Uses of Interface
weka.knowledgeflow.steps.BaseStepExtender

Packages that use BaseStepExtender

Package	Description
weka.knowledgeflow.steps

Uses of BaseStepExtender in weka.knowledgeflow.steps

Classes in weka.knowledgeflow.steps that implement BaseStepExtender

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