Configurable
, java.io.Serializable
, CapabilitiesHandler
, Classifier
, MultiLabelClassifier
, MultiLabelLearner
, AMRulesFunction
, AWTRenderable
, Learner<Example<Instance>>
, MOAObject
, OptionHandler
public class MultiLabelNaiveBayes extends AbstractAMRulesFunctionBasicMlLearner implements MultiLabelClassifier, AMRulesFunction
classifierRandom, modelContext, randomSeed, trainingWeightSeenByModel
config
baseLearnerOption, ensemble, hasStarted, header, randomSeedOption
Constructor | Description |
---|---|
MultiLabelNaiveBayes() |
Modifier and Type | Method | Description |
---|---|---|
java.lang.String |
getPurposeString() |
Dictionary with option texts and objects
|
protected void |
init() |
|
void |
resetWithMemory() |
selectOutputsToLearn
contextIsCompatible, copy, correctlyClassifies, defineImmutableCapabilities, getAttributeNameString, getAWTRenderer, getClassLabelString, getClassNameString, getDescription, getModel, getModelContext, getModelMeasurements, getNominalValueString, getSubClassifiers, getSublearners, getVotesForInstance, modelAttIndexToInstanceAttIndex, modelAttIndexToInstanceAttIndex, prepareForUseImpl, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance, trainOnInstance
copy, measureByteSize, measureByteSize, toString
getPredictionForInstance, getPredictionForInstance, getVotesForInstance, trainOnInstanceImpl
getCLICreationString, getOptions, getPreparedClassOption, prepareClassOptions, prepareForUse, prepareForUse
selectOutputsToLearn
getAWTRenderer
getModelDescription, getModelMeasurementsImpl, getPredictionForInstance, isRandomizable, resetLearningImpl, trainOnInstanceImpl, transformInstance
getCapabilities
copy, correctlyClassifies, getPredictionForInstance, getSubClassifiers, getVotesForInstance, trainOnInstance
getModel, getModelContext, getModelMeasurements, getPredictionForInstance, getSublearners, getVotesForInstance, isRandomizable, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance
getDescription, measureByteSize
getPredictionForInstance, trainOnInstanceImpl
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
getCLICreationString, getOptions, prepareForUse, prepareForUse
protected void init()
init
in class BasicMultiLabelLearner
public java.lang.String getPurposeString()
AbstractOptionHandler
getPurposeString
in interface OptionHandler
getPurposeString
in class AbstractClassifier
public void resetWithMemory()
resetWithMemory
in interface AMRulesFunction
resetWithMemory
in class AbstractAMRulesFunctionBasicMlLearner
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