Package weka.knowledgeflow.steps

Interface Summary

Interface	Description
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 and/or main processing step in the Knowledge Flow.
BoundaryPlotter.RenderingUpdateListener	Interface for something that wants to be informed of rendering progress updates
DataCollector	Auxiliary interface for steps that collect data results of some type - e.g.
PairedDataHelper.PairedProcessor<P>	Interface for processors of paired data to implement.
Step	Client API for Knowledge Flow steps.
StripChart.PlotNotificationListener	StripChartInteractiveView implements this in order to receive data points.
TextViewer.TextNotificationListener	Interface for listeners of textual results

Class Summary

Class	Description
Appender	A bean that appends multiple incoming data connections into a single data set.
ASEvaluator	Step that wraps a Weka attribute or subset evaluator.
ASSearchStrategy	Step that wraps a Weka attribute selection search strategy.
Associator	Step that wraps a Weka associator.
AttributeSummarizer	Step that collects data to display in a summary overview of attribute distributions
BaseSimpleDataVisualizer	Abstract base class for simple data visualization steps that just collect data sets for visualization.
BaseStep	Base class for implementations of Step to use.
Block	A step that waits for a specified step to finish processing before allowing incoming data to proceed downstream.
BoundaryPlotter	A step that computes visualization data for class/cluster decision boundaries.
ClassAssigner	Knowledge Flow step for assigning a class attribute in incoming data
Classifier	Step that wraps a Weka classifier.
ClassifierPerformanceEvaluator	Step that implements batch classifier evaluation
ClassValuePicker	Step that allows the selection of the class label that is to be considered as the "positive" class when computing threshold curves.
Clusterer	Step that wraps a Weka clusterer.
ClustererPerformanceEvaluator	A step that evaluates the performance of batch trained clusterers
CostBenefitAnalysis	Step for storing and viewing threshold data in a cost-benefit visualization
CrossValidationFoldMaker	Step for generating cross-validation splits
DataGenerator	Step that wraps a Weka DataGenerator.
DataGrid	A step that allows the user to define instances to output
DataVisualizer	A step that provides a visualization based on weka.gui.visualize.VisualizePanel
Dummy	A "dummy" no-op step
Filter	Step that wraps a Weka filter.
FlowByExpression	A step that splits incoming instances (or instance streams) according to the evaluation of a logical expression.
FlowByExpression.BracketNode	An expression node that encloses other expression nodes in brackets
FlowByExpression.ExpressionClause	An expression node that represents a clause of an expression
FlowByExpression.ExpressionNode	Abstract base class for parts of a boolean expression.
GraphViewer	Step for collecting and visualizing graph output from Drawable schemes.
ImageSaver	Step for saving static images as either png or gif.
ImageSaver.ImageSaverDefaults
ImageViewer	A step for collecting and viewing image data
IncrementalClassifierEvaluator	Step that evaluates incremental classifiers and produces strip chart data
InstanceStreamToBatchMaker	Step that converts an incoming instance stream to a batch dataset
Join	Step that performs an inner join on one or more key fields from two incoming batch or streaming datasets.
Loader	Knowledge Flow step that wraps weka.core.converters.Loaders.
MakeResourceIntensive	A Step that makes downstream steps that are directly connected to this step resource intensive (or not).
MemoryBasedDataSource	Simple start step that stores a set of instances and outputs it in a dataSet connection.
ModelPerformanceChart	A Step that collects and displays either classifier error plots or threshold curves
Note	A Knowledge Flow "step" that implements a note on the GUI layout
PairedDataHelper<P>	A helper class that Step implementations can use when processing paired data (e.g.
PredictionAppender	Step that can produce data with predictions appended from batch or incremental classifiers and clusterers
Saver	Step that wraps weka.core.converters.Saver classes
ScatterPlotMatrix	Step that collects data for display in a scatter plot matrix.
SerializedModelSaver	Step that can save models encapsulated in incoming Data objects to the filesystem.
SetVariables	Step that can be used to set the values of environment variables for the flow being executed.
Sorter	Step for sorting instances according to one or more attributes.
Sorter.SortRule	Implements a sorting rule based on a single attribute
StripChart	A step that can display a viewer showing a right-to-left scrolling chart for streaming data
SubstringLabeler	Step that appends a label to incoming instances according to substring matches in string attributes.
SubstringReplacer	A step that can replace sub-strings in the values of string attributes.
TestSetMaker	A step that makes an incoming dataSet or trainingSet into a testSet.
TextSaver	Step for saving textual data to a file.
TextSaver.TextSaverDefaults	Defaults for the step
TextViewer	A step for collecting and viewing textual data
TrainingSetMaker	Step that converts an incoming dataSet or testSet into a trainingSet.
TrainTestSplitMaker	A step that creates a random train/test split from an incoming data set.
WekaAlgorithmWrapper	A step that wraps a class of standard Weka algorithm (e.g.

Enum Summary

Enum	Description
FlowByExpression.ExpressionClause.ExpressionType

Annotation Types Summary

Annotation Type	Description
KFStep	KFStep class annotation
NotPersistable	Annotation for properties that should not be persisted