Package moa.classifiers
Interface MultiTargetRegressor
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- All Superinterfaces:
AWTRenderable
,Classifier
,Configurable
,Learner<Example<Instance>>
,MOAObject
,MultiLabelLearner
,OptionHandler
,Serializable
- All Known Implementing Classes:
AdaptiveMultiTargetRegressor
,AMRulesMultiTargetRegressor
,AMRulesRegressor
,BasicMultiTargetRegressor
,ISOUPTree
,ISOUPTreeRF
,MEKAClassifier
,MultilabelHoeffdingTree
,MultiLabelRandomAMRules
,MultiTargetMeanRegressor
,MultiTargetNoChange
,MultiTargetPerceptronRegressor
,OzaBagAdwinML
,OzaBagML
,RandomAMRules
,StackedPredictor
public interface MultiTargetRegressor extends MultiLabelLearner
MultiTargetRegressor interface for incremental MultiTarget regression models. It is used only in the GUI MultiTargetRegression Tab.- Version:
- $Revision: 7 $
- Author:
- Richard Kirkby (rkirkby@cs.waikato.ac.nz)
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Method Summary
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Methods inherited from interface moa.gui.AWTRenderable
getAWTRenderer
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Methods inherited from interface moa.classifiers.Classifier
copy, correctlyClassifies, getPredictionForInstance, getSubClassifiers, getVotesForInstance, trainOnInstance
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Methods inherited from interface moa.learners.Learner
getModel, getModelContext, getModelMeasurements, getPredictionForInstance, getSublearners, getVotesForInstance, isRandomizable, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance
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Methods inherited from interface moa.MOAObject
getDescription, measureByteSize
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Methods inherited from interface moa.classifiers.MultiLabelLearner
getPredictionForInstance, trainOnInstanceImpl
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Methods inherited from interface moa.options.OptionHandler
getCLICreationString, getOptions, getPurposeString, prepareForUse, prepareForUse
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