public abstract class AbstractAMRulesFunctionBasicMlLearner extends BasicMultiLabelLearner implements AMRulesFunction
baseLearnerOption, ensemble, hasStarted, header, randomSeedOption
classifierRandom, downSampleRatio, modelContext, randomSeed, trainingWeightSeenByModel
config
Constructor and Description |
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AbstractAMRulesFunctionBasicMlLearner() |
Modifier and Type | Method and Description |
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abstract void |
resetWithMemory() |
void |
selectOutputsToLearn(int[] outputsToLearn) |
getModelDescription, getModelMeasurementsImpl, getPredictionForInstance, init, isRandomizable, resetLearningImpl, trainOnInstanceImpl, transformInstance
getPredictionForInstance, getPredictionForInstance, getVotesForInstance, trainOnInstanceImpl
contextIsCompatible, copy, correctlyClassifies, getAttributeNameString, getAWTRenderer, getClassLabelString, getClassNameString, getDescription, getDownSampleRatio, getModel, getModelContext, getModelMeasurements, getNominalValueString, getPurposeString, getSubClassifiers, getSublearners, getVotesForInstance, modelAttIndexToInstanceAttIndex, modelAttIndexToInstanceAttIndex, prepareForUseImpl, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance, trainOnInstance, updateDownSampleRatio
getCLICreationString, getOptions, getPreparedClassOption, prepareClassOptions, prepareForUse, prepareForUse
copy, measureByteSize, measureByteSize, toString
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
copy, correctlyClassifies, getSubClassifiers, trainOnInstance
getModel, getModelContext, getModelMeasurements, getSublearners, getVotesForInstance, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance
getCLICreationString, getOptions, getPurposeString, prepareForUse, prepareForUse
getDescription, measureByteSize
getAWTRenderer
public AbstractAMRulesFunctionBasicMlLearner()
public abstract void resetWithMemory()
resetWithMemory
in interface AMRulesFunction
public void selectOutputsToLearn(int[] outputsToLearn)
selectOutputsToLearn
in interface AMRulesFunction
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