| 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 | 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 | Description |
|---|---|
| FlowByExpression.ExpressionClause.ExpressionType |
| Annotation Type | Description |
|---|---|
| KFStep |
KFStep class annotation
|
| NotPersistable |
Annotation for properties that should not be persisted
|