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ExampleClassifier - Class in weka.knowledgeflow.steps

A simple paired processing example that trains and evaluates a classifier.

ExampleClassifier() - Constructor for class weka.knowledgeflow.steps.ExampleClassifier

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getAttName() - Method in class weka.knowledgeflow.steps.StatsCalculator

Get the name of the attribute to compute stats for

getClassifier() - Method in class weka.knowledgeflow.steps.ExampleClassifier

Get the classifier to train/eval

getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ExampleClassifier

Incoming connections we can accept.

getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.RoundRobin

Get a list of acceptable incoming connection types

getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.StatsCalculator

Get a list of acceptable incoming connection types

getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ExampleClassifier

Outgoing connections we can produce

getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.RoundRobin

Get a list of outgoing connection types

getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.StatsCalculator

Get a list of outgoing connection types

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processIncoming(Data) - Method in class weka.knowledgeflow.steps.ExampleClassifier

Process some incoming data (either train or test sets)

processIncoming(Data) - Method in class weka.knowledgeflow.steps.RoundRobin

Process incoming data

processIncoming(Data) - Method in class weka.knowledgeflow.steps.StatsCalculator

Process incoming data

processPrimary(Integer, Integer, Data, PairedDataHelper<Classifier>) - Method in class weka.knowledgeflow.steps.ExampleClassifier

Process training data

processSecondary(Integer, Integer, Data, PairedDataHelper<Classifier>) - Method in class weka.knowledgeflow.steps.ExampleClassifier

Process test data

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RoundRobin - Class in weka.knowledgeflow.steps

Simple example step that demonstrates stream processing - round robins incoming instances among the outgoing connections.

RoundRobin() - Constructor for class weka.knowledgeflow.steps.RoundRobin

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setAttName(String) - Method in class weka.knowledgeflow.steps.StatsCalculator

Set the name of the attribute to compute stats for

setClassifier(Classifier) - Method in class weka.knowledgeflow.steps.ExampleClassifier

Set the classifier to train/eval

StatsCalculator - Class in weka.knowledgeflow.steps

Simple example batch processing step.

StatsCalculator() - Constructor for class weka.knowledgeflow.steps.StatsCalculator

stepInit() - Method in class weka.knowledgeflow.steps.ExampleClassifier

Initialize the step

stepInit() - Method in class weka.knowledgeflow.steps.RoundRobin

Initialize the step

stepInit() - Method in class weka.knowledgeflow.steps.StatsCalculator

Initialize the step.

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weka.knowledgeflow.steps - package weka.knowledgeflow.steps

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