com.yahoo.labs.samoa.learners.classifiers.rules.distributed

Class AMRulesAggregatorProcessor.Builder

java.lang.Object

com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder

Enclosing class:

AMRulesAggregatorProcessor

public static class AMRulesAggregatorProcessor.Builder
extends Object

Constructor Summary

Constructors

Constructor and Description
AMRulesAggregatorProcessor.Builder(AMRulesAggregatorProcessor processor)
AMRulesAggregatorProcessor.Builder(Instances dataset)

Method Summary

Methods

Modifier and Type	Method and Description
AMRulesAggregatorProcessor.Builder	alpha(double alpha)
AMRulesAggregatorProcessor.Builder	anomalyNumberOfInstancesThreshold(int anomalyNumInstThreshold)
AMRulesAggregatorProcessor	build()
AMRulesAggregatorProcessor.Builder	changeDetection(boolean changeDetection)
AMRulesAggregatorProcessor.Builder	constantLearningRatioDecay(boolean constantDecay)
AMRulesAggregatorProcessor.Builder	gracePeriod(int gracePeriod)
AMRulesAggregatorProcessor.Builder	learningRatio(double learningRatio)
AMRulesAggregatorProcessor.Builder	multivariateAnomalyProbabilityThreshold(double mAnomalyThreshold)
AMRulesAggregatorProcessor.Builder	noAnomalyDetection(boolean noAnomalyDetection)
AMRulesAggregatorProcessor.Builder	numericObserver(FIMTDDNumericAttributeClassLimitObserver numericObserver)
AMRulesAggregatorProcessor.Builder	predictionFunction(int predictionFunction)
AMRulesAggregatorProcessor.Builder	splitConfidence(double splitConfidence)
AMRulesAggregatorProcessor.Builder	threshold(int threshold)
AMRulesAggregatorProcessor.Builder	tieThreshold(double tieThreshold)
AMRulesAggregatorProcessor.Builder	univariateAnomalyProbabilityThreshold(double uAnomalyThreshold)
AMRulesAggregatorProcessor.Builder	unorderedRules(boolean unorderedRules)
AMRulesAggregatorProcessor.Builder	voteType(int voteType)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

AMRulesAggregatorProcessor.Builder

public AMRulesAggregatorProcessor.Builder(Instances dataset)

AMRulesAggregatorProcessor.Builder

public AMRulesAggregatorProcessor.Builder(AMRulesAggregatorProcessor processor)

Method Detail

threshold

public AMRulesAggregatorProcessor.Builder threshold(int threshold)

alpha

public AMRulesAggregatorProcessor.Builder alpha(double alpha)

changeDetection

public AMRulesAggregatorProcessor.Builder changeDetection(boolean changeDetection)

predictionFunction

public AMRulesAggregatorProcessor.Builder predictionFunction(int predictionFunction)

constantLearningRatioDecay

public AMRulesAggregatorProcessor.Builder constantLearningRatioDecay(boolean constantDecay)

learningRatio

public AMRulesAggregatorProcessor.Builder learningRatio(double learningRatio)

splitConfidence

public AMRulesAggregatorProcessor.Builder splitConfidence(double splitConfidence)

tieThreshold

public AMRulesAggregatorProcessor.Builder tieThreshold(double tieThreshold)

gracePeriod

public AMRulesAggregatorProcessor.Builder gracePeriod(int gracePeriod)

noAnomalyDetection

public AMRulesAggregatorProcessor.Builder noAnomalyDetection(boolean noAnomalyDetection)

multivariateAnomalyProbabilityThreshold

public AMRulesAggregatorProcessor.Builder multivariateAnomalyProbabilityThreshold(double mAnomalyThreshold)

univariateAnomalyProbabilityThreshold

public AMRulesAggregatorProcessor.Builder univariateAnomalyProbabilityThreshold(double uAnomalyThreshold)

anomalyNumberOfInstancesThreshold

public AMRulesAggregatorProcessor.Builder anomalyNumberOfInstancesThreshold(int anomalyNumInstThreshold)

unorderedRules

public AMRulesAggregatorProcessor.Builder unorderedRules(boolean unorderedRules)

numericObserver

public AMRulesAggregatorProcessor.Builder numericObserver(FIMTDDNumericAttributeClassLimitObserver numericObserver)

voteType

public AMRulesAggregatorProcessor.Builder voteType(int voteType)

build

public AMRulesAggregatorProcessor build()