Uses of Annotation Interface
weka.knowledgeflow.steps.KFStep
Packages that use KFStep
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Uses of KFStep in weka.knowledgeflow.steps
Classes in weka.knowledgeflow.steps with annotations of type KFStepModifier and TypeClassDescriptionclassStep that alters the relation name for data received via instance, dataSet, trainingSet and testSet connectionsclassA bean that appends multiple incoming data connections into a single data set.classStep that wraps a Weka attribute or subset evaluator.classStep that wraps a Weka attribute selection search strategy.classStep that wraps a Weka associator.classStep that collects data to display in a summary overview of attribute distributionsclassA step that waits for a specified step to finish processing before allowing incoming data to proceed downstream.classA step that computes visualization data for class/cluster decision boundaries.classKnowledge Flow step for assigning a class attribute in incoming dataclassStep that wraps a Weka classifier.classStep that implements batch classifier evaluationclassStep that allows the selection of the class label that is to be considered as the "positive" class when computing threshold curves.classStep that wraps a Weka clusterer.classA step that evaluates the performance of batch trained clusterersclassStep for storing and viewing threshold data in a cost-benefit visualizationclassStep for generating cross-validation splitsclassStep that wraps a Weka DataGenerator.classA step that allows the user to define instances to outputclassA step that provides a visualization based on weka.gui.visualize.VisualizePanelclassA "dummy" no-op stepclassKnowledge 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.classStep that wraps a Weka filter.classA step that splits incoming instances (or instance streams) according to the evaluation of a logical expression.classStep that outputs data stored in the job environmentclassStep for collecting and visualizing graph output from Drawable schemes.classStep for saving static images as either png or gif.classA step for collecting and viewing image dataclassStep that evaluates incremental classifiers and produces strip chart dataclassStep that converts an incoming instance stream to a batch datasetclassStep that executes another flow as a "job".classStep that performs an inner join on one or more key fields from two incoming batch or streaming datasets.classKnowledge Flow step that wrapsweka.core.converters.Loaders.classA Step that makes downstream steps that are directly connected to this step resource intensive (or not).classSimple start step that stores a set of instances and outputs it in a dataSet connection.classA Step that collects and displays either classifier error plots or threshold curvesclassStep that can produce data with predictions appended from batch or incremental classifiers and clusterersclassStep that wraps weka.core.converters.Saver classesclassStep that collects data for display in a scatter plot matrix.classStep that can send incoming instances to a perspective.classStep that can save models encapsulated in incomingDataobjects to the filesystem.classStep that accesses property values stored in the flow environment and attempts to set them on the algorithm-based step that it is connected to.classStep that can be used to set the values of environment variables for the flow being executed.classStep for sorting instances according to one or more attributes.classStores property values specified in incoming instances in the flow environment.classA step that can display a viewer showing a right-to-left scrolling chart for streaming dataclassStep that appends a label to incoming instances according to substring matches in string attributes.classA step that can replace sub-strings in the values of string attributes.classA step that makes an incoming dataSet or trainingSet into a testSet.classStep for saving textual data to a file.classA step for collecting and viewing textual dataclassStep that converts an incoming dataSet or testSet into a trainingSet.classA step that creates a random train/test split from an incoming data set.classStep that stores incoming non-incremental data in the job environmentclassStep that takes incoming data and writes it to the Weka log