTokenizer | Splits a string into an n-gram with min and max Valid options are: | Class | weka.core.tokenizers | Weka |
| NNConditionalEstimator | Conditional probability estimator for a numeric domain conditional upon a numeric domain (using Mahalanobis distance). | Class | weka.estimators | Weka |
| NNNORMALIZATIONMETHOD | enum NNNORMALIZATIONMETHODJava class for NN-NORMALIZATION-METHOD. | Class | weka.core.pmml.jaxbbindings | Weka |
| Node | Interface | weka.core.expressionlanguage.core | Weka | |
| Node | Java class for Node element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Node | This class records all the data about a particular node for displaying. | Class | weka.gui.treevisualizer | Weka |
| NodePlace | This is an interface for classes that wish to take a node structure and Version:$Revision: 8034 $Author:Malcolm F Ware (mfw4@cs. | Interface | weka.gui.treevisualizer | Weka |
| NoMacros | A macro declarations that contains no macros at allVersion:$Revision: 1000 $Author:Benjamin Weber ( benweber at student dot ethz dot ch ) | Class | weka.core.expressionlanguage.common | Weka |
| NominalAttributeInfo | Stores information for nominal and string attributes. | Class | weka.core | Weka |
| NominalConditionalSufficientStats | Maintains sufficient stats for the distribution of a nominal attributeVersion:$Revision: 10432 $Author:Richard Kirkby (rkirkby@cs. | Class | weka.classifiers.trees.ht | Weka |
| NominalItem | Class that encapsulates a nominal item. | Class | weka.associations | Weka |
| NominalPrediction | Encapsulates an evaluatable nominal prediction: the predicted probability distribution plus the actual class value. | Class | weka.classifiers.evaluation | Weka |
| NominalToBinary | Converts all nominal attributes into binary numeric attributes. | Class | weka.filters.supervised.attribute | Weka |
| NominalToBinary | Converts all nominal attributes into binary numeric attributes. | Class | weka.filters.unsupervised.attribute | Weka |
| NominalToString | Converts a nominal attribute (i. | Class | weka.filters.unsupervised.attribute | Weka |
| NonSparseToSparse | An instance filter that converts all incoming instances into sparse format. | Class | weka.filters.unsupervised.instance | Weka |
| NormalEstimator | Simple probability estimator that places a single normal distribution over the observed values. | Class | weka.estimators | Weka |
| NormalizableDistance | Represents the abstract ancestor for normalizable distance functions, like Euclidean or Manhattan distance. | Class | weka.core | Weka |
| Normalize | Normalizes all numeric values in the given dataset (apart from the class attribute, if set). | Class | weka.filters.unsupervised.attribute | Weka |
| NormalizedPolyKernel | The normalized polynomial kernel. | Class | weka.classifiers.functions.supportVector | Weka |
| NormContinuous | Java class for NormContinuous element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| NormContinuous | Class encapsulating a NormContinuous Expression. | Class | weka.core.pmml | Weka |
| NormDiscrete | Java class for NormDiscrete element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| NormDiscrete | Class encapsulating a NormDiscrete Expression. | Class | weka.core.pmml | Weka |
| NoSplit | Class implementing a "no-split"-split. | Class | weka.classifiers.trees.j48 | Weka |
| NoSupportForMissingValuesException | Exception that is raised by an object that is unable to process data with missing values. | Class | weka.core | Weka |
| Note | Simple bean for displaying a textual note on the layout. | Class | weka.gui.beans | Weka |
| Note | A Knowledge Flow "step" that implements a note on the GUI layoutVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.knowledgeflow.steps | Weka |
| NoteBeanInfo | Bean info class for the Note bean. | Class | weka.gui.beans | Weka |
| NoteCustomizer | Customizer for the note component. | Class | weka.gui.beans | Weka |
| NoteEditorDialog | Editor dialog for NotesVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| NoteVisual | Visual representation for the Note "step". | Class | weka.gui.knowledgeflow | Weka |
| NotPersistable | Class | weka.knowledgeflow.steps | Weka | |
| NOTRUECHILDSTRATEGY | enum NOTRUECHILDSTRATEGYJava class for NO-TRUE-CHILD-STRATEGY. | Class | weka.core.pmml.jaxbbindings | Weka |
| NoVariables | A variable declarations that contains no variablesVersion:$Revision: 1000 $Author:Benjamin Weber ( benweber at student dot ethz dot ch )See Also:Serialized Form | Class | weka.core.expressionlanguage.common | Weka |
| Null | Suppresses all output. | Class | weka.classifiers.evaluation.output.prediction | Weka |
| Null | Dummy stopwords scheme, always returns false. | Class | weka.core.stopwords | Weka |
| NullStemmer | A dummy stemmer that performs no stemming at all. | Class | weka.core.stemmers | Weka |
| NumberOfClustersRequestable | Interface to a clusterer that can generate a requested number ofVersion:$Revision: 8034 $Author:Mark Hall | Interface | weka.clusterers | Weka |
| NumericCleaner | A filter that 'cleanses' the numeric data from values that are too small, too big or very close to a certain value (e. | Class | weka.filters.unsupervised.attribute | Weka |
| NumericInfo | Java class for NumericInfo element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| NumericItem | Class that encapsulates a numeric item. | Class | weka.associations | Weka |
| NumericPrediction | Encapsulates an evaluatable numeric prediction: the predicted class value plus the actual class value. | Class | weka.classifiers.evaluation | Weka |
| NumericPredictor | Java class for NumericPredictor element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| NumericToBinary | Converts all numeric attributes into binary attributes (apart from the class attribute, if set): if the value of the | Class | weka.filters.unsupervised.attribute | Weka |
| NumericToNominal | A filter for turning numeric attributes into nominal ones. | Class | weka.filters.unsupervised.attribute | Weka |
| NumericTransform | Transforms numeric attributes using a given transformation method. | Class | weka.filters.unsupervised.attribute | Weka |
| Obfuscate | A simple instance filter that renames the relation, all attribute names and all nominal (and string) attribute values. | Class | weka.filters.unsupervised.attribute | Weka |
| ObjectFactory | This object contains factory methods for each Java content interface and Java element interface | Class | weka.core.pmml.jaxbbindings | Weka |
| OffscreenChartRenderer | Interface to something that can render certain types of chartsVersion:$Revision: 12055 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Interface | weka.gui.beans | Weka |
| OneR | Class for building and using a 1R classifier; in other words, uses the minimum-error attribute for prediction, discretizing | Class | weka.classifiers.rules | Weka |
| OneRAttributeEval | OneRAttributeEval : Evaluates the worth of an attribute by using the OneR classifier. | Class | weka.attributeSelection | Weka |
| Operators | A class to specify the semantics of operators in the expressionlanguage To move the operator semantics outside the parser they are specified | Class | weka.core.expressionlanguage.common | Weka |
| Optimization | problem with only bounds constraints in multi-dimensions. | Class | weka.core | Weka |
| OptimumLiftGraph | Java class for OptimumLiftGraph element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Option | Class to store information about an option. | Class | weka.core | Weka |
| OptionHandler | Interface to something that understands options. | Interface | weka.core | Weka |
| OptionHandlerJavadoc | Generates Javadoc comments from the OptionHandler's options. | Class | weka.core | Weka |
| OptionMetadata | Method annotation that can be used with scheme parameters to provide a nice display-ready name for the parameter, help information and, if applicable, | Class | weka.core | Weka |
| OPTYPE | Java class for OPTYPE. | Class | weka.core.pmml.jaxbbindings | Weka |
| OUTLIERTREATMENTMETHOD | enum OUTLIERTREATMENTMETHODJava class for OUTLIER-TREATMENT-METHOD. | Class | weka.core.pmml.jaxbbindings | Weka |
| Output | Java class for Output element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| OutputField | Java class for OutputField element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| OutputFormatDialog | A dialog for setting various output format parameters. | Class | weka.gui.experiment | Weka |
| OutputLogger | A logger that logs all output on stdout and stderr to a file. | Class | weka.core.logging | Weka |
| OutputZipper | OutputZipper writes output to either gzipped files or to a multi entry zip file. | Class | weka.experiment | Weka |
| Package | Abstract base class for Packages. | Class | weka.core.packageManagement | Weka |
| PackageConstraint | Abstract base class for package constraints. | Class | weka.core.packageManagement | Weka |
| PackageManager | Abstract base class for package managers. | Class | weka.core.packageManagement | Weka |
| PackageManager | A GUI interface the the package management system. | Class | weka.gui | Weka |
| PairCounts | Java class for PairCounts element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| PairedCorrectedTTester | Behaves the same as PairedTTester, only it uses the corrected resampled For more information see: | Class | weka.experiment | Weka |
| PairedDataHelper | A helper class that Step implementations can use when processing paired data (e. | Class | weka.knowledgeflow.steps | Weka |
| PairedStats | A class for storing stats on a paired comparison (t-test and correlation)Version:$Revision: 8034 $Author:Len Trigg (trigg@cs. | Class | weka.experiment | Weka |
| PairedStatsCorrected | A class for storing stats on a paired comparison. | Class | weka.experiment | Weka |
| PairedTTester | Calculates T-Test statistics on data stored in a set of instances. | Class | weka.experiment | Weka |
| ParallelIteratedSingleClassifierEnhancer | Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel from a single base learner. | Class | weka.classifiers | Weka |
| ParallelMultipleClassifiersCombiner | Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel using multiple | Class | weka.classifiers | Weka |
| Parameter | Java class for Parameter element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ParameterField | Java class for ParameterField element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ParameterList | Java class for ParameterList element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ParamMatrix | Java class for ParamMatrix element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ParentSet | Helper class for Bayes Network classifiers. | Class | weka.classifiers.bayes.net | Weka |
| Parser | CUP v0. | Class | weka.core.expressionlanguage.parser | Weka |
| Parser | CUP v0. | Class | weka.core.json | Weka |
| PART | Class for generating a PART decision list. | Class | weka.classifiers.rules | Weka |
| Partition | Java class for Partition element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| PartitionedMultiFilter | A filter that applies filters on subsets of attributes and assembles the output into a new dataset. | Class | weka.filters.unsupervised.attribute | Weka |
| PartitionFieldStats | Java class for PartitionFieldStats element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| PartitionGenerator | This interface can be implemented by algorithms that generate a partition of the instance space (e. | Interface | weka.core | Weka |
| 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. | Class | weka.filters.supervised.attribute | Weka |
| PasswordField | Property editor widget that wraps and displays a JPasswordField. | Class | weka.gui | Weka |
| PasswordProperty | Class | weka.gui | Weka | |
| PCell | Java class for PCell element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| PCovCell | Java class for PCovCell element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| PCovMatrix | Java class for PCovMatrix element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| PerformanceStats | The class that measures the performance of a nearest neighbour search (NNS) algorithm. | Class | weka.core.neighboursearch | Weka |
| Perspective | Interface for GUI elements that can appear as a perspective in a GUIApplication. | Interface | weka.gui | Weka |
| PerspectiveInfo | Class | weka.gui | Weka | |
| PerspectiveManager | Manages perspectives and the main menu bar (if visible), holds the currently selected perspective, and implements the perspective button bar. | Class | weka.gui | Weka |
| PKIDiscretize | Discretizes numeric attributes using equal frequency binning, where the number of bins is equal to the square root of | Class | weka.filters.unsupervised.attribute | Weka |
| PlaceNode1 | This class will place the Nodes of a tree. | Class | weka.gui.treevisualizer | Weka |
| PlaceNode2 | This class will place the Nodes of a tree. | Class | weka.gui.treevisualizer | Weka |
| PlainText | Outputs the predictions in plain text. | Class | weka.classifiers.evaluation.output.prediction | Weka |
| Plot2D | This class plots datasets in two dimensions. | Class | weka.gui.visualize | Weka |
| Plot2DCompanion | Interface for classes that need to draw to the Plot2D panel *before* Plot2D renders anything (eg. | Interface | weka.gui.visualize | Weka |
| PlotData2D | This class is a container for plottable data. | Class | weka.gui.visualize | Weka |
| PluginManager | Class that manages a global map of plugins. | Class | weka.core | Weka |
| PluginManager | Class that manages a global map of plugins. | Class | weka.gui.beans | Weka |
| PMML | Java class for PMML element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| PMMLClassifier | Abstract base class for all PMML classifiers. | Class | weka.classifiers.pmml.consumer | Weka |
| PMMLFactory | This class is a factory class for reading/writing PMML modelsVersion:$Revision: 10203 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Class | weka.core.pmml | Weka |
| PMMLModel | Interface for all PMML modelsVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Interface | weka.core.pmml | Weka |
| PMMLProducer | Interface to something that can produce a PMML representation of itself. | Interface | weka.core.pmml | Weka |
| PMMLUtils | Class | weka.core.pmml | Weka | |
| PNGWriter | This class takes any JComponent and outputs it to a PNG-file. | Class | weka.gui.visualize | Weka |
| PointsClosestToFurthestChildren | Implements the Moore's method to split a node of a For more information please see section 2 of the 1st and 3. | Class | weka.core.neighboursearch.balltrees | Weka |
| PoissonDistribution | Java class for PoissonDistribution element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| PoissonEstimator | Simple probability estimator that places a single Poisson distribution over the observed values. | Class | weka.estimators | Weka |
| PolyKernel | The polynomial kernel : K(x, y) = | Class | weka.classifiers.functions.supportVector | Weka |
| PolynomialKernelType | Java class for PolynomialKernelType element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| PostscriptGraphics | The PostscriptGraphics class extends the Graphics2D class to produce an encapsulated postscript file rather than on-screen display. | Class | weka.gui.visualize | Weka |
| PostscriptWriter | This class takes any Component and outputs it to a Postscript file. | Class | weka.gui.visualize | Weka |
| PotentialClassIgnorer | This filter should be extended by other unsupervised attribute filters to allow processing of the class attribute if that's required. | Class | weka.filters.unsupervised.attribute | Weka |
| PPCell | Java class for PPCell element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| PPMatrix | Java class for PPMatrix element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| PrecomputedKernelMatrixKernel | This kernel is based on a static kernel matrix that is read from a file. | Class | weka.classifiers.functions.supportVector | Weka |
| PreConstructedLinearModel | This class encapsulates a linear regression function. | Class | weka.classifiers.trees.m5 | Weka |
| Prediction | Encapsulates a single evaluatable prediction: the predicted value plus the actual class value. | Interface | weka.classifiers.evaluation | Weka |
| PredictionAppender | Bean that can can accept batch or incremental classifier events and produce dataset or instance events which contain instances with predictions appended. | Class | weka.gui.beans | Weka |
| PredictionAppender | Step that can produce data with predictions appended from batch or incremental classifiers and clusterers | Class | weka.knowledgeflow.steps | Weka |
| PredictionAppenderBeanInfo | Bean info class for PredictionAppender. | Class | weka.gui.beans | Weka |
| PredictionAppenderCustomizer | GUI Customizer for the prediction appender beanVersion:$Revision: 12107 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| PredictiveModelQuality | Java class for PredictiveModelQuality element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Predictor | Java class for Predictor element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| PredictorTerm | Java class for PredictorTerm element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| PreprocessPanel | This panel controls simple preprocessing of instances. | Class | weka.gui.explorer | Weka |
| Primitives | A class providing AST (abstract syntax tree) nodes to support primitive types. | Class | weka.core.expressionlanguage.common | Weka |
| PrincipalComponents | Performs a principal components analysis and transformation of the data. | Class | weka.attributeSelection | Weka |
| PrincipalComponents | Performs a principal components analysis and transformation of the data. | Class | weka.filters.unsupervised.attribute | Weka |
| PrintableComponent | This class extends the component which is handed over in the constructor by a print dialog. | Class | weka.gui.visualize | Weka |
| PrintableHandler | This interface is for all JComponent classes that provide the ability to print itself to a file. | Interface | weka.gui.visualize | Weka |
| PrintablePanel | This Panel enables the user to print the panel to various file formats. | Class | weka.gui.visualize | Weka |
| ProgrammaticProperty | Class | weka.gui | Weka | |
| PropertyDialog | Support for PropertyEditors with custom editors: puts the editor intoVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs. | Class | weka.gui | Weka |
| PropertyHandler | This class stores information about properties to ignore or properties that are allowed for a certain class. | Class | weka.core.xml | Weka |
| PropertyNode | Stores information on a property of an object: the class of the object with the property; the property descriptor, and the current value. | Class | weka.experiment | Weka |
| PropertyPanel | Support for drawing a property value in a component. | Class | weka.gui | Weka |
| PropertyPath | A helper class for accessing properties in nested objects, e. | Class | weka.core | Weka |
| PropertySelectorDialog | Allows the user to select any (supported) property of an object, including properties that any of it's property values may have. | Class | weka.gui | Weka |
| PropertySheetPanel | Displays a property sheet where (supported) properties of the target objectVersion:$Revision: 12016 $Author:Len Trigg (trigg@cs. | Class | weka.gui | Weka |
| ProtectedProperties | Simple class that extends the Properties class so that the properties are unable to be modified. | Class | weka.core | Weka |
| PruneableClassifierTree | Class for handling a tree structure that can be pruned using a pruning set. | Class | weka.classifiers.trees.j48 | Weka |
| PruneableDecList | Class for handling a partial tree structure that can be pruned using aVersion:$Revision: 10153 $Author:Eibe Frank (eibe@cs. | Class | weka.classifiers.rules.part | Weka |
| Puk | The Pearson VII function-based universal kernel. | Class | weka.classifiers.functions.supportVector | Weka |
| QRDecomposition | For an m-by-n matrix A with m >= n, the QR decomposition is an m-by-n orthogonal matrix Q and an n-by-n upper triangular matrix R so that A = Q*R. | Class | weka.core.matrix | Weka |
| Quantile | Java class for Quantile element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| QueryExecuteEvent | An event that is generated when a query is executed. | Class | weka.gui.sql.event | Weka |
| QueryExecuteListener | A listener for executing queries. | Interface | weka.gui.sql.event | Weka |
| QueryPanel | Represents a panel for entering an SQL query. | Class | weka.gui.sql | Weka |
| Queue | Class representing a FIFO queue. | Class | weka.core | Weka |
| RadialBasisKernelType | Java class for RadialBasisKernelType element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Rainbow | Stopwords list based on Rainbow: http://www. | Class | weka.core.stopwords | Weka |
| RandomCommittee | Class for building an ensemble of randomizable base classifiers. | Class | weka.classifiers.meta | Weka |
| RandomForest | Class for constructing a forest of random trees. | Class | weka.classifiers.trees | Weka |
| Randomizable | Interface to something that has random behaviour that is able to be seeded with an integer. | Interface | weka.core | Weka |
| RandomizableClassifier | Abstract utility class for handling settings common to randomizableVersion:$Revision: 10141 $Author:Eibe Frank (eibe@cs. | Class | weka.classifiers | Weka |
| RandomizableClusterer | Abstract utility class for handling settings common to randomizableVersion:$Revision: 10601 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized Form | Class | weka.clusterers | Weka |
| RandomizableDensityBasedClusterer | Abstract utility class for handling settings common to randomizableVersion:$Revision: 10203 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized Form | Class | weka.clusterers | Weka |
| RandomizableFilteredClassifier | Class for running an arbitrary classifier on data that has been passed through an arbitrary filter. | Class | weka.classifiers.meta | Weka |
| RandomizableIteratedSingleClassifierEnhancer | Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner. | Class | weka.classifiers | Weka |
| RandomizableMultipleClassifiersCombiner | Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from multiple classifiers based | Class | weka.classifiers | Weka |
| RandomizableParallelIteratedSingleClassifierEnhancer | Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble in parallel from a single base | Class | weka.classifiers | Weka |
| RandomizableParallelMultipleClassifiersCombiner | Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel using multiple | Class | weka.classifiers | Weka |
| RandomizableSingleClassifierEnhancer | Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner. | Class | weka.classifiers | Weka |
| RandomizableSingleClustererEnhancer | Abstract utility class for handling settings common to randomizableVersion:$Revision: 10203 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:Serialized Form | Class | weka.clusterers | Weka |
| Randomize | Randomly shuffles the order of instances passed through it. | Class | weka.filters.unsupervised.instance | Weka |
| RandomLiftGraph | Java class for RandomLiftGraph element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| 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. | Class | weka.filters.unsupervised.attribute | Weka |
| RandomRBF | RandomRBF data is generated by first creating a random set of centers for each class. | Class | weka.datagenerators.classifiers.classification | Weka |
| RandomSplitResultProducer | Generates a single train/test split and calls the appropriate SplitEvaluator to generate some results. | Class | weka.experiment | Weka |
| RandomSubset | Chooses a random subset of attributes, either an absolute number or a percentage. | Class | weka.filters.unsupervised.attribute | Weka |
| 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. | Class | weka.classifiers.meta | Weka |
| RandomTree | Class for constructing a tree that considers K randomly chosen attributes at each node. | Class | weka.classifiers.trees | Weka |
| RandomVariates | Class implementing some simple random variates generator. | Class | weka.core | Weka |
| Range | Class representing a range of cardinal numbers. | Class | weka.core | Weka |
| RankedOutputSearch | Interface for search methods capable of producing a ranked list of attributes. | Interface | weka.attributeSelection | Weka |
| Ranker | Ranks attributes by their individual evaluations. | Class | weka.attributeSelection | Weka |
| RBFKernel | The RBF kernel. | Class | weka.classifiers.functions.supportVector | Weka |
| RDG1 | A data generator that produces data randomly by producing a decision list. | Class | weka.datagenerators.classifiers.classification | Weka |
| ReaderToTextPane | A class that sends all lines from a reader to a JTextPane component. | Class | weka.gui | Weka |
| REALSparseArray | Java class for REAL-SparseArray element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| RegExpFromFile | Uses the regular expressions stored in the file for determining whether a word is a stopword (ignored if pointing to a directory). | Class | weka.core.stopwords | Weka |
| RegOptimizer | Base class implementation for learning algorithm of SMOreg Valid options are: | Class | weka.classifiers.functions.supportVector | Weka |
| Regression | Class implementing import of PMML Regression model. | Class | weka.classifiers.pmml.consumer | Weka |
| Regression | Java class for Regression element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| RegressionAnalysis | Analyzes linear regression model by using the Student's t-test on each coefficient. | Class | weka.classifiers.evaluation | Weka |
| RegressionByDiscretization | A regression scheme that employs any classifier on a copy of the data that has the class attribute (equal-width) discretized. | Class | weka.classifiers.meta | Weka |
| RegressionGenerator | Abstract class for data generators for regression classifiers. | Class | weka.datagenerators | Weka |
| RegressionModel | Java class for RegressionModel element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| REGRESSIONNORMALIZATIONMETHOD | enum REGRESSIONNORMALIZATIONMETHODJava class for REGRESSIONNORMALIZATIONMETHOD. | Class | weka.core.pmml.jaxbbindings | Weka |
| RegressionSplitEvaluator | A SplitEvaluator that produces results for a classification scheme on a numeric class attribute. | Class | weka.experiment | Weka |
| RegressionTable | Java class for RegressionTable element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| RegSMO | Implementation of SMO for support vector regression A. | Class | weka.classifiers.functions.supportVector | Weka |
| RegSMOImproved | Learn SVM for regression using SMO with Shevade, Keerthi, et al. | Class | weka.classifiers.functions.supportVector | Weka |
| RelationalAttributeInfo | Stores information for relational attributes. | Class | weka.core | Weka |
| RelationalLocator | This class locates and records the indices of relational attributes,Version:$Revision: 12038 $Author:fracpete (fracpete at waikato dot ac dot nz)See Also:Attribute. | Class | weka.core | Weka |
| ReliefFAttributeEval | ReliefFAttributeEval : Evaluates the worth of an attribute by repeatedly sampling an instance and | Class | weka.attributeSelection | Weka |
| RemoteBoundaryVisualizerSubTask | Class that encapsulates a sub task for distributed boundary visualization. | Class | weka.gui.boundaryvisualizer | Weka |
| RemoteEngine | A general purpose server for executing Task objects sent via RMI. | Class | weka.experiment | Weka |
| RemoteExperiment | Holds all the necessary configuration information for a distributed experiment. | Class | weka.experiment | Weka |
| RemoteExperimentEvent | Class encapsulating information on progress of a remote experimentVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs. | Class | weka.experiment | Weka |
| RemoteExperimentListener | Interface for classes that want to listen for updates on RemoteExperimentVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs. | Interface | weka.experiment | Weka |
| RemoteExperimentSubTask | Class to encapsulate an experiment as a task that can be executed on a remoteVersion:$Revision: 10204 $Author:Mark Hall (mhall@cs. | Class | weka.experiment | Weka |
| RemoteResult | Class that encapsulates a result (and progress info) for part of a distributed boundary visualization. | Class | weka.gui.boundaryvisualizer | Weka |
| Remove | An filter that removes a range of attributes from the dataset. | Class | weka.filters.unsupervised.attribute | Weka |
| RemoveByName | Removes attributes based on a regular expression matched against their names. | Class | weka.filters.unsupervised.attribute | Weka |
| RemoveDuplicates | Removes all duplicate instances from the first batch of data it receives. | Class | weka.filters.unsupervised.instance | Weka |
| RemoveFolds | This filter takes a dataset and outputs a specified fold for cross validation. | Class | weka.filters.unsupervised.instance | Weka |
| RemoveFrequentValues | Determines which values (frequent or infrequent ones) of an (nominal) attribute are retained and filters the instances | Class | weka.filters.unsupervised.instance | Weka |
| RemoveMisclassified | A filter that removes instances which are incorrectly classified. | Class | weka.filters.unsupervised.instance | Weka |
| RemovePercentage | A filter that removes a given percentage of a Valid options are: | Class | weka.filters.unsupervised.instance | Weka |
| RemoveRange | A filter that removes a given range of instances of Valid options are: | Class | weka.filters.unsupervised.instance | Weka |
| RemoveType | Removes attributes of a given type. | Class | weka.filters.unsupervised.attribute | Weka |
| RemoveUseless | This filter removes attributes that do not vary at all or that vary too much. | Class | weka.filters.unsupervised.attribute | Weka |
| RemoveWithValues | Filters instances according to the value of an Valid options are: | Class | weka.filters.unsupervised.instance | Weka |
| RenameAttribute | This filter is used for renaming attribute names. | Class | weka.filters.unsupervised.attribute | Weka |
| RenameNominalValues | Renames the values of nominal attributes. | Class | weka.filters.unsupervised.attribute | Weka |
| Reorder | A filter that generates output with a new order of the attributes. | Class | weka.filters.unsupervised.attribute | Weka |
| RepeatedHillClimber | This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and | Class | weka.classifiers.bayes.net.search.global | Weka |
| RepeatedHillClimber | This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and | Class | weka.classifiers.bayes.net.search.local | Weka |
| ReplaceMissingValues | Replaces all missing values for nominal and numeric attributes in a dataset with the modes and means from the training data. | Class | weka.filters.unsupervised.attribute | Weka |
| ReplaceMissingWithUserConstant | Replaces all missing values for nominal, string, numeric and date attributes in the dataset with user-supplied constant | Class | weka.filters.unsupervised.attribute | Weka |
| ReplaceWithMissingValue | A filter that can be used to introduce missing values in a dataset. | Class | weka.filters.unsupervised.attribute | Weka |
| RepositoryIndexGenerator | Class for generating html index files and supporting text files for a Weka package meta data repository. | Class | weka.core | Weka |
| REPTree | Fast decision tree learner. | Class | weka.classifiers.trees | Weka |
| Resample | Produces a random subsample of a dataset using either sampling with replacement or without replacement. | Class | weka.filters.supervised.instance | Weka |
| Resample | Produces a random subsample of a dataset using either sampling with replacement or without replacement. | Class | weka.filters.unsupervised.instance | Weka |
| ResampleUtils | Helper class for resampling. | Class | weka.core | Weka |
| ReservoirSample | Produces a random subsample of a dataset using the reservoir sampling Algorithm "R" by Vitter. | Class | weka.filters.unsupervised.instance | Weka |
| ResidualModelSelection | Helper class for logistic model trees (weka. | Class | weka.classifiers.trees.lmt | Weka |
| ResidualSplit | Helper class for logistic model trees (weka. | Class | weka.classifiers.trees.lmt | Weka |
| ResultChangedEvent | An event that is generated when a different Result is activated in theVersion:$Revision: 8034 $Author:FracPete (fracpete at waikato dot ac dot nz)See Also:ResultChangedListener, | Class | weka.gui.sql.event | Weka |
| ResultChangedListener | A listener that is notified if another Result is activated in theVersion:$Revision: 8034 $Author:FracPete (fracpete at waikato dot ac dot nz) | Interface | weka.gui.sql.event | Weka |
| RESULTFEATURE | Java class for RESULT-FEATURE. | Class | weka.core.pmml.jaxbbindings | Weka |
| ResultField | Java class for ResultField element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ResultHistoryPanel | A component that accepts named stringbuffers and displays the name in a list box. | Class | weka.gui | Weka |
| ResultListener | Interface for objects able to listen for results obtained by a ResultProducer | Interface | weka.experiment | Weka |
| ResultMatrix | This matrix is a container for the datasets and classifier setups and their statistics. | Class | weka.experiment | Weka |
| ResultMatrixCSV | Generates the matrix in CSV ('comma-separated values') format. | Class | weka.experiment | Weka |
| ResultMatrixGnuPlot | Generates output for a data and script file for GnuPlot. | Class | weka.experiment | Weka |
| ResultMatrixHTML | Generates the matrix output as HTML. | Class | weka.experiment | Weka |
| ResultMatrixLatex | Generates the matrix output in LaTeX-syntax. | Class | weka.experiment | Weka |
| ResultMatrixPlainText | Generates the output as plain text (for fixed width Valid options are: | Class | weka.experiment | Weka |
| ResultMatrixSignificance | Only outputs the significance indicators. | Class | weka.experiment | Weka |
| ResultPanel | Represents a panel for displaying the results of a query in table format. | Class | weka.gui.sql | Weka |
| ResultProducer | This interface defines the methods required for an object that produces results for different randomizations of a dataset. | Interface | weka.experiment | Weka |
| ResultSetHelper | Represents an extended JTable, containing a table model based on a ResultSet and the corresponding query. | Class | weka.gui.sql | Weka |
| ResultSetTable | Represents an extended JTable, containing a table model based on a ResultSet and the corresponding query. | Class | weka.gui.sql | Weka |
| ResultSetTableCellRenderer | Handles the background colors for missing values differently than the DefaultTableCellRenderer. | Class | weka.gui.sql | Weka |
| ResultSetTableModel | The model for an SQL ResultSet. | Class | weka.gui.sql | Weka |
| ResultsPanel | This panel controls simple analysis of experimental results. | Class | weka.gui.experiment | Weka |
| RevisionHandler | For classes that should return their source control revision. | Interface | weka.core | Weka |
| RevisionUtils | Contains utility functions for handling revisions. | Class | weka.core | Weka |
| ROC | Java class for ROC element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ROCGraph | Java class for ROCGraph element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Row | Java class for row element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Rule | Abstract class of generic ruleVersion:$Revision: 8034 $Author:Xin Xu (xx5@cs. | Class | weka.classifiers.rules | Weka |
| Rule | Generates a single m5 tree or ruleVersion:$Revision: 10169 $Author:Mark HallSee Also:Serialized Form | Class | weka.classifiers.trees.m5 | Weka |
| RULEFEATURE | Java class for RULE-FEATURE. | Class | weka.core.pmml.jaxbbindings | Weka |
| RuleNode | Constructs a node for use in an m5 tree or ruleVersion:$Revision: 10283 $Author:Mark Hall (mhall@cs. | Class | weka.classifiers.trees.m5 | Weka |
| RuleSelectionMethod | Java class for RuleSelectionMethod element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| RuleSet | Java class for RuleSet element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| RuleSetModel | Class implementing import of PMML RuleSetModel. | Class | weka.classifiers.pmml.consumer | Weka |
| RuleSetModel | Java class for RuleSetModel element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| RuleStats | This class implements the statistics functions used in the propositional rule learner, from the simpler ones like count of true/false positive/negatives, | Class | weka.classifiers.rules | Weka |
| Run | Helper class that executes Weka schemes from the command line. | Class | weka | Weka |
| RunNumberPanel | This panel controls configuration of lower and upper run numbersVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs. | Class | weka.gui.experiment | Weka |
| RunPanel | This panel controls the running of an experiment. | Class | weka.gui.experiment | Weka |
| SaveBuffer | This class handles the saving of StringBuffers to files. | Class | weka.gui | Weka |
| Saver | Interface to something that can save Instances to an output destination in someVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs. | Interface | weka.core.converters | Weka |
| Saver | Saves data sets using weka. | Class | weka.gui.beans | Weka |
| Saver | Step that wraps weka. | Class | weka.knowledgeflow.steps | Weka |
| SaverBeanInfo | Bean info class for the saver beanVersion:$Revision: 8034 $Author:Stefan Mutter | Class | weka.gui.beans | Weka |
| SaverCustomizer | GUI Customizer for the saver beanVersion:$Revision: 8034 $Author:Stefan MutterSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| SaverStepEditorDialog | Editor dialog for the saver stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| Scanner | A lexical scanner for an expression language. | Class | weka.core.expressionlanguage.parser | Weka |
| Scanner | A scanner for JSON data files. | Class | weka.core.json | Weka |
| ScatterPlotMatrix | Bean that encapsulates weka. | Class | weka.gui.beans | Weka |
| ScatterPlotMatrix | Step that collects data for display in a scatter plot matrix. | Class | weka.knowledgeflow.steps | Weka |
| ScatterPlotMatrixBeanInfo | Bean info class for the scatter plot matrix beanVersion:$Revision: 8034 $Author:Mark Hall | Class | weka.gui.beans | Weka |
| ScatterPlotMatrixInteractiveView | Interactive viewer for the ScatterPlotMatrix stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| ScatterPlotMatrixPerspective | Knowledge Flow perspective for the scatter plot matrixVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow | Weka |
| Scoreable | Interface for allowing to score a classifierVersion:$Revision: 8034 $Author:Remco Bouckaert (rrb@xm. | Interface | weka.classifiers.bayes.net.search.local | Weka |
| Scorecard | Java class for Scorecard element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ScoreDistribution | Java class for ScoreDistribution element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| ScriptExecutionEvent | Event that gets sent when a script is executed. | Class | weka.gui.scripting.event | Weka |
| ScriptExecutionListener | For classes that want to be notified about changes in the script execution. | Interface | weka.gui.scripting.event | Weka |
| ScriptingPanel | Abstract ancestor for scripting panels. | Class | weka.gui.scripting | Weka |
| ScriptUtils | A helper class for Script related stuff. | Class | weka.gui.scripting | Weka |
| SearchAlgorithm | This is the base class for all search algorithms for learning Bayes networks. | Class | weka.classifiers.bayes.net.search | Weka |
| SeasonalityExpoSmooth | Java class for Seasonality_ExpoSmooth element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Segment | Java class for Segment element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Segmentation | Java class for Segmentation element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| SelectedTag | Represents a selected value from a finite set of values, where each value is a Tag (i. | Class | weka.core | Weka |
| SelectedTagEditor | A PropertyEditor that uses tags, where the tags are obtained from a weka. | Class | weka.gui | Weka |
| SemanticException | An exception that should be used if a program doesn't have valid semanticsVersion:$Revision: 1000 $Author:Benjamin Weber ( benweber at student dot ethz dot ch )See Also:Serialized Form | Class | weka.core.expressionlanguage.core | Weka |
| Sequence | Java class for Sequence element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| SequenceModel | Java class for SequenceModel element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| SequenceReference | Java class for SequenceReference element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| SequenceRule | Java class for SequenceRule element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| SerialInstanceListener | Defines an interface for objects able to produce two output streams ofVersion:$Revision: 8034 $Author:Len Trigg (trigg@cs. | Interface | weka.gui.streams | Weka |
| SerializationHelper | A helper class for determining serialVersionUIDs and checking whether classes contain one and/or need one. | Class | weka.core | Weka |
| SerializedClassifier | A wrapper around a serialized classifier model. | Class | weka.classifiers.misc | Weka |
| SerializedInstancesLoader | Reads a source that contains serialized Instances. | Class | weka.core.converters | Weka |
| SerializedInstancesSaver | Serializes the instances to a file with extension bsi. | Class | weka.core.converters | Weka |
| SerializedModelSaver | A bean that saves serialized modelsVersion:$Revision: 11077 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}orgSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| SerializedModelSaver | Step that can save models encapsulated in incoming Data objects toVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.knowledgeflow.steps | Weka |
| SerializedModelSaverBeanInfo | Bean info class for the serialized model saver beanVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}org | Class | weka.gui.beans | Weka |
| SerializedModelSaverCustomizer | GUI Customizer for the SerializedModelSaver beanVersion:$Revision: 11076 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}orgSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| SerializedObject | Class for storing an object in serialized form in memory. | Class | weka.core | Weka |
| SerialUIDChanger | This class enables one to change the UID of a serialized object and therefore not losing the data stored in the binary format. | Class | weka.core.xml | Weka |
| SetInstancesPanel | A panel that displays an instance summary for a set of instances and lets the user open a set of instances from either a file or URL. | Class | weka.gui | Weka |
| SetPredicate | Java class for SetPredicate element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| SetReference | Java class for SetReference element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Settings | Maintains a collection of settings. | Class | weka.core | Weka |
| SettingsEditor | Provides a panel for editing application and perspective settingsVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui | Weka |
| SetupModePanel | This panel switches between simple and advanced experiment setup panels. | Class | weka.gui.experiment | Weka |
| SetupPanel | This panel controls the configuration of an experiment. | Class | weka.gui.experiment | Weka |
| SetVariables | Step that can be used to set the values of environment variables for the flow being executed. | Class | weka.knowledgeflow.steps | Weka |
| SetVariablesStepEditorDialog | Editor dialog for the SetVariables stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| SGD | Implements stochastic gradient descent for learning various linear models (binary class SVM, binary class logistic regression, squared loss, Huber loss and epsilon-insensitive loss linear regression). | Class | weka.classifiers.functions | Weka |
| SGDText | Implements stochastic gradient descent for learning a linear binary class SVM or binary class logistic regression on text data. | Class | weka.classifiers.functions | Weka |
| ShadowBorder | Class | weka.gui.beans | Weka | |
| ShadowBorder | Border implementation that provides a drop shadowVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow | Weka |
| SigmoidKernelType | Java class for SigmoidKernelType element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| SigmoidUnit | This can be used by the neuralnode to perform all it's computations (as a sigmoid unit). | Class | weka.classifiers.functions.neural | Weka |
| SimpleBatchFilter | This filter is a superclass for simple batch filters. | Class | weka.filters | Weka |
| SimpleCLI | Creates a very simple command line for invoking the main method of classes. | Class | weka.gui | Weka |
| SimpleCLIPanel | Creates a very simple command line for invoking the main method of classes. | Class | weka.gui | Weka |
| SimpleDateFormatEditor | Class for editing SimpleDateFormat strings. | Class | weka.gui | Weka |
| SimpleEstimator | SimpleEstimator is used for estimating the conditional probability tables of a Bayes network once the structure has been | Class | weka.classifiers.bayes.net.estimate | Weka |
| SimpleFilter | This filter contains common behavior of the SimpleBatchFilter and the SimpleStreamFilter. | Class | weka.filters | Weka |
| SimpleKMeans | Cluster data using the k means algorithm. | Class | weka.clusterers | Weka |
| SimpleLinearRegression | Learns a simple linear regression model. | Class | weka.classifiers.functions | Weka |
| SimpleLinearRegression | Stripped down version of SimpleLinearRegression. | Class | weka.classifiers.trees.lmt | Weka |
| SimpleLogistic | Classifier for building linear logistic regression models. | Class | weka.classifiers.functions | Weka |
| SimpleMatching | Java class for simpleMatching element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| SimplePredicate | Java class for SimplePredicate element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| SimpleRule | Java class for SimpleRule element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| SimpleSetPredicate | Java class for SimpleSetPredicate element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| SimpleSetupPanel | This panel controls the configuration of an experiment. | Class | weka.gui.experiment | Weka |
| SimpleStreamFilter | This filter is a superclass for simple stream filters. | Class | weka.filters | Weka |
| SimpleVariableDeclarations | A set of customizable variable declarations for primitive types. | Class | weka.core.expressionlanguage.common | Weka |
| SimulatedAnnealing | This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring | Class | weka.classifiers.bayes.net.search.global | Weka |
| SimulatedAnnealing | This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring | Class | weka.classifiers.bayes.net.search.local | Weka |
| SingleAssociatorEnhancer | Abstract utility class for handling settings common to meta associators that use a single base associator. | Class | weka.associations | Weka |
| SingleClassifierEnhancer | Abstract utility class for handling settings common to meta classifiers that use a single base learner. | Class | weka.classifiers | Weka |
| SingleClustererEnhancer | Meta-clusterer for enhancing a base clusterer. | Class | weka.clusterers | Weka |
| SingleIndex | Class representing a single cardinal number. | Class | weka.core | Weka |
| SingularValueDecomposition | Singular Value Decomposition. | Class | weka.core.matrix | Weka |
| 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. | Class | weka.core.neighboursearch.kdtrees | Weka |
| SMO | Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier. | Class | weka.classifiers.functions | Weka |
| SMOreg | SMOreg implements the support vector machine for regression. | Class | weka.classifiers.functions | Weka |
| SMOset | Stores a set of integer of a given size. | Class | weka.classifiers.functions.supportVector | Weka |
| SnowballStemmer | A wrapper class for the Snowball stemmers. | Class | weka.core.stemmers | Weka |
| SortedTableModel | Represents a TableModel with sorting functionality. | Class | weka.gui | Weka |
| Sorter | Sorts incoming instances in ascending or descending order according to the values of user specified attributes. | Class | weka.gui.beans | Weka |
| Sorter | Step for sorting instances according to one or more attributes. | Class | weka.knowledgeflow.steps | Weka |
| SorterBeanInfo | BeanInfo class for the Sorter stepVersion:$Revision: 8051 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Class | weka.gui.beans | Weka |
| SorterCustomizer | Customizer for the Sorter stepVersion:$Revision: 8051 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.beans | Weka |
| SorterStepEditorDialog | Step editor dialog for the Sorter stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| SortLabels | A simple filter for sorting the labels of nominal Valid options are: | Class | weka.filters.unsupervised.attribute | Weka |
| Sourcable | Interface for classifiers that can be converted to Java source. | Interface | weka.classifiers | Weka |
| Sourcable | Interface for filters that can be converted to Java source. | Interface | weka.filters | Weka |
| SparseArray | Class | weka.core.pmml | Weka | |
| SparseInstance | Class for storing an instance as a sparse vector. | Class | weka.core | Weka |
| SparseToNonSparse | An instance filter that converts all incoming sparse instances into non-sparse format. | Class | weka.filters.unsupervised.instance | Weka |
| SpecialFunctions | Class implementing some mathematical functions. | Class | weka.core | Weka |
| SplashWindow | Usage: MyApplication is your application class. | Class | weka.gui | Weka |
| Split | Base class for different split typesVersion:$Revision: 10531 $Author:Richard Kirkby (rkirkby@cs. | Class | weka.classifiers.trees.ht | Weka |
| SplitCandidate | Encapsulates a candidate splitVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs. | Class | weka.classifiers.trees.ht | Weka |
| SplitCriterion | Abstract class for computing splitting criteria with respect to distributions of class values. | Class | weka.classifiers.trees.j48 | Weka |
| SplitEvaluate | Interface for objects that determine a split point on an attributeVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs. | Interface | weka.classifiers.trees.m5 | Weka |
| SplitEvaluator | Interface to objects able to generate a fixed set of results for a particular split of a dataset. | Interface | weka.experiment | Weka |
| SplitMetric | Base class for split metricsVersion:$Revision: 9720 $Author:Richard Kirkby (rkirkby@cs. | Class | weka.classifiers.trees.ht | Weka |
| SplitNode | Class for a node that splits the data in a Hoeffding treeVersion:$Revision: 10169 $Author:Richard Kirkby (rkirkby@cs. | Class | weka.classifiers.trees.ht | Weka |
| SpreadSubsample | Produces a random subsample of a dataset. | Class | weka.filters.supervised.instance | Weka |
| SqlViewer | Represents a little tool for querying SQL databases. | Class | weka.gui.sql | Weka |
| SqlViewerDialog | A little dialog containing the SqlViewer. | Class | weka.gui.sql | Weka |
| SQLViewerPerspective | Simple Knowledge Flow perspective that wraps the SqlViewer classVersion:$Revision: 11286 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.beans | Weka |
| SQLViewerPerspective | Perspective that wraps the {@code SQLViewer) componentVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow | Weka |
| SquaredEuclidean | Java class for squaredEuclidean element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Stack | Class implementing a stack. | Class | weka.core.neighboursearch.covertrees | Weka |
| Stacking | Combines several classifiers using the stacking method. | Class | weka.classifiers.meta | Weka |
| StandardEvaluationMetric | Primarily a marker interface for a "standard" evaluation metric - i. | Interface | weka.classifiers.evaluation | Weka |
| Standardize | Standardizes all numeric attributes in the given dataset to have zero mean and unit variance (apart from the class attribute, if set). | Class | weka.filters.unsupervised.attribute | Weka |
| Startable | Interface to something that is a start point for a flow and can be launched programatically. | Interface | weka.gui.beans | Weka |
| StartSetHandler | Interface for search methods capable of doing something sensible given a starting set of attributes. | Interface | weka.attributeSelection | Weka |
| StartUpListener | Interface to something that can be notified of a successful startupVersion:$Revision: 8034 $Author:Mark Hall | Interface | weka.gui.beans | Weka |
| Statistics | Class implementing some distributions, tests, etc. | Class | weka.core | Weka |
| Stats | Class implementing a statistical routine needed by J48 to compute its error estimate. | Class | weka.classifiers.trees.j48 | Weka |
| Stats | A class to store simple statistics. | Class | weka.experiment | Weka |
| StatsHelper | A helper class to expose a Stats object to a program Exposes the following variables that correspond to Stats' fields: | Class | weka.core.expressionlanguage.weka | Weka |
| Stemmer | Interface for all stemming algorithms. | Interface | weka.core.stemmers | Weka |
| Stemming | A helper class for using the stemmers. | Class | weka.core.stemmers | Weka |
| Step | Client API for Knowledge Flow steps. | Interface | weka.knowledgeflow.steps | Weka |
| StepEditorDialog | Base class for step editor dialogs. | Class | weka.gui.knowledgeflow | Weka |
| StepInjectorFlowRunner | A flow runner that runs a flow by injecting data into a target stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Class | weka.knowledgeflow | Weka |
| StepInteractiveViewer | Interface for GUI interactive viewer components that can be popped up from the contextual menu in the Knowledge Flow that appears when you right-click | Interface | weka.gui.knowledgeflow | Weka |
| StepManager | Client public interface for the StepManager. | Interface | weka.knowledgeflow | Weka |
| StepManagerImpl | Concrete implementation of the StepManager interface. | Class | weka.knowledgeflow | Weka |
| StepOutputListener | Inteface to something that listens to the output from a StepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Interface | weka.knowledgeflow | Weka |
| StepTask | A task that can be executed by the ExecutionEnvironment's submitTask() service. | Class | weka.knowledgeflow | Weka |
| StepTaskCallback | Callback that Steps can use when executing StepTasks via EnvironmentManager. | Interface | weka.knowledgeflow | Weka |
| StepTree | Subclass of JTree for displaying available steps. | Class | weka.gui.knowledgeflow | Weka |
| StepTreeIgnore | Class | weka.gui.knowledgeflow | Weka | |
| StepTreeLeafDetails | Maintains information about a step in the StepTree - e. | Class | weka.gui.knowledgeflow | Weka |
| StepVisual | Class for managing the appearance of a step in the GUI Knowledge FlowVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow | Weka |
| Stopwords | Class that can test whether a given string is a stop word. | Class | weka.core | Weka |
| StopwordsHandler | Interface for classes that support stopword handling. | Interface | weka.core.stopwords | Weka |
| StratifiedRemoveFolds | This filter takes a dataset and outputs a specified fold for cross validation. | Class | weka.filters.supervised.instance | Weka |
| StreamableFilter | Interface | weka.filters | Weka | |
| StreamThroughput | Class for measuring throughput of an incremental Knowledge Flow step. | Class | weka.gui.beans | Weka |
| StreamTokenizerUtils | Helper class for using stream tokenizersVersion:$Revision: 9284 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.core.converters | Weka |
| StringLocator | This class locates and records the indices of String attributes, recursively in case of Relational attributes. | Class | weka.core | Weka |
| StringToNominal | Converts a range of string attributes (unspecified number of values) to nominal (set number of values). | Class | weka.filters.unsupervised.attribute | Weka |
| StringToWordVector | Converts String attributes into a set of attributes representing word occurrence (depending on the tokenizer) information from the text contained in the strings. | Class | weka.filters.unsupervised.attribute | Weka |
| StripChart | Bean that can display a horizontally scrolling strip chart. | Class | weka.gui.beans | Weka |
| StripChart | A step that can display a viewer showing a right-to-left scrolling chartVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.knowledgeflow.steps | Weka |
| StripChartBeanInfo | Bean info class for the strip chart beanVersion:$Revision: 12008 $Author:Mark Hall | Class | weka.gui.beans | Weka |
| StripChartCustomizer | GUI Customizer for the strip chart beanVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| StripChartInteractiveView | Class | weka.gui.knowledgeflow.steps | Weka | |
| StructureProducer | Interface for something that can describe the structure of what is encapsulated in a named event type as an empty set of | Interface | weka.gui.beans | Weka |
| SubsetByExpression | Filters instances according to a user-specified expression. | Class | weka.filters.unsupervised.instance | Weka |
| SubsetEvaluator | Interface for attribute subset evaluators. | Interface | weka.attributeSelection | Weka |
| SubspaceCluster | A data generator that produces data points in hyperrectangular subspace clusters. | Class | weka.datagenerators.clusterers | Weka |
| SubspaceClusterDefinition | A single cluster for the SubspaceCluster Valid options are: | Class | weka.datagenerators.clusterers | Weka |
| SubstringLabeler | A bean that finds matches in string attribute values (using either substring or regular expression matches) and labels the instance (sets the value of a | Class | weka.gui.beans | Weka |
| SubstringLabeler | Step that appends a label to incoming instances according to substring matches in string attributes. | Class | weka.knowledgeflow.steps | Weka |
| SubstringLabelerBeanInfo | Bean info class for the substring labeler beanVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Class | weka.gui.beans | Weka |
| SubstringLabelerCustomizer | Customizer class for the Substring labeler stepVersion:$Revision: 10383 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.beans | Weka |
| SubstringLabelerRules | Manages a list of match rules for labeling strings. | Class | weka.gui.beans | Weka |
| SubstringLabelerStepEditorDialog | Step editor dialog for the SubstringLabeler stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| SubstringReplacer | A bean that can replace substrings in the values of string attributes. | Class | weka.gui.beans | Weka |
| SubstringReplacer | A step that can replace sub-strings in the values of string attributes. | Class | weka.knowledgeflow.steps | Weka |
| SubstringReplacerBeanInfo | Bean info class for the substring replacerVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Class | weka.gui.beans | Weka |
| SubstringReplacerCustomizer | Customizer for the SubstringReplacerVersion:$Revision: 10383 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.beans | Weka |
| SubstringReplacerRules | Manages a list of match and replace rules for replacing values in stringVersion:$Revision: 11968 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.beans | Weka |
| SubstringReplacerStepEditorDialog | Step editor dialog for the SubstringReplacer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| Summarizable | Interface to something that provides a short textual summary (as opposed to toString() which is usually a fairly complete description) of itself. | Interface | weka.core | Weka |
| SupervisedFilter | Interface | weka.filters | Weka | |
| SupportVector | Java class for SupportVector element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| SupportVectorMachine | Java class for SupportVectorMachine element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| SupportVectorMachineModel | Class | weka.classifiers.pmml.consumer | Weka | |
| SupportVectorMachineModel | Java class for SupportVectorMachineModel element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| SupportVectors | Java class for SupportVectors element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| SVMCLASSIFICATIONMETHOD | enum SVMCLASSIFICATIONMETHODJava class for SVM-CLASSIFICATION-METHOD. | Class | weka.core.pmml.jaxbbindings | Weka |
| SVMLightLoader | Reads a source that is in svm light format. | Class | weka.core.converters | Weka |
| SVMLightSaver | Writes to a destination that is in svm light For more information about svm light see: | Class | weka.core.converters | Weka |
| SVMREPRESENTATION | enum SVMREPRESENTATIONJava class for SVM-REPRESENTATION. | Class | weka.core.pmml.jaxbbindings | Weka |
| SwapValues | Swaps two values of a nominal attribute. | Class | weka.filters.unsupervised.attribute | Weka |
| sym | CUP generated interface containing symbol constants. | Interface | weka.core.expressionlanguage.parser | Weka |
| sym | CUP generated interface containing symbol constants. | Interface | weka.core.json | Weka |
| SymmetricalUncertAttributeEval | SymmetricalUncertAttributeEval : Evaluates the worth of an attribute by measuring the symmetrical uncertainty | Class | weka.attributeSelection | Weka |
| SyntaxDocument | Highlights syntax in a DefaultStyledDocument. | Class | weka.gui.scripting | Weka |
| SyntaxException | An exception to represent an invalid syntax of a programVersion:$Revision: 1000 $Author:Benjamin Weber ( benweber at student dot ethz dot ch )See Also:Serialized Form | Class | weka.core.expressionlanguage.core | Weka |
| SysErrLog | This Logger just sends messages to System. | Class | weka.gui | Weka |
| SystemInfo | This class prints some information about the system setup, like Java version, JVM settings etc. | Class | weka.core | Weka |
| TableLocator | Java class for TableLocator element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TabuSearch | This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure. | Class | weka.classifiers.bayes.net.search.global | Weka |
| TabuSearch | This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure. | Class | weka.classifiers.bayes.net.search.local | Weka |
| Tag | A Tag simply associates a numeric ID with a String description. | Class | weka.core | Weka |
| TAN | This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented | Class | weka.classifiers.bayes.net.search.global | Weka |
| TAN | This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented | Class | weka.classifiers.bayes.net.search.local | Weka |
| Tanimoto | Java class for tanimoto element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Target | Java class for Target element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TargetMetaInfo | Class to encapsulate information about a Target. | Class | weka.core.pmml | Weka |
| Targets | Java class for Targets element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TargetValue | Java class for TargetValue element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TargetValueCount | Java class for TargetValueCount element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TargetValueCounts | Java class for TargetValueCounts element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Task | Interface to something that can be remotely executed as a task. | Interface | weka.experiment | Weka |
| TaskLogger | Interface for objects that display log and display information onVersion:$Revision: 8034 $Author:Mark Hall (mhall@cs. | Interface | weka.gui | Weka |
| TaskStatusInfo | A class holding information for tasks being executed on RemoteEngines. | Class | weka.experiment | Weka |
| Taxonomy | Java class for Taxonomy element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TechnicalInformation | Used for paper references in the Javadoc and for BibTex generation. | Class | weka.core | Weka |
| TechnicalInformationHandler | For classes that are based on some kind of publications. | Interface | weka.core | Weka |
| TechnicalInformationHandlerJavadoc | Generates Javadoc comments from the TechnicalInformationHandler's data. | Class | weka.core | Weka |
| Tee | This class pipelines print/println's to several PrintStreams. | Class | weka.core | Weka |
| TemplateManager | Manages all things template-relatedVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Class | weka.gui.knowledgeflow | Weka |
| Test | Class to represent a test. | Class | weka.datagenerators | Weka |
| TestDistributions | Java class for TestDistributions element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Tester | Interface for different kinds of Testers in the Experimenter. | Interface | weka.experiment | Weka |
| TestInstances | Generates artificial datasets for testing. | Class | weka.core | Weka |
| TestSetEvent | Event encapsulating a test setVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| TestSetListener | Interface to something that can accpet test set eventsVersion:$Revision: 8034 $Author:Mark Hall | Interface | weka.gui.beans | Weka |
| TestSetMaker | Bean that accepts data sets and produces test setsVersion:$Revision: 10216 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| TestSetMaker | A step that makes an incoming dataSet or trainingSet into a testSet. | Class | weka.knowledgeflow.steps | Weka |
| TestSetMakerBeanInfo | Bean info class for the test set maker bean. | Class | weka.gui.beans | Weka |
| TestSetProducer | Interface to something that can produce test setsVersion:$Revision: 8034 $Author:Mark Hall | Interface | weka.gui.beans | Weka |
| TextCorpus | Java class for TextCorpus element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TextDictionary | Java class for TextDictionary element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TextDirectoryLoader | Loads all text files in a directory and uses the subdirectory names as class labels. | Class | weka.core.converters | Weka |
| TextDocument | Java class for TextDocument element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TextEvent | Event that encapsulates some textual informationVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| TextListener | Interface to something that can process a TextEventSince:1. | Interface | weka.gui.beans | Weka |
| TextModel | Java class for TextModel element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TextModelNormalization | Java class for TextModelNormalization element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TextModelSimiliarity | Java class for TextModelSimiliarity element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TextSaver | Simple component to save the text carried in text events out to a fileVersion:$Revision: 9250 $Author:thuvh (thuvh87{[at]}gmail{[dot]}com), Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.beans | Weka |
| TextSaver | Step for saving textual data to a file. | Class | weka.knowledgeflow.steps | Weka |
| TextSaverBeanInfo | Bean info class for the serialized model saver beanVersion:$Revision: 9238 $Author:(thuvh87{[at]}gmail{[dot]}com), Mark Hall (mhall{[at]}pentaho{[dot]}com) | Class | weka.gui.beans | Weka |
| TextSaverCustomizer | Customizer for the TextSaver component. | Class | weka.gui.beans | Weka |
| TextViewer | Bean that collects and displays pieces of textVersion:$Revision: 10815 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| TextViewer | A step for collecting and viewing textual dataVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.knowledgeflow.steps | Weka |
| TextViewerBeanInfo | Bean info class for the text viewerVersion:$Revision: 8034 $Author:Mark Hall | Class | weka.gui.beans | Weka |
| TextViewerInteractiveView | Interactive viewer for the TextViewer stepVersion:$Revision: $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.gui.knowledgeflow.steps | Weka |
| ThreadSafe | Interface | weka.core | Weka | |
| ThresholdCurve | Generates points illustrating prediction tradeoffs that can be obtained by varying the threshold value between classes. | Class | weka.classifiers.evaluation | Weka |
| ThresholdDataEvent | Event encapsulating classifier performance data based on varying a threshold over the classifier's predicted probabilities | Class | weka.gui.beans | Weka |
| ThresholdDataListener | Interface to something that can accept ThresholdDataEventsSince:1. | Interface | weka.gui.beans | Weka |
| ThresholdProducingMetric | Some evaluation measures may optimize thresholds on the class probabilities. | Interface | weka.classifiers.evaluation | Weka |
| ThresholdVisualizePanel | This panel is a VisualizePanel, with the added ablility to display the area under the ROC curve if an ROC curve is chosen. | Class | weka.gui.visualize | Weka |
| Time | Java class for Time element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TimeAnchor | Java class for TimeAnchor element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TIMEANCHOR2 | Java class for TIME-ANCHOR. | Class | weka.core.pmml.jaxbbindings | Weka |
| TimeCycle | Java class for TimeCycle element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TimeException | Java class for TimeException element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TIMEEXCEPTIONTYPE | enum TIMEEXCEPTIONTYPEJava class for TIME-EXCEPTION-TYPE. | Class | weka.core.pmml.jaxbbindings | Weka |
| TimeSeries | Java class for TimeSeries element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TIMESERIESALGORITHM | enum TIMESERIESALGORITHMJava class for TIMESERIES-ALGORITHM. | Class | weka.core.pmml.jaxbbindings | Weka |
| 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. | Class | weka.filters.unsupervised.attribute | Weka |
| TimeSeriesModel | Java class for TimeSeriesModel element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| 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. | Class | weka.filters.unsupervised.attribute | Weka |
| TIMESERIESUSAGE | enum TIMESERIESUSAGEJava class for TIMESERIES-USAGE. | Class | weka.core.pmml.jaxbbindings | Weka |
| Timestamp | Java class for Timestamp element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TimeValue | Java class for TimeValue element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TitleUpdatedEvent | Event that gets send in case a scripting panel updates the title. | Class | weka.gui.scripting.event | Weka |
| TitleUpdatedListener | Interface for frames/dialogs that listen to changes of the title. | Interface | weka.gui.scripting.event | Weka |
| Tokenizer | A superclass for all tokenizer algorithms. | Class | weka.core.tokenizers | Weka |
| TopDownConstructor | The class implementing the TopDown construction method of ball trees. | Class | weka.core.neighboursearch.balltrees | Weka |
| TrainingInstances | Java class for TrainingInstances element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TrainingSetEvent | Event encapsulating a training setVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| TrainingSetListener | Interface to something that can accept and process training set eventsVersion:$Revision: 8034 $Author:Mark Hall | Interface | weka.gui.beans | Weka |
| TrainingSetMaker | Bean that accepts a data sets and produces a training setVersion:$Revision: 10216 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| TrainingSetMaker | Step that converts an incoming dataSet or testSet into a trainingSet. | Class | weka.knowledgeflow.steps | Weka |
| TrainingSetMakerBeanInfo | Bean info class for the training set maker beanVersion:$Revision: 8034 $Author:Mark Hall | Class | weka.gui.beans | Weka |
| TrainingSetProducer | Interface to something that can produce a training setVersion:$Revision: 8034 $Author:Mark Hall | Interface | weka.gui.beans | Weka |
| TrainTestSplitMaker | Bean that accepts data sets, training sets, test sets and produces both a training and test set by randomly spliting the data | Class | weka.gui.beans | Weka |
| TrainTestSplitMaker | A step that creates a random train/test split from an incoming data set. | Class | weka.knowledgeflow.steps | Weka |
| TrainTestSplitMakerBeanInfo | Bean info class for the train test split maker beanSince:1. | Class | weka.gui.beans | Weka |
| TrainTestSplitMakerCustomizer | GUI customizer for the train test split maker beanVersion:$Revision: 8034 $Author:Mark HallSee Also:Serialized Form | Class | weka.gui.beans | Weka |
| TransformationDictionary | Java class for TransformationDictionary element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Transpose | Transposes the data: instances become attributes and attributes become instances. | Class | weka.filters.unsupervised.attribute | Weka |
| TreeBuild | This class will parse a dotty file and construct a tree structure from it with Edge's and Node's | Class | weka.gui.treevisualizer | Weka |
| TreeDisplayEvent | An event containing the user selection from the tree displayVersion:$Revision: 8034 $Author:Malcolm Ware (mfw4@cs. | Class | weka.gui.treevisualizer | Weka |
| TreeDisplayListener | Interface implemented by classes that wish to recieve user selection events from a tree displayer. | Interface | weka.gui.treevisualizer | Weka |
| TreeModel | Class implementing import of PMML TreeModel. | Class | weka.classifiers.pmml.consumer | Weka |
| TreeModel | Java class for TreeModel element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TreePerformanceStats | The class that measures the performance of a tree based nearest neighbour search algorithm. | Class | weka.core.neighboursearch | Weka |
| TreeVisualizePlugin | Interface implemented by classes loaded dynamically to visualize classifier results in the explorer. | Interface | weka.gui.visualize.plugins | Weka |
| TreeVisualizer | Class for displaying a Node structure in Swing. | Class | weka.gui.treevisualizer | Weka |
| TrendExpoSmooth | Java class for Trend_ExpoSmooth element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Trie | A class representing a Trie data structure for strings. | Class | weka.core | Weka |
| True | Java class for True element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| TwoClassStats | Encapsulates performance functions for two-class problems. | Class | weka.classifiers.evaluation | Weka |
| UnassignedClassException | Exception 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. | Class | weka.core | Weka |
| UnassignedDatasetException | Exception that is raised when trying to use something that has no reference to a dataset, when one is required. | Class | weka.core | Weka |
| Undoable | Interface implemented by classes that support undo. | Interface | weka.core | Weka |
| UniformDistribution | Java class for UniformDistribution element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| UnivariateDensityEstimator | Interface that can be implemented by simple weighted univariate density estimators. | Interface | weka.estimators | Weka |
| UnivariateEqualFrequencyHistogramEstimator | Simple histogram density estimator. | Class | weka.estimators | Weka |
| UnivariateIntervalEstimator | Interface that can be implemented by simple weighted univariate interval estimators. | Interface | weka.estimators | Weka |
| UnivariateKernelEstimator | Simple weighted kernel density estimator. | Class | weka.estimators | Weka |
| UnivariateMixtureEstimator | Simple weighted mixture density estimator. | Class | weka.estimators | Weka |
| UnivariateNominalMultiwaySplit | A multiway split based on a single nominal attributeVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs. | Class | weka.classifiers.trees.ht | Weka |
| UnivariateNormalEstimator | Simple weighted normal density estimator. | Class | weka.estimators | Weka |
| UnivariateNumericBinarySplit | A binary split based on a single numeric attributeVersion:$Revision: 9705 $Author:Richard Kirkby (rkirkby@cs. | Class | weka.classifiers.trees.ht | Weka |
| UnivariateQuantileEstimator | Interface that can be implemented by simple weighted univariate quantile estimators. | Interface | weka.estimators | Weka |
| UnivariateStats | Java class for UnivariateStats element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| UnsupervisedAttributeEvaluator | Abstract unsupervised attribute evaluator. | Class | weka.attributeSelection | Weka |
| UnsupervisedFilter | Interface | weka.filters | Weka | |
| UnsupervisedSubsetEvaluator | Abstract unsupervised attribute subset evaluator. | Class | weka.attributeSelection | Weka |
| UnsupportedAttributeTypeException | Exception that is raised by an object that is unable to process some of the attribute types it has been passed. | Class | weka.core | Weka |
| UnsupportedClassTypeException | Exception that is raised by an object that is unable to process the class type of the data it has been passed. | Class | weka.core | Weka |
| UpdateableBatchProcessor | Updateable classifiers can implement this if they wish to be informed at the end of the training stream. | Interface | weka.classifiers | Weka |
| UpdateableClassifier | Interface to incremental classification models that can learn using one instance at a time. | Interface | weka.classifiers | Weka |
| UpdateableClusterer | Interface to incremental cluster models that can learn using one instance Version:$Revision: 10829 $Author:FracPete (fracpete at waikato dot ac dot nz) | Interface | weka.clusterers | Weka |
| URLSourcedLoader | Interface to a loader that can load from a http urlVersion:$Revision 1. | Interface | weka.core.converters | Weka |
| UserRequestAcceptor | Interface to something that can accept requests from a user to perform someSince:1. | Interface | weka.gui.beans | Weka |
| Utils | Class implementing some simple utility methods. | Class | weka.core | Weka |
| VALIDTIMESPEC | Java class for VALID-TIME-SPEC. | Class | weka.core.pmml.jaxbbindings | Weka |
| Value | Java class for Value element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Values | Stores some statistics. | Class | weka.classifiers.trees.m5 | Weka |
| VariableDeclarations | Interface to expose variables to a program. | Interface | weka.core.expressionlanguage.core | Weka |
| VariableDeclarationsCompositor | A helper class that allows to combine several variable declarations together. | Class | weka.core.expressionlanguage.common | Weka |
| VaryNode | Part of ADTree implementation. | Class | weka.classifiers.bayes.net | Weka |
| VectorDictionary | Java class for VectorDictionary element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| VectorDictionary | Class encapsulating the PMML VectorDictionary construct. | Class | weka.core.pmml | Weka |
| VectorFields | Java class for VectorFields element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| VectorInstance | Java class for VectorInstance element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| VectorInstance | Class encapsulating a PMML VectorInstance constructVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.core.pmml | Weka |
| VerificationField | Java class for VerificationField element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| VerificationFields | Java class for VerificationFields element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| Version | This class contains the version number of the current WEKA release and some methods for comparing another version string. | Class | weka.core | Weka |
| VersionPackageConstraint | Concrete implementation of PackageConstraint that encapsulates constraints related to version numbers. | Class | weka.core.packageManagement | Weka |
| VersionRangePackageConstraint | A concrete implementation of PackgageConstraint that encapsulates ranged version number constraints. | Class | weka.core.packageManagement | Weka |
| ViewerDialog | A downsized version of the ArffViewer, displaying only one Instances-Object. | Class | weka.gui | Weka |
| Visible | Interface to something that has a visible (via BeanVisual) reprentationSince:1. | Interface | weka.gui.beans | Weka |
| VisibleLayout | Panel that wraps a flow and makes it visible in the KnowledgeFlow, along with it's associated log panel | Class | weka.gui.knowledgeflow | Weka |
| VisualizableErrorEvent | Event encapsulating error information for a learning scheme that can be visualized in the DataVisualizer | Class | weka.gui.beans | Weka |
| VisualizableErrorListener | Interface to something that can accept VisualizableErrorEventsSince:1. | Interface | weka.gui.beans | Weka |
| VisualizePanel | A slightly extended MatrixPanel for better support in the Explorer. | Class | weka.gui.explorer | Weka |
| VisualizePanel | This panel allows the user to visualize a dataset (and if provided) a classifier's/clusterer's predictions in two dimensions. | Class | weka.gui.visualize | Weka |
| VisualizePanelEvent | This event Is fired to a listeners 'userDataEvent' function when The user on the VisualizePanel clicks submit. | Class | weka.gui.visualize | Weka |
| VisualizePanelListener | Interface implemented by a class that is interested in receiving submited shapes from a visualize panel. | Interface | weka.gui.visualize | Weka |
| VisualizePlugin | Interface implemented by classes loaded dynamically to visualize classifier results in the explorer. | Interface | weka.gui.visualize.plugins | Weka |
| VisualizeUtils | This class contains utility routines for visualizationVersion:$Revision: 12391 $Author:Mark Hall (mhall@cs. | Class | weka.gui.visualize | Weka |
| Vote | Class for combining classifiers. | Class | weka.classifiers.meta | Weka |
| VotedPerceptron | Implementation of the voted perceptron algorithm by Freund and Schapire. | Class | weka.classifiers.functions | Weka |
| WeightedInstancesHandler | Interface | weka.core | Weka | |
| WeightedInstancesHandlerWrapper | Generic wrapper around any classifier to enable weighted instances support. | Class | weka.classifiers.meta | Weka |
| WeightMass | Simple container for a weightVersion:$Revision: 9707 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com)See Also:Serialized Form | Class | weka.classifiers.trees.ht | Weka |
| WekaAlgorithmWrapper | A step that wraps a class of standard Weka algorithm (e. | Class | weka.knowledgeflow.steps | Weka |
| WekaEnumeration | Class for enumerating an array list's elements. | Class | weka.core | Weka |
| WekaException | Class for Weka-specific exceptions. | Class | weka.core | Weka |
| WekaOffscreenChartRenderer | Default OffscreenChartRenderer that uses Weka's built-in chart and graphVersion:$Revision: 8034 $Author:Mark Hall (mhall{[at]}pentaho{[dot]}com) | Class | weka.gui.beans | Weka |
| WekaPackageManager | Class providing package management and manipulation routines. | Class | weka.core | Weka |
| WekaTaskMonitor | This panel records the number of weka tasks running and displays a simple bird animation while their are active tasks | Class | weka.gui | Weka |
| WekaWrapper | Interface to something that can wrap around a class of Weka algorithms (classifiers, filters etc). | Interface | weka.gui.beans | Weka |
| WordsFromFile | Uses the stopwords located in the specified file (ignored _if pointing to a directory). | Class | weka.core.stopwords | Weka |
| WordTokenizer | A simple tokenizer that is using the java. | Class | weka.core.tokenizers | Weka |
| Workbench | Launcher class for the Weka workbench. | Class | weka.gui | Weka |
| WorkbenchApp | One app to rule them all, one app to find them, one app to bring them all and with perspectives bind them. | Class | weka.gui | Weka |
| WorkbenchDefaults | Default settings for the Workbench app. | Class | weka.gui | Weka |
| WrapLayout | FlowLayout subclass that fully supports wrapping of components. | Class | weka.gui | Weka |
| WrapperSubsetEval | Evaluates attribute sets by using a learning scheme. | Class | weka.attributeSelection | Weka |
| XCoordinates | Java class for XCoordinates element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| XMLBasicSerialization | This serializer contains some read/write methods for common classes that are not beans-conform. | Class | weka.core.xml | Weka |
| XMLBeans | This class serializes and deserializes a KnowledgeFlow setup to and fro XML. | Class | weka.gui.beans.xml | Weka |
| XMLClassifier | This class serializes and deserializes a Classifier instance to andVersion:$Revision: 8034 $Author:FracPete (fracpete at waikato dot ac dot nz) | Class | weka.classifiers.xml | Weka |
| XMLDocument | This class offers some methods for generating, reading and writing It can only handle UTF-8. | Class | weka.core.xml | Weka |
| XMLExperiment | This class serializes and deserializes an Experiment instance to and fro XML. | Class | weka.experiment.xml | Weka |
| XMLFileBasedMetaStore | A simple default implementation of MetaStore that uses Weka's XML serialization mechanism to persist entries as XML files in | Class | weka.core.metastore | Weka |
| XMLInstances | XML representation of the Instances class. | Class | weka.core.xml | Weka |
| XMLOptions | A class for transforming options listed in XML to a regular WEKA command lineVersion:$Revision: 10203 $Author:FracPete (fracpete at waikato dot ac dot nz) | Class | weka.core.xml | Weka |
| XMLSerialization | With this class objects can be serialized to XML instead into a binary format. | Class | weka.core.xml | Weka |
| XMLSerializationMethodHandler | This class handles relationships between display names of properties (or classes) and Methods that are associated with them. | Class | weka.core.xml | Weka |
| XRFFLoader | Reads a source that is in the XML version of the ARFF format. | Class | weka.core.converters | Weka |
| XRFFSaver | Writes to a destination that is in the XML version of the ARFF format. | Class | weka.core.converters | Weka |
| XStream | This class is a helper class for XML serialization using XStream . | Class | weka.core.xml | Weka |
| YCoordinates | Java class for YCoordinates element declaration. | Class | weka.core.pmml.jaxbbindings | Weka |
| YongSplitInfo | Stores split information. | Class | weka.classifiers.trees.m5 | Weka |
| ZeroR | Class for building and using a 0-R classifier. | Class | weka.classifiers.rules | Weka |