Index (SAMOA 0.2.0-SNAPSHOT API)

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

AbstractChangeDetector - Class in com.yahoo.labs.samoa.moa.classifiers.core.driftdetection: Abstract Change Detector.
AbstractChangeDetector() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.AbstractChangeDetector
AbstractClassifier - Class in com.yahoo.labs.samoa.moa.classifiers
AbstractClassifier() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier: Creates an classifier and setups the random seed option if the classifier is randomizable.
AbstractClassOption - Class in com.yahoo.labs.samoa.moa.options: Abstract class option.
AbstractClassOption(String, char, String, Class<?>, String) - Constructor for class com.yahoo.labs.samoa.moa.options.AbstractClassOption: Creates a new instance of an abstract option given its class name, command line interface text, its purpose, its class type and its default command line interface text.
AbstractClassOption(String, char, String, Class<?>, String, String) - Constructor for class com.yahoo.labs.samoa.moa.options.AbstractClassOption: Creates a new instance of an abstract option given its class name, command line interface text, its purpose, its class type, default command line interface text, and its null text.
AbstractClusterer - Class in com.yahoo.labs.samoa.moa.clusterers
AbstractClusterer() - Constructor for class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
AbstractEntranceProcessingItem - Class in com.yahoo.labs.samoa.topology: Helper class for EntranceProcessingItem implementation.
AbstractEntranceProcessingItem() - Constructor for class com.yahoo.labs.samoa.topology.AbstractEntranceProcessingItem
AbstractEntranceProcessingItem(EntranceProcessor) - Constructor for class com.yahoo.labs.samoa.topology.AbstractEntranceProcessingItem
AbstractErrorWeightedVote - Class in com.yahoo.labs.samoa.moa.classifiers.rules.core.voting: AbstractErrorWeightedVote class for weighted votes based on estimates of errors.
AbstractErrorWeightedVote() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.AbstractErrorWeightedVote
AbstractErrorWeightedVote(AbstractErrorWeightedVote) - Constructor for class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.AbstractErrorWeightedVote
AbstractMOAObject - Class in com.yahoo.labs.samoa.moa: Abstract MOA Object.
AbstractMOAObject() - Constructor for class com.yahoo.labs.samoa.moa.AbstractMOAObject
AbstractOptionHandler - Class in com.yahoo.labs.samoa.moa.options: Abstract Option Handler.
AbstractOptionHandler() - Constructor for class com.yahoo.labs.samoa.moa.options.AbstractOptionHandler
AbstractProcessingItem - Class in com.yahoo.labs.samoa.topology: Abstract ProcessingItem Helper for implementation of ProcessingItem.
AbstractProcessingItem() - Constructor for class com.yahoo.labs.samoa.topology.AbstractProcessingItem
AbstractProcessingItem(Processor) - Constructor for class com.yahoo.labs.samoa.topology.AbstractProcessingItem
AbstractProcessingItem(Processor, int) - Constructor for class com.yahoo.labs.samoa.topology.AbstractProcessingItem
AbstractStream - Class in com.yahoo.labs.samoa.topology: Abstract Stream Helper for implementation of Stream.
AbstractStream() - Constructor for class com.yahoo.labs.samoa.topology.AbstractStream
AbstractStream(IProcessingItem) - Constructor for class com.yahoo.labs.samoa.topology.AbstractStream
AbstractTopology - Class in com.yahoo.labs.samoa.topology: Topology abstract class.
ActiveRule - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common: ActiveRule is a LearningRule that actively update its LearningNode with incoming instances.
ActiveRule() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule
ActiveRule(ActiveRule.Builder) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule
ActiveRule.Builder - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common
ActiveRule.Builder() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule.Builder
AdaptiveBagging - Class in com.yahoo.labs.samoa.learners.classifiers.ensemble: The Bagging Classifier by Oza and Russell.
AdaptiveBagging() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.ensemble.AdaptiveBagging
AdaptiveLearner - Interface in com.yahoo.labs.samoa.learners: The Interface Adaptive Learner.
add(double) - Method in class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator.Estimator
add(Instance) - Method in class com.yahoo.labs.samoa.instances.Instances
add(Instance) - Method in class com.yahoo.labs.samoa.learners.InstancesContentEvent
add(CFCluster) - Method in class com.yahoo.labs.samoa.moa.cluster.CFCluster
add(Cluster) - Method in class com.yahoo.labs.samoa.moa.cluster.Clustering: add a cluster to the clustering
add(double[]) - Method in class com.yahoo.labs.samoa.moa.cluster.Miniball.PointStorage
add(CFCluster) - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.ClustreamKernel
add(int, T) - Method in class com.yahoo.labs.samoa.moa.core.AutoExpandVector
add(T) - Method in class com.yahoo.labs.samoa.moa.core.AutoExpandVector
addAll(Collection<? extends T>) - Method in class com.yahoo.labs.samoa.moa.core.AutoExpandVector
addAll(int, Collection<? extends T>) - Method in class com.yahoo.labs.samoa.moa.core.AutoExpandVector
addClusterChangeListener(ClusterEventListener) - Method in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents: Add a listener
addDestination(StreamDestination) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream
addDestination(StreamDestination) - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsStream
addElement(E) - Method in class com.yahoo.labs.samoa.moa.core.FastVector: Adds an element to this vector.
addEmptyValue(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
addEntranceProcessingItem(EntranceProcessingItem) - Method in class com.yahoo.labs.samoa.topology.AbstractTopology: Adds an Entrance processing item to the topology.
addEntranceProcessingItem(EntranceProcessingItem) - Method in interface com.yahoo.labs.samoa.topology.Topology: Add an EntranceProcessingItem to this topology
addEntranceProcessor(EntranceProcessor) - Method in class com.yahoo.labs.samoa.topology.TopologyBuilder
addEventType(String) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
addObservation(double, double) - Method in class com.yahoo.labs.samoa.moa.core.GaussianEstimator
addObservations(GaussianEstimator) - Method in class com.yahoo.labs.samoa.moa.core.GaussianEstimator
addOutputStream(SamzaStream) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEntranceProcessingItem
addOutputStream(SamzaStream) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaProcessingItem
addOutputStream(SamzaStream) - Method in interface com.yahoo.labs.samoa.topology.impl.SamzaProcessingNode: Registers an output stream with this processing item
addProcessingItem(IProcessingItem) - Method in class com.yahoo.labs.samoa.topology.AbstractTopology: Add processing item to topology.
addProcessingItem(IProcessingItem, int) - Method in class com.yahoo.labs.samoa.topology.AbstractTopology: Add processing item to topology.
addProcessingItem(IProcessingItem, int) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaTopology
addProcessingItem(IProcessingItem, int) - Method in class com.yahoo.labs.samoa.topology.impl.StormTopology
addProcessingItem(IProcessingItem) - Method in interface com.yahoo.labs.samoa.topology.Topology: Add a ProcessingItem to this topology with default parallelism level (i.e.
addProcessingItem(IProcessingItem, int) - Method in interface com.yahoo.labs.samoa.topology.Topology: Add a ProcessingItem to this topology with an associated parallelism level
addProcessor(Processor, int) - Method in class com.yahoo.labs.samoa.topology.TopologyBuilder
addProcessor(Processor) - Method in class com.yahoo.labs.samoa.topology.TopologyBuilder
addResult(Instance, double[]) - Method in class com.yahoo.labs.samoa.evaluation.BasicClassificationPerformanceEvaluator
addResult(Instance, double[]) - Method in class com.yahoo.labs.samoa.evaluation.BasicRegressionPerformanceEvaluator
addResult(Instance, double[]) - Method in interface com.yahoo.labs.samoa.evaluation.PerformanceEvaluator: Adds a learning result to this evaluator.
addResult(Instance, double[]) - Method in class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator
addResult(E, double[]) - Method in interface com.yahoo.labs.samoa.moa.evaluation.LearningPerformanceEvaluator: Adds a learning result to this evaluator.
addSparseValues(int[], double[], int) - Method in interface com.yahoo.labs.samoa.instances.Instance
addSparseValues(int[], double[], int) - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
addStream(Stream) - Method in class com.yahoo.labs.samoa.topology.AbstractTopology: Add stream to topology.
addStream(String, KeyFinder<S4Event>, S4ProcessingItem, int) - Method in class com.yahoo.labs.samoa.topology.impl.S4Stream
addStream(Stream) - Method in interface com.yahoo.labs.samoa.topology.Topology
addToValue(int, double) - Method in class com.yahoo.labs.samoa.core.DoubleVector
addToValue(int, double) - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
addToValues(double) - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
addValue(int, double) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
addValues(DoubleVector) - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
addValues(double[]) - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
addVectors(double[], double[]) - Static method in class com.yahoo.labs.samoa.moa.cluster.CFCluster: Adds the second array to the first array element by element.
addVote(double[], double) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.AbstractErrorWeightedVote
addVote(double[], double) - Method in interface com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.ErrorWeightedVote: Adds a vote and the corresponding error for the computation of the weighted vote and respective weighted error.
ADWIN - Class in com.yahoo.labs.samoa.moa.classifiers.core.driftdetection: ADaptive sliding WINdow method.
ADWIN() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
ADWIN(double) - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
ADWIN(int) - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
ADWINChangeDetector - Class in com.yahoo.labs.samoa.moa.classifiers.core.driftdetection: Drift detection method based in ADWIN.
ADWINChangeDetector() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWINChangeDetector
alpha(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
alpha(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule.Builder
alpha(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor.Builder
alpha(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
alphaOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.GeometricMovingAverageDM
alphaOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.PageHinkleyDM
AM_MEMORY_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
AMRDefaultRuleProcessor - Class in com.yahoo.labs.samoa.learners.classifiers.rules.distributed: Default Rule Learner Processor (HAMR).
AMRDefaultRuleProcessor(AMRDefaultRuleProcessor.Builder) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor
AMRDefaultRuleProcessor.Builder - Class in com.yahoo.labs.samoa.learners.classifiers.rules.distributed
AMRDefaultRuleProcessor.Builder(Instances) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor.Builder
AMRDefaultRuleProcessor.Builder(AMRDefaultRuleProcessor) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor.Builder
AMRLearnerProcessor - Class in com.yahoo.labs.samoa.learners.classifiers.rules.distributed: Learner Processor (HAMR).
AMRLearnerProcessor(AMRLearnerProcessor.Builder) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor
AMRLearnerProcessor.Builder - Class in com.yahoo.labs.samoa.learners.classifiers.rules.distributed
AMRLearnerProcessor.Builder(Instances) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor.Builder
AMRLearnerProcessor.Builder(AMRLearnerProcessor) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor.Builder
AMRRuleSetProcessor - Class in com.yahoo.labs.samoa.learners.classifiers.rules.distributed: Model Aggregator Processor (HAMR).
AMRRuleSetProcessor(AMRRuleSetProcessor.Builder) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor
AMRRuleSetProcessor.Builder - Class in com.yahoo.labs.samoa.learners.classifiers.rules.distributed
AMRRuleSetProcessor.Builder(Instances) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor.Builder
AMRRuleSetProcessor.Builder(AMRRuleSetProcessor) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor.Builder
AMRulesAggregatorProcessor - Class in com.yahoo.labs.samoa.learners.classifiers.rules.distributed: Model Aggregator Processor (VAMR).
AMRulesAggregatorProcessor(AMRulesAggregatorProcessor.Builder) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor
AMRulesAggregatorProcessor.Builder - Class in com.yahoo.labs.samoa.learners.classifiers.rules.distributed
AMRulesAggregatorProcessor.Builder(Instances) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
AMRulesAggregatorProcessor.Builder(AMRulesAggregatorProcessor) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
AMRulesRegressor - Class in com.yahoo.labs.samoa.learners.classifiers.rules: AMRules Regressor is the task for the serialized implementation of AMRules algorithm for regression rule.
AMRulesRegressor() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
AMRulesRegressorProcessor - Class in com.yahoo.labs.samoa.learners.classifiers.rules.centralized: AMRules Regressor Processor is the main (and only) processor for AMRulesRegressor task.
AMRulesRegressorProcessor(AMRulesRegressorProcessor.Builder) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor
AMRulesRegressorProcessor.Builder - Class in com.yahoo.labs.samoa.learners.classifiers.rules.centralized
AMRulesRegressorProcessor.Builder(Instances) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
AMRulesRegressorProcessor.Builder(AMRulesRegressorProcessor) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
AMRulesStatisticsProcessor - Class in com.yahoo.labs.samoa.learners.classifiers.rules.distributed: Learner Processor (VAMR).
AMRulesStatisticsProcessor(AMRulesStatisticsProcessor.Builder) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesStatisticsProcessor
AMRulesStatisticsProcessor.Builder - Class in com.yahoo.labs.samoa.learners.classifiers.rules.distributed
AMRulesStatisticsProcessor.Builder(Instances) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesStatisticsProcessor.Builder
AMRulesStatisticsProcessor.Builder(AMRulesStatisticsProcessor) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesStatisticsProcessor.Builder
anomalyNumberOfInstancesThreshold(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
anomalyNumberOfInstancesThreshold(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor.Builder
anomalyNumberOfInstancesThreshold(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor.Builder
anomalyNumberOfInstancesThreshold(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
anomalyNumInstThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
anomalyNumInstThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
anomalyNumInstThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
appendIndent(StringBuilder, int) - Static method in class com.yahoo.labs.samoa.moa.core.StringUtils
appendIndented(StringBuilder, int, String) - Static method in class com.yahoo.labs.samoa.moa.core.StringUtils
appendNewline(StringBuilder) - Static method in class com.yahoo.labs.samoa.moa.core.StringUtils
appendNewlineIndented(StringBuilder, int, String) - Static method in class com.yahoo.labs.samoa.moa.core.StringUtils
ARFF_ATTRIBUTE - Static variable in class com.yahoo.labs.samoa.instances.Attribute
ARFF_ATTRIBUTE_NUMERIC - Static variable in class com.yahoo.labs.samoa.instances.Attribute
ARFF_DATA - Static variable in class com.yahoo.labs.samoa.instances.Instances
ARFF_RELATION - Static variable in class com.yahoo.labs.samoa.instances.Instances
arffFileOption - Variable in class com.yahoo.labs.samoa.moa.streams.ArffFileStream
arffFileOption - Variable in class com.yahoo.labs.samoa.streams.ArffFileStream
ArffFileStream - Class in com.yahoo.labs.samoa.moa.streams: Stream reader of ARFF files.
ArffFileStream() - Constructor for class com.yahoo.labs.samoa.moa.streams.ArffFileStream
ArffFileStream(String, int) - Constructor for class com.yahoo.labs.samoa.moa.streams.ArffFileStream
ArffFileStream - Class in com.yahoo.labs.samoa.streams: InstanceStream for ARFF file
ArffFileStream() - Constructor for class com.yahoo.labs.samoa.streams.ArffFileStream
ArffLoader - Class in com.yahoo.labs.samoa.instances
ArffLoader() - Constructor for class com.yahoo.labs.samoa.instances.ArffLoader
ArffLoader(Reader, int, int) - Constructor for class com.yahoo.labs.samoa.instances.ArffLoader
argsToTopology(String[]) - Static method in class com.yahoo.labs.samoa.topology.impl.StormSamoaUtils
arrayToString(Object) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns the given Array in a string representation.
AssignmentContentEvent - Class in com.yahoo.labs.samoa.learners.classifiers.rules.distributed: Forwarded instances from Model Agrregator to Learners/Default Rule Learner.
AssignmentContentEvent() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AssignmentContentEvent
AssignmentContentEvent(int, Instance) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AssignmentContentEvent
Attribute - Class in com.yahoo.labs.samoa.instances
Attribute(String) - Constructor for class com.yahoo.labs.samoa.instances.Attribute
Attribute(String, List<String>) - Constructor for class com.yahoo.labs.samoa.instances.Attribute
Attribute() - Constructor for class com.yahoo.labs.samoa.instances.Attribute
attribute(int) - Method in interface com.yahoo.labs.samoa.instances.Instance
attribute(int) - Method in class com.yahoo.labs.samoa.instances.InstanceInformation
attribute(int) - Method in class com.yahoo.labs.samoa.instances.Instances
attribute(String) - Method in class com.yahoo.labs.samoa.instances.Instances
attribute(int) - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
AttributeClassObserver - Interface in com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers: Interface for observing the class data distribution for an attribute.
AttributeContentEvent - Class in com.yahoo.labs.samoa.learners.classifiers.trees: Attribute Content Event represents the instances that split vertically based on their attribute
AttributeContentEvent() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.trees.AttributeContentEvent
AttributeContentEvent.AttributeCEFullPrecSerializer - Class in com.yahoo.labs.samoa.learners.classifiers.trees: The Kryo serializer class for AttributeContentEvent when executing on top of Storm with full precision of the statistics.
AttributeContentEvent.AttributeCEFullPrecSerializer() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.trees.AttributeContentEvent.AttributeCEFullPrecSerializer
AttributeContentEvent.AttributeCESerializer - Class in com.yahoo.labs.samoa.learners.classifiers.trees: The Kryo serializer class for AttributeContentEvent when executing on top of Storm.
AttributeContentEvent.AttributeCESerializer() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.trees.AttributeContentEvent.AttributeCESerializer
AttributeSplitSuggestion - Class in com.yahoo.labs.samoa.moa.classifiers.core: Class for computing attribute split suggestions given a split test.
AttributeSplitSuggestion() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.AttributeSplitSuggestion
AttributeSplitSuggestion(InstanceConditionalTest, double[][], double) - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.AttributeSplitSuggestion
attValDistPerClass - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver
AutoClassDiscovery - Class in com.yahoo.labs.samoa.moa.core: Class for discovering classes via reflection in the java class path.
AutoClassDiscovery() - Constructor for class com.yahoo.labs.samoa.moa.core.AutoClassDiscovery
AutoExpandVector<T> - Class in com.yahoo.labs.samoa.moa.core: Vector with the capability of automatic expansion.
AutoExpandVector() - Constructor for class com.yahoo.labs.samoa.moa.core.AutoExpandVector
AutoExpandVector(int) - Constructor for class com.yahoo.labs.samoa.moa.core.AutoExpandVector
averageMeasurements(Measurement[][]) - Static method in class com.yahoo.labs.samoa.moa.core.Measurement

B

backQuoteChars(String) - Static method in class com.yahoo.labs.samoa.instances.Utils
backQuoteChars(String) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Converts carriage returns and new lines in a string into \r and \n.
Bagging - Class in com.yahoo.labs.samoa.learners.classifiers.ensemble: The Bagging Classifier by Oza and Russell.
Bagging() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.ensemble.Bagging
BaggingDistributorProcessor - Class in com.yahoo.labs.samoa.learners.classifiers.ensemble: The Class BaggingDistributorPE.
BaggingDistributorProcessor() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.ensemble.BaggingDistributorProcessor
baseLearnerOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.ensemble.AdaptiveBagging: The base learner option.
baseLearnerOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.ensemble.Bagging: The base learner option.
baseLearnerOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.ensemble.Boosting: The base learner option.
BasicClassificationPerformanceEvaluator - Class in com.yahoo.labs.samoa.evaluation: Classification evaluator that performs basic incremental evaluation.
BasicClassificationPerformanceEvaluator() - Constructor for class com.yahoo.labs.samoa.evaluation.BasicClassificationPerformanceEvaluator
BasicRegressionPerformanceEvaluator - Class in com.yahoo.labs.samoa.evaluation: Regression evaluator that performs basic incremental evaluation.
BasicRegressionPerformanceEvaluator() - Constructor for class com.yahoo.labs.samoa.evaluation.BasicRegressionPerformanceEvaluator
batchDelayOption - Variable in class com.yahoo.labs.samoa.tasks.PrequentialEvaluation
binarySplitsOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.trees.VerticalHoeffdingTree
BinaryTreeNumericAttributeClassObserver - Class in com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers: Class for observing the class data distribution for a numeric attribute using a binary tree.
BinaryTreeNumericAttributeClassObserver() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver
BinaryTreeNumericAttributeClassObserver.Node - Class in com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers
BinaryTreeNumericAttributeClassObserver.Node(double, int, double) - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver.Node
BinaryTreeNumericAttributeClassObserverRegression - Class in com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers: Class for observing the class data distribution for a numeric attribute using a binary tree.
BinaryTreeNumericAttributeClassObserverRegression() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression
BinaryTreeNumericAttributeClassObserverRegression.Node - Class in com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers
BinaryTreeNumericAttributeClassObserverRegression.Node(double, double) - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression.Node
binomialStandardError(double, int) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Computes standard error for observed values of a binomial random variable.
Boosting - Class in com.yahoo.labs.samoa.learners.classifiers.ensemble: The Bagging Classifier by Oza and Russell.
Boosting() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.ensemble.Boosting
BoostingDistributorProcessor - Class in com.yahoo.labs.samoa.learners.classifiers.ensemble: The Class BoostingDistributorProcessor.
BoostingDistributorProcessor() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.ensemble.BoostingDistributorProcessor
BoostingPredictionCombinerProcessor - Class in com.yahoo.labs.samoa.learners.classifiers.ensemble: The Class BoostingPredictionCombinerProcessor.
BoostingPredictionCombinerProcessor() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.ensemble.BoostingPredictionCombinerProcessor
branchForInstance(Instance) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.InstanceConditionalTest: Returns the number of the branch for an instance, -1 if unknown.
branchForInstance(Instance) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NominalAttributeBinaryTest
branchForInstance(Instance) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NominalAttributeMultiwayTest
branchForInstance(Instance) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NumericAttributeBinaryTest
branchForInstance(Instance) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate
breakUp(String, int) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Breaks up the string, if wider than "columns" characters.
BROADCAST - Static variable in class com.yahoo.labs.samoa.topology.impl.S4Stream
BROADCAST - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
BROKER_URI_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
build() - Method in class com.yahoo.labs.samoa.evaluation.ClusteringEvaluatorProcessor.Builder
build() - Method in class com.yahoo.labs.samoa.evaluation.EvaluatorProcessor.Builder
build() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
build() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule.Builder
build() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron.PerceptronData
build() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean.TargetMeanData
build() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor.Builder
build() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor.Builder
build() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor.Builder
build() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
build() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesStatisticsProcessor.Builder
build() - Method in class com.yahoo.labs.samoa.topology.TopologyBuilder: Returns the platform specific topology.
buildModulesPackage(List<String>) - Static method in class com.yahoo.labs.samoa.utils.Utils
buildSamoaPackage() - Static method in class com.yahoo.labs.samoa.utils.Utils

C

cast(Object) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Casting an object without "unchecked" compile-time warnings.
CFCluster - Class in com.yahoo.labs.samoa.moa.cluster
CFCluster(Instance, int) - Constructor for class com.yahoo.labs.samoa.moa.cluster.CFCluster: Instantiates an empty kernel with the given dimensionality.
CFCluster(double[], int) - Constructor for class com.yahoo.labs.samoa.moa.cluster.CFCluster
CFCluster(CFCluster) - Constructor for class com.yahoo.labs.samoa.moa.cluster.CFCluster
changeCluster(ClusterEvent) - Method in interface com.yahoo.labs.samoa.moa.streams.clustering.ClusterEventListener
changeDetection(boolean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
changeDetection(boolean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule.Builder
changeDetection(boolean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor.Builder
changeDetection(boolean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
ChangeDetector - Interface in com.yahoo.labs.samoa.moa.classifiers.core.driftdetection: Change Detector interface to implement methods that detects change.
checkForRemainingOptions(String[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Checks if the given array contains any non-empty options.
chiSquaredProbability(double, double) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Returns chi-squared probability for given value and degrees of freedom.
chooseRandomIndexBasedOnWeights(double[], Random) - Static method in class com.yahoo.labs.samoa.moa.core.MiscUtils
cindex(Clustering, ArrayList<DataPoint>) - Method in class com.yahoo.labs.samoa.evaluation.measures.StatisticalCollection
classAttribute() - Method in interface com.yahoo.labs.samoa.instances.Instance
classAttribute() - Method in class com.yahoo.labs.samoa.instances.InstanceInformation
classAttribute() - Method in class com.yahoo.labs.samoa.instances.Instances
classAttribute() - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
classCountsLeft - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver.Node
classCountsRight - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver.Node
ClassificationLearner - Interface in com.yahoo.labs.samoa.learners
ClassificationPerformanceEvaluator - Interface in com.yahoo.labs.samoa.evaluation
Classifier - Interface in com.yahoo.labs.samoa.moa.classifiers: Classifier interface for incremental classification models.
classifierRandom - Variable in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier: Random Generator used in randomizable learners
classIndex() - Method in interface com.yahoo.labs.samoa.instances.Instance
classIndex() - Method in class com.yahoo.labs.samoa.instances.InstanceInformation
classIndex() - Method in class com.yahoo.labs.samoa.instances.Instances
classIndex() - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
classIndexOption - Variable in class com.yahoo.labs.samoa.moa.streams.ArffFileStream
classIndexOption - Variable in class com.yahoo.labs.samoa.streams.ArffFileStream
classIsMissing() - Method in interface com.yahoo.labs.samoa.instances.Instance
classIsMissing() - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
ClassOption - Class in com.yahoo.labs.samoa.moa.options: Class option.
ClassOption(String, char, String, Class<?>, String) - Constructor for class com.yahoo.labs.samoa.moa.options.ClassOption
ClassOption(String, char, String, Class<?>, String, String) - Constructor for class com.yahoo.labs.samoa.moa.options.ClassOption
classToCLIString(Class<?>, Class<?>) - Static method in class com.yahoo.labs.samoa.moa.options.AbstractClassOption: Gets the command line interface text of the class.
classValue() - Method in interface com.yahoo.labs.samoa.instances.Instance
classValue() - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
classValues(List<? extends Instance>) - Static method in class com.yahoo.labs.samoa.moa.cluster.Clustering
clean(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
clear() - Method in class com.yahoo.labs.samoa.moa.core.AutoExpandVector
clearThreadPool() - Static method in class com.yahoo.labs.samoa.topology.impl.ThreadsEngine
cliStringToObject(String, Class<?>, Option[]) - Static method in class com.yahoo.labs.samoa.moa.options.ClassOption
Cluster - Class in com.yahoo.labs.samoa.moa.cluster
Cluster() - Constructor for class com.yahoo.labs.samoa.moa.cluster.Cluster
clusterAddOption - Variable in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
Clusterer - Interface in com.yahoo.labs.samoa.moa.clusterers
ClusterEvent - Class in com.yahoo.labs.samoa.moa.streams.clustering
ClusterEvent(Object, long, String, String) - Constructor for class com.yahoo.labs.samoa.moa.streams.clustering.ClusterEvent
ClusterEventListener - Interface in com.yahoo.labs.samoa.moa.streams.clustering
ClusterGenerator - Class in com.yahoo.labs.samoa.moa.clusterers
ClusterGenerator() - Constructor for class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
Clustering - Class in com.yahoo.labs.samoa.moa.cluster
Clustering() - Constructor for class com.yahoo.labs.samoa.moa.cluster.Clustering
Clustering(Cluster[]) - Constructor for class com.yahoo.labs.samoa.moa.cluster.Clustering
Clustering(List<? extends Instance>) - Constructor for class com.yahoo.labs.samoa.moa.cluster.Clustering
Clustering(ArrayList<DataPoint>, double, int) - Constructor for class com.yahoo.labs.samoa.moa.cluster.Clustering
Clustering(AutoExpandVector<Cluster>) - Constructor for class com.yahoo.labs.samoa.moa.cluster.Clustering
ClusteringContentEvent - Class in com.yahoo.labs.samoa.learners.clusterers: The Class ClusteringContentEvent.
ClusteringContentEvent() - Constructor for class com.yahoo.labs.samoa.learners.clusterers.ClusteringContentEvent
ClusteringContentEvent(long, Instance) - Constructor for class com.yahoo.labs.samoa.learners.clusterers.ClusteringContentEvent: Instantiates a new clustering event.
ClusteringDistributorProcessor - Class in com.yahoo.labs.samoa.learners.clusterers.simple: The Class ClusteringDistributorPE.
ClusteringDistributorProcessor() - Constructor for class com.yahoo.labs.samoa.learners.clusterers.simple.ClusteringDistributorProcessor
ClusteringEntranceProcessor - Class in com.yahoo.labs.samoa.streams: EntranceProcessor for Clustering Evaluation Task.
ClusteringEntranceProcessor() - Constructor for class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
ClusteringEvaluation - Class in com.yahoo.labs.samoa.tasks: A task that runs and evaluates a distributed clustering algorithm.
ClusteringEvaluation() - Constructor for class com.yahoo.labs.samoa.tasks.ClusteringEvaluation
ClusteringEvaluationContentEvent - Class in com.yahoo.labs.samoa.evaluation: The Class Clustering ResultEvent.
ClusteringEvaluationContentEvent() - Constructor for class com.yahoo.labs.samoa.evaluation.ClusteringEvaluationContentEvent
ClusteringEvaluationContentEvent(boolean) - Constructor for class com.yahoo.labs.samoa.evaluation.ClusteringEvaluationContentEvent
ClusteringEvaluationContentEvent(Clustering, DataPoint, boolean) - Constructor for class com.yahoo.labs.samoa.evaluation.ClusteringEvaluationContentEvent: Instantiates a new gtClustering result event.
ClusteringEvaluatorProcessor - Class in com.yahoo.labs.samoa.evaluation
ClusteringEvaluatorProcessor.Builder - Class in com.yahoo.labs.samoa.evaluation
ClusteringEvaluatorProcessor.Builder(int) - Constructor for class com.yahoo.labs.samoa.evaluation.ClusteringEvaluatorProcessor.Builder
ClusteringEvaluatorProcessor.Builder(ClusteringEvaluatorProcessor) - Constructor for class com.yahoo.labs.samoa.evaluation.ClusteringEvaluatorProcessor.Builder
ClusteringResultContentEvent - Class in com.yahoo.labs.samoa.evaluation: The Class Clustering ResultEvent.
ClusteringResultContentEvent() - Constructor for class com.yahoo.labs.samoa.evaluation.ClusteringResultContentEvent
ClusteringResultContentEvent(boolean) - Constructor for class com.yahoo.labs.samoa.evaluation.ClusteringResultContentEvent
ClusteringResultContentEvent(Clustering, boolean) - Constructor for class com.yahoo.labs.samoa.evaluation.ClusteringResultContentEvent: Instantiates a new clustering result event.
ClusteringStream - Class in com.yahoo.labs.samoa.moa.streams.clustering
ClusteringStream() - Constructor for class com.yahoo.labs.samoa.moa.streams.clustering.ClusteringStream
clusterRemoveOption - Variable in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
Clustream - Class in com.yahoo.labs.samoa.moa.clusterers.clustream: Citation: CluStream: Charu C.
Clustream() - Constructor for class com.yahoo.labs.samoa.moa.clusterers.clustream.Clustream
ClustreamClustererAdapter - Class in com.yahoo.labs.samoa.learners.clusterers: Base class for adapting Clustream clusterer.
ClustreamClustererAdapter(Clusterer, Instances) - Constructor for class com.yahoo.labs.samoa.learners.clusterers.ClustreamClustererAdapter: Instantiates a new learner.
ClustreamClustererAdapter() - Constructor for class com.yahoo.labs.samoa.learners.clusterers.ClustreamClustererAdapter: Instantiates a new learner.
ClustreamKernel - Class in com.yahoo.labs.samoa.moa.clusterers.clustream
ClustreamKernel(Instance, int, long, double, int) - Constructor for class com.yahoo.labs.samoa.moa.clusterers.clustream.ClustreamKernel
ClustreamKernel(ClustreamKernel, double, int) - Constructor for class com.yahoo.labs.samoa.moa.clusterers.clustream.ClustreamKernel
CMM - Class in com.yahoo.labs.samoa.evaluation.measures: [CMM.java] CMM: Main class Reference: Kremer et al., "An Effective Evaluation Measure for Clustering on Evolving Data Streams", KDD, 2011
CMM() - Constructor for class com.yahoo.labs.samoa.evaluation.measures.CMM
CMM_GTAnalysis - Class in com.yahoo.labs.samoa.evaluation.measures: [CMM_GTAnalysis.java] CMM: Ground truth analysis Reference: Kremer et al., "An Effective Evaluation Measure for Clustering on Evolving Data Streams", KDD, 2011
CMM_GTAnalysis(Clustering, ArrayList<DataPoint>, boolean) - Constructor for class com.yahoo.labs.samoa.evaluation.measures.CMM_GTAnalysis
COLON - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
com.yahoo.labs.samoa - package com.yahoo.labs.samoa
com.yahoo.labs.samoa.core - package com.yahoo.labs.samoa.core
com.yahoo.labs.samoa.evaluation - package com.yahoo.labs.samoa.evaluation
com.yahoo.labs.samoa.evaluation.measures - package com.yahoo.labs.samoa.evaluation.measures
com.yahoo.labs.samoa.examples - package com.yahoo.labs.samoa.examples
com.yahoo.labs.samoa.instances - package com.yahoo.labs.samoa.instances
com.yahoo.labs.samoa.learners - package com.yahoo.labs.samoa.learners
com.yahoo.labs.samoa.learners.classifiers - package com.yahoo.labs.samoa.learners.classifiers
com.yahoo.labs.samoa.learners.classifiers.ensemble - package com.yahoo.labs.samoa.learners.classifiers.ensemble
com.yahoo.labs.samoa.learners.classifiers.rules - package com.yahoo.labs.samoa.learners.classifiers.rules
com.yahoo.labs.samoa.learners.classifiers.rules.centralized - package com.yahoo.labs.samoa.learners.classifiers.rules.centralized
com.yahoo.labs.samoa.learners.classifiers.rules.common - package com.yahoo.labs.samoa.learners.classifiers.rules.common
com.yahoo.labs.samoa.learners.classifiers.rules.distributed - package com.yahoo.labs.samoa.learners.classifiers.rules.distributed
com.yahoo.labs.samoa.learners.classifiers.trees - package com.yahoo.labs.samoa.learners.classifiers.trees
com.yahoo.labs.samoa.learners.clusterers - package com.yahoo.labs.samoa.learners.clusterers
com.yahoo.labs.samoa.learners.clusterers.simple - package com.yahoo.labs.samoa.learners.clusterers.simple
com.yahoo.labs.samoa.moa - package com.yahoo.labs.samoa.moa
com.yahoo.labs.samoa.moa.classifiers - package com.yahoo.labs.samoa.moa.classifiers
com.yahoo.labs.samoa.moa.classifiers.core - package com.yahoo.labs.samoa.moa.classifiers.core
com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers - package com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers
com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests - package com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests
com.yahoo.labs.samoa.moa.classifiers.core.driftdetection - package com.yahoo.labs.samoa.moa.classifiers.core.driftdetection
com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria - package com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria
com.yahoo.labs.samoa.moa.classifiers.functions - package com.yahoo.labs.samoa.moa.classifiers.functions
com.yahoo.labs.samoa.moa.classifiers.rules.core - package com.yahoo.labs.samoa.moa.classifiers.rules.core
com.yahoo.labs.samoa.moa.classifiers.rules.core.attributeclassobservers - package com.yahoo.labs.samoa.moa.classifiers.rules.core.attributeclassobservers
com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests - package com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests
com.yahoo.labs.samoa.moa.classifiers.rules.core.splitcriteria - package com.yahoo.labs.samoa.moa.classifiers.rules.core.splitcriteria
com.yahoo.labs.samoa.moa.classifiers.rules.core.voting - package com.yahoo.labs.samoa.moa.classifiers.rules.core.voting
com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection - package com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection
com.yahoo.labs.samoa.moa.cluster - package com.yahoo.labs.samoa.moa.cluster
com.yahoo.labs.samoa.moa.clusterers - package com.yahoo.labs.samoa.moa.clusterers
com.yahoo.labs.samoa.moa.clusterers.clustream - package com.yahoo.labs.samoa.moa.clusterers.clustream
com.yahoo.labs.samoa.moa.core - package com.yahoo.labs.samoa.moa.core
com.yahoo.labs.samoa.moa.evaluation - package com.yahoo.labs.samoa.moa.evaluation
com.yahoo.labs.samoa.moa.learners - package com.yahoo.labs.samoa.moa.learners
com.yahoo.labs.samoa.moa.options - package com.yahoo.labs.samoa.moa.options
com.yahoo.labs.samoa.moa.streams - package com.yahoo.labs.samoa.moa.streams
com.yahoo.labs.samoa.moa.streams.clustering - package com.yahoo.labs.samoa.moa.streams.clustering
com.yahoo.labs.samoa.moa.streams.generators - package com.yahoo.labs.samoa.moa.streams.generators
com.yahoo.labs.samoa.moa.tasks - package com.yahoo.labs.samoa.moa.tasks
com.yahoo.labs.samoa.streams - package com.yahoo.labs.samoa.streams
com.yahoo.labs.samoa.streams.fs - package com.yahoo.labs.samoa.streams.fs
com.yahoo.labs.samoa.tasks - package com.yahoo.labs.samoa.tasks
com.yahoo.labs.samoa.topology - package com.yahoo.labs.samoa.topology
com.yahoo.labs.samoa.topology.impl - package com.yahoo.labs.samoa.topology.impl
com.yahoo.labs.samoa.utils - package com.yahoo.labs.samoa.utils
combine(SphereCluster) - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster
COMMA - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
compareTo(AttributeSplitSuggestion) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.AttributeSplitSuggestion
ComponentFactory - Interface in com.yahoo.labs.samoa.topology: ComponentFactory interface.
compress(long) - Method in class com.yahoo.labs.samoa.moa.core.GreenwaldKhannaQuantileSummary
compressBuckets() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
computeBandBoundaries(long) - Static method in class com.yahoo.labs.samoa.moa.core.GreenwaldKhannaQuantileSummary
computeBranchSplitMerits(double[][]) - Static method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.splitcriteria.SDRSplitCriterionAMRules
ComputeContentEvent - Class in com.yahoo.labs.samoa.learners.classifiers.trees: Compute content event is the message that is sent by Model Aggregator Processor to request Local Statistic PI to start the local statistic calculation for splitting
ComputeContentEvent() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.trees.ComputeContentEvent
ComputeContentEvent.ComputeCEFullPrecSerializer - Class in com.yahoo.labs.samoa.learners.classifiers.trees: The Kryo serializer class for ComputeContentEevent when executing on top of Storm with full precision of the statistics.
ComputeContentEvent.ComputeCEFullPrecSerializer() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.trees.ComputeContentEvent.ComputeCEFullPrecSerializer
ComputeContentEvent.ComputeCESerializer - Class in com.yahoo.labs.samoa.learners.classifiers.trees: The Kryo serializer class for ComputeContentEevent when executing on top of Storm.
ComputeContentEvent.ComputeCESerializer() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.trees.ComputeContentEvent.ComputeCESerializer
computeEntropy(double[]) - Static method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.InfoGainSplitCriterion
computeEntropy(double[][]) - Static method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.InfoGainSplitCriterion
computeEntropy(double[]) - Static method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.InfoGainSplitCriterionMultilabel
computeError(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.LearningRule
computeError(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
computeGini(double[], double) - Static method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.GiniSplitCriterion
computeGini(double[]) - Static method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.GiniSplitCriterion
computeHoeffdingBound(double, double, double) - Static method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
computeProbability(double, double, double) - Static method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
computeSD(double, double, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
computeSD(double, double, long) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
computeSD(double[]) - Static method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.SDRSplitCriterion
computeSD(double[]) - Static method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.VarianceReductionSplitCriterion
computeWeightedVote() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.AbstractErrorWeightedVote
computeWeightedVote() - Method in interface com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.ErrorWeightedVote: Computes the weighted vote.
computeWeightedVote() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.InverseErrorWeightedVote
computeWeightedVote() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.UniformWeightedVote
connectInputAllStream(Stream) - Method in class com.yahoo.labs.samoa.topology.AbstractProcessingItem: Add an input stream to this ProcessingItem with BROADCAST scheme
connectInputAllStream(Stream) - Method in class com.yahoo.labs.samoa.topology.impl.S4ProcessingItem
connectInputAllStream(Stream) - Method in interface com.yahoo.labs.samoa.topology.ProcessingItem: Connects this processing item to the stream in a broadcast fashion.
connectInputAllStream(Stream, Processor) - Method in class com.yahoo.labs.samoa.topology.TopologyBuilder
connectInputKeyStream(Stream) - Method in class com.yahoo.labs.samoa.topology.AbstractProcessingItem: Add an input stream to this ProcessingItem with GROUP_BY_KEY scheme
connectInputKeyStream(Stream) - Method in class com.yahoo.labs.samoa.topology.impl.S4ProcessingItem
connectInputKeyStream(Stream) - Method in interface com.yahoo.labs.samoa.topology.ProcessingItem: Connects this processing item taking the event key into account.
connectInputKeyStream(Stream, Processor) - Method in class com.yahoo.labs.samoa.topology.TopologyBuilder
connectInputShuffleStream(Stream) - Method in class com.yahoo.labs.samoa.topology.AbstractProcessingItem: Add an input stream to this ProcessingItem with SHUFFLE scheme
connectInputShuffleStream(Stream) - Method in class com.yahoo.labs.samoa.topology.impl.S4ProcessingItem
connectInputShuffleStream(Stream) - Method in interface com.yahoo.labs.samoa.topology.ProcessingItem: Connects this processing item in a round robin fashion.
connectInputShuffleStream(Stream, Processor) - Method in class com.yahoo.labs.samoa.topology.TopologyBuilder
constantLearningRatioDecay(boolean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
constantLearningRatioDecay(boolean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule.Builder
constantLearningRatioDecay(boolean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor.Builder
constantLearningRatioDecay(boolean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
constantLearningRatioDecayOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
constantLearningRatioDecayOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
constantLearningRatioDecayOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
CONTAINER_COUNT_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
CONTAINER_MEMORY_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
ContentEvent - Interface in com.yahoo.labs.samoa.core: The Interface ContentEvent.
contextIsCompatible(InstancesHeader, InstancesHeader) - Static method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier: Returns if two contexts or headers of instances are compatible.

Two contexts are compatible if they follow the following rules:
Rule 1: num classes can increase but never decrease
Rule 2: num attributes can increase but never decrease
Rule 3: num nominal attribute values can increase but never decrease
Rule 4: attribute types must stay in the same order (although class can move; is always skipped over)

Attribute names are free to change, but should always still represent the original attributes.
contextIsCompatible(InstancesHeader, InstancesHeader) - Static method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
convertNewLines(String) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Converts carriage returns and new lines in a string into \r and \n.
convertToRelativePath(File) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Converts a File's absolute path to a path relative to the user (ie start) directory.
coord(int, int) - Method in class com.yahoo.labs.samoa.moa.cluster.Miniball.PointStorage
copy() - Method in interface com.yahoo.labs.samoa.instances.Instance
copy() - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
copy() - Method in class com.yahoo.labs.samoa.moa.AbstractMOAObject
copy(MOAObject) - Static method in class com.yahoo.labs.samoa.moa.AbstractMOAObject: This method produces a copy of an object.
copy() - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
copy() - Method in interface com.yahoo.labs.samoa.moa.classifiers.Classifier: Produces a copy of this learner.
copy() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.AbstractChangeDetector: Produces a copy of this change detector method
copy() - Method in interface com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ChangeDetector: Produces a copy of this drift detection method
copy() - Method in interface com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.ErrorWeightedVote: Creates a copy of the object
copy() - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
copy() - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
copy() - Method in class com.yahoo.labs.samoa.moa.core.AutoExpandVector
copy() - Method in interface com.yahoo.labs.samoa.moa.MOAObject: This method produces a copy of this object.
copy() - Method in class com.yahoo.labs.samoa.moa.options.AbstractOptionHandler
copy() - Method in interface com.yahoo.labs.samoa.moa.options.OptionHandler: This method produces a copy of this object.
copyObject(Serializable) - Static method in class com.yahoo.labs.samoa.moa.core.SerializeUtils
copyrightNotice - Static variable in class com.yahoo.labs.samoa.core.Globals
copyToHDFS(File, String) - Static method in class com.yahoo.labs.samoa.utils.SystemsUtils
correctlyClassifies(Instance) - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
correctlyClassifies(Instance) - Method in interface com.yahoo.labs.samoa.moa.classifiers.Classifier: Gets whether this classifier correctly classifies an instance.
correlation(double[], double[], int) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns the correlation coefficient of two double vectors.
create() - Method in interface com.yahoo.labs.samoa.learners.classifiers.LocalLearner: Creates a new learner object.
create() - Method in class com.yahoo.labs.samoa.learners.classifiers.NaiveBayes: Create an instance of this LocalLearner implementation.
create() - Method in class com.yahoo.labs.samoa.learners.classifiers.SimpleClassifierAdapter: Creates a new learner object.
create() - Method in class com.yahoo.labs.samoa.learners.clusterers.ClustreamClustererAdapter: Creates a new learner object.
create() - Method in interface com.yahoo.labs.samoa.learners.clusterers.LocalClustererAdapter: Creates a new learner object.
createEntrancePi(EntranceProcessor) - Method in interface com.yahoo.labs.samoa.topology.ComponentFactory: Creates a platform specific processing item with the specified processor that is the entrance point in the topology.
createEntrancePi(EntranceProcessor) - Method in class com.yahoo.labs.samoa.topology.impl.S4ComponentFactory
createEntrancePi(EntranceProcessor) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaComponentFactory
createEntrancePi(EntranceProcessor) - Method in class com.yahoo.labs.samoa.topology.impl.SimpleComponentFactory
createEntrancePi(EntranceProcessor) - Method in class com.yahoo.labs.samoa.topology.impl.StormComponentFactory
createEntrancePi(EntranceProcessor) - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsComponentFactory
createInputAllStream(Processor, Processor) - Method in class com.yahoo.labs.samoa.topology.TopologyBuilder
createInputKeyStream(Processor, Processor) - Method in class com.yahoo.labs.samoa.topology.TopologyBuilder
createInputShuffleStream(Processor, Processor) - Method in class com.yahoo.labs.samoa.topology.TopologyBuilder
createKafkaTopic(String, int) - Static method in class com.yahoo.labs.samoa.utils.SystemsUtils
createKafkaTopic(String, int, int) - Static method in class com.yahoo.labs.samoa.utils.SystemsUtils
createManifest() - Static method in class com.yahoo.labs.samoa.utils.Utils
createPE(Class<T>) - Method in class com.yahoo.labs.samoa.topology.impl.S4DoTask
createPi(Processor) - Method in interface com.yahoo.labs.samoa.topology.ComponentFactory: Creates a platform specific processing item with the specified processor.
createPi(Processor, int) - Method in interface com.yahoo.labs.samoa.topology.ComponentFactory: Creates a platform specific processing item with the specified processor.
createPi(Processor, int) - Method in class com.yahoo.labs.samoa.topology.impl.S4ComponentFactory
createPi(Processor) - Method in class com.yahoo.labs.samoa.topology.impl.S4ComponentFactory
createPi(Processor) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaComponentFactory
createPi(Processor, int) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaComponentFactory
createPi(Processor, int) - Method in class com.yahoo.labs.samoa.topology.impl.SimpleComponentFactory
createPi(Processor) - Method in class com.yahoo.labs.samoa.topology.impl.SimpleComponentFactory
createPi(Processor) - Method in class com.yahoo.labs.samoa.topology.impl.StormComponentFactory
createPi(Processor, int) - Method in class com.yahoo.labs.samoa.topology.impl.StormComponentFactory
createPi(Processor) - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsComponentFactory
createPi(Processor, int) - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsComponentFactory
createStream(IProcessingItem) - Method in interface com.yahoo.labs.samoa.topology.ComponentFactory: Creates a platform specific stream.
createStream(IProcessingItem) - Method in class com.yahoo.labs.samoa.topology.impl.S4ComponentFactory
createStream(String, KeyFinder<T>, ProcessingElement...) - Method in class com.yahoo.labs.samoa.topology.impl.S4DoTask
createStream(String, ProcessingElement...) - Method in class com.yahoo.labs.samoa.topology.impl.S4DoTask
createStream(IProcessingItem) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaComponentFactory
createStream(IProcessingItem) - Method in class com.yahoo.labs.samoa.topology.impl.SimpleComponentFactory
createStream(IProcessingItem) - Method in class com.yahoo.labs.samoa.topology.impl.StormComponentFactory
createStream(IProcessingItem) - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsComponentFactory
createStream(Processor) - Method in class com.yahoo.labs.samoa.topology.TopologyBuilder
createTopology(String) - Method in interface com.yahoo.labs.samoa.topology.ComponentFactory: Creates a platform specific topology.
createTopology(String) - Method in class com.yahoo.labs.samoa.topology.impl.S4ComponentFactory
createTopology(String) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaComponentFactory
createTopology(String) - Method in class com.yahoo.labs.samoa.topology.impl.SimpleComponentFactory
createTopology(String) - Method in class com.yahoo.labs.samoa.topology.impl.StormComponentFactory
createTopology(String) - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsComponentFactory
CusumDM - Class in com.yahoo.labs.samoa.moa.classifiers.core.driftdetection: Drift detection method based in Cusum
CusumDM() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.CusumDM
cut_point - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver.Node
cut_point - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression.Node

D

DataPoint - Class in com.yahoo.labs.samoa.moa.core
DataPoint(Instance, Integer) - Constructor for class com.yahoo.labs.samoa.moa.core.DataPoint
dataset() - Method in interface com.yahoo.labs.samoa.instances.Instance
dataset() - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
DDM - Class in com.yahoo.labs.samoa.moa.classifiers.core.driftdetection: Drift detection method based in DDM method of Joao Gama SBIA 2004.
DDM() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.DDM
debug - Variable in class com.yahoo.labs.samoa.evaluation.measures.CMM: enable/disable debug mode
decayHorizon(int) - Method in class com.yahoo.labs.samoa.evaluation.ClusteringEvaluatorProcessor.Builder
decayHorizonOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.ClusteringStream
decayThresholdOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.ClusteringStream
delete() - Method in class com.yahoo.labs.samoa.instances.Instances
deleteAttributeAt(int) - Method in interface com.yahoo.labs.samoa.instances.Instance
deleteAttributeAt(Integer) - Method in class com.yahoo.labs.samoa.instances.InstanceInformation
deleteAttributeAt(Integer) - Method in class com.yahoo.labs.samoa.instances.Instances
deleteAttributeAt(int) - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
deleteElement() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
DELTA - Static variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
deltaAdwinOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWINChangeDetector
deltaOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.CusumDM
deltaOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.PageHinkleyDM
DenseInstance - Class in com.yahoo.labs.samoa.instances
DenseInstance() - Constructor for class com.yahoo.labs.samoa.instances.DenseInstance
DenseInstance(double, double[]) - Constructor for class com.yahoo.labs.samoa.instances.DenseInstance
DenseInstance(SingleLabelInstance) - Constructor for class com.yahoo.labs.samoa.instances.DenseInstance
DenseInstance(Instance) - Constructor for class com.yahoo.labs.samoa.instances.DenseInstance
DenseInstance(double) - Constructor for class com.yahoo.labs.samoa.instances.DenseInstance
DenseInstanceData - Class in com.yahoo.labs.samoa.instances
DenseInstanceData(double[]) - Constructor for class com.yahoo.labs.samoa.instances.DenseInstanceData
DenseInstanceData(int) - Constructor for class com.yahoo.labs.samoa.instances.DenseInstanceData
DenseInstanceData() - Constructor for class com.yahoo.labs.samoa.instances.DenseInstanceData
densityRangeOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
deployTask(Task) - Method in class com.yahoo.labs.samoa.topology.impl.S4Submitter
deployTask(Task) - Method in interface com.yahoo.labs.samoa.topology.ISubmitter: Deploy a specific task to a platform.
describeConditionForBranch(int, InstancesHeader) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.InstanceConditionalTest: Gets the text that describes the condition of a branch.
describeConditionForBranch(int, InstancesHeader) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NominalAttributeBinaryTest
describeConditionForBranch(int, InstancesHeader) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NominalAttributeMultiwayTest
describeConditionForBranch(int, InstancesHeader) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NumericAttributeBinaryTest
describeConditionForBranch(int, InstancesHeader) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate
deserialize(ByteBuffer) - Method in class com.yahoo.labs.samoa.topology.impl.SamoaSerializer
deserializeMapFromFile(String, String) - Static method in class com.yahoo.labs.samoa.utils.SystemsUtils
deserializeObjectFromFileAndKey(String, String, String) - Static method in class com.yahoo.labs.samoa.utils.SystemsUtils
dimension() - Method in class com.yahoo.labs.samoa.moa.cluster.Clustering
dimension() - Method in class com.yahoo.labs.samoa.moa.cluster.Miniball.PointStorage
DiscreteAttributeClassObserver - Interface in com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers: Interface for observing the class data distribution for a discrete (nominal) attribute.
DistributedClusterer - Class in com.yahoo.labs.samoa.learners.clusterers.simple: Learner that contain a single learner.
DistributedClusterer() - Constructor for class com.yahoo.labs.samoa.learners.clusterers.simple.DistributedClusterer
DOLLAR_SIGN - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
DOT - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
doTask() - Method in interface com.yahoo.labs.samoa.moa.tasks.Task: This method performs this task, when TaskMonitor and ObjectRepository are no needed.
doTask(TaskMonitor, ObjectRepository) - Method in interface com.yahoo.labs.samoa.moa.tasks.Task: This method performs this task.
doubleToString(double, int) - Static method in class com.yahoo.labs.samoa.moa.core.StringUtils
doubleToString(double, int, int) - Static method in class com.yahoo.labs.samoa.moa.core.StringUtils
doubleToString(double, int) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Rounds a double and converts it into String.
doubleToString(double, int, int) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Rounds a double and converts it into a formatted decimal-justified String.
DoubleVector - Class in com.yahoo.labs.samoa.core
DoubleVector() - Constructor for class com.yahoo.labs.samoa.core.DoubleVector
DoubleVector(double[]) - Constructor for class com.yahoo.labs.samoa.core.DoubleVector
DoubleVector(DoubleVector) - Constructor for class com.yahoo.labs.samoa.core.DoubleVector
DoubleVector - Class in com.yahoo.labs.samoa.moa.core: Vector of double numbers with some utilities.
DoubleVector() - Constructor for class com.yahoo.labs.samoa.moa.core.DoubleVector
DoubleVector(double[]) - Constructor for class com.yahoo.labs.samoa.moa.core.DoubleVector
DoubleVector(DoubleVector) - Constructor for class com.yahoo.labs.samoa.moa.core.DoubleVector
driftDetectionMethodOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.ensemble.AdaptiveBagging
DriftDetectionOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
DriftDetectionOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
DriftDetectionOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
dumpFile(File) - Method in class com.yahoo.labs.samoa.evaluation.ClusteringEvaluatorProcessor.Builder
dumpFile(File) - Method in class com.yahoo.labs.samoa.evaluation.EvaluatorProcessor.Builder
dumpFileOption - Variable in class com.yahoo.labs.samoa.tasks.ClusteringEvaluation
dumpFileOption - Variable in class com.yahoo.labs.samoa.tasks.PrequentialEvaluation

E

EDDM - Class in com.yahoo.labs.samoa.moa.classifiers.core.driftdetection: Drift detection method based in EDDM method of Manuel Baena et al.
EDDM() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.EDDM
elementAt(int) - Method in class com.yahoo.labs.samoa.moa.core.FastVector: Returns the element at the given position.
enableClassMerge - Variable in class com.yahoo.labs.samoa.evaluation.measures.CMM: enable/disable class merge (main feature of ground truth analysis)
enableModelError - Variable in class com.yahoo.labs.samoa.evaluation.measures.CMM: enable/disable model error when enabled errors that are caused by the underling cluster model will not be counted
ensembleSizeOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.ensemble.AdaptiveBagging: The ensemble size option.
ensembleSizeOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.ensemble.Bagging: The ensemble size option.
ensembleSizeOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.ensemble.Boosting: The ensemble size option.
ENTRANCE_INPUT_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
ENTRANCE_OUTPUT_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
EntranceProcessingItem - Interface in com.yahoo.labs.samoa.topology: Entrance processing item interface.
EntranceProcessor - Interface in com.yahoo.labs.samoa.core: An EntranceProcessor is a specific kind of processor dedicated to providing events to inject in the topology.
EntropyCollection - Class in com.yahoo.labs.samoa.evaluation.measures
EntropyCollection() - Constructor for class com.yahoo.labs.samoa.evaluation.measures.EntropyCollection
entryToString(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.LearningCurve
eq(double, double) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Tests if a is equal to b.
equals(Object) - Method in class com.yahoo.labs.samoa.core.DoubleVector
errorFunction(double) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Returns the error function of the normal distribution.
errorFunctionComplemented(double) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Returns the complementary Error function of the normal distribution.
ErrorWeightedVote - Interface in com.yahoo.labs.samoa.moa.classifiers.rules.core.voting: ErrorWeightedVote interface for weighted votes based on estimates of errors.
estimatedRemainingInstances() - Method in class com.yahoo.labs.samoa.moa.streams.ArffFileStream
estimatedRemainingInstances() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
estimatedRemainingInstances() - Method in interface com.yahoo.labs.samoa.moa.streams.ExampleStream: Gets the estimated number of remaining instances in this stream
estimatedRemainingInstances() - Method in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
estimatedRemainingInstances() - Method in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
estimatedRemainingInstances() - Method in class com.yahoo.labs.samoa.streams.FileStream
estimatedWeight_LessThan_EqualTo_GreaterThan_Value(double) - Method in class com.yahoo.labs.samoa.moa.core.GaussianEstimator
evalTask - Variable in class com.yahoo.labs.samoa.topology.impl.S4DoTask
evaluate(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleSplitNode
evaluate(Instance) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate
evaluate(Instance) - Method in interface com.yahoo.labs.samoa.moa.classifiers.rules.core.Predicate
evaluateClustering(Clustering, Clustering, ArrayList<DataPoint>) - Method in class com.yahoo.labs.samoa.evaluation.measures.CMM
evaluateClustering(Clustering, Clustering, ArrayList<DataPoint>) - Method in class com.yahoo.labs.samoa.evaluation.measures.EntropyCollection
evaluateClustering(Clustering, Clustering, ArrayList<DataPoint>) - Method in class com.yahoo.labs.samoa.evaluation.measures.F1
evaluateClustering(Clustering, Clustering, ArrayList<DataPoint>) - Method in class com.yahoo.labs.samoa.evaluation.measures.General
evaluateClustering(Clustering, Clustering, ArrayList<DataPoint>) - Method in class com.yahoo.labs.samoa.evaluation.measures.SilhouetteCoefficient
evaluateClustering(Clustering, Clustering, ArrayList<DataPoint>) - Method in class com.yahoo.labs.samoa.evaluation.measures.SSQ
evaluateClustering(Clustering, Clustering, ArrayList<DataPoint>) - Method in class com.yahoo.labs.samoa.evaluation.measures.StatisticalCollection
evaluateClusteringPerformance(Clustering, Clustering, ArrayList<DataPoint>) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
evaluateClusteringSamoa(Clustering, Clustering, ArrayList<Instance>) - Method in class com.yahoo.labs.samoa.evaluation.measures.Separation
evaluateClusteringSamoa(Clustering, Clustering, ArrayList<Instance>) - Method in class com.yahoo.labs.samoa.evaluation.measures.SSQ
evaluateMicroClusteringOption - Variable in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
evaluationFrequencyOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.ClusteringStream
evaluationNameOption - Variable in class com.yahoo.labs.samoa.examples.HelloWorldTask
evaluationNameOption - Variable in class com.yahoo.labs.samoa.tasks.ClusteringEvaluation
evaluationNameOption - Variable in class com.yahoo.labs.samoa.tasks.PrequentialEvaluation
evaluatorOption - Variable in class com.yahoo.labs.samoa.tasks.PrequentialEvaluation
EvaluatorProcessor - Class in com.yahoo.labs.samoa.evaluation
EvaluatorProcessor.Builder - Class in com.yahoo.labs.samoa.evaluation
EvaluatorProcessor.Builder(PerformanceEvaluator) - Constructor for class com.yahoo.labs.samoa.evaluation.EvaluatorProcessor.Builder
EvaluatorProcessor.Builder(EvaluatorProcessor) - Constructor for class com.yahoo.labs.samoa.evaluation.EvaluatorProcessor.Builder
eventDeleteCreateOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
eventFrequencyOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
eventMergeSplitOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
EWMAChartDM - Class in com.yahoo.labs.samoa.moa.classifiers.core.driftdetection: Drift detection method based in EWMA Charts of Ross, Adams, Tasoulis and Hand 2012
EWMAChartDM() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.EWMAChartDM
Example<T> - Interface in com.yahoo.labs.samoa.moa.core
ExampleStream<E extends Example> - Interface in com.yahoo.labs.samoa.moa.streams: Interface representing a data stream of examples.

F

F1 - Class in com.yahoo.labs.samoa.evaluation.measures
F1() - Constructor for class com.yahoo.labs.samoa.evaluation.measures.F1
fadingErrorFactorOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean
FastVector<E> - Class in com.yahoo.labs.samoa.moa.core: Simple extension of ArrayList.
FastVector() - Constructor for class com.yahoo.labs.samoa.moa.core.FastVector
FILE_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
FILE_PREFIX_STRING - Static variable in class com.yahoo.labs.samoa.moa.options.AbstractClassOption: The prefix text to use to indicate file.
FileStream - Class in com.yahoo.labs.samoa.streams: InstanceStream for files (Abstract class: subclass this class for different file formats)
FileStream() - Constructor for class com.yahoo.labs.samoa.streams.FileStream
FileStreamSource - Interface in com.yahoo.labs.samoa.streams.fs: An interface for FileStream's source (Local FS, HDFS,...)
FILESYSTEM_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
FIMTDDNumericAttributeClassLimitObserver - Class in com.yahoo.labs.samoa.moa.classifiers.rules.core.attributeclassobservers
FIMTDDNumericAttributeClassLimitObserver() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.rules.core.attributeclassobservers.FIMTDDNumericAttributeClassLimitObserver
FIMTDDNumericAttributeClassObserver - Class in com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers
FIMTDDNumericAttributeClassObserver() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver
findClassesOfType(String, Class<?>) - Static method in class com.yahoo.labs.samoa.moa.core.AutoClassDiscovery
findClassNames(String) - Static method in class com.yahoo.labs.samoa.moa.core.AutoClassDiscovery
findMaxDelta() - Method in class com.yahoo.labs.samoa.moa.core.GreenwaldKhannaQuantileSummary
firstLeafLevelOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
forName(Class<?>, String, String[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Creates a new instance of an object given it's class name and (optional) arguments to pass to it's setOptions method.
FProbability(double, int, int) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Computes probability of F-ratio.
frequency(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesStatisticsProcessor.Builder
fromBytes(byte[]) - Method in class com.yahoo.labs.samoa.utils.SamzaKryoSerdeFactory.SamzaKryoSerde

G

gamma(double) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Returns the Gamma function of the argument.
GaussianEstimator - Class in com.yahoo.labs.samoa.moa.core: Gaussian incremental estimator that uses incremental method that is more resistant to floating point imprecision.
GaussianEstimator() - Constructor for class com.yahoo.labs.samoa.moa.core.GaussianEstimator
gaussianMeans(Clustering, Clustering) - Static method in class com.yahoo.labs.samoa.moa.clusterers.KMeans
GaussianNumericAttributeClassObserver - Class in com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers: Class for observing the class data distribution for a numeric attribute using gaussian estimators.
GaussianNumericAttributeClassObserver() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GaussianNumericAttributeClassObserver
General - Class in com.yahoo.labs.samoa.evaluation.measures
General() - Constructor for class com.yahoo.labs.samoa.evaluation.measures.General
GeometricMovingAverageDM - Class in com.yahoo.labs.samoa.moa.classifiers.core.driftdetection: Drift detection method based in Geometric Moving Average Test
GeometricMovingAverageDM() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.GeometricMovingAverageDM
get(int) - Method in class com.yahoo.labs.samoa.moa.cluster.Clustering: remove a cluster from the clustering
get(int) - Method in class com.yahoo.labs.samoa.moa.core.AutoExpandVector
getACopy() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleSplitNode
getACopy() - Method in interface com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.ErrorWeightedVote
getACopy() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.InverseErrorWeightedVote
getACopy() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.UniformWeightedVote
getACopy() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection.PageHinkleyFading
getACopy() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection.PageHinkleyTest
getAdmin(String, Config) - Method in class com.yahoo.labs.samoa.topology.impl.SamoaSystemFactory
getAllValues(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
getArrayClass(Class) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns the basic class of an array class (handles multi-dimensional arrays).
getArrayCopy() - Method in class com.yahoo.labs.samoa.core.DoubleVector
getArrayCopy() - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
getArrayDimensions(Class) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns the dimensions of the given array.
getArrayDimensions(Object) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns the dimensions of the given array.
getArrayRef() - Method in class com.yahoo.labs.samoa.core.DoubleVector
getArrayRef() - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
getAttributeNameString(InstancesHeader, int) - Static method in class com.yahoo.labs.samoa.instances.InstancesHeader
getAttributeNameString(int) - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier: Gets the name of an attribute from the header.
getAttributeNameString(int) - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
getAttributeObservers() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
getAttributeValues() - Method in class com.yahoo.labs.samoa.instances.Attribute
getAttributeValues() - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData
getAttsTestDependsOn() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.InstanceConditionalTest: Returns an array with the attributes that the test depends on.
getAttsTestDependsOn() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NominalAttributeBinaryTest
getAttsTestDependsOn() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NominalAttributeMultiwayTest
getAttsTestDependsOn() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NumericAttributeBinaryTest
getAttsTestDependsOn() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate
getBatchSize() - Method in class com.yahoo.labs.samoa.topology.AbstractStream: Get suggested batch size
getBestEvaluatedSplitSuggestion(SplitCriterion, double[], int, boolean) - Method in interface com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.AttributeClassObserver: Gets the best split suggestion given a criterion and a class distribution
getBestEvaluatedSplitSuggestion(SplitCriterion, double[], int, boolean) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver
getBestEvaluatedSplitSuggestion(SplitCriterion, double[], int, boolean) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression
getBestEvaluatedSplitSuggestion(SplitCriterion, double[], int, boolean) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver
getBestEvaluatedSplitSuggestion(SplitCriterion, double[], int, boolean) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GaussianNumericAttributeClassObserver
getBestEvaluatedSplitSuggestion(SplitCriterion, double[], int, boolean) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GreenwaldKhannaNumericAttributeClassObserver
getBestEvaluatedSplitSuggestion(SplitCriterion, double[], int, boolean) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver
getBestEvaluatedSplitSuggestion(SplitCriterion, double[], int, boolean) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NullAttributeClassObserver
getBestEvaluatedSplitSuggestion(SplitCriterion, double[], int, boolean) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver
getBestSplitSuggestions(SplitCriterion) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
getBestSuggestion() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
getBucketsUsed() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
getBuilder() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule
getBytesRead() - Method in class com.yahoo.labs.samoa.moa.core.InputStreamProgressMonitor
getBytesRemaining() - Method in class com.yahoo.labs.samoa.moa.core.InputStreamProgressMonitor
getCenter() - Method in class com.yahoo.labs.samoa.moa.cluster.CFCluster
getCenter() - Method in class com.yahoo.labs.samoa.moa.cluster.Cluster
getCenter() - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster
getCenter() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.ClustreamKernel
getCenterDistance(Instance) - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster
getCenterDistance(SphereCluster) - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster
getCF() - Method in class com.yahoo.labs.samoa.moa.cluster.CFCluster
getCF() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.ClustreamKernel
getChange() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.AbstractChangeDetector: Gets whether there is change detected.
getChange() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
getChange() - Method in interface com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ChangeDetector: Gets whether there is change detected.
getChangeDetector() - Method in interface com.yahoo.labs.samoa.learners.AdaptiveLearner: Gets the change detector item.
getChangeDetector() - Method in class com.yahoo.labs.samoa.learners.classifiers.LocalLearnerProcessor
getChangeDetector() - Method in class com.yahoo.labs.samoa.learners.classifiers.SingleClassifier
getChangeDetector() - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.VerticalHoeffdingTree
getClassDistribution(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MembershipMatrix
getClassDistributionByLabel(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MembershipMatrix
getClassDistsResultingFromBinarySplit(double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GaussianNumericAttributeClassObserver
getClassDistsResultingFromBinarySplit(double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GreenwaldKhannaNumericAttributeClassObserver
getClassDistsResultingFromBinarySplit(int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver
getClassDistsResultingFromMultiwaySplit(int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver
getClassId() - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent: Gets the class id.
getClassId() - Method in class com.yahoo.labs.samoa.learners.ResultContentEvent: Gets the class id.
getClassifierIndex() - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent: Gets the classifier index.
getClassifierIndex() - Method in class com.yahoo.labs.samoa.learners.InstancesContentEvent: Gets the classifier index.
getClassifierIndex() - Method in class com.yahoo.labs.samoa.learners.ResultContentEvent: Gets the classifier index.
getClassLabelString(InstancesHeader, int) - Static method in class com.yahoo.labs.samoa.instances.InstancesHeader
getClassLabelString(int) - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier: Gets the name of a label of the class from the header.
getClassLabelString(int) - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
getClassNameString(InstancesHeader) - Static method in class com.yahoo.labs.samoa.instances.InstancesHeader
getClassNameString() - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier: Gets the name of the attribute of the class from the header.
getClassNameString() - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
getClassSeparability() - Method in class com.yahoo.labs.samoa.evaluation.measures.CMM_GTAnalysis: Calculates how well the original clusters are separable.
getClassSum(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MembershipMatrix
getClassSumByLabel(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MembershipMatrix
getClassVotes() - Method in class com.yahoo.labs.samoa.learners.ResultContentEvent: Gets the class votes.
getCLICreationString(Class<?>) - Method in class com.yahoo.labs.samoa.moa.options.AbstractOptionHandler
getCLICreationString(Class<?>) - Method in interface com.yahoo.labs.samoa.moa.options.OptionHandler: Gets the Command Line Interface text to create the object
getClock() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
getClusterClassWeight(int, int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MembershipMatrix
getClusterClassWeightByLabel(int, int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MembershipMatrix
getClustering() - Method in class com.yahoo.labs.samoa.evaluation.ClusteringResultContentEvent
getClustering() - Method in class com.yahoo.labs.samoa.moa.cluster.Clustering
getClusteringCopy() - Method in class com.yahoo.labs.samoa.moa.cluster.Clustering
getClusteringResult() - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
getClusteringResult() - Method in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
getClusteringResult() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.Clustream
getClusteringResult() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans
getClusteringResult(Clustering) - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans
getClusterSum(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MembershipMatrix
getCollector() - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream
getConsumer(String, Config, MetricsRegistry) - Method in class com.yahoo.labs.samoa.topology.impl.SamoaSystemFactory
getContentEvent() - Method in class com.yahoo.labs.samoa.topology.impl.S4Event: Gets the content event.
getContentEvent() - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsEventRunnable
getCountBelow(double) - Method in class com.yahoo.labs.samoa.moa.core.GreenwaldKhannaQuantileSummary
getCumulativeSum() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection.PageHinkleyTest
getCurrentActivityDescription() - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
getCurrentActivityDescription() - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Gets the description of the current activity.
getCurrentActivityFractionComplete() - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
getCurrentActivityFractionComplete() - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Gets the percentage done of the current activity
getCurrentError() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.LearningRule
getCurrentError() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
getCurrentError() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
getCurrentError() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean
getCurrentInputStream() - Method in interface com.yahoo.labs.samoa.streams.fs.FileStreamSource: Retrieve InputStream for current file.
getCurrentInputStream() - Method in class com.yahoo.labs.samoa.streams.fs.HDFSFileStreamSource
getCurrentInputStream() - Method in class com.yahoo.labs.samoa.streams.fs.LocalFileStreamSource
getData() - Method in interface com.yahoo.labs.samoa.moa.core.Example
getData() - Method in class com.yahoo.labs.samoa.moa.core.InstanceExample
getDataset() - Method in class com.yahoo.labs.samoa.learners.clusterers.ClustreamClustererAdapter
getDataset() - Method in interface com.yahoo.labs.samoa.learners.clusterers.LocalClustererAdapter
getDataset() - Method in class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
getDataset() - Method in class com.yahoo.labs.samoa.streams.PrequentialSourceProcessor
getDataset() - Method in class com.yahoo.labs.samoa.streams.StreamSourceProcessor: Gets the dataset.
getDecayHorizon() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.ClusteringStream
getDecayThreshold() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.ClusteringStream
getDefaultCLIString() - Method in class com.yahoo.labs.samoa.moa.options.AbstractClassOption
getDefaultRuleStream() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor
getDelay() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.AbstractChangeDetector: Gets the length of the delay in the change detected.
getDelay() - Method in interface com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ChangeDetector: Gets the length of the delay in the change detected.
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.evaluation.BasicClassificationPerformanceEvaluator
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.evaluation.BasicRegressionPerformanceEvaluator
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule: MOA GUI output
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.NonLearningRule
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.PassiveRule
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GaussianNumericAttributeClassObserver
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GreenwaldKhannaNumericAttributeClassObserver
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NullAttributeClassObserver
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.AttributeSplitSuggestion
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NominalAttributeBinaryTest
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NominalAttributeMultiwayTest
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NumericAttributeBinaryTest
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.AbstractChangeDetector: Returns a string representation of the model.
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWINChangeDetector
getDescription(StringBuilder, int) - Method in interface com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ChangeDetector: Returns a string representation of the model.
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.CusumDM
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.DDM
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.EDDM
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.EWMAChartDM
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.GeometricMovingAverageDM
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.PageHinkleyDM
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.GiniSplitCriterion
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.InfoGainSplitCriterion
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.VarianceReductionSplitCriterion
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.InverseErrorWeightedVote
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.UniformWeightedVote
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.cluster.Cluster
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.cluster.Clustering
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.core.AutoExpandVector
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.core.GaussianEstimator
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.core.GreenwaldKhannaQuantileSummary
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.core.Measurement
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.evaluation.LearningCurve
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.evaluation.LearningEvaluation
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
getDescription(StringBuilder, int) - Method in interface com.yahoo.labs.samoa.moa.MOAObject: Returns a string representation of this object.
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.streams.ArffFileStream
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents: TOOLS
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.streams.ArffFileStream
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.tasks.ClusteringEvaluation
getDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.tasks.PrequentialEvaluation
getDestinations() - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsStream
getDetect() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
getDistance(DataPoint) - Method in class com.yahoo.labs.samoa.moa.core.DataPoint
getDistanceVector(Instance) - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster
getDistanceVector(SphereCluster) - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster
getEngine() - Static method in class com.yahoo.labs.samoa.topology.impl.SamzaEngine
getEntranceProcessingItems() - Method in class com.yahoo.labs.samoa.topology.AbstractTopology: Gets entrance processing items in the topology
getEstimation() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.AbstractChangeDetector: Gets the prediction of next values.
getEstimation() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
getEstimation() - Method in interface com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ChangeDetector: Gets the prediction of next values.
getEstimatorInfo() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
getEvaluationFrequency() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.ClusteringStream
getEvaluationIndex() - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent: Gets the evaluation index.
getEvaluationIndex() - Method in class com.yahoo.labs.samoa.learners.InstancesContentEvent: Gets the evaluation index.
getEvaluationIndex() - Method in class com.yahoo.labs.samoa.learners.ResultContentEvent: Gets the evaluation index.
getEvaluationStream() - Method in class com.yahoo.labs.samoa.learners.clusterers.simple.ClusteringDistributorProcessor
getEventType(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
getFactory() - Method in class com.yahoo.labs.samoa.topology.impl.S4DoTask: Gets the factory.
getFlag(char, String[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Checks if the given array contains the flag "-Char".
getFlag(String, String[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Checks if the given array contains the flag "-String".
getFractionCorrectlyClassified() - Method in class com.yahoo.labs.samoa.evaluation.BasicClassificationPerformanceEvaluator
getFractionCorrectlyClassified() - Method in class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator
getFractionIncorrectlyClassified() - Method in class com.yahoo.labs.samoa.evaluation.BasicClassificationPerformanceEvaluator
getFractionIncorrectlyClassified() - Method in class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator
getGeneratingClusters() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
getGroundTruth() - Method in class com.yahoo.labs.samoa.moa.cluster.Cluster
getGroundTruthSamplingFrequency() - Method in class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
getHadoopConfigHome() - Static method in class com.yahoo.labs.samoa.utils.SystemsUtils
getHDFSNameNodeUri() - Static method in class com.yahoo.labs.samoa.utils.SystemsUtils
getHeader() - Method in class com.yahoo.labs.samoa.moa.streams.ArffFileStream
getHeader() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
getHeader() - Method in interface com.yahoo.labs.samoa.moa.streams.ExampleStream: Gets the header of this stream.
getHeader() - Method in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
getHeader() - Method in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
getHeader() - Method in class com.yahoo.labs.samoa.streams.FileStream
getHelloWorldData() - Method in class com.yahoo.labs.samoa.examples.HelloWorldContentEvent
getHullDistance(SphereCluster) - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster
getId() - Method in class com.yahoo.labs.samoa.moa.cluster.Cluster
getInclusionProbability(Instance) - Method in class com.yahoo.labs.samoa.moa.cluster.CFCluster
getInclusionProbability(Instance) - Method in class com.yahoo.labs.samoa.moa.cluster.Cluster: Returns the probability of the given point belonging to this cluster.
getInclusionProbability(Instance) - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster
getInclusionProbability(Instance) - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.ClustreamKernel: See interface Cluster
getIndexValues() - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData
getInfo() - Method in class com.yahoo.labs.samoa.moa.cluster.Cluster
getInfo(int, int) - Method in class com.yahoo.labs.samoa.moa.core.DataPoint
getInitalBuildTimestamp() - Method in class com.yahoo.labs.samoa.moa.evaluation.MembershipMatrix
getInputProcessor() - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.AdaptiveBagging
getInputProcessor() - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.Bagging
getInputProcessor() - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.Boosting
getInputProcessor() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
getInputProcessor() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
getInputProcessor() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
getInputProcessor() - Method in class com.yahoo.labs.samoa.learners.classifiers.SingleClassifier
getInputProcessor() - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.VerticalHoeffdingTree
getInputProcessor() - Method in class com.yahoo.labs.samoa.learners.clusterers.simple.DistributedClusterer
getInputProcessor() - Method in class com.yahoo.labs.samoa.learners.clusterers.SingleLearner
getInputProcessor() - Method in interface com.yahoo.labs.samoa.learners.Learner: Gets the input processing item.
getInputStreams() - Method in class com.yahoo.labs.samoa.topology.impl.SamzaProcessingItem
getInstance() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AssignmentContentEvent
getInstance() - Method in class com.yahoo.labs.samoa.learners.clusterers.ClusteringContentEvent
getInstance() - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent: Gets the single instance of InstanceEvent.
getInstance() - Method in class com.yahoo.labs.samoa.learners.ResultContentEvent: Gets the single instance of ResultEvent.
getInstance(String) - Static method in class com.yahoo.labs.samoa.utils.Utils
getInstanceIndex() - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent: Gets the instance index.
getInstanceIndex() - Method in class com.yahoo.labs.samoa.learners.InstancesContentEvent: Gets the instance index.
getInstanceIndex() - Method in class com.yahoo.labs.samoa.learners.ResultContentEvent: Gets the instance index.
getInstances() - Method in class com.yahoo.labs.samoa.learners.InstancesContentEvent: Gets the single instance of InstanceEvent.
getInstancesCount() - Method in class com.yahoo.labs.samoa.learners.classifiers.LocalLearnerProcessor: Gets the instances count.
getInstancesCount() - Method in class com.yahoo.labs.samoa.learners.clusterers.LocalClustererProcessor: Gets the instances count.
getInstancesSeen() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.LearningRule
getInstancesSeen() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
getInstancesSeen() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
getKappaStatistic() - Method in class com.yahoo.labs.samoa.evaluation.BasicClassificationPerformanceEvaluator
getKappaStatistic() - Method in class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator
getKappaTemporalStatistic() - Method in class com.yahoo.labs.samoa.evaluation.BasicClassificationPerformanceEvaluator
getKappaTemporalStatistic() - Method in class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator
getKey() - Method in interface com.yahoo.labs.samoa.core.ContentEvent: Gets the content event key.
getKey() - Method in class com.yahoo.labs.samoa.evaluation.ClusteringEvaluationContentEvent
getKey() - Method in class com.yahoo.labs.samoa.evaluation.ClusteringResultContentEvent
getKey() - Method in class com.yahoo.labs.samoa.examples.HelloWorldContentEvent
getKey() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AssignmentContentEvent
getKey() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.PredicateContentEvent
getKey() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.RuleContentEvent
getKey() - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.AttributeContentEvent
getKey() - Method in class com.yahoo.labs.samoa.learners.clusterers.ClusteringContentEvent
getKey(int) - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent
getKey() - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent
getKey(int) - Method in class com.yahoo.labs.samoa.learners.InstancesContentEvent
getKey() - Method in class com.yahoo.labs.samoa.learners.InstancesContentEvent
getKey(int) - Method in class com.yahoo.labs.samoa.learners.ResultContentEvent
getKey() - Method in class com.yahoo.labs.samoa.learners.ResultContentEvent
getKey() - Method in class com.yahoo.labs.samoa.topology.impl.S4Event
getLastUpdatedRuleSplitNode() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule
getLastValue(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
getLatestResultPreview() - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
getLatestResultPreview() - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Gets the current result to preview
getLearner() - Method in class com.yahoo.labs.samoa.learners.classifiers.LocalLearnerProcessor: Gets the learner.
getLearner() - Method in class com.yahoo.labs.samoa.learners.clusterers.LocalClustererProcessor: Gets the learner.
getLearnerToUse(Instance, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
getLearningNode() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule
getLearningNode() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.LearningRule
getLearningNode() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.PassiveRule
getLearningNode() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.PredicateContentEvent
getLowerQuartile(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
getMapConfigsForTopology(SamzaTopology) - Method in class com.yahoo.labs.samoa.utils.SamzaConfigFactory: Construct a list of MapConfigs for a Topology
getMapForEntrancePI(SamzaEntranceProcessingItem, String, String) - Method in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
getMapsForTopology(SamzaTopology) - Method in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
getMaxAttValsObserved() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver
getMaxInclusionProbability(Instance) - Method in class com.yahoo.labs.samoa.moa.cluster.Clustering
getMaxNodes() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.attributeclassobservers.FIMTDDNumericAttributeClassLimitObserver
getMaxNumInstances() - Method in class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
getMaxNumInstances() - Method in class com.yahoo.labs.samoa.streams.PrequentialSourceProcessor
getMaxValue(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
getMean() - Method in class com.yahoo.labs.samoa.moa.core.GaussianEstimator
getMean(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
getMeanError() - Method in class com.yahoo.labs.samoa.evaluation.BasicRegressionPerformanceEvaluator
getMeanRunningTime() - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
getMeasurement(int, int) - Method in class com.yahoo.labs.samoa.moa.evaluation.LearningCurve
getMeasurementName(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.LearningCurve
getMeasurementNamed(String, Measurement[]) - Static method in class com.yahoo.labs.samoa.moa.core.Measurement
getMeasurements() - Method in class com.yahoo.labs.samoa.moa.evaluation.LearningEvaluation
getMeasurementsDescription(Measurement[], StringBuilder, int) - Static method in class com.yahoo.labs.samoa.moa.core.Measurement
getMeasureValue(String) - Method in class com.yahoo.labs.samoa.moa.cluster.Cluster
getMeasureValue(String) - Method in class com.yahoo.labs.samoa.moa.core.DataPoint
getMedian(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
getMeritOfSplit(double[], double[][]) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.GiniSplitCriterion
getMeritOfSplit(double[], double[][]) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.InfoGainSplitCriterion
getMeritOfSplit(double[], double[][]) - Method in interface com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.SplitCriterion: Computes the merit of splitting for a given ditribution before the split and after it.
getMeritOfSplit(double[], double[][]) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.VarianceReductionSplitCriterion
getMeritOfSplit(double[], double[][]) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.splitcriteria.SDRSplitCriterionAMRules
getMessage() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.ClusterEvent
getMicroClustering() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
getMicroClusteringResult() - Method in class com.yahoo.labs.samoa.learners.clusterers.ClustreamClustererAdapter
getMicroClusteringResult() - Method in interface com.yahoo.labs.samoa.learners.clusterers.LocalClustererAdapter
getMicroClusteringResult() - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
getMicroClusteringResult() - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
getMicroClusteringResult() - Method in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
getMicroClusteringResult() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.Clustream
getMicroClusteringResult() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans
getMinimumValue() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection.PageHinkleyTest
getMinValue(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
getModel() - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
getModel() - Method in interface com.yahoo.labs.samoa.moa.learners.Learner: Gets the model if this learner.
getModelContext() - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
getModelContext() - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
getModelContext() - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
getModelContext() - Method in interface com.yahoo.labs.samoa.moa.learners.Learner: Gets the reference to the header of the data stream.
getModelDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
getModelDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean
getModelDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier: Returns a string representation of the model.
getModelDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.functions.MajorityClass
getModelDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
getModelDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
getModelDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.Clustream
getModelDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans
getModelMeasurements() - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
getModelMeasurements() - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
getModelMeasurements() - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
getModelMeasurements() - Method in interface com.yahoo.labs.samoa.moa.learners.Learner: Gets the current measurements of this learner.
getModelQuality() - Method in class com.yahoo.labs.samoa.evaluation.measures.CMM_GTAnalysis: Calculates the relative number of errors being caused by the underlying cluster model
getN() - Method in class com.yahoo.labs.samoa.moa.cluster.CFCluster
getName() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.Clustream
getName() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans
getName() - Method in class com.yahoo.labs.samoa.moa.core.Measurement
getName(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
getName() - Method in class com.yahoo.labs.samoa.topology.AbstractEntranceProcessingItem: Get the name (or ID) of this EntranceProcessingItem
getName() - Method in class com.yahoo.labs.samoa.topology.AbstractProcessingItem: Get the name (or ID) of this ProcessingItem
getName() - Method in class com.yahoo.labs.samoa.topology.impl.S4ProcessingItem
getName() - Method in interface com.yahoo.labs.samoa.topology.impl.SamzaProcessingNode: Gets the name/id of this processing item
getNames() - Method in class com.yahoo.labs.samoa.evaluation.measures.SilhouetteCoefficient
getNames() - Method in class com.yahoo.labs.samoa.evaluation.measures.SSQ
getNextInputStream() - Method in interface com.yahoo.labs.samoa.streams.fs.FileStreamSource: Retrieve InputStream for next file.
getNextInputStream() - Method in class com.yahoo.labs.samoa.streams.fs.HDFSFileStreamSource
getNextInputStream() - Method in class com.yahoo.labs.samoa.streams.fs.LocalFileStreamSource
getNodeList() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Rule
getNodeStatistics() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
getNoiseLabel() - Method in class com.yahoo.labs.samoa.moa.core.DataPoint
getNoiseSeparability() - Method in class com.yahoo.labs.samoa.evaluation.measures.CMM_GTAnalysis: Calculates how well noise is separable from the given clusters Small values indicate bad separability, values close to 1 indicate good separability
getNominalValueString(InstancesHeader, int, int) - Static method in class com.yahoo.labs.samoa.instances.InstancesHeader
getNominalValueString(int, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier: Gets the name of a value of an attribute from the header.
getNominalValueString(int, int) - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
getNonEntranceProcessingItems() - Method in class com.yahoo.labs.samoa.topology.impl.SamzaTopology
getNormalizedPrediction(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
getNullString() - Method in class com.yahoo.labs.samoa.moa.options.AbstractClassOption: Gets the null string of this option.
getNumberAttributes() - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData
getNumberDetections() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
getNumberOfThreads() - Static method in class com.yahoo.labs.samoa.topology.impl.ThreadsEngine
getNumberOfValues(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
getNumberVotes() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.AbstractErrorWeightedVote
getNumberVotes() - Method in interface com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.ErrorWeightedVote: The number of votes added so far.
getNumBytesWritten() - Method in class com.yahoo.labs.samoa.moa.core.SerializeUtils.ByteCountingOutputStream
getNumClasses() - Method in class com.yahoo.labs.samoa.learners.ResultContentEvent: Gets the num classes.
getNumClasses() - Method in class com.yahoo.labs.samoa.moa.evaluation.MembershipMatrix
getNumericValueString(InstancesHeader, int, double) - Static method in class com.yahoo.labs.samoa.instances.InstancesHeader
getNumMeasures() - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
getObjectNamed(String) - Method in interface com.yahoo.labs.samoa.moa.core.ObjectRepository
getOption(char, String[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Gets an option indicated by a flag "-Char" from the given array of strings.
getOption(String, String[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Gets an option indicated by a flag "-String" from the given array of strings.
getOptionPos(char, String[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Gets the index of an option or flag indicated by a flag "-Char" from the given array of strings.
getOptionPos(String, String[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Gets the index of an option or flag indicated by a flag "-String" from the given array of strings.
getOptions() - Method in class com.yahoo.labs.samoa.moa.options.AbstractOptionHandler
getOptions() - Method in interface com.yahoo.labs.samoa.moa.options.OptionHandler: Gets the options of this object
getOrderingMeasurementName() - Method in class com.yahoo.labs.samoa.moa.evaluation.LearningCurve
getOutput() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.AbstractChangeDetector: Gets the output state of the change detection.
getOutput() - Method in interface com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ChangeDetector: Gets the output state of the change detection.
getOutputStream() - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.PredictionCombinerProcessor: Gets the output stream.
getOutputStream() - Method in class com.yahoo.labs.samoa.learners.classifiers.LocalLearnerProcessor: Gets the output stream.
getOutputStream() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor
getOutputStream() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesStatisticsProcessor
getOutputStream() - Method in class com.yahoo.labs.samoa.learners.clusterers.LocalClustererProcessor: Gets the output stream.
getOutputStream() - Method in class com.yahoo.labs.samoa.learners.clusterers.simple.ClusteringDistributorProcessor
getOutputStream() - Method in class com.yahoo.labs.samoa.topology.AbstractEntranceProcessingItem: Get the output stream of this EntranceProcessingItem.
getOutputStreams() - Method in class com.yahoo.labs.samoa.topology.impl.SamzaProcessingItem
getParalellismLevel() - Method in class com.yahoo.labs.samoa.topology.impl.S4ProcessingItem: Gets processing item paralellism level.
getParallelism() - Method in class com.yahoo.labs.samoa.topology.AbstractProcessingItem: Get the parallelism factor of this ProcessingItem
getParallelism() - Method in class com.yahoo.labs.samoa.topology.impl.S4EntranceProcessingItem
getParallelism() - Method in class com.yahoo.labs.samoa.topology.impl.S4ProcessingItem
getParallelism() - Method in class com.yahoo.labs.samoa.topology.impl.S4Stream
getParallelism() - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream.SamzaSystemStream
getParallelism() - Method in interface com.yahoo.labs.samoa.topology.ProcessingItem: Gets processing item parallelism level.
getParallelism() - Method in class com.yahoo.labs.samoa.utils.StreamDestination
getParameterString() - Method in class com.yahoo.labs.samoa.evaluation.measures.CMM
getParameterString() - Method in class com.yahoo.labs.samoa.evaluation.measures.CMM_GTAnalysis: String with main CMM parameters
getParameterString() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
getPartitioningScheme() - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream.SamzaSystemStream
getPartitioningScheme() - Method in class com.yahoo.labs.samoa.utils.StreamDestination
getPerceptron() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
getPerformanceMeasurements() - Method in class com.yahoo.labs.samoa.evaluation.BasicClassificationPerformanceEvaluator
getPerformanceMeasurements() - Method in class com.yahoo.labs.samoa.evaluation.BasicRegressionPerformanceEvaluator
getPerformanceMeasurements() - Method in interface com.yahoo.labs.samoa.evaluation.PerformanceEvaluator: Gets the current measurements monitored by this evaluator.
getPerformanceMeasurements() - Method in class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator
getPerformanceMeasurements() - Method in interface com.yahoo.labs.samoa.moa.evaluation.LearningPerformanceEvaluator: Gets the current measurements monitored by this evaluator.
getPrediction(Instance, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.LearningRule
getPrediction(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.LearningRule
getPrediction(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
getPrediction(Instance, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
getPredictionStream() - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.BaggingDistributorProcessor: Gets the prediction stream.
getPreMaterializedObject() - Method in class com.yahoo.labs.samoa.moa.options.AbstractClassOption: Returns the current object.
getPreparedClassOption(ClassOption) - Method in class com.yahoo.labs.samoa.moa.options.OptionsHandler: Gets a prepared option of this class.
getProcessingItem(Processor) - Method in class com.yahoo.labs.samoa.topology.TopologyBuilder
getProcessingItem() - Method in class com.yahoo.labs.samoa.utils.StreamDestination
getProcessingItemInstances() - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsProcessingItem
getProcessingItems() - Method in class com.yahoo.labs.samoa.topology.AbstractTopology: Gets processing items in the topology (including entrance processing items)
getProcessor() - Method in class com.yahoo.labs.samoa.topology.AbstractEntranceProcessingItem: Get the EntranceProcessor of this EntranceProcessingItem.
getProcessor() - Method in class com.yahoo.labs.samoa.topology.AbstractProcessingItem: Get the processor of this ProcessingItem
getProcessor() - Method in interface com.yahoo.labs.samoa.topology.EntranceProcessingItem
getProcessor() - Method in class com.yahoo.labs.samoa.topology.impl.S4EntranceProcessingItem
getProcessor() - Method in class com.yahoo.labs.samoa.topology.impl.S4ProcessingItem
getProcessor() - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsProcessingItemInstance
getProcessor() - Method in interface com.yahoo.labs.samoa.topology.IProcessingItem: Gets the processing item processor.
getProducer(String, Config, MetricsRegistry) - Method in class com.yahoo.labs.samoa.topology.impl.SamoaSystemFactory
getProgressFraction() - Method in class com.yahoo.labs.samoa.moa.core.InputStreamProgressMonitor
getPropotionBelow(double) - Method in class com.yahoo.labs.samoa.moa.core.GreenwaldKhannaQuantileSummary
getPurposeString() - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
getPurposeString() - Method in class com.yahoo.labs.samoa.moa.classifiers.functions.MajorityClass
getPurposeString() - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
getPurposeString() - Method in class com.yahoo.labs.samoa.moa.options.AbstractOptionHandler: Dictionary with option texts and objects
getPurposeString() - Method in interface com.yahoo.labs.samoa.moa.options.OptionHandler: Gets the purpose of this object
getPurposeString() - Method in class com.yahoo.labs.samoa.moa.streams.ArffFileStream
getPurposeString() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
getPurposeString() - Method in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
getPurposeString() - Method in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
getQuantile(double) - Method in class com.yahoo.labs.samoa.moa.core.GreenwaldKhannaQuantileSummary
getRadius() - Method in class com.yahoo.labs.samoa.moa.cluster.CFCluster: See interface Cluster
getRadius() - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster
getRadius() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.ClustreamKernel
getRangeOfMerit(double[]) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.GiniSplitCriterion
getRangeOfMerit(double[]) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.InfoGainSplitCriterion
getRangeOfMerit(double[]) - Method in interface com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.SplitCriterion: Computes the range of splitting merit
getRangeOfMerit(double[]) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.VarianceReductionSplitCriterion
getRangeOfMerit(double[]) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.splitcriteria.SDRSplitCriterionAMRules
getRelationName() - Method in class com.yahoo.labs.samoa.instances.InstanceInformation
getRelationName() - Method in class com.yahoo.labs.samoa.instances.Instances
getRelevanceStamp() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.ClustreamKernel
getRequiredType() - Method in class com.yahoo.labs.samoa.moa.options.AbstractClassOption: Gets the class type of this option.
getResultStream() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor
getResultStream() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor
getResultStream() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor
getResultStream() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor
getResultStreams() - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.AdaptiveBagging
getResultStreams() - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.Bagging
getResultStreams() - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.Boosting
getResultStreams() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
getResultStreams() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
getResultStreams() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
getResultStreams() - Method in class com.yahoo.labs.samoa.learners.classifiers.SingleClassifier
getResultStreams() - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.VerticalHoeffdingTree
getResultStreams() - Method in class com.yahoo.labs.samoa.learners.clusterers.simple.DistributedClusterer
getResultStreams() - Method in class com.yahoo.labs.samoa.learners.clusterers.SingleLearner
getResultStreams() - Method in interface com.yahoo.labs.samoa.learners.Learner: Gets the result streams
getRule() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.RuleContentEvent
getRuleNumberID() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Rule
getRuleNumberID() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AssignmentContentEvent
getRuleNumberID() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.PredicateContentEvent
getRuleNumberID() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.RuleContentEvent
getRuleSplitNode() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.PredicateContentEvent
getRuleStream() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor
getSampleFrequency() - Method in class com.yahoo.labs.samoa.learners.clusterers.LocalClustererProcessor
getSamplingThreshold() - Method in class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
getSerde(String, Config) - Method in class com.yahoo.labs.samoa.utils.SamzaKryoSerdeFactory
getSimplePrediction() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
getSingleLineDescription(StringBuilder) - Method in class com.yahoo.labs.samoa.core.DoubleVector
getSingleLineDescription(StringBuilder) - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
getSingleLineDescription(StringBuilder, int) - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
getSizeEnsemble() - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.BaggingDistributorProcessor: Gets the size ensemble.
getSizeEnsemble() - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.PredictionCombinerProcessor: Gets the size ensemble.
getSourceDelay() - Method in class com.yahoo.labs.samoa.streams.PrequentialSourceProcessor
getSourceProcessingItem() - Method in class com.yahoo.labs.samoa.topology.AbstractStream: Get source processing item of this stream
getSplitIndex() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
getSplitPointSuggestions() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GaussianNumericAttributeClassObserver
getSplitTest() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleSplitNode
getSplitValue() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NumericAttributeBinaryTest
getSplitValue() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate
getSquareError() - Method in class com.yahoo.labs.samoa.evaluation.BasicRegressionPerformanceEvaluator
getStackTraceString(Exception) - Static method in class com.yahoo.labs.samoa.moa.core.MiscUtils
getStatisticsBranchSplit() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
getStatisticsNewRuleActiveLearningNode() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
getStatisticsOtherBranchSplit() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
getStatisticsStream() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor
getStatisticsStream() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor
getStdDev() - Method in class com.yahoo.labs.samoa.moa.core.GaussianEstimator
getStormBuilder() - Method in class com.yahoo.labs.samoa.topology.impl.StormTopology
getStream() - Method in class com.yahoo.labs.samoa.streams.StreamSource: Gets the stream.
getStream() - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream.SamzaSystemStream
getStreamId() - Method in class com.yahoo.labs.samoa.topology.AbstractStream: Get name (ID) of this stream
getStreamId() - Method in interface com.yahoo.labs.samoa.topology.Stream: Gets stream id.
getStreams() - Method in class com.yahoo.labs.samoa.topology.AbstractTopology: Gets streams in the topology
getStreamSource() - Method in class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
getStreamSource() - Method in class com.yahoo.labs.samoa.streams.PrequentialSourceProcessor
getStreamSource() - Method in class com.yahoo.labs.samoa.streams.StreamSourceProcessor: Gets the stream source.
getStructure() - Method in class com.yahoo.labs.samoa.instances.ArffLoader
getSubClassifiers() - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
getSubClassifiers() - Method in interface com.yahoo.labs.samoa.moa.classifiers.Classifier: Gets the classifiers of this ensemble.
getSubClusterers() - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
getSubClusterers() - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
getSublearners() - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
getSublearners() - Method in interface com.yahoo.labs.samoa.moa.learners.Learner: Gets the learners of this ensemble.
getSuggestedCutpoints() - Method in class com.yahoo.labs.samoa.moa.core.GreenwaldKhannaQuantileSummary
getSystem() - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream.SamzaSystemStream
getSystemName() - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream
getSystemStreams() - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream
getTargetMean() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
getTargetMeanError() - Method in class com.yahoo.labs.samoa.evaluation.BasicRegressionPerformanceEvaluator
getTargetSquareError() - Method in class com.yahoo.labs.samoa.evaluation.BasicRegressionPerformanceEvaluator
getTask() - Method in class com.yahoo.labs.samoa.topology.impl.S4DoTask: Gets the task.
getTask(String) - Static method in class com.yahoo.labs.samoa.topology.impl.StormSamoaUtils
getTaskResultType() - Method in interface com.yahoo.labs.samoa.moa.tasks.Task: Gets the result type of this task.
getThreadIndex() - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsProcessingItemInstance
getThreadWithIndex(int) - Static method in class com.yahoo.labs.samoa.topology.impl.ThreadsEngine
getTimestamp() - Method in class com.yahoo.labs.samoa.moa.core.DataPoint
getTimestamp() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.ClusterEvent
getTopology() - Method in class com.yahoo.labs.samoa.examples.HelloWorldTask
getTopology() - Method in class com.yahoo.labs.samoa.tasks.ClusteringEvaluation
getTopology() - Method in class com.yahoo.labs.samoa.tasks.PrequentialEvaluation
getTopology() - Method in interface com.yahoo.labs.samoa.tasks.Task: Return the final topology object to be executed in the cluster
getTopologyName() - Method in class com.yahoo.labs.samoa.topology.AbstractTopology: Gets the name of this topology
getTopologyName() - Method in interface com.yahoo.labs.samoa.topology.Topology: Get the topology's name
getTotal() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
getTotalCount() - Method in class com.yahoo.labs.samoa.moa.core.GreenwaldKhannaQuantileSummary
getTotalEntries() - Method in class com.yahoo.labs.samoa.moa.evaluation.MembershipMatrix
getTotalWeightObserved() - Method in class com.yahoo.labs.samoa.evaluation.BasicClassificationPerformanceEvaluator
getTotalWeightObserved() - Method in class com.yahoo.labs.samoa.evaluation.BasicRegressionPerformanceEvaluator
getTotalWeightObserved() - Method in class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator
getTotalWeightObserved() - Method in class com.yahoo.labs.samoa.moa.core.GaussianEstimator
getTrainingStream() - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.BaggingDistributorProcessor: Gets the training stream.
getTrainingStream() - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.BoostingPredictionCombinerProcessor: Gets the training stream.
getType() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.ClusterEvent
getUpperQuartile(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
getValue(int) - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
getValue() - Method in class com.yahoo.labs.samoa.moa.core.Measurement
getValue(int, int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
getValueAsCLIString() - Method in class com.yahoo.labs.samoa.moa.options.AbstractClassOption
getValueAsCLIString() - Method in class com.yahoo.labs.samoa.moa.options.ClassOption
getVariance() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
getVariance() - Method in class com.yahoo.labs.samoa.moa.core.GaussianEstimator
getVotesForInstance(Instance) - Method in interface com.yahoo.labs.samoa.learners.classifiers.LocalLearner: Predicts the class memberships for a given instance.
getVotesForInstance(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.NaiveBayes: Predicts the class memberships for a given instance.
getVotesForInstance(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
getVotesForInstance(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean
getVotesForInstance() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean
getVotesForInstance(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.SimpleClassifierAdapter: Predicts the class memberships for a given instance.
getVotesForInstance(Instance) - Method in class com.yahoo.labs.samoa.learners.clusterers.ClustreamClustererAdapter: Predicts the class memberships for a given instance.
getVotesForInstance(Instance) - Method in interface com.yahoo.labs.samoa.learners.clusterers.LocalClustererAdapter: Predicts the class memberships for a given instance.
getVotesForInstance(Example<Instance>) - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
getVotesForInstance(Instance) - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
getVotesForInstance(Instance) - Method in interface com.yahoo.labs.samoa.moa.classifiers.Classifier: Predicts the class memberships for a given instance.
getVotesForInstance(Instance) - Method in class com.yahoo.labs.samoa.moa.classifiers.functions.MajorityClass
getVotesForInstance(Instance) - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
getVotesForInstance(Instance) - Method in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
getVotesForInstance(Instance) - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.Clustream
getVotesForInstance(Instance) - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans
getVotesForInstance(E) - Method in interface com.yahoo.labs.samoa.moa.learners.Learner: Predicts the class memberships for a given instance.
getWarning() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
getWarningZone() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.AbstractChangeDetector: Gets whether the change detector is in the warning zone, after a warning alert and before a change alert.
getWarningZone() - Method in interface com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ChangeDetector: Gets whether the change detector is in the warning zone, after a warning alert and before a change alert.
getWeight() - Method in class com.yahoo.labs.samoa.moa.cluster.CFCluster: See interface Cluster
getWeight() - Method in class com.yahoo.labs.samoa.moa.cluster.Cluster: Returns the weight of this cluster, not neccessarily normalized.
getWeight() - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster
getWeightedError() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.AbstractErrorWeightedVote
getWeightedError() - Method in interface com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.ErrorWeightedVote: Returns the weighted error.
getWeights() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
getWeights() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.AbstractErrorWeightedVote
getWeights() - Method in interface com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.ErrorWeightedVote: Return the weights error.
getWidth() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
getWidthT() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
getWorkbenchInfoString() - Static method in class com.yahoo.labs.samoa.core.Globals
getWorkerProcessingItem() - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsEventRunnable
getWorstError() - Method in class com.yahoo.labs.samoa.moa.core.GreenwaldKhannaQuantileSummary
GiniSplitCriterion - Class in com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria: Class for computing splitting criteria using Gini with respect to distributions of class values.
GiniSplitCriterion() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.GiniSplitCriterion
Globals - Class in com.yahoo.labs.samoa.core: Class for storing global information about current version of SAMOA.
Globals() - Constructor for class com.yahoo.labs.samoa.core.Globals
gr(double, double) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Tests if a is greater than b.
gracePeriod(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
gracePeriod(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor.Builder
gracePeriod(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor.Builder
gracePeriod(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
gracePeriod(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesStatisticsProcessor.Builder
gracePeriodOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
gracePeriodOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
gracePeriodOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
gracePeriodOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.trees.VerticalHoeffdingTree
greaterThan - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression.Node
GreenwaldKhannaNumericAttributeClassObserver - Class in com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers: Class for observing the class data distribution for a numeric attribute using Greenwald and Khanna methodology.
GreenwaldKhannaNumericAttributeClassObserver() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GreenwaldKhannaNumericAttributeClassObserver
GreenwaldKhannaQuantileSummary - Class in com.yahoo.labs.samoa.moa.core: Class for representing summaries of Greenwald and Khanna quantiles.
GreenwaldKhannaQuantileSummary(int) - Constructor for class com.yahoo.labs.samoa.moa.core.GreenwaldKhannaQuantileSummary
grOrEq(double, double) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Tests if a is greater or equal to b.
GROUP_BY_KEY - Static variable in class com.yahoo.labs.samoa.topology.impl.S4Stream

H

hasEmptyConstructor(Class<?>) - Static method in class com.yahoo.labs.samoa.moa.core.AutoClassDiscovery
hashCode() - Method in class com.yahoo.labs.samoa.core.DoubleVector
hasMoreInstances() - Method in class com.yahoo.labs.samoa.moa.streams.ArffFileStream
hasMoreInstances() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
hasMoreInstances() - Method in interface com.yahoo.labs.samoa.moa.streams.ExampleStream: Gets whether this stream has more instances to output.
hasMoreInstances() - Method in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
hasMoreInstances() - Method in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
hasMoreInstances() - Method in class com.yahoo.labs.samoa.streams.FileStream
hasMoreInstances() - Method in class com.yahoo.labs.samoa.streams.StreamSource: Checks for more instances.
hasNext() - Method in interface com.yahoo.labs.samoa.core.EntranceProcessor: Checks whether a new event is ready to be processed.
hasNext() - Method in class com.yahoo.labs.samoa.examples.HelloWorldSourceProcessor
hasNext() - Method in class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
hasNext() - Method in class com.yahoo.labs.samoa.streams.PrequentialSourceProcessor
hasNoiseClass() - Method in class com.yahoo.labs.samoa.moa.evaluation.MembershipMatrix
HDFS - Static variable in class com.yahoo.labs.samoa.utils.SystemsUtils
HDFSFileStreamSource - Class in com.yahoo.labs.samoa.streams.fs: Source for FileStream for HDFS files
HDFSFileStreamSource() - Constructor for class com.yahoo.labs.samoa.streams.fs.HDFSFileStreamSource
headerToString() - Method in class com.yahoo.labs.samoa.moa.evaluation.LearningCurve
HelloWorldContentEvent - Class in com.yahoo.labs.samoa.examples: Example ContentEvent that contains a single integer.
HelloWorldContentEvent(int, boolean) - Constructor for class com.yahoo.labs.samoa.examples.HelloWorldContentEvent
HelloWorldContentEvent() - Constructor for class com.yahoo.labs.samoa.examples.HelloWorldContentEvent
HelloWorldDestinationProcessor - Class in com.yahoo.labs.samoa.examples: Example Processor that simply prints the received events to standard output.
HelloWorldDestinationProcessor() - Constructor for class com.yahoo.labs.samoa.examples.HelloWorldDestinationProcessor
helloWorldParallelismOption - Variable in class com.yahoo.labs.samoa.examples.HelloWorldTask
HelloWorldSourceProcessor - Class in com.yahoo.labs.samoa.examples: Example EntranceProcessor that generates a stream of random integers.
HelloWorldSourceProcessor(long) - Constructor for class com.yahoo.labs.samoa.examples.HelloWorldSourceProcessor
HelloWorldTask - Class in com.yahoo.labs.samoa.examples: Example Task in SAMOA.
HelloWorldTask() - Constructor for class com.yahoo.labs.samoa.examples.HelloWorldTask
HorizontalAMRulesRegressor - Class in com.yahoo.labs.samoa.learners.classifiers.rules: Horizontal AMRules Regressor is a distributed learner for regression rules learner.
HorizontalAMRulesRegressor() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
HyperplaneGenerator - Class in com.yahoo.labs.samoa.moa.streams.generators: Stream generator for Hyperplane data stream.
HyperplaneGenerator() - Constructor for class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator

I

id - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule.Builder
id(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule.Builder
implementsMicroClusterer() - Method in class com.yahoo.labs.samoa.learners.clusterers.ClustreamClustererAdapter
implementsMicroClusterer() - Method in interface com.yahoo.labs.samoa.learners.clusterers.LocalClustererAdapter
implementsMicroClusterer() - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
implementsMicroClusterer() - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
implementsMicroClusterer() - Method in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
implementsMicroClusterer() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.Clustream
implementsMicroClusterer() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans: Miscellaneous
incompleteBeta(double, double, double) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Returns the Incomplete Beta Function evaluated from zero to xx.
incompleteBetaFraction1(double, double, double) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Continued fraction expansion #1 for incomplete beta integral.
incompleteBetaFraction2(double, double, double) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Continued fraction expansion #2 for incomplete beta integral.
incompleteGamma(double, double) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Returns the Incomplete Gamma function.
incompleteGammaComplement(double, double) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Returns the Complemented Incomplete Gamma function.
index() - Method in class com.yahoo.labs.samoa.instances.Attribute
index(int) - Method in class com.yahoo.labs.samoa.instances.DenseInstanceData
index(int) - Method in interface com.yahoo.labs.samoa.instances.Instance
index(int) - Method in interface com.yahoo.labs.samoa.instances.InstanceData
index(int) - Method in class com.yahoo.labs.samoa.instances.SingleClassInstanceData
index(int) - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
index(int) - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData
indexOfValue(String) - Method in class com.yahoo.labs.samoa.instances.Attribute
info(int[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Computes entropy for an array of integers.
InfoGainSplitCriterion - Class in com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria: Class for computing splitting criteria using information gain with respect to distributions of class values.
InfoGainSplitCriterion() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.InfoGainSplitCriterion
InfoGainSplitCriterionMultilabel - Class in com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria: Class for computing splitting criteria using information gain with respect to distributions of class values for Multilabel data.
InfoGainSplitCriterionMultilabel() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.InfoGainSplitCriterionMultilabel
init() - Method in class com.yahoo.labs.samoa.examples.HelloWorldTask
init(TopologyBuilder, Instances, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.AdaptiveBagging
init(TopologyBuilder, Instances, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.Bagging
init(TopologyBuilder, Instances, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.Boosting
init(TopologyBuilder, Instances, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
init(TopologyBuilder, Instances, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
init(TopologyBuilder, Instances, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
init(TopologyBuilder, Instances, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.SingleClassifier
init(TopologyBuilder, Instances, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.VerticalHoeffdingTree
init(TopologyBuilder, Instances, int) - Method in class com.yahoo.labs.samoa.learners.clusterers.simple.DistributedClusterer
init(TopologyBuilder, Instances, int) - Method in class com.yahoo.labs.samoa.learners.clusterers.SingleLearner
init(TopologyBuilder, Instances, int) - Method in interface com.yahoo.labs.samoa.learners.Learner: Inits the Learner object.
init(String, String) - Method in interface com.yahoo.labs.samoa.streams.fs.FileStreamSource: Init the source with file/directory path and file extension
init(String, String) - Method in class com.yahoo.labs.samoa.streams.fs.HDFSFileStreamSource
init(Configuration, String, String) - Method in class com.yahoo.labs.samoa.streams.fs.HDFSFileStreamSource
init(String, String) - Method in class com.yahoo.labs.samoa.streams.fs.LocalFileStreamSource
init() - Method in class com.yahoo.labs.samoa.tasks.ClusteringEvaluation
init() - Method in class com.yahoo.labs.samoa.tasks.PrequentialEvaluation
init() - Method in interface com.yahoo.labs.samoa.tasks.Task: Initialize this SAMOA task, i.e.
init(String) - Method in class com.yahoo.labs.samoa.topology.impl.S4ComponentFactory: Initialization method.
init(Config, TaskContext) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEntranceProcessingItem
init(Config, TaskContext) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaProcessingItem
initHTTPServer() - Method in class com.yahoo.labs.samoa.topology.impl.S4Submitter
initialize(RuleRegressionNode) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
initSystemStream() - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream.SamzaSystemStream
initTopology(String) - Method in class com.yahoo.labs.samoa.topology.TopologyBuilder: Initiates topology with a specific name.
initTopology(String, int) - Method in class com.yahoo.labs.samoa.topology.TopologyBuilder: Initiates topology with a specific name and a delay between consecutive instances.
injectNextEvent() - Method in class com.yahoo.labs.samoa.topology.impl.S4EntranceProcessingItem
injectNextEvent() - Method in class com.yahoo.labs.samoa.topology.LocalEntranceProcessingItem: If there are available events, first event in the queue will be sent out on the output stream.
INMEM_PREFIX_STRING - Static variable in class com.yahoo.labs.samoa.moa.options.AbstractClassOption: The prefix text to use to indicate inmem.
input(double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.AbstractChangeDetector: Adding a numeric value to the change detector

The output of the change detector is modified after the insertion of a new item inside.
input(double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWINChangeDetector
input(double) - Method in interface com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ChangeDetector: Adding a numeric value to the change detector

The output of the change detector is modified after the insertion of a new item inside.
input(double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.CusumDM
input(double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.DDM
input(double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.EDDM
input(double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.EWMAChartDM
input(double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.GeometricMovingAverageDM
input(double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.PageHinkleyDM
InputStreamProgressMonitor - Class in com.yahoo.labs.samoa.moa.core: Class for monitoring the progress of reading an input stream.
InputStreamProgressMonitor(InputStream) - Constructor for class com.yahoo.labs.samoa.moa.core.InputStreamProgressMonitor
insert(Instance, long) - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.ClustreamKernel
insert(double) - Method in class com.yahoo.labs.samoa.moa.core.GreenwaldKhannaQuantileSummary
insertAttributeAt(int) - Method in interface com.yahoo.labs.samoa.instances.Instance
insertAttributeAt(Attribute, int) - Method in class com.yahoo.labs.samoa.instances.InstanceInformation
insertAttributeAt(Attribute, int) - Method in class com.yahoo.labs.samoa.instances.Instances
insertAttributeAt(int) - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
insertEntry(LearningEvaluation) - Method in class com.yahoo.labs.samoa.moa.evaluation.LearningCurve
insertValue(double, int, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver.Node
insertValue(double, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression.Node
Instance - Interface in com.yahoo.labs.samoa.instances
instance(int) - Method in class com.yahoo.labs.samoa.instances.Instances
instance - Variable in class com.yahoo.labs.samoa.moa.core.InstanceExample
InstanceConditionalBinaryTest - Class in com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests: Abstract binary conditional test for instances to use to split nodes in Hoeffding trees.
InstanceConditionalBinaryTest() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.InstanceConditionalBinaryTest
InstanceConditionalTest - Class in com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests: Abstract conditional test for instances to use to split nodes in Hoeffding trees.
InstanceConditionalTest() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.InstanceConditionalTest
InstanceContentEvent - Class in com.yahoo.labs.samoa.learners: The Class InstanceEvent.
InstanceContentEvent() - Constructor for class com.yahoo.labs.samoa.learners.InstanceContentEvent
InstanceContentEvent(long, Instance, boolean, boolean) - Constructor for class com.yahoo.labs.samoa.learners.InstanceContentEvent: Instantiates a new instance event.
InstanceData - Interface in com.yahoo.labs.samoa.instances
InstanceExample - Class in com.yahoo.labs.samoa.moa.core
InstanceExample(Instance) - Constructor for class com.yahoo.labs.samoa.moa.core.InstanceExample
InstanceInformation - Class in com.yahoo.labs.samoa.instances
InstanceInformation(InstanceInformation) - Constructor for class com.yahoo.labs.samoa.instances.InstanceInformation
InstanceInformation(String, List<Attribute>) - Constructor for class com.yahoo.labs.samoa.instances.InstanceInformation
InstanceInformation() - Constructor for class com.yahoo.labs.samoa.instances.InstanceInformation
instanceLimitOption - Variable in class com.yahoo.labs.samoa.examples.HelloWorldTask
instanceLimitOption - Variable in class com.yahoo.labs.samoa.tasks.ClusteringEvaluation
instanceLimitOption - Variable in class com.yahoo.labs.samoa.tasks.PrequentialEvaluation
instanceRandomSeedOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
instanceRandomSeedOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
instanceRandomSeedOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
Instances - Class in com.yahoo.labs.samoa.instances
Instances(InstancesHeader) - Constructor for class com.yahoo.labs.samoa.instances.Instances
Instances(Instances) - Constructor for class com.yahoo.labs.samoa.instances.Instances
Instances() - Constructor for class com.yahoo.labs.samoa.instances.Instances
Instances(Reader, int, int) - Constructor for class com.yahoo.labs.samoa.instances.Instances
Instances(Instances, int) - Constructor for class com.yahoo.labs.samoa.instances.Instances
Instances(String, List<Attribute>, int) - Constructor for class com.yahoo.labs.samoa.instances.Instances
Instances(Instances, int, int) - Constructor for class com.yahoo.labs.samoa.instances.Instances
Instances(StringReader, int) - Constructor for class com.yahoo.labs.samoa.instances.Instances
InstancesContentEvent - Class in com.yahoo.labs.samoa.learners: The Class InstanceEvent.
InstancesContentEvent() - Constructor for class com.yahoo.labs.samoa.learners.InstancesContentEvent
InstancesContentEvent(long, boolean, boolean) - Constructor for class com.yahoo.labs.samoa.learners.InstancesContentEvent: Instantiates a new instance event.
InstancesContentEvent(InstanceContentEvent) - Constructor for class com.yahoo.labs.samoa.learners.InstancesContentEvent
InstancesHeader - Class in com.yahoo.labs.samoa.instances: Class for storing the header or context of a data stream.
InstancesHeader(Instances) - Constructor for class com.yahoo.labs.samoa.instances.InstancesHeader
InstancesHeader() - Constructor for class com.yahoo.labs.samoa.instances.InstancesHeader
InstanceStream - Interface in com.yahoo.labs.samoa.moa.streams: Interface representing a data stream of instances.
inverseError(double) - Static method in class com.yahoo.labs.samoa.moa.clusterers.clustream.ClustreamKernel: Approximates the inverse error function.
InverseErrorWeightedVote - Class in com.yahoo.labs.samoa.moa.classifiers.rules.core.voting: InverseErrorWeightedVote class for weighted votes based on estimates of errors.
InverseErrorWeightedVote() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.InverseErrorWeightedVote
InverseErrorWeightedVote(AbstractErrorWeightedVote) - Constructor for class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.InverseErrorWeightedVote
IProcessingItem - Interface in com.yahoo.labs.samoa.topology: ProcessingItem interface specific for entrance processing items.
isAnomaly(Instance, double, double, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.LearningRule
isAnomaly(Instance, double, double, int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
isCancelled() - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
isCancelled() - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Gets whether the task monitored is cancelled.
isCovering(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Rule
isEmpty() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.ClustreamKernel: Check if this cluster is empty or not.
isEnabled(int) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
isEqual(NumericAttributeBinaryRulePredicate) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate
isFinished() - Method in interface com.yahoo.labs.samoa.core.EntranceProcessor: Checks whether the source stream is finished/exhausted.
isFinished() - Method in class com.yahoo.labs.samoa.examples.HelloWorldSourceProcessor
isFinished() - Method in class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
isFinished() - Method in class com.yahoo.labs.samoa.streams.PrequentialSourceProcessor
isGroundTruth() - Method in class com.yahoo.labs.samoa.moa.cluster.Cluster
isIncludedInRuleNode(NumericAttributeBinaryRulePredicate) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate
isLastEvent() - Method in interface com.yahoo.labs.samoa.core.ContentEvent
isLastEvent() - Method in class com.yahoo.labs.samoa.evaluation.ClusteringEvaluationContentEvent
isLastEvent() - Method in class com.yahoo.labs.samoa.evaluation.ClusteringResultContentEvent
isLastEvent() - Method in class com.yahoo.labs.samoa.examples.HelloWorldContentEvent
isLastEvent() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AssignmentContentEvent
isLastEvent() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.PredicateContentEvent
isLastEvent() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.RuleContentEvent
isLastEvent() - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.AttributeContentEvent
isLastEvent() - Method in class com.yahoo.labs.samoa.learners.clusterers.ClusteringContentEvent
isLastEvent() - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent
isLastEvent() - Method in class com.yahoo.labs.samoa.learners.InstancesContentEvent
isLastEvent() - Method in class com.yahoo.labs.samoa.learners.ResultContentEvent
isMissing(int) - Method in class com.yahoo.labs.samoa.instances.DenseInstanceData
isMissing(int) - Method in interface com.yahoo.labs.samoa.instances.Instance
isMissing(int) - Method in interface com.yahoo.labs.samoa.instances.InstanceData
isMissing(int) - Method in class com.yahoo.labs.samoa.instances.SingleClassInstanceData
isMissing(int) - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
isMissing(int) - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData
isMissingSparse(int) - Method in class com.yahoo.labs.samoa.instances.DenseInstanceData
isMissingSparse(int) - Method in interface com.yahoo.labs.samoa.instances.Instance
isMissingSparse(int) - Method in interface com.yahoo.labs.samoa.instances.InstanceData
isMissingSparse(int) - Method in class com.yahoo.labs.samoa.instances.SingleClassInstanceData
isMissingSparse(int) - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
isMissingSparse(int) - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData
isMissingValue(double) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Tests if the given value codes "missing".
isNoise() - Method in class com.yahoo.labs.samoa.moa.core.DataPoint
isNominal() - Method in class com.yahoo.labs.samoa.instances.Attribute
isNumeric() - Method in class com.yahoo.labs.samoa.instances.Attribute
isPaused() - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
isPaused() - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Gets whether the task monitored is paused.
isPublicConcreteClassOfType(String, Class<?>) - Static method in class com.yahoo.labs.samoa.moa.core.AutoClassDiscovery
isRandomizable() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor
isRandomizable() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
isRandomizable() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean
isRandomizable() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor
isRandomizable() - Method in class com.yahoo.labs.samoa.moa.classifiers.functions.MajorityClass
isRandomizable() - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
isRandomizable() - Method in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
isRandomizable() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.Clustream
isRandomizable() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans
isRandomizable() - Method in interface com.yahoo.labs.samoa.moa.learners.Learner: Gets whether this learner needs a random seed.
isRemoving() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.RuleContentEvent
isRestartable() - Method in class com.yahoo.labs.samoa.moa.streams.ArffFileStream
isRestartable() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
isRestartable() - Method in interface com.yahoo.labs.samoa.moa.streams.ExampleStream: Gets whether this stream can restart.
isRestartable() - Method in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
isRestartable() - Method in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
isRestartable() - Method in class com.yahoo.labs.samoa.streams.FileStream
isSame(PartitioningScheme, int) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream.SamzaSystemStream
isSample() - Method in class com.yahoo.labs.samoa.learners.clusterers.ClusteringContentEvent
isTesting() - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent: Checks if is testing.
isTesting() - Method in class com.yahoo.labs.samoa.learners.InstancesContentEvent: Checks if is testing.
isTraining() - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent: Checks if is training.
isTraining() - Method in class com.yahoo.labs.samoa.learners.InstancesContentEvent: Checks if is training.
ISubmitter - Interface in com.yahoo.labs.samoa.topology: Submitter interface for programatically deploying platform specific topologies.
isUsingSameAttribute(NumericAttributeBinaryRulePredicate) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate

J

JOB_FACTORY_CLASS_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
JOB_NAME_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
joinClustersOption - Variable in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
joinOptions(String[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Joins all the options in an option array into a single string, as might be used on the command line.

K

KAFKA_BATCHSIZE_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
KAFKA_PRODUCER_TYPE_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
keepClassLabel() - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
keepClassLabel() - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
keepClassLabel() - Method in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
kernelRadiFactorOption - Variable in class com.yahoo.labs.samoa.moa.clusterers.clustream.Clustream
kernelRadiFactorOption - Variable in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans
kernelRadiiOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
kernelRadiiRangeOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
kMeans(int, List<? extends Cluster>) - Static method in class com.yahoo.labs.samoa.moa.clusterers.clustream.Clustream
kMeans(int, Cluster[], List<? extends Cluster>) - Static method in class com.yahoo.labs.samoa.moa.clusterers.clustream.Clustream
KMeans - Class in com.yahoo.labs.samoa.moa.clusterers: A kMeans implementation for microclusterings.
KMeans() - Constructor for class com.yahoo.labs.samoa.moa.clusterers.KMeans
kMeans(Cluster[], List<? extends Cluster>) - Static method in class com.yahoo.labs.samoa.moa.clusterers.KMeans: This kMeans implementation clusters a big number of microclusters into a smaller amount of macro clusters.
kMeans_gta(int, Clustering, Clustering) - Static method in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans: k-means of (micro)clusters, with ground-truth-aided initialization.
kMeans_rand(int, Clustering) - Static method in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans: k-means of (micro)clusters, with randomized initialization.
kOption - Variable in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans
kthSmallestValue(int[], int) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns the kth-smallest value in the array.
kthSmallestValue(double[], int) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns the kth-smallest value in the array

L

lambdaOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.CusumDM
lambdaOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.EWMAChartDM
lambdaOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.GeometricMovingAverageDM
lambdaOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.PageHinkleyDM
latestPreviewChanged() - Method in interface com.yahoo.labs.samoa.moa.tasks.ResultPreviewListener: This method is used to receive a signal from TaskMonitor that the lastest preview has changed.
leafFractionOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
Learner - Interface in com.yahoo.labs.samoa.learners: The Interface Classifier.
Learner<E extends Example> - Interface in com.yahoo.labs.samoa.moa.learners: Learner interface for incremental learning models.
learnerOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.SimpleClassifierAdapter
learnerOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.SingleClassifier
learnerOption - Variable in class com.yahoo.labs.samoa.learners.clusterers.ClustreamClustererAdapter
learnerOption - Variable in class com.yahoo.labs.samoa.learners.clusterers.simple.DistributedClusterer
learnerOption - Variable in class com.yahoo.labs.samoa.learners.clusterers.SingleLearner
learnerOption - Variable in class com.yahoo.labs.samoa.tasks.ClusteringEvaluation
learnerOption - Variable in class com.yahoo.labs.samoa.tasks.PrequentialEvaluation
learnerParallelismOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
LearningCurve - Class in com.yahoo.labs.samoa.moa.evaluation: Class that stores and keeps the history of evaluation measurements.
LearningCurve(String) - Constructor for class com.yahoo.labs.samoa.moa.evaluation.LearningCurve
LearningEvaluation - Class in com.yahoo.labs.samoa.moa.evaluation: Class that stores an array of evaluation measurements.
LearningEvaluation(Measurement[]) - Constructor for class com.yahoo.labs.samoa.moa.evaluation.LearningEvaluation
LearningEvaluation(Measurement[], LearningPerformanceEvaluator, Learner) - Constructor for class com.yahoo.labs.samoa.moa.evaluation.LearningEvaluation
LearningPerformanceEvaluator<E extends Example> - Interface in com.yahoo.labs.samoa.moa.evaluation: Interface implemented by learner evaluators to monitor the results of the learning process.
learningRatio(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
learningRatio(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule.Builder
learningRatio(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor.Builder
learningRatio(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
learningRatioOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
learningRatioOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
learningRatioOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
LearningRule - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common: Rule with LearningNode (statistical data).
LearningRule() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.LearningRule
left - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver.Node
left - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression.Node
length() - Method in class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator.Estimator
lessThan - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression.Node
lnGamma(double) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Returns natural logarithm of gamma function.
LOCAL_FS - Static variable in class com.yahoo.labs.samoa.utils.SystemsUtils
LocalClustererAdapter - Interface in com.yahoo.labs.samoa.learners.clusterers: Learner interface for non-distributed learners.
LocalClustererProcessor - Class in com.yahoo.labs.samoa.learners.clusterers: The Class LearnerProcessor.
LocalClustererProcessor() - Constructor for class com.yahoo.labs.samoa.learners.clusterers.LocalClustererProcessor
LocalDoTask - Class in com.yahoo.labs.samoa: The Class DoTask.
LocalDoTask() - Constructor for class com.yahoo.labs.samoa.LocalDoTask
LocalEntranceProcessingItem - Class in com.yahoo.labs.samoa.topology: Implementation of EntranceProcessingItem for local engines (Simple, Multithreads)
LocalEntranceProcessingItem(EntranceProcessor) - Constructor for class com.yahoo.labs.samoa.topology.LocalEntranceProcessingItem
LocalFileStreamSource - Class in com.yahoo.labs.samoa.streams.fs: Source for FileStream for local files
LocalFileStreamSource() - Constructor for class com.yahoo.labs.samoa.streams.fs.LocalFileStreamSource
LocalLearner - Interface in com.yahoo.labs.samoa.learners.classifiers: Learner interface for non-distributed learners.
LocalLearnerProcessor - Class in com.yahoo.labs.samoa.learners.classifiers: The Class LearnerProcessor.
LocalLearnerProcessor() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.LocalLearnerProcessor
LocalStormDoTask - Class in com.yahoo.labs.samoa: The main class to execute a SAMOA task in LOCAL mode in Storm.
LocalStormDoTask() - Constructor for class com.yahoo.labs.samoa.LocalStormDoTask
LocalThreadsDoTask - Class in com.yahoo.labs.samoa
LocalThreadsDoTask() - Constructor for class com.yahoo.labs.samoa.LocalThreadsDoTask
locateIndex(int) - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData: Locates the greatest index that is not greater than the given index.
log2 - Static variable in class com.yahoo.labs.samoa.moa.core.Utils: The natural logarithm of 2.
log2(double) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns the logarithm of a for base 2.
logger - Static variable in class com.yahoo.labs.samoa.topology.impl.S4ComponentFactory
logger - Static variable in class com.yahoo.labs.samoa.topology.impl.S4ProcessingItem
logs2probs(double[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Converts an array containing the natural logarithms of probabilities stored in a vector back into probabilities.
LS - Variable in class com.yahoo.labs.samoa.moa.cluster.CFCluster: Linear sum of all the points added to the cluster.

M

magChangeOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
main(String[]) - Static method in class com.yahoo.labs.samoa.LocalDoTask: The main method.
main(String[]) - Static method in class com.yahoo.labs.samoa.LocalStormDoTask: The main method.
main(String[]) - Static method in class com.yahoo.labs.samoa.LocalThreadsDoTask: The main method.
main(String[]) - Static method in class com.yahoo.labs.samoa.SamzaDoTask
main(String[]) - Static method in class com.yahoo.labs.samoa.topology.impl.StormDoTask: The main method.
main(String[]) - Static method in class com.yahoo.labs.samoa.topology.impl.StormJarSubmitter
main(String[]) - Static method in class com.yahoo.labs.samoa.topology.impl.StormTopologySubmitter
MajorityClass - Class in com.yahoo.labs.samoa.moa.classifiers.functions: Majority class learner.
MajorityClass() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.functions.MajorityClass
materializeObject(TaskMonitor, ObjectRepository) - Method in class com.yahoo.labs.samoa.moa.options.AbstractClassOption: Gets a materialized object of this option.
maxBranches() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.InstanceConditionalBinaryTest
maxBranches() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.InstanceConditionalTest: Gets the number of maximum branches, -1 if unknown.
maxBranches() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NominalAttributeMultiwayTest
MAXBUCKETS - Static variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
maxIndex(double[]) - Static method in class com.yahoo.labs.samoa.instances.Utils
maxIndex() - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
maxIndex(double[]) - Static method in class com.yahoo.labs.samoa.moa.core.MiscUtils: Returns index of maximum element in a given array of doubles.
maxIndex(double[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns index of maximum element in a given array of doubles.
maxIndex(int[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns index of maximum element in a given array of integers.
maxNumKernelsOption - Variable in class com.yahoo.labs.samoa.moa.clusterers.clustream.Clustream
maxNumKernelsOption - Variable in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans
maxTreeDepthOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
mean(double[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Computes the mean for an array of doubles.
meanOrMode(int) - Method in class com.yahoo.labs.samoa.instances.Instances
measureByteSize() - Method in class com.yahoo.labs.samoa.moa.AbstractMOAObject
measureByteSize(MOAObject) - Static method in class com.yahoo.labs.samoa.moa.AbstractMOAObject: Gets the memory size of an object.
measureByteSize() - Method in class com.yahoo.labs.samoa.moa.core.AutoExpandVector
measureByteSize() - Method in interface com.yahoo.labs.samoa.moa.MOAObject: Gets the memory size of this object.
MeasureCollection - Class in com.yahoo.labs.samoa.moa.evaluation
MeasureCollection() - Constructor for class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
measureCollectionTypeOption - Variable in class com.yahoo.labs.samoa.tasks.ClusteringEvaluation
Measurement - Class in com.yahoo.labs.samoa.moa.core: Class for storing an evaluation measurement.
Measurement(String, double) - Constructor for class com.yahoo.labs.samoa.moa.core.Measurement
measureObjectByteSize(Serializable) - Static method in class com.yahoo.labs.samoa.moa.core.SerializeUtils
MembershipMatrix - Class in com.yahoo.labs.samoa.moa.evaluation
MembershipMatrix(Clustering, ArrayList<DataPoint>) - Constructor for class com.yahoo.labs.samoa.moa.evaluation.MembershipMatrix
merge(SphereCluster) - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster
merit - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.AttributeSplitSuggestion
MIN_VARIANCE - Static variable in class com.yahoo.labs.samoa.moa.clusterers.clustream.ClustreamKernel
minBranchFracOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.InfoGainSplitCriterion
Miniball - Class in com.yahoo.labs.samoa.moa.cluster
Miniball(int) - Constructor for class com.yahoo.labs.samoa.moa.cluster.Miniball
Miniball.PointStorage - Class in com.yahoo.labs.samoa.moa.cluster
Miniball.PointStorage(int) - Constructor for class com.yahoo.labs.samoa.moa.cluster.Miniball.PointStorage
minIndex(int[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns index of minimum element in a given array of integers.
minIndex(double[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns index of minimum element in a given array of doubles.
minNumInstancesOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.CusumDM
minNumInstancesOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.DDM
minNumInstancesOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.EWMAChartDM
minNumInstancesOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.GeometricMovingAverageDM
minNumInstancesOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.PageHinkleyDM
minWeight() - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
MiscUtils - Class in com.yahoo.labs.samoa.moa.core: Class implementing some utility methods.
MiscUtils() - Constructor for class com.yahoo.labs.samoa.moa.core.MiscUtils
missingValue() - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns the value used to code a missing value.
MOAObject - Interface in com.yahoo.labs.samoa.moa: Interface implemented by classes in MOA, so that all are serializable, can produce copies of their objects, and can measure its memory size.
modelRandomSeedOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
multivariateAnomalyProbabilityThreshold(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
multivariateAnomalyProbabilityThreshold(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor.Builder
multivariateAnomalyProbabilityThreshold(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor.Builder
multivariateAnomalyProbabilityThreshold(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
multivariateAnomalyProbabilityThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
multivariateAnomalyProbabilityThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
multivariateAnomalyProbabilityThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor

N

NaiveBayes - Class in com.yahoo.labs.samoa.learners.classifiers: Implementation of a non-distributed Naive Bayes classifier.
NaiveBayes() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.NaiveBayes: Explicit no-arg constructor.
name() - Method in class com.yahoo.labs.samoa.instances.Attribute
newErrorWeightedVote() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor
newErrorWeightedVote() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor
newErrorWeightedVote() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor
newline - Static variable in class com.yahoo.labs.samoa.moa.core.StringUtils
newProcessor(Processor) - Method in interface com.yahoo.labs.samoa.core.Processor: Creates a copy of a processor.
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.evaluation.ClusteringEvaluatorProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.evaluation.EvaluatorProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.examples.HelloWorldDestinationProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.examples.HelloWorldSourceProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.BaggingDistributorProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.PredictionCombinerProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.learners.classifiers.LocalLearnerProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesStatisticsProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.learners.clusterers.LocalClustererProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.learners.clusterers.simple.ClusteringDistributorProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.streams.PrequentialSourceProcessor
newProcessor(Processor) - Method in class com.yahoo.labs.samoa.streams.StreamSourceProcessor
nextEvent() - Method in interface com.yahoo.labs.samoa.core.EntranceProcessor: Provides the next tuple to be processed by the topology.
nextEvent() - Method in class com.yahoo.labs.samoa.examples.HelloWorldSourceProcessor
nextEvent() - Method in class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
nextEvent() - Method in class com.yahoo.labs.samoa.streams.PrequentialSourceProcessor
nextInstance() - Method in class com.yahoo.labs.samoa.moa.streams.ArffFileStream
nextInstance() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
nextInstance() - Method in interface com.yahoo.labs.samoa.moa.streams.ExampleStream: Gets the next example from this stream.
nextInstance() - Method in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
nextInstance() - Method in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
nextInstance() - Method in class com.yahoo.labs.samoa.streams.FileStream
nextInstance() - Method in class com.yahoo.labs.samoa.streams.StreamSource: Next instance.
noAnomalyDetection(boolean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
noAnomalyDetection(boolean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor.Builder
noAnomalyDetection(boolean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor.Builder
noAnomalyDetection(boolean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
noAnomalyDetectionOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
noAnomalyDetectionOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
noAnomalyDetectionOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
nodeListAdd(RuleSplitNode) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Rule
noiseInClusterOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
noiseLevelOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
noisePercentageOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
NominalAttributeBinaryTest - Class in com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests: Nominal binary conditional test for instances to use to split nodes in Hoeffding trees.
NominalAttributeBinaryTest(int, int) - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NominalAttributeBinaryTest
NominalAttributeClassObserver - Class in com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers: Class for observing the class data distribution for a nominal attribute.
NominalAttributeClassObserver() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver
NominalAttributeMultiwayTest - Class in com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests: Nominal multi way conditional test for instances to use to split nodes in Hoeffding trees.
NominalAttributeMultiwayTest(int) - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NominalAttributeMultiwayTest
nominalEstimatorOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.trees.VerticalHoeffdingTree
NonLearningRule - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common: The most basic rule: inherit from Rule the ID and list of features.
NonLearningRule(ActiveRule) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.NonLearningRule
NORMAL_CONSTANT - Static variable in class com.yahoo.labs.samoa.moa.core.GaussianEstimator
normalInverse(double) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Returns the value, x, for which the area under the Normal (Gaussian) probability density function (integrated from minus infinity to x) is equal to the argument y (assumes mean is zero, variance is one).
normalize() - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
normalize(double[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Normalizes the doubles in the array by their sum.
normalize(double[], double) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Normalizes the doubles in the array using the given value.
normalizedInstance(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
normalizedPrediction(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
normalizeWeights() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
normalProbability(double) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Returns the area under the Normal (Gaussian) probability density function, integrated from minus infinity to x (assumes mean is zero, variance is one).
NullAttributeClassObserver - Class in com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers: Class for observing the class data distribution for a null attribute.
NullAttributeClassObserver() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NullAttributeClassObserver
NullMonitor - Class in com.yahoo.labs.samoa.moa.tasks: Class that represents a null monitor.
NullMonitor() - Constructor for class com.yahoo.labs.samoa.moa.tasks.NullMonitor
numAttributes() - Method in class com.yahoo.labs.samoa.instances.DenseInstanceData
numAttributes() - Method in interface com.yahoo.labs.samoa.instances.Instance
numAttributes() - Method in interface com.yahoo.labs.samoa.instances.InstanceData
numAttributes() - Method in class com.yahoo.labs.samoa.instances.InstanceInformation
numAttributes() - Method in class com.yahoo.labs.samoa.instances.Instances
numAttributes() - Method in class com.yahoo.labs.samoa.instances.SingleClassInstanceData
numAttributes() - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
numAttributes() - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData
numAttsOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.ClusteringStream
numAttsOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
numberInstance - Variable in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
numBinsOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GaussianNumericAttributeClassObserver
numBinsOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver
numClasses() - Method in interface com.yahoo.labs.samoa.instances.Instance
numClasses() - Method in class com.yahoo.labs.samoa.instances.InstanceInformation
numClasses() - Method in class com.yahoo.labs.samoa.instances.Instances
numClasses() - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
numClassesOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
numClassesOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
numClusterOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
numClusterRangeOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
numDriftAttsOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
numEntries() - Method in class com.yahoo.labs.samoa.moa.evaluation.LearningCurve
NumericAttributeBinaryRulePredicate - Class in com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests: Numeric binary conditional test for instances to use to split nodes in AMRules.
NumericAttributeBinaryRulePredicate() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate
NumericAttributeBinaryRulePredicate(int, double, int) - Constructor for class com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate
NumericAttributeBinaryRulePredicate(NumericAttributeBinaryRulePredicate) - Constructor for class com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate
NumericAttributeBinaryTest - Class in com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests: Numeric binary conditional test for instances to use to split nodes in Hoeffding trees.
NumericAttributeBinaryTest(int, double, boolean) - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.NumericAttributeBinaryTest
NumericAttributeClassObserver - Interface in com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers: Interface for observing the class data distribution for a numeric attribute.
numericEstimatorOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.trees.VerticalHoeffdingTree
numericObserver(FIMTDDNumericAttributeClassLimitObserver) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
numericObserver(FIMTDDNumericAttributeClassLimitObserver) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule.Builder
numericObserver(FIMTDDNumericAttributeClassLimitObserver) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor.Builder
numericObserver(FIMTDDNumericAttributeClassLimitObserver) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
numericObserverOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
numericObserverOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
numericObserverOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
numInstances() - Method in class com.yahoo.labs.samoa.instances.Instances
numNominalsOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
numNonZeroEntries() - Method in class com.yahoo.labs.samoa.core.DoubleVector
numNonZeroEntries() - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
numNumericsOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
numSplits() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.AttributeSplitSuggestion
numSubsetsGreaterThanFrac(double[][], double) - Static method in class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.InfoGainSplitCriterion
numTuplesOption - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GreenwaldKhannaNumericAttributeClassObserver
numValsPerNominalOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
numValues() - Method in class com.yahoo.labs.samoa.instances.Attribute
numValues() - Method in class com.yahoo.labs.samoa.instances.DenseInstanceData
numValues() - Method in interface com.yahoo.labs.samoa.instances.Instance
numValues() - Method in interface com.yahoo.labs.samoa.instances.InstanceData
numValues() - Method in class com.yahoo.labs.samoa.instances.SingleClassInstanceData
numValues() - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
numValues() - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData
numValues() - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
numWorkers(List<String>) - Static method in class com.yahoo.labs.samoa.topology.impl.StormSamoaUtils

O

ObjectRepository - Interface in com.yahoo.labs.samoa.moa.core: Interface for object repositories.
objectToCLIString(Object, Class<?>) - Static method in class com.yahoo.labs.samoa.moa.options.ClassOption
observeAttributeClass(double, int, double) - Method in interface com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.AttributeClassObserver: Updates statistics of this observer given an attribute value, a class and the weight of the instance observed
observeAttributeClass(double, int, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver
observeAttributeClass(double, int, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression
observeAttributeClass(double, double, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver
observeAttributeClass(double, int, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GaussianNumericAttributeClassObserver
observeAttributeClass(double, int, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GreenwaldKhannaNumericAttributeClassObserver
observeAttributeClass(double, int, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver
observeAttributeClass(double, int, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NullAttributeClassObserver
observeAttributeClass(double, int, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver
observeAttributeClass(double, double, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.attributeclassobservers.FIMTDDNumericAttributeClassLimitObserver
observeAttributeTarget(double, double) - Method in interface com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.AttributeClassObserver
observeAttributeTarget(double, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver
observeAttributeTarget(double, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression
observeAttributeTarget(double, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GaussianNumericAttributeClassObserver
observeAttributeTarget(double, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GreenwaldKhannaNumericAttributeClassObserver
observeAttributeTarget(double, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver
observeAttributeTarget(double, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NullAttributeClassObserver
observeAttributeTarget(double, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver
onCreate(int) - Method in interface com.yahoo.labs.samoa.core.EntranceProcessor: Initializes the Processor.
onCreate(int) - Method in interface com.yahoo.labs.samoa.core.Processor: Initializes the Processor.
onCreate(int) - Method in class com.yahoo.labs.samoa.evaluation.ClusteringEvaluatorProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.evaluation.EvaluatorProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.examples.HelloWorldDestinationProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.examples.HelloWorldSourceProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.BaggingDistributorProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.PredictionCombinerProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.LocalLearnerProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesStatisticsProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.learners.clusterers.LocalClustererProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.learners.clusterers.simple.ClusteringDistributorProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.streams.PrequentialSourceProcessor
onCreate(int) - Method in class com.yahoo.labs.samoa.streams.StreamSourceProcessor
onCreate() - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream
onEvent(S4Event) - Method in class com.yahoo.labs.samoa.topology.impl.S4ProcessingItem: onEvent method.
OptionHandler - Interface in com.yahoo.labs.samoa.moa.options: Interface representing an object that handles options or parameters.
OptionsHandler - Class in com.yahoo.labs.samoa.moa.options
OptionsHandler(Object, String) - Constructor for class com.yahoo.labs.samoa.moa.options.OptionsHandler
overlapRadiusDegree(SphereCluster) - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster: Checks whether two SphereCluster overlap based on radius NOTE: overlapRadiusDegree only calculates the overlap based on the centers and the radi, so not the real overlap TODO: should we do this by MC to get the real overlap???
overlapSave(SphereCluster) - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster: When a clusters looses points the new minimal bounding sphere can be partly outside of the originating cluster.

P

p1evl(double, double[], int) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Evaluates the given polynomial of degree N at x.
padLeft(String, int) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Pads a string to a specified length, inserting spaces on the left as required.
padRight(String, int) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Pads a string to a specified length, inserting spaces on the right as required.
pageHinckleyAlphaOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
pageHinckleyAlphaOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
pageHinckleyAlphaOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
pageHinckleyThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
pageHinckleyThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
pageHinckleyThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
PageHinkleyDM - Class in com.yahoo.labs.samoa.moa.classifiers.core.driftdetection: Drift detection method based in Page Hinkley Test.
PageHinkleyDM() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.PageHinkleyDM
PageHinkleyFading - Class in com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection: Page-Hinkley Test with more weight for recent instances.
PageHinkleyFading() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection.PageHinkleyFading
PageHinkleyFading(double, double) - Constructor for class com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection.PageHinkleyFading
PageHinkleyTest - Class in com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection: Page-Hinkley Test with equal weights for all instances.
PageHinkleyTest() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection.PageHinkleyTest
PageHinkleyTest(double, double) - Constructor for class com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection.PageHinkleyTest
paralellismOption - Variable in class com.yahoo.labs.samoa.learners.clusterers.simple.DistributedClusterer
parallelismHintOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
parallelismHintOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.trees.VerticalHoeffdingTree
PartitioningScheme - Enum in com.yahoo.labs.samoa.utils: Represents the 3 schemes to partition the streams
partitionOptions(String[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns the secondary set of options (if any) contained in the supplied options array.
PassiveRule - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common: PassiveRule is a LearningRule that update its LearningNode with the received new LearningNode.
PassiveRule(ActiveRule) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.PassiveRule
Perceptron - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common: Prediction scheme using Perceptron: Predictions are computed according to a linear function of the attributes.
Perceptron() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
Perceptron(Perceptron) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
Perceptron(Perceptron, boolean) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
Perceptron(Perceptron.PerceptronData) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
Perceptron.PerceptronData - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common
Perceptron.PerceptronData() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron.PerceptronData
Perceptron.PerceptronData(Perceptron) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron.PerceptronData
Perceptron.PerceptronSerializer - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common
Perceptron.PerceptronSerializer() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron.PerceptronSerializer
perceptronattributeStatistics - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
PerformanceEvaluator - Interface in com.yahoo.labs.samoa.evaluation: Interface implemented by learner evaluators to monitor the results of the learning process.
poisson(double, Random) - Static method in class com.yahoo.labs.samoa.moa.core.MiscUtils
polevl(double, double[], int) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Evaluates the given polynomial of degree N at x.
positionOffsetOption - Variable in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
powerSeries(double, double, double) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Power series for incomplete beta integral.
Predicate - Interface in com.yahoo.labs.samoa.moa.classifiers.rules.core: Interface for a predicate (a feature) in rules.
PredicateContentEvent - Class in com.yahoo.labs.samoa.learners.classifiers.rules.distributed: New features (of newly expanded rules) from Learners to Model Aggregators.
PredicateContentEvent() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.PredicateContentEvent
PredicateContentEvent(int, RuleSplitNode, RulePassiveRegressionNode) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.PredicateContentEvent
prediction(double[]) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
PredictionCombinerProcessor - Class in com.yahoo.labs.samoa.learners.classifiers.ensemble: The Class PredictionCombinerProcessor.
PredictionCombinerProcessor() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.ensemble.PredictionCombinerProcessor
predictionFunction(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
predictionFunction(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule.Builder
predictionFunction(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor.Builder
predictionFunction(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
predictionFunctionOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
predictionFunctionOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
predictionFunctionOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
prepareClassOptions(TaskMonitor, ObjectRepository) - Method in class com.yahoo.labs.samoa.moa.options.OptionsHandler: Prepares the options of this class.
prepareForUse() - Method in class com.yahoo.labs.samoa.moa.options.AbstractOptionHandler
prepareForUse(TaskMonitor, ObjectRepository) - Method in class com.yahoo.labs.samoa.moa.options.AbstractOptionHandler
prepareForUse() - Method in interface com.yahoo.labs.samoa.moa.options.OptionHandler: This method prepares this object for use.
prepareForUse(TaskMonitor, ObjectRepository) - Method in interface com.yahoo.labs.samoa.moa.options.OptionHandler: This method prepares this object for use.
prepareForUse() - Method in class com.yahoo.labs.samoa.moa.options.OptionsHandler: Dictionary with option texts and objects
prepareForUse(TaskMonitor, ObjectRepository) - Method in class com.yahoo.labs.samoa.moa.options.OptionsHandler
prepareForUseImpl(TaskMonitor, ObjectRepository) - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
prepareForUseImpl(TaskMonitor, ObjectRepository) - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
prepareForUseImpl(TaskMonitor, ObjectRepository) - Method in class com.yahoo.labs.samoa.moa.streams.ArffFileStream
prepareForUseImpl(TaskMonitor, ObjectRepository) - Method in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
prepareForUseImpl(TaskMonitor, ObjectRepository) - Method in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
prepareForUseImpl(TaskMonitor, ObjectRepository) - Method in class com.yahoo.labs.samoa.streams.ArffFileStream
prepareForUseImpl(TaskMonitor, ObjectRepository) - Method in class com.yahoo.labs.samoa.streams.FileStream
PrequentialEvaluation - Class in com.yahoo.labs.samoa.tasks: Prequential Evaluation task is a scheme in evaluating performance of online classifiers which uses each instance for testing online classifiers model and then it further uses the same instance for training the model(Test-then-train)
PrequentialEvaluation() - Constructor for class com.yahoo.labs.samoa.tasks.PrequentialEvaluation
PrequentialSourceProcessor - Class in com.yahoo.labs.samoa.streams: Prequential Source Processor is the processor for Prequential Evaluation Task.
PrequentialSourceProcessor() - Constructor for class com.yahoo.labs.samoa.streams.PrequentialSourceProcessor
printRule() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.LearningRule
probabilityDensity(double) - Method in class com.yahoo.labs.samoa.moa.core.GaussianEstimator
probabilityOfAttributeValueGivenClass(double, int) - Method in interface com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.AttributeClassObserver: Gets the probability for an attribute value given a class
probabilityOfAttributeValueGivenClass(double, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver
probabilityOfAttributeValueGivenClass(double, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression
probabilityOfAttributeValueGivenClass(double, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver
probabilityOfAttributeValueGivenClass(double, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GaussianNumericAttributeClassObserver
probabilityOfAttributeValueGivenClass(double, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.GreenwaldKhannaNumericAttributeClassObserver
probabilityOfAttributeValueGivenClass(double, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver
probabilityOfAttributeValueGivenClass(double, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NullAttributeClassObserver
probabilityOfAttributeValueGivenClass(double, int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver
probRound(double, Random) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Rounds a double to the next nearest integer value in a probabilistic fashion (e.g.
probToLogOdds(double) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns the log-odds for a given probabilitiy.
process(ContentEvent) - Method in interface com.yahoo.labs.samoa.core.Processor: Entry point for the Processor code.
process(ContentEvent) - Method in class com.yahoo.labs.samoa.evaluation.ClusteringEvaluatorProcessor
process(ContentEvent) - Method in class com.yahoo.labs.samoa.evaluation.EvaluatorProcessor
process(ContentEvent) - Method in class com.yahoo.labs.samoa.examples.HelloWorldDestinationProcessor
process(ContentEvent) - Method in class com.yahoo.labs.samoa.examples.HelloWorldSourceProcessor
process(ContentEvent) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.BaggingDistributorProcessor: On event.
process(ContentEvent) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.BoostingPredictionCombinerProcessor: On event.
process(ContentEvent) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.PredictionCombinerProcessor: On event.
process(ContentEvent) - Method in class com.yahoo.labs.samoa.learners.classifiers.LocalLearnerProcessor: On event.
process(ContentEvent) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor
process(ContentEvent) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor
process(ContentEvent) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor
process(ContentEvent) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor
process(ContentEvent) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor
process(ContentEvent) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesStatisticsProcessor
process(ContentEvent) - Method in class com.yahoo.labs.samoa.learners.clusterers.LocalClustererProcessor: On event.
process(ContentEvent) - Method in class com.yahoo.labs.samoa.learners.clusterers.simple.ClusteringDistributorProcessor: Process event.
process(ContentEvent) - Method in class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
process(ContentEvent) - Method in class com.yahoo.labs.samoa.streams.PrequentialSourceProcessor
process(ContentEvent) - Method in class com.yahoo.labs.samoa.streams.StreamSourceProcessor: On event.
process(IncomingMessageEnvelope, MessageCollector, TaskCoordinator) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEntranceProcessingItem
process(IncomingMessageEnvelope, MessageCollector, TaskCoordinator) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaProcessingItem
processEvent(ContentEvent, int) - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsProcessingItem
processEvent(ContentEvent) - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsProcessingItemInstance
ProcessingItem - Interface in com.yahoo.labs.samoa.topology: Processing item interface.
Processor - Interface in com.yahoo.labs.samoa.core: The Interface Processor.
put(ContentEvent) - Method in class com.yahoo.labs.samoa.topology.AbstractStream
put(ContentEvent) - Method in class com.yahoo.labs.samoa.topology.impl.S4Stream
put(ContentEvent) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream
put(ContentEvent) - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsStream
put(ContentEvent) - Method in interface com.yahoo.labs.samoa.topology.Stream: Puts events into a platform specific data stream.

Q

QUESTION_MARK - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
quote(String) - Static method in class com.yahoo.labs.samoa.instances.Utils
quote(String) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Quotes a string if it contains special characters.

R

radiusDecreaseOption - Variable in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
radiusIncreaseOption - Variable in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
randomize(Random) - Method in class com.yahoo.labs.samoa.instances.Instances
RandomRBFGeneratorEvents - Class in com.yahoo.labs.samoa.moa.streams.clustering
RandomRBFGeneratorEvents() - Constructor for class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
RandomTreeGenerator - Class in com.yahoo.labs.samoa.moa.streams.generators: Stream generator for a stream based on a randomly generated tree..
RandomTreeGenerator() - Constructor for class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
read(Kryo, Input, Class<Perceptron>) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron.PerceptronSerializer
read(Kryo, Input, Class<TargetMean>) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean.TargetMeanSerializer
read(Kryo, Input, Class<AttributeContentEvent>) - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.AttributeContentEvent.AttributeCEFullPrecSerializer
read(Kryo, Input, Class<AttributeContentEvent>) - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.AttributeContentEvent.AttributeCESerializer
read(Kryo, Input, Class<ComputeContentEvent>) - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.ComputeContentEvent.ComputeCEFullPrecSerializer
read(Kryo, Input, Class<ComputeContentEvent>) - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.ComputeContentEvent.ComputeCESerializer
read() - Method in class com.yahoo.labs.samoa.moa.core.InputStreamProgressMonitor
read(byte[]) - Method in class com.yahoo.labs.samoa.moa.core.InputStreamProgressMonitor
read(byte[], int, int) - Method in class com.yahoo.labs.samoa.moa.core.InputStreamProgressMonitor
read(Kryo, Input, Class) - Method in class com.yahoo.labs.samoa.utils.SerializableSerializer
readFromFile(File) - Static method in class com.yahoo.labs.samoa.moa.core.SerializeUtils
readInstance(Reader) - Method in class com.yahoo.labs.samoa.instances.ArffLoader
readInstance(Reader) - Method in class com.yahoo.labs.samoa.instances.Instances
readInstanceDense() - Method in class com.yahoo.labs.samoa.instances.ArffLoader
RegressionLearner - Interface in com.yahoo.labs.samoa.learners
RegressionPerformanceEvaluator - Interface in com.yahoo.labs.samoa.evaluation
Regressor - Interface in com.yahoo.labs.samoa.moa.classifiers: Regressor interface for incremental regression models.
remove(int) - Method in class com.yahoo.labs.samoa.moa.cluster.Clustering: remove a cluster from the clustering
remove(int) - Method in class com.yahoo.labs.samoa.moa.core.AutoExpandVector
remove(Object) - Method in class com.yahoo.labs.samoa.moa.core.AutoExpandVector
removeBadSplits(SplitCriterion, double, double, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver: A method to remove all nodes in the E-BST in which it and all it's children represent 'bad' split points
removeClusterChangeListener(ClusterEventListener) - Method in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents: Remove a listener
removeElementAt(int) - Method in class com.yahoo.labs.samoa.moa.core.FastVector: Deletes an element from this vector.
removeSubstring(String, String) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Removes all occurrences of a string from another string.
replaceSubstring(String, String, String) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Replaces with a new string, all occurrences of a string from another string.
requestCancel() - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
requestCancel() - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Requests the task monitored to cancel.
requestPause() - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
requestPause() - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Requests the task monitored to pause.
requestResultPreview() - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
requestResultPreview(ResultPreviewListener) - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
requestResultPreview() - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Requests to preview the task result.
requestResultPreview(ResultPreviewListener) - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Requests to preview the task result.
requestResume() - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
requestResume() - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Requests the task monitored to resume.
reset() - Method in class com.yahoo.labs.samoa.evaluation.BasicClassificationPerformanceEvaluator
reset(int) - Method in class com.yahoo.labs.samoa.evaluation.BasicClassificationPerformanceEvaluator
reset() - Method in class com.yahoo.labs.samoa.evaluation.BasicRegressionPerformanceEvaluator
reset() - Method in interface com.yahoo.labs.samoa.evaluation.PerformanceEvaluator: Resets this evaluator.
reset() - Method in class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator
reset(int) - Method in class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator
reset() - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.BoostingPredictionCombinerProcessor
reset() - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.PredictionCombinerProcessor
reset() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
reset(double, long) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean
reset() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection.PageHinkleyFading
reset() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection.PageHinkleyTest
reset() - Method in class com.yahoo.labs.samoa.moa.core.InputStreamProgressMonitor
reset() - Method in interface com.yahoo.labs.samoa.moa.evaluation.LearningPerformanceEvaluator: Resets this evaluator.
reset() - Method in interface com.yahoo.labs.samoa.streams.fs.FileStreamSource: Reset the source
reset() - Method in class com.yahoo.labs.samoa.streams.fs.HDFSFileStreamSource
reset() - Method in class com.yahoo.labs.samoa.streams.fs.LocalFileStreamSource
resetChange() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
resetError() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
resetError() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean
resetLearning() - Method in interface com.yahoo.labs.samoa.learners.classifiers.LocalLearner: Resets this classifier.
resetLearning() - Method in class com.yahoo.labs.samoa.learners.classifiers.NaiveBayes: Resets this classifier.
resetLearning() - Method in class com.yahoo.labs.samoa.learners.classifiers.SimpleClassifierAdapter: Resets this classifier.
resetLearning() - Method in class com.yahoo.labs.samoa.learners.clusterers.ClustreamClustererAdapter: Resets this classifier.
resetLearning() - Method in interface com.yahoo.labs.samoa.learners.clusterers.LocalClustererAdapter: Resets this classifier.
resetLearning() - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
resetLearning() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.AbstractChangeDetector: Resets this change detector.
resetLearning() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWINChangeDetector
resetLearning() - Method in interface com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ChangeDetector: Resets this change detector.
resetLearning() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.CusumDM
resetLearning() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.DDM
resetLearning() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.EDDM
resetLearning() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.EWMAChartDM
resetLearning() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.GeometricMovingAverageDM
resetLearning() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.PageHinkleyDM
resetLearning() - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
resetLearning() - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
resetLearning() - Method in interface com.yahoo.labs.samoa.moa.learners.Learner: Resets this learner.
resetLearningImpl() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron: A method to reset the model
resetLearningImpl() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean
resetLearningImpl() - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier: Resets this classifier.
resetLearningImpl() - Method in class com.yahoo.labs.samoa.moa.classifiers.functions.MajorityClass
resetLearningImpl() - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
resetLearningImpl() - Method in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
resetLearningImpl() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.Clustream
resetLearningImpl() - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans
restart() - Method in class com.yahoo.labs.samoa.moa.streams.ArffFileStream
restart() - Method in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
restart() - Method in interface com.yahoo.labs.samoa.moa.streams.ExampleStream: Restarts this stream.
restart() - Method in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
restart() - Method in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
restart() - Method in class com.yahoo.labs.samoa.streams.FileStream
ResultContentEvent - Class in com.yahoo.labs.samoa.learners: The Class ResultEvent.
ResultContentEvent() - Constructor for class com.yahoo.labs.samoa.learners.ResultContentEvent
ResultContentEvent(boolean) - Constructor for class com.yahoo.labs.samoa.learners.ResultContentEvent
ResultContentEvent(long, Instance, int, double[], boolean) - Constructor for class com.yahoo.labs.samoa.learners.ResultContentEvent: Instantiates a new result event.
resultingClassDistributionFromSplit(int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.AttributeSplitSuggestion
resultingClassDistributions - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.AttributeSplitSuggestion
resultKnownForInstance(Instance) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.conditionaltests.InstanceConditionalTest: Gets whether the number of the branch for an instance is known.
ResultPreviewListener - Interface in com.yahoo.labs.samoa.moa.tasks: Interface implemented by classes that preview results on the Graphical User Interface
resultPreviewRequested() - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
resultPreviewRequested() - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Gets whether there is a request for preview the task result.
revertNewLines(String) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Reverts \r and \n in a string into carriage returns and new lines.
right - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver.Node
right - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression.Node
root - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserver
root - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.FIMTDDNumericAttributeClassObserver
root1 - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression
round(double) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Rounds a double to the next nearest integer value.
roundDouble(double, int) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Rounds a double to the given number of decimal places.
Rule - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common: The base class for "rule".
Rule() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.Rule
RuleActiveLearningNode - Interface in com.yahoo.labs.samoa.learners.classifiers.rules.common: Interface for Rule's LearningNode that updates both statistics for expanding rule and computing predictions.
RuleActiveRegressionNode - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common: LearningNode for regression rule that updates both statistics for expanding rule and computing predictions.
RuleActiveRegressionNode() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
RuleActiveRegressionNode(ActiveRule.Builder) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
RuleContentEvent - Class in com.yahoo.labs.samoa.learners.classifiers.rules.distributed: New rule from Model Aggregator/Default Rule Learner to Learners or removed rule from Learner to Model Aggregators.
RuleContentEvent() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.RuleContentEvent
RuleContentEvent(int, ActiveRule, boolean) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.RuleContentEvent
RulePassiveLearningNode - Interface in com.yahoo.labs.samoa.learners.classifiers.rules.common: Interface for Rule's LearningNode that does not update statistics for expanding rule.
RulePassiveRegressionNode - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common: LearningNode for regression rule that does not update statistics for expanding rule.
RulePassiveRegressionNode(double[]) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.RulePassiveRegressionNode
RulePassiveRegressionNode() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.RulePassiveRegressionNode
RulePassiveRegressionNode(RuleRegressionNode) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.RulePassiveRegressionNode
RuleRegressionNode - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common: The base class for LearningNode for regression rule.
RuleRegressionNode(double[]) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
RuleRegressionNode() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
ruleSetParallelismOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
RuleSplitNode - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common: Represent a feature of rules (an element of ruleś nodeList).
RuleSplitNode() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleSplitNode: Create a new RuleSplitNode
RuleSplitNode(InstanceConditionalTest, double[]) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleSplitNode
run() - Method in class com.yahoo.labs.samoa.topology.impl.SimpleTopology
run() - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsEventRunnable
run() - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsTopology

S

S4ComponentFactory - Class in com.yahoo.labs.samoa.topology.impl: S4 Platform Component Factory
S4ComponentFactory() - Constructor for class com.yahoo.labs.samoa.topology.impl.S4ComponentFactory
S4DoTask - Class in com.yahoo.labs.samoa.topology.impl: The Class DoTaskApp.
S4DoTask() - Constructor for class com.yahoo.labs.samoa.topology.impl.S4DoTask
S4EntranceProcessingItem - Class in com.yahoo.labs.samoa.topology.impl
S4EntranceProcessingItem(EntranceProcessor, App) - Constructor for class com.yahoo.labs.samoa.topology.impl.S4EntranceProcessingItem: Constructor of an S4 entrance processing item.
S4Event - Class in com.yahoo.labs.samoa.topology.impl: The Class InstanceEvent.
S4Event() - Constructor for class com.yahoo.labs.samoa.topology.impl.S4Event: Instantiates a new instance event.
S4Event(ContentEvent) - Constructor for class com.yahoo.labs.samoa.topology.impl.S4Event: Instantiates a new instance event.
S4ProcessingItem - Class in com.yahoo.labs.samoa.topology.impl: S4 Platform platform specific processing item, inherits from S4 ProcessinElemnt.
S4ProcessingItem(App) - Constructor for class com.yahoo.labs.samoa.topology.impl.S4ProcessingItem: Constructor of S4 ProcessingItem.
S4Stream - Class in com.yahoo.labs.samoa.topology.impl: S4 Platform specific stream.
S4Stream(S4DoTask) - Constructor for class com.yahoo.labs.samoa.topology.impl.S4Stream
S4Stream(S4DoTask, S4ProcessingItem) - Constructor for class com.yahoo.labs.samoa.topology.impl.S4Stream
S4Submitter - Class in com.yahoo.labs.samoa.topology.impl
S4Submitter() - Constructor for class com.yahoo.labs.samoa.topology.impl.S4Submitter
S4Submitter.S4Config - Class in com.yahoo.labs.samoa.topology.impl
S4Submitter.S4Config() - Constructor for class com.yahoo.labs.samoa.topology.impl.S4Submitter.S4Config
S4Topology - Class in com.yahoo.labs.samoa.topology.impl
SamoaSerializer - Class in com.yahoo.labs.samoa.topology.impl
SamoaSerializer(ClassLoader) - Constructor for class com.yahoo.labs.samoa.topology.impl.SamoaSerializer
SamoaSerializerModule - Class in com.yahoo.labs.samoa.topology.impl
SamoaSerializerModule() - Constructor for class com.yahoo.labs.samoa.topology.impl.SamoaSerializerModule
SamoaSystemFactory - Class in com.yahoo.labs.samoa.topology.impl: Implementation of Samza's SystemFactory Samza will use this factory to get our custom consumer which gets the events from SAMOA EntranceProcessor and feed them to EntranceProcessingItem task
SamoaSystemFactory() - Constructor for class com.yahoo.labs.samoa.topology.impl.SamoaSystemFactory
sample(Random) - Method in class com.yahoo.labs.samoa.moa.cluster.Cluster: Samples this cluster by returning a point from inside it.
sample(Random) - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster: Samples this cluster by returning a point from inside it.
sampleFrequencyOption - Variable in class com.yahoo.labs.samoa.tasks.ClusteringEvaluation
sampleFrequencyOption - Variable in class com.yahoo.labs.samoa.tasks.PrequentialEvaluation
samplingFrequency(int) - Method in class com.yahoo.labs.samoa.evaluation.ClusteringEvaluatorProcessor.Builder
samplingFrequency(int) - Method in class com.yahoo.labs.samoa.evaluation.EvaluatorProcessor.Builder
samplingThresholdOption - Variable in class com.yahoo.labs.samoa.tasks.ClusteringEvaluation
SamzaComponentFactory - Class in com.yahoo.labs.samoa.topology.impl: Implementation of SAMOA ComponentFactory for Samza
SamzaComponentFactory() - Constructor for class com.yahoo.labs.samoa.topology.impl.SamzaComponentFactory
SamzaConfigFactory - Class in com.yahoo.labs.samoa.utils: Generate Configs that will be used to submit Samza jobs from the input topology (one config per PI/EntrancePI in the topology)
SamzaConfigFactory() - Constructor for class com.yahoo.labs.samoa.utils.SamzaConfigFactory
SamzaDoTask - Class in com.yahoo.labs.samoa: Main class to run the task on Samza
SamzaDoTask() - Constructor for class com.yahoo.labs.samoa.SamzaDoTask
SamzaEngine - Class in com.yahoo.labs.samoa.topology.impl: This class will submit a list of Samza jobs with the Configs generated from the input topology
SamzaEngine() - Constructor for class com.yahoo.labs.samoa.topology.impl.SamzaEngine
SamzaEntranceProcessingItem - Class in com.yahoo.labs.samoa.topology.impl: EntranceProcessingItem for Samza which is also a Samza task (StreamTask & InitableTask)
SamzaEntranceProcessingItem(EntranceProcessor) - Constructor for class com.yahoo.labs.samoa.topology.impl.SamzaEntranceProcessingItem
SamzaEntranceProcessingItem() - Constructor for class com.yahoo.labs.samoa.topology.impl.SamzaEntranceProcessingItem
SamzaEntranceProcessingItem.SamoaSystemConsumer - Class in com.yahoo.labs.samoa.topology.impl
SamzaEntranceProcessingItem.SamoaSystemConsumer(String, Config) - Constructor for class com.yahoo.labs.samoa.topology.impl.SamzaEntranceProcessingItem.SamoaSystemConsumer
SamzaKryoSerdeFactory<T> - Class in com.yahoo.labs.samoa.utils: Implementation of Samza's SerdeFactory that uses Kryo to serialize/deserialize objects
SamzaKryoSerdeFactory() - Constructor for class com.yahoo.labs.samoa.utils.SamzaKryoSerdeFactory
SamzaKryoSerdeFactory.SamzaKryoSerde<V> - Class in com.yahoo.labs.samoa.utils
SamzaKryoSerdeFactory.SamzaKryoSerde(String) - Constructor for class com.yahoo.labs.samoa.utils.SamzaKryoSerdeFactory.SamzaKryoSerde
SamzaProcessingItem - Class in com.yahoo.labs.samoa.topology.impl: ProcessingItem for Samza which is also a Samza task (StreamTask and InitableTask)
SamzaProcessingItem() - Constructor for class com.yahoo.labs.samoa.topology.impl.SamzaProcessingItem
SamzaProcessingItem(Processor, int) - Constructor for class com.yahoo.labs.samoa.topology.impl.SamzaProcessingItem
SamzaProcessingNode - Interface in com.yahoo.labs.samoa.topology.impl: Common interface of SamzaEntranceProcessingItem and SamzaProcessingItem
SamzaStream - Class in com.yahoo.labs.samoa.topology.impl: Stream for SAMOA on Samza
SamzaStream(IProcessingItem) - Constructor for class com.yahoo.labs.samoa.topology.impl.SamzaStream
SamzaStream.SamzaSystemStream - Class in com.yahoo.labs.samoa.topology.impl: SamzaSystemStream wrap around a Samza's SystemStream It contains the info to create a Samza stream during the constructing process of the topology and will create the actual Samza stream when the topology is submitted (invoking initSystemStream())
SamzaStream.SamzaSystemStream(String, String, PartitioningScheme, int) - Constructor for class com.yahoo.labs.samoa.topology.impl.SamzaStream.SamzaSystemStream
SamzaStream.SamzaSystemStream(String, String, PartitioningScheme) - Constructor for class com.yahoo.labs.samoa.topology.impl.SamzaStream.SamzaSystemStream
SamzaTopology - Class in com.yahoo.labs.samoa.topology.impl: Topology for Samza
SamzaTopology(String) - Constructor for class com.yahoo.labs.samoa.topology.impl.SamzaTopology
scaleValues(double) - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
SDRSplitCriterion - Class in com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria
SDRSplitCriterion() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.SDRSplitCriterion
SDRSplitCriterionAMRules - Class in com.yahoo.labs.samoa.moa.classifiers.rules.core.splitcriteria
SDRSplitCriterionAMRules() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.rules.core.splitcriteria.SDRSplitCriterionAMRules
secondsToDHMSString(double) - Static method in class com.yahoo.labs.samoa.moa.core.StringUtils
send(MessageCollector, ContentEvent) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream.SamzaSystemStream
sendEndEvaluationInstance(Stream) - Method in class com.yahoo.labs.samoa.streams.StreamSourceProcessor: Send end evaluation instance.
sendInstances(Stream, int, boolean, boolean, int) - Method in class com.yahoo.labs.samoa.streams.StreamSourceProcessor: Send instances.
Separation - Class in com.yahoo.labs.samoa.evaluation.measures
Separation() - Constructor for class com.yahoo.labs.samoa.evaluation.measures.Separation
SERDE_REGISTRATION_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
SerializableInstance - Class in com.yahoo.labs.samoa.core: The Class SerializableInstance.
SerializableInstance() - Constructor for class com.yahoo.labs.samoa.core.SerializableInstance: Instantiates a new serializable instance.
SerializableInstance(int) - Constructor for class com.yahoo.labs.samoa.core.SerializableInstance: Instantiates a new serializable instance.
SerializableInstance(Instance) - Constructor for class com.yahoo.labs.samoa.core.SerializableInstance: Instantiates a new serializable instance.
SerializableSerializer - Class in com.yahoo.labs.samoa.utils: Serialize and deserialize objects with Java serialization
SerializableSerializer() - Constructor for class com.yahoo.labs.samoa.utils.SerializableSerializer
serialize(Object) - Method in class com.yahoo.labs.samoa.topology.impl.SamoaSerializer
serializeObjectToHDFS(Object, String) - Static method in class com.yahoo.labs.samoa.utils.SystemsUtils
serializeObjectToLocalFileSystem(Object, String) - Static method in class com.yahoo.labs.samoa.utils.SystemsUtils
SerializeUtils - Class in com.yahoo.labs.samoa.moa.core: Class implementing some serialize utility methods.
SerializeUtils() - Constructor for class com.yahoo.labs.samoa.moa.core.SerializeUtils
SerializeUtils.ByteCountingOutputStream - Class in com.yahoo.labs.samoa.moa.core
SerializeUtils.ByteCountingOutputStream() - Constructor for class com.yahoo.labs.samoa.moa.core.SerializeUtils.ByteCountingOutputStream
serialVersionUID - Static variable in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.BinaryTreeNumericAttributeClassObserverRegression
set(int, T) - Method in class com.yahoo.labs.samoa.moa.core.AutoExpandVector
setAMMemory(int) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEngine
setAMMemory(int) - Method in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
setApp(S4DoTask) - Method in class com.yahoo.labs.samoa.topology.impl.S4ComponentFactory: Sets S4 application.
setAttributes(List<Attribute>) - Method in class com.yahoo.labs.samoa.instances.InstanceInformation
setAttributeValue(NumericAttributeBinaryRulePredicate) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate
setAttributeValues(double[]) - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData
setBatchSize(int) - Method in class com.yahoo.labs.samoa.topology.AbstractStream: Set suggested batch size
setBatchSize(int) - Method in interface com.yahoo.labs.samoa.topology.Stream: Set batch size
setBestSuggestion(AttributeSplitSuggestion) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
setBuilder(ActiveRule.Builder) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule
setCenter(double[]) - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster
setChangeDetector(ChangeDetector) - Method in interface com.yahoo.labs.samoa.learners.AdaptiveLearner: Sets the change detector item.
setChangeDetector(ChangeDetector) - Method in class com.yahoo.labs.samoa.learners.classifiers.LocalLearnerProcessor
setChangeDetector(ChangeDetector) - Method in class com.yahoo.labs.samoa.learners.classifiers.SingleClassifier
setChangeDetector(ChangeDetector) - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.VerticalHoeffdingTree
setCheckpointFrequency(int) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEngine
setCheckpointFrequency(int) - Method in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
setClassifierIndex(int) - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent: Sets the classifier index.
setClassifierIndex(int) - Method in class com.yahoo.labs.samoa.learners.InstancesContentEvent: Sets the classifier index.
setClassifierIndex(int) - Method in class com.yahoo.labs.samoa.learners.ResultContentEvent: Sets the classifier index.
setClassIndex(int) - Method in class com.yahoo.labs.samoa.instances.InstanceInformation
setClassIndex(int) - Method in class com.yahoo.labs.samoa.instances.Instances
setClassValue(double) - Method in interface com.yahoo.labs.samoa.instances.Instance
setClassValue(double) - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
setClassVotes(double[]) - Method in class com.yahoo.labs.samoa.learners.ResultContentEvent: Sets the class votes.
setClock(int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
setCollector(MessageCollector) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream
setConfigHome(String) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEngine
setContainerMemory(int) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEngine
setContainerMemory(int) - Method in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
setContentEvent(ContentEvent) - Method in class com.yahoo.labs.samoa.topology.impl.S4Event: Sets the content event.
setCurrentActivity(String, double) - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
setCurrentActivity(String, double) - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Sets the description and the percentage done of the current activity.
setCurrentActivityDescription(String) - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
setCurrentActivityDescription(String) - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Sets the description of the current activity.
setCurrentActivityFractionComplete(double) - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
setCurrentActivityFractionComplete(double) - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Sets the percentage done of the current activity
setCurrentObject(Object) - Method in class com.yahoo.labs.samoa.moa.options.AbstractClassOption: Sets current object.
setDataset(Instances) - Method in interface com.yahoo.labs.samoa.instances.Instance
setDataset(Instances) - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
setDataset(Instances) - Method in interface com.yahoo.labs.samoa.learners.classifiers.LocalLearner: Deprecated.
setDataset(Instances) - Method in class com.yahoo.labs.samoa.learners.classifiers.NaiveBayes
setDataset(Instances) - Method in class com.yahoo.labs.samoa.learners.classifiers.SimpleClassifierAdapter
setDataset(Instances) - Method in class com.yahoo.labs.samoa.learners.clusterers.ClustreamClustererAdapter
setDataset(Instances) - Method in interface com.yahoo.labs.samoa.learners.clusterers.LocalClustererAdapter: Sets where to obtain the information of attributes of Instances
setDefaultRuleStream(Stream) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor
setDelayBatchSize(int) - Method in class com.yahoo.labs.samoa.streams.PrequentialSourceProcessor
setEnabled(int, boolean) - Method in class com.yahoo.labs.samoa.moa.evaluation.MeasureCollection
setEvaluationIndex(int) - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent: Sets the evaluation index.
setEvaluationIndex(int) - Method in class com.yahoo.labs.samoa.learners.InstancesContentEvent: Sets the evaluation index.
setEvaluationIndex(int) - Method in class com.yahoo.labs.samoa.learners.ResultContentEvent: Sets the evaluation index.
setEvaluationStream(Stream) - Method in class com.yahoo.labs.samoa.learners.clusterers.simple.ClusteringDistributorProcessor
setFactory(ComponentFactory) - Method in class com.yahoo.labs.samoa.examples.HelloWorldTask
setFactory(ComponentFactory) - Method in class com.yahoo.labs.samoa.tasks.ClusteringEvaluation
setFactory(ComponentFactory) - Method in class com.yahoo.labs.samoa.tasks.PrequentialEvaluation
setFactory(ComponentFactory) - Method in interface com.yahoo.labs.samoa.tasks.Task: Sets the factory.
setFactory(ComponentFactory) - Method in class com.yahoo.labs.samoa.topology.impl.S4DoTask: Sets the factory.
setGroundTruth(double) - Method in class com.yahoo.labs.samoa.moa.cluster.Cluster
setGroundTruthSamplingFrequency(int) - Method in class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
setHadoopConfigHome(String) - Static method in class com.yahoo.labs.samoa.utils.SystemsUtils
setId(double) - Method in class com.yahoo.labs.samoa.moa.cluster.Cluster
setIndexValues(int[]) - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData
setInput(double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
setInput(double, double) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
setInstance(SerializableInstance) - Method in class com.yahoo.labs.samoa.learners.ResultContentEvent: Sets the instance.
setInstancesSeen(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
setKafka(String) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEngine
setKafka(String) - Method in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
setKafkaReplicationFactor(int) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEngine
setKey(String) - Method in interface com.yahoo.labs.samoa.core.ContentEvent: Sets the content event key.
setKey(String) - Method in class com.yahoo.labs.samoa.evaluation.ClusteringEvaluationContentEvent
setKey(String) - Method in class com.yahoo.labs.samoa.evaluation.ClusteringResultContentEvent
setKey(String) - Method in class com.yahoo.labs.samoa.examples.HelloWorldContentEvent
setKey(String) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AssignmentContentEvent
setKey(String) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.PredicateContentEvent
setKey(String) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.RuleContentEvent
setKey(String) - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.AttributeContentEvent
setKey(String) - Method in class com.yahoo.labs.samoa.learners.clusterers.ClusteringContentEvent
setKey(String) - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent
setKey(String) - Method in class com.yahoo.labs.samoa.learners.InstancesContentEvent
setKey(String) - Method in class com.yahoo.labs.samoa.learners.ResultContentEvent
setKey(String) - Method in class com.yahoo.labs.samoa.topology.impl.S4Event
setKryoRegisterFile(String) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEngine
setKryoRegisterFile(String) - Method in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
setLast(boolean) - Method in class com.yahoo.labs.samoa.learners.clusterers.ClusteringContentEvent
setLast(boolean) - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent
setLast(boolean) - Method in class com.yahoo.labs.samoa.learners.InstancesContentEvent
setLatestResultPreview(Object) - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
setLatestResultPreview(Object) - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Sets the current result to preview
setLearner(LocalLearner) - Method in class com.yahoo.labs.samoa.learners.classifiers.LocalLearnerProcessor: Sets the learner.
setLearner(LocalClustererAdapter) - Method in class com.yahoo.labs.samoa.learners.clusterers.LocalClustererProcessor: Sets the learner.
setLearningNode(RuleRegressionNode) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule
setLearningNode(RuleRegressionNode) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.LearningRule
setLearningNode(RuleRegressionNode) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.PassiveRule
setLearningRatio(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
setLocal(boolean) - Method in class com.yahoo.labs.samoa.topology.impl.S4Submitter
setLocal(boolean) - Method in interface com.yahoo.labs.samoa.topology.ISubmitter: Sets if the task should run locally or distributed.
setLocalMode(boolean) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEngine
setLocalMode(boolean) - Method in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
setMaxBufferSize(int) - Method in class com.yahoo.labs.samoa.topology.impl.SamoaSerializer
setMaxNodes(int) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.attributeclassobservers.FIMTDDNumericAttributeClassLimitObserver
setMaxNumInstances(int) - Method in class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
setMaxNumInstances(int) - Method in class com.yahoo.labs.samoa.streams.PrequentialSourceProcessor
setMeasureValue(String, String) - Method in class com.yahoo.labs.samoa.moa.cluster.Cluster
setMeasureValue(String, double) - Method in class com.yahoo.labs.samoa.moa.cluster.Cluster
setMeasureValue(String, double) - Method in class com.yahoo.labs.samoa.moa.core.DataPoint
setMeasureValue(String, String) - Method in class com.yahoo.labs.samoa.moa.core.DataPoint
setModelContext(InstancesHeader) - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
setModelContext(InstancesHeader) - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
setModelContext(InstancesHeader) - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
setModelContext(InstancesHeader) - Method in interface com.yahoo.labs.samoa.moa.learners.Learner: Sets the reference to the header of the data stream.
setN(double) - Method in class com.yahoo.labs.samoa.moa.cluster.CFCluster
setName(String) - Method in class com.yahoo.labs.samoa.topology.AbstractEntranceProcessingItem: Set the name (or ID) of this EntranceProcessingItem
setName(String) - Method in class com.yahoo.labs.samoa.topology.AbstractProcessingItem: Set the name (or ID) of this ProcessingItem
setName(String) - Method in class com.yahoo.labs.samoa.topology.impl.S4EntranceProcessingItem
setName(String) - Method in interface com.yahoo.labs.samoa.topology.impl.SamzaProcessingNode: Sets the name/id for this processing item
setNodeList(List<RuleSplitNode>) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Rule
setNumberAttributes(int) - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData
setNumberOfThreads(int) - Static method in class com.yahoo.labs.samoa.topology.impl.ThreadsEngine
setOutputStream(Stream) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.BaggingDistributorProcessor: Sets the training stream.
setOutputStream(Stream) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.PredictionCombinerProcessor: Sets the output stream.
setOutputStream(Stream) - Method in class com.yahoo.labs.samoa.learners.classifiers.LocalLearnerProcessor: Set the output streams.
setOutputStream(Stream) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor
setOutputStream(Stream) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesStatisticsProcessor
setOutputStream(Stream) - Method in class com.yahoo.labs.samoa.learners.clusterers.LocalClustererProcessor: Set the output streams.
setOutputStream(Stream) - Method in class com.yahoo.labs.samoa.learners.clusterers.simple.ClusteringDistributorProcessor
setOutputStream(Stream) - Method in class com.yahoo.labs.samoa.topology.AbstractEntranceProcessingItem: Set the output stream of this EntranceProcessingItem.
setOutputStream(Stream) - Method in interface com.yahoo.labs.samoa.topology.EntranceProcessingItem: Set the single output stream for this EntranceProcessingItem.
setOutputStream(Stream) - Method in class com.yahoo.labs.samoa.topology.impl.S4EntranceProcessingItem
setParalellismLevel(int) - Method in class com.yahoo.labs.samoa.topology.impl.S4ProcessingItem: Sets processing item paralellism level.
setParallelism(int) - Method in class com.yahoo.labs.samoa.topology.impl.S4EntranceProcessingItem
setParallelism(int) - Method in class com.yahoo.labs.samoa.topology.impl.S4Stream
setPerceptron(Perceptron) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
setPiPerContainerRatio(int) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEngine
setPiPerContainerRatio(int) - Method in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
setPredictionStream(Stream) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.BaggingDistributorProcessor: Sets the prediction stream.
setProcessor(Processor) - Method in class com.yahoo.labs.samoa.topology.impl.S4ProcessingItem: Sets S4 processing item processor.
setRadius(double) - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster
setRandomSeed(int) - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
setRandomSeed(int) - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
setRandomSeed(int) - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
setRandomSeed(int) - Method in interface com.yahoo.labs.samoa.moa.learners.Learner: Sets the seed for random number generation.
setRelationName(String) - Method in class com.yahoo.labs.samoa.instances.InstanceInformation
setRelationName(String) - Method in class com.yahoo.labs.samoa.instances.Instances
setReplicationFactor(int) - Method in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
setResultStream(Stream) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor
setResultStream(Stream) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor
setResultStream(Stream) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor
setResultStream(Stream) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor
setRuleNumberID(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Rule
setRuleStream(Stream) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor
setSAMOADir(String) - Static method in class com.yahoo.labs.samoa.utils.SystemsUtils
setSample(boolean) - Method in class com.yahoo.labs.samoa.learners.clusterers.ClusteringContentEvent
setSampleFrequency(long) - Method in class com.yahoo.labs.samoa.learners.clusterers.LocalClustererProcessor
setSamplingThreshold(double) - Method in class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
setSizeEnsemble(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.BaggingDistributorProcessor: Sets the size ensemble.
setSizeEnsemble(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.PredictionCombinerProcessor: Sets the size ensemble.
setSourceClustering(Clustering) - Method in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
setSourceDelay(int) - Method in class com.yahoo.labs.samoa.streams.PrequentialSourceProcessor
setSplitIndex(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
setStatisticsBranchSplit(double[]) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
setStatisticsNewRuleActiveLearningNode(double[]) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
setStatisticsOtherBranchSplit(double[]) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
setStatisticsStream(Stream) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor
setStatisticsStream(Stream) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor
setStream(InstanceStream) - Method in class com.yahoo.labs.samoa.streams.StreamSource: Sets the stream.
setStreamId(String) - Method in class com.yahoo.labs.samoa.topology.AbstractStream: Set the name (ID) of this stream
setStreamSource(InstanceStream) - Method in class com.yahoo.labs.samoa.streams.ClusteringEntranceProcessor
setStreamSource(InstanceStream) - Method in class com.yahoo.labs.samoa.streams.PrequentialSourceProcessor
setStreamSource(InstanceStream) - Method in class com.yahoo.labs.samoa.streams.StreamSourceProcessor: Sets the stream source.
setSystem(String) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream.SamzaSystemStream
setSystemName(String) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaStream
setSystemNameForStreams(Set<Stream>) - Method in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
setTargetMean(TargetMean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
setTesting(boolean) - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent: Set testing flag.
setTopologyName(String) - Method in class com.yahoo.labs.samoa.topology.AbstractTopology: Sets the name of this topology
setTopologyName(String) - Method in interface com.yahoo.labs.samoa.topology.Topology: Set the topology's name
setTraining(boolean) - Method in class com.yahoo.labs.samoa.learners.InstanceContentEvent: Set training flag.
setTrainingStream(Stream) - Method in class com.yahoo.labs.samoa.learners.classifiers.ensemble.BoostingPredictionCombinerProcessor: Sets the training stream.
setupInstances() - Method in class com.yahoo.labs.samoa.topology.impl.ThreadsProcessingItem
setValue(int, double) - Method in class com.yahoo.labs.samoa.core.DoubleVector
setValue(int, double) - Method in class com.yahoo.labs.samoa.instances.DenseInstanceData
setValue(int, double) - Method in interface com.yahoo.labs.samoa.instances.Instance
setValue(int, double) - Method in interface com.yahoo.labs.samoa.instances.InstanceData
setValue(int, double) - Method in class com.yahoo.labs.samoa.instances.SingleClassInstanceData
setValue(int, double) - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
setValue(int, double) - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData
setValue(int, double) - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
setValueViaCLIString(String) - Method in class com.yahoo.labs.samoa.moa.options.AbstractClassOption
setValueViaCLIString(String) - Method in class com.yahoo.labs.samoa.moa.options.ClassOption
setW(int) - Method in class com.yahoo.labs.samoa.moa.classifiers.core.driftdetection.ADWIN
setWeight(double) - Method in interface com.yahoo.labs.samoa.instances.Instance
setWeight(double) - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
setWeight(double) - Method in class com.yahoo.labs.samoa.moa.cluster.SphereCluster
setWeight(double) - Method in interface com.yahoo.labs.samoa.moa.core.Example
setWeight(double) - Method in class com.yahoo.labs.samoa.moa.core.InstanceExample
setWeights(double[]) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
setYarnPackage(String) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEngine
setYarnPackage(String) - Method in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
setZooKeeper(String) - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEngine
setZookeeper(String) - Method in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
setZookeeper(String) - Static method in class com.yahoo.labs.samoa.utils.SystemsUtils
SHUFFLE - Static variable in class com.yahoo.labs.samoa.topology.impl.S4Stream
SHUFFLE - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
sigmaPercentageOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.HyperplaneGenerator
SilhouetteCoefficient - Class in com.yahoo.labs.samoa.evaluation.measures
SilhouetteCoefficient() - Constructor for class com.yahoo.labs.samoa.evaluation.measures.SilhouetteCoefficient
SimpleClassifierAdapter - Class in com.yahoo.labs.samoa.learners.classifiers: Base class for adapting external classifiers.
SimpleClassifierAdapter(Classifier, Instances) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.SimpleClassifierAdapter: Instantiates a new learner.
SimpleClassifierAdapter() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.SimpleClassifierAdapter: Instantiates a new learner.
SimpleComponentFactory - Class in com.yahoo.labs.samoa.topology.impl
SimpleComponentFactory() - Constructor for class com.yahoo.labs.samoa.topology.impl.SimpleComponentFactory
SimpleEngine - Class in com.yahoo.labs.samoa.topology.impl
SimpleEngine() - Constructor for class com.yahoo.labs.samoa.topology.impl.SimpleEngine
SimpleTopology - Class in com.yahoo.labs.samoa.topology.impl
SingleClassifier - Class in com.yahoo.labs.samoa.learners.classifiers: Classifier that contain a single classifier.
SingleClassifier() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.SingleClassifier
SingleClassInstanceData - Class in com.yahoo.labs.samoa.instances
SingleClassInstanceData() - Constructor for class com.yahoo.labs.samoa.instances.SingleClassInstanceData
SingleLabelInstance - Class in com.yahoo.labs.samoa.instances
SingleLabelInstance() - Constructor for class com.yahoo.labs.samoa.instances.SingleLabelInstance
SingleLabelInstance(SingleLabelInstance) - Constructor for class com.yahoo.labs.samoa.instances.SingleLabelInstance
SingleLabelInstance(double, double[]) - Constructor for class com.yahoo.labs.samoa.instances.SingleLabelInstance
SingleLabelInstance(double, double[], int[], int) - Constructor for class com.yahoo.labs.samoa.instances.SingleLabelInstance
SingleLabelInstance(double, InstanceData) - Constructor for class com.yahoo.labs.samoa.instances.SingleLabelInstance
SingleLabelInstance(int) - Constructor for class com.yahoo.labs.samoa.instances.SingleLabelInstance
SingleLearner - Class in com.yahoo.labs.samoa.learners.clusterers: Learner that contain a single learner.
SingleLearner() - Constructor for class com.yahoo.labs.samoa.learners.clusterers.SingleLearner
size() - Method in class com.yahoo.labs.samoa.moa.cluster.Clustering
size() - Method in class com.yahoo.labs.samoa.moa.cluster.Miniball.PointStorage
skip(long) - Method in class com.yahoo.labs.samoa.moa.core.InputStreamProgressMonitor
sm(double, double) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Tests if a is smaller than b.
SMALL - Static variable in class com.yahoo.labs.samoa.moa.core.Utils: The small deviation allowed in double comparisons.
smOrEq(double, double) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Tests if a is smaller or equal to b.
sort(int[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Sorts a given array of integers in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
sort(double[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Sorts a given array of doubles in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
sourceDelayOption - Variable in class com.yahoo.labs.samoa.tasks.ClusteringEvaluation
sourceDelayOption - Variable in class com.yahoo.labs.samoa.tasks.PrequentialEvaluation
sourceTypeOption - Variable in class com.yahoo.labs.samoa.streams.FileStream
SparseInstance - Class in com.yahoo.labs.samoa.instances
SparseInstance(double, double[]) - Constructor for class com.yahoo.labs.samoa.instances.SparseInstance
SparseInstance(SingleLabelInstance) - Constructor for class com.yahoo.labs.samoa.instances.SparseInstance
SparseInstance(double) - Constructor for class com.yahoo.labs.samoa.instances.SparseInstance
SparseInstance(double, double[], int[], int) - Constructor for class com.yahoo.labs.samoa.instances.SparseInstance
SparseInstanceData - Class in com.yahoo.labs.samoa.instances
SparseInstanceData(double[], int[], int) - Constructor for class com.yahoo.labs.samoa.instances.SparseInstanceData
SparseInstanceData(int) - Constructor for class com.yahoo.labs.samoa.instances.SparseInstanceData
speedOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
speedRangeOption - Variable in class com.yahoo.labs.samoa.moa.streams.clustering.RandomRBFGeneratorEvents
SphereCluster - Class in com.yahoo.labs.samoa.moa.cluster: A simple implementation of the Cluster interface representing spherical clusters.
SphereCluster(double[], double) - Constructor for class com.yahoo.labs.samoa.moa.cluster.SphereCluster
SphereCluster() - Constructor for class com.yahoo.labs.samoa.moa.cluster.SphereCluster
SphereCluster(double[], double, double) - Constructor for class com.yahoo.labs.samoa.moa.cluster.SphereCluster
SphereCluster(int, double, Random) - Constructor for class com.yahoo.labs.samoa.moa.cluster.SphereCluster
SphereCluster(List<? extends Instance>, int) - Constructor for class com.yahoo.labs.samoa.moa.cluster.SphereCluster
split() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule
splitConfidence(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
splitConfidence(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor.Builder
splitConfidence(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor.Builder
splitConfidence(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
splitConfidence(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesStatisticsProcessor.Builder
splitConfidenceOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
splitConfidenceOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
splitConfidenceOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
splitConfidenceOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.trees.VerticalHoeffdingTree
SplitCriterion - Interface in com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria: Interface for computing splitting criteria.
splitCriterionOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.trees.VerticalHoeffdingTree
SplitNode - Class in com.yahoo.labs.samoa.learners.classifiers.trees: SplitNode represents the node that contains one or more questions in the decision tree model, in order to route the instances into the correct leaf.
SplitNode(InstanceConditionalTest, double[]) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.trees.SplitNode
splitOptions(String) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Split up a string containing options into an array of strings, one for each option.
splitTest - Variable in class com.yahoo.labs.samoa.moa.classifiers.core.AttributeSplitSuggestion
squaredperceptronattributeStatistics - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
SS - Variable in class com.yahoo.labs.samoa.moa.cluster.CFCluster: Squared sum of all the points added to the cluster.
SSQ - Class in com.yahoo.labs.samoa.evaluation.measures
SSQ() - Constructor for class com.yahoo.labs.samoa.evaluation.measures.SSQ
stableSort(double[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Sorts a given array of doubles in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
start() - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEntranceProcessingItem.SamoaSystemConsumer
startSendingEvents() - Method in class com.yahoo.labs.samoa.topology.LocalEntranceProcessingItem: Start sending events by calling LocalEntranceProcessingItem.injectNextEvent().
StatisticalCollection - Class in com.yahoo.labs.samoa.evaluation.measures
StatisticalCollection() - Constructor for class com.yahoo.labs.samoa.evaluation.measures.StatisticalCollection
statistics(double[]) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule.Builder
Statistics - Class in com.yahoo.labs.samoa.moa.core
Statistics() - Constructor for class com.yahoo.labs.samoa.moa.core.Statistics
statisticsOtherBranchSplit() - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule
stirlingFormula(double) - Static method in class com.yahoo.labs.samoa.moa.core.Statistics: Returns the Gamma function computed by Stirling's formula.
stop() - Method in class com.yahoo.labs.samoa.topology.impl.SamzaEntranceProcessingItem.SamoaSystemConsumer
StormComponentFactory - Class in com.yahoo.labs.samoa.topology.impl: Component factory implementation for samoa-storm
StormComponentFactory() - Constructor for class com.yahoo.labs.samoa.topology.impl.StormComponentFactory
StormDoTask - Class in com.yahoo.labs.samoa.topology.impl: The main class that used by samoa script to execute SAMOA task.
StormDoTask() - Constructor for class com.yahoo.labs.samoa.topology.impl.StormDoTask
StormJarSubmitter - Class in com.yahoo.labs.samoa.topology.impl: Utility class to submit samoa-storm jar to a Storm cluster.
StormJarSubmitter() - Constructor for class com.yahoo.labs.samoa.topology.impl.StormJarSubmitter
StormSamoaUtils - Class in com.yahoo.labs.samoa.topology.impl: Utility class for samoa-storm project.
StormSamoaUtils() - Constructor for class com.yahoo.labs.samoa.topology.impl.StormSamoaUtils
StormTopology - Class in com.yahoo.labs.samoa.topology.impl: Adaptation of SAMOA topology in samoa-storm
StormTopology(String) - Constructor for class com.yahoo.labs.samoa.topology.impl.StormTopology
StormTopologySubmitter - Class in com.yahoo.labs.samoa.topology.impl: Helper class to submit SAMOA task into Storm without the need of submitting the jar file.
StormTopologySubmitter() - Constructor for class com.yahoo.labs.samoa.topology.impl.StormTopologySubmitter
stratify(int) - Method in class com.yahoo.labs.samoa.instances.Instances
Stream - Interface in com.yahoo.labs.samoa.topology: Stream interface.
StreamDestination - Class in com.yahoo.labs.samoa.utils: Represents one destination for streams.
StreamDestination(IProcessingItem, int, PartitioningScheme) - Constructor for class com.yahoo.labs.samoa.utils.StreamDestination
streams - Variable in class com.yahoo.labs.samoa.topology.impl.S4Stream
StreamSource - Class in com.yahoo.labs.samoa.streams: The Class StreamSource.
StreamSource(InstanceStream) - Constructor for class com.yahoo.labs.samoa.streams.StreamSource: Instantiates a new stream source.
StreamSourceProcessor - Class in com.yahoo.labs.samoa.streams: The Class StreamSourceProcessor.
StreamSourceProcessor() - Constructor for class com.yahoo.labs.samoa.streams.StreamSourceProcessor
streamTrainOption - Variable in class com.yahoo.labs.samoa.tasks.ClusteringEvaluation
streamTrainOption - Variable in class com.yahoo.labs.samoa.tasks.PrequentialEvaluation
StringUtils - Class in com.yahoo.labs.samoa.moa.core: Class implementing some string utility methods.
StringUtils() - Constructor for class com.yahoo.labs.samoa.moa.core.StringUtils
stringValue(int) - Method in interface com.yahoo.labs.samoa.instances.Instance
stringValue(int) - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
stripPackagePrefix(String, Class<?>) - Static method in class com.yahoo.labs.samoa.moa.options.AbstractClassOption: Gets the class name without its package name prefix.
submitTopology(SamzaTopology) - Static method in class com.yahoo.labs.samoa.topology.impl.SamzaEngine: Submit a list of Samza jobs correspond to the submitted topology
submitTopology(Topology) - Static method in class com.yahoo.labs.samoa.topology.impl.SimpleEngine
submitTopology(Topology, int) - Static method in class com.yahoo.labs.samoa.topology.impl.ThreadsEngine
subtractValues(DoubleVector) - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
subtractValues(double[]) - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
sum(double[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Computes the sum of the elements of an array of doubles.
sum(int[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Computes the sum of the elements of an array of integers.
sumOfValues() - Method in class com.yahoo.labs.samoa.core.DoubleVector
sumOfValues() - Method in class com.yahoo.labs.samoa.moa.core.DoubleVector
swap(int, int) - Method in class com.yahoo.labs.samoa.instances.Instances
SYSTEM_NAME - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
SystemsUtils - Class in com.yahoo.labs.samoa.utils: Utilities methods for: - Kafka - HDFS - Handling files on local FS
SystemsUtils() - Constructor for class com.yahoo.labs.samoa.utils.SystemsUtils

T

TargetMean - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common
TargetMean(TargetMean) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean
TargetMean(TargetMean.TargetMeanData) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean
TargetMean() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean
TargetMean.TargetMeanData - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common
TargetMean.TargetMeanData() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean.TargetMeanData
TargetMean.TargetMeanData(TargetMean) - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean.TargetMeanData
TargetMean.TargetMeanSerializer - Class in com.yahoo.labs.samoa.learners.classifiers.rules.common
TargetMean.TargetMeanSerializer() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean.TargetMeanSerializer
Task - Interface in com.yahoo.labs.samoa.moa.tasks: Interface representing a task.
Task - Interface in com.yahoo.labs.samoa.tasks: Task interface, the mother of all SAMOA tasks!
TASK_CLASS_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
TASK_INPUTS_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
TaskMonitor - Interface in com.yahoo.labs.samoa.moa.tasks: Interface representing a task monitor.
taskShouldAbort() - Method in class com.yahoo.labs.samoa.moa.tasks.NullMonitor
taskShouldAbort() - Method in interface com.yahoo.labs.samoa.moa.tasks.TaskMonitor: Gets whether the task should abort.
testCV(int, int) - Method in class com.yahoo.labs.samoa.instances.Instances
ThreadsComponentFactory - Class in com.yahoo.labs.samoa.topology.impl: ComponentFactory for multithreaded engine
ThreadsComponentFactory() - Constructor for class com.yahoo.labs.samoa.topology.impl.ThreadsComponentFactory
ThreadsEngine - Class in com.yahoo.labs.samoa.topology.impl: Multithreaded engine.
ThreadsEngine() - Constructor for class com.yahoo.labs.samoa.topology.impl.ThreadsEngine
ThreadsEntranceProcessingItem - Class in com.yahoo.labs.samoa.topology.impl: EntranceProcessingItem for multithreaded engine.
ThreadsEntranceProcessingItem(EntranceProcessor) - Constructor for class com.yahoo.labs.samoa.topology.impl.ThreadsEntranceProcessingItem
ThreadsEventRunnable - Class in com.yahoo.labs.samoa.topology.impl: Runnable class where each object corresponds to a ContentEvent and an assigned PI.
ThreadsEventRunnable(ThreadsProcessingItemInstance, ContentEvent) - Constructor for class com.yahoo.labs.samoa.topology.impl.ThreadsEventRunnable
ThreadsProcessingItem - Class in com.yahoo.labs.samoa.topology.impl: ProcessingItem for multithreaded engine.
ThreadsProcessingItem(Processor, int) - Constructor for class com.yahoo.labs.samoa.topology.impl.ThreadsProcessingItem
ThreadsProcessingItemInstance - Class in com.yahoo.labs.samoa.topology.impl: Lightweight replicas of ThreadProcessingItem.
ThreadsProcessingItemInstance(Processor, int) - Constructor for class com.yahoo.labs.samoa.topology.impl.ThreadsProcessingItemInstance
ThreadsStream - Class in com.yahoo.labs.samoa.topology.impl: Stream for multithreaded engine.
ThreadsStream(IProcessingItem) - Constructor for class com.yahoo.labs.samoa.topology.impl.ThreadsStream
ThreadsTopology - Class in com.yahoo.labs.samoa.topology.impl: Topology for multithreaded engine.
threshold(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
threshold(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule.Builder
threshold(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor.Builder
threshold(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
tieThreshold(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
tieThreshold(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor.Builder
tieThreshold(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor.Builder
tieThreshold(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
tieThreshold(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesStatisticsProcessor.Builder
tieThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
tieThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
tieThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
tieThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.trees.VerticalHoeffdingTree
timeLimitOption - Variable in class com.yahoo.labs.samoa.tasks.ClusteringEvaluation
timeLimitOption - Variable in class com.yahoo.labs.samoa.tasks.PrequentialEvaluation
timeOutOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.trees.VerticalHoeffdingTree
timeWindowOption - Variable in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
timeWindowOption - Variable in class com.yahoo.labs.samoa.moa.clusterers.clustream.Clustream
timeWindowOption - Variable in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans
toBytes(V) - Method in class com.yahoo.labs.samoa.utils.SamzaKryoSerdeFactory.SamzaKryoSerde
toDoubleArray() - Method in class com.yahoo.labs.samoa.instances.DenseInstanceData
toDoubleArray() - Method in interface com.yahoo.labs.samoa.instances.Instance
toDoubleArray() - Method in interface com.yahoo.labs.samoa.instances.InstanceData
toDoubleArray() - Method in class com.yahoo.labs.samoa.instances.SingleClassInstanceData
toDoubleArray() - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
toDoubleArray() - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData
Topology - Interface in com.yahoo.labs.samoa.topology
TopologyBuilder - Class in com.yahoo.labs.samoa.topology: Builder class that creates topology components and assemble them together.
TopologyBuilder() - Constructor for class com.yahoo.labs.samoa.topology.TopologyBuilder
TopologyBuilder(ComponentFactory) - Constructor for class com.yahoo.labs.samoa.topology.TopologyBuilder
toString() - Method in class com.yahoo.labs.samoa.core.DoubleVector
toString() - Method in class com.yahoo.labs.samoa.evaluation.ClusteringEvaluatorProcessor
toString() - Method in class com.yahoo.labs.samoa.evaluation.EvaluatorProcessor
toString() - Method in class com.yahoo.labs.samoa.examples.HelloWorldContentEvent
toString() - Method in class com.yahoo.labs.samoa.instances.Attribute
toString() - Method in class com.yahoo.labs.samoa.instances.DenseInstance
toString() - Method in interface com.yahoo.labs.samoa.instances.Instance
toString() - Method in class com.yahoo.labs.samoa.instances.Instances
toString() - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
toString() - Method in class com.yahoo.labs.samoa.moa.AbstractMOAObject: Returns a description of the object.
toString() - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate
toString() - Method in class com.yahoo.labs.samoa.moa.evaluation.MembershipMatrix
toStringArff() - Method in class com.yahoo.labs.samoa.instances.Instances
total() - Method in class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator.Estimator
totalWeightOfClassObservations() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver
totalWeightOfClassObservations() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NullAttributeClassObserver
trainCV(int, int, Random) - Method in class com.yahoo.labs.samoa.instances.Instances
trainingHasStarted() - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
trainingHasStarted() - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
trainingHasStarted() - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
trainingHasStarted() - Method in interface com.yahoo.labs.samoa.moa.learners.Learner: Gets whether training has started.
trainingWeightSeenByModel() - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
trainingWeightSeenByModel() - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
trainingWeightSeenByModel() - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
trainingWeightSeenByModel() - Method in interface com.yahoo.labs.samoa.moa.learners.Learner: Gets the sum of the weights of the instances that have been used by this learner during the training in trainOnInstance
trainOnInstance(Instance) - Method in interface com.yahoo.labs.samoa.learners.classifiers.LocalLearner: Trains this classifier incrementally using the given instance.
trainOnInstance(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.NaiveBayes: Trains this classifier incrementally using the given instance.
trainOnInstance(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.SimpleClassifierAdapter: Trains this classifier incrementally using the given instance.
trainOnInstance(Instance) - Method in class com.yahoo.labs.samoa.learners.clusterers.ClustreamClustererAdapter: Trains this classifier incrementally using the given instance.
trainOnInstance(Instance) - Method in interface com.yahoo.labs.samoa.learners.clusterers.LocalClustererAdapter: Trains this classifier incrementally using the given instance.
trainOnInstance(Instance) - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
trainOnInstance(Example<Instance>) - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier
trainOnInstance(Instance) - Method in interface com.yahoo.labs.samoa.moa.classifiers.Classifier: Trains this learner incrementally using the given example.
trainOnInstance(Instance) - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
trainOnInstance(Instance) - Method in interface com.yahoo.labs.samoa.moa.clusterers.Clusterer
trainOnInstance(E) - Method in interface com.yahoo.labs.samoa.moa.learners.Learner: Trains this learner incrementally using the given example.
trainOnInstanceImpl(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor
trainOnInstanceImpl(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron: Update the model using the provided instance
trainOnInstanceImpl(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean
trainOnInstanceImpl(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRDefaultRuleProcessor
trainOnInstanceImpl(Instance) - Method in class com.yahoo.labs.samoa.moa.classifiers.AbstractClassifier: Trains this classifier incrementally using the given instance.

The reason for ...Impl methods: ease programmer burden by not requiring them to remember calls to super in overridden methods.
trainOnInstanceImpl(Instance) - Method in class com.yahoo.labs.samoa.moa.classifiers.functions.MajorityClass
trainOnInstanceImpl(Instance) - Method in class com.yahoo.labs.samoa.moa.clusterers.AbstractClusterer
trainOnInstanceImpl(Instance) - Method in class com.yahoo.labs.samoa.moa.clusterers.ClusterGenerator
trainOnInstanceImpl(Instance) - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.Clustream
trainOnInstanceImpl(Instance) - Method in class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans
treeRandomSeedOption - Variable in class com.yahoo.labs.samoa.moa.streams.generators.RandomTreeGenerator
tryToExpand(double, double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.ActiveRule: Try to Expand method.
tryToExpand(double, double) - Method in interface com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveLearningNode
tryToExpand(double, double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode

U

unbackQuoteChars(String) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: The inverse operation of backQuoteChars().
UniformWeightedVote - Class in com.yahoo.labs.samoa.moa.classifiers.rules.core.voting: UniformWeightedVote class for weighted votes based on estimates of errors.
UniformWeightedVote() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.UniformWeightedVote
UniformWeightedVote(AbstractErrorWeightedVote) - Constructor for class com.yahoo.labs.samoa.moa.classifiers.rules.core.voting.UniformWeightedVote
univariateAnomalyProbabilityThreshold(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
univariateAnomalyProbabilityThreshold(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRLearnerProcessor.Builder
univariateAnomalyProbabilityThreshold(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor.Builder
univariateAnomalyProbabilityThreshold(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
univariateAnomalyProbabilityThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
univariateAnomalyProbabilityThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
univariateAnomalyProbabilityThresholdOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
unorderedRules(boolean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
unorderedRules(boolean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor.Builder
unorderedRules(boolean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
unorderedRulesOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
unorderedRulesOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
unorderedRulesOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
unquote(String) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: unquotes are previously quoted string (but only if necessary), i.e., it removes the single quotes around it.
update(double) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection.PageHinkleyFading
update(double) - Method in class com.yahoo.labs.samoa.moa.classifiers.rules.driftdetection.PageHinkleyTest
updateChangeDetection(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
updatePageHinckleyTest(double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
updateStatistics(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.LearningRule
updateStatistics(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleActiveRegressionNode
updateStatistics(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RulePassiveRegressionNode
updateStatistics(Instance) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.RuleRegressionNode
updateWeight(int, double) - Method in class com.yahoo.labs.samoa.moa.core.DataPoint
updateWeights(Instance, double) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron
UPLOADED_JAR_LOCATION_KEY - Static variable in class com.yahoo.labs.samoa.topology.impl.StormJarSubmitter
Utils - Class in com.yahoo.labs.samoa.instances
Utils() - Constructor for class com.yahoo.labs.samoa.instances.Utils
Utils - Class in com.yahoo.labs.samoa.moa.core: Class implementing some simple utility methods.
Utils() - Constructor for class com.yahoo.labs.samoa.moa.core.Utils
Utils - Class in com.yahoo.labs.samoa.utils: Utils class for building and deploying applications programaticaly.
Utils() - Constructor for class com.yahoo.labs.samoa.utils.Utils

V

value(int) - Method in class com.yahoo.labs.samoa.instances.Attribute
value(int) - Method in class com.yahoo.labs.samoa.instances.DenseInstanceData
value(int) - Method in interface com.yahoo.labs.samoa.instances.Instance
value(Attribute) - Method in interface com.yahoo.labs.samoa.instances.Instance
value(int) - Method in interface com.yahoo.labs.samoa.instances.InstanceData
value(int) - Method in class com.yahoo.labs.samoa.instances.SingleClassInstanceData
value(int) - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
value(Attribute) - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
value(int) - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData
valueOf(String) - Static method in enum com.yahoo.labs.samoa.utils.PartitioningScheme: Returns the enum constant of this type with the specified name.
values() - Static method in enum com.yahoo.labs.samoa.utils.PartitioningScheme: Returns an array containing the constants of this enum type, in the order they are declared.
valueSparse(int) - Method in class com.yahoo.labs.samoa.instances.DenseInstanceData
valueSparse(int) - Method in interface com.yahoo.labs.samoa.instances.Instance
valueSparse(int) - Method in interface com.yahoo.labs.samoa.instances.InstanceData
valueSparse(int) - Method in class com.yahoo.labs.samoa.instances.SingleClassInstanceData
valueSparse(int) - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
valueSparse(int) - Method in class com.yahoo.labs.samoa.instances.SparseInstanceData
variance(double[]) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Computes the variance for an array of doubles.
VarianceReductionSplitCriterion - Class in com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria
VarianceReductionSplitCriterion() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.splitcriteria.VarianceReductionSplitCriterion
versionString - Static variable in class com.yahoo.labs.samoa.core.Globals
VerticalAMRulesRegressor - Class in com.yahoo.labs.samoa.learners.classifiers.rules: Vertical AMRules Regressor is a distributed learner for regression rules learner.
VerticalAMRulesRegressor() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor
VerticalHoeffdingTree - Class in com.yahoo.labs.samoa.learners.classifiers.trees: Vertical Hoeffding Tree.
VerticalHoeffdingTree() - Constructor for class com.yahoo.labs.samoa.learners.classifiers.trees.VerticalHoeffdingTree
VFMLNumericAttributeClassObserver - Class in com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers: Class for observing the class data distribution for a numeric attribute as in VFML.
VFMLNumericAttributeClassObserver() - Constructor for class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.VFMLNumericAttributeClassObserver
voteType(ErrorWeightedVote) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.centralized.AMRulesRegressorProcessor.Builder
voteType(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRRuleSetProcessor.Builder
voteType(int) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.distributed.AMRulesAggregatorProcessor.Builder
votingTypeOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.AMRulesRegressor
votingTypeOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.HorizontalAMRulesRegressor
votingTypeOption - Variable in class com.yahoo.labs.samoa.learners.classifiers.rules.VerticalAMRulesRegressor

W

webAddress - Static variable in class com.yahoo.labs.samoa.core.Globals
weight() - Method in interface com.yahoo.labs.samoa.instances.Instance
weight() - Method in class com.yahoo.labs.samoa.instances.SingleLabelInstance
weight() - Method in interface com.yahoo.labs.samoa.moa.core.Example
weight() - Method in class com.yahoo.labs.samoa.moa.core.InstanceExample
weightOfObservedMissingValues() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NominalAttributeClassObserver
weightOfObservedMissingValues() - Method in class com.yahoo.labs.samoa.moa.classifiers.core.attributeclassobservers.NullAttributeClassObserver
widthOption - Variable in class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator
WindowClassificationPerformanceEvaluator - Class in com.yahoo.labs.samoa.evaluation: Classification evaluator that updates evaluation results using a sliding window.
WindowClassificationPerformanceEvaluator() - Constructor for class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator
WindowClassificationPerformanceEvaluator.Estimator - Class in com.yahoo.labs.samoa.evaluation
WindowClassificationPerformanceEvaluator.Estimator(int) - Constructor for class com.yahoo.labs.samoa.evaluation.WindowClassificationPerformanceEvaluator.Estimator
WithKmeans - Class in com.yahoo.labs.samoa.moa.clusterers.clustream
WithKmeans() - Constructor for class com.yahoo.labs.samoa.moa.clusterers.clustream.WithKmeans
workbenchTitle - Static variable in class com.yahoo.labs.samoa.core.Globals
write(Kryo, Output, Perceptron) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.Perceptron.PerceptronSerializer
write(Kryo, Output, TargetMean) - Method in class com.yahoo.labs.samoa.learners.classifiers.rules.common.TargetMean.TargetMeanSerializer
write(Kryo, Output, AttributeContentEvent) - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.AttributeContentEvent.AttributeCEFullPrecSerializer
write(Kryo, Output, AttributeContentEvent) - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.AttributeContentEvent.AttributeCESerializer
write(Kryo, Output, ComputeContentEvent) - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.ComputeContentEvent.ComputeCEFullPrecSerializer
write(Kryo, Output, ComputeContentEvent) - Method in class com.yahoo.labs.samoa.learners.classifiers.trees.ComputeContentEvent.ComputeCESerializer
write(int) - Method in class com.yahoo.labs.samoa.moa.core.SerializeUtils.ByteCountingOutputStream
write(byte[], int, int) - Method in class com.yahoo.labs.samoa.moa.core.SerializeUtils.ByteCountingOutputStream
write(byte[]) - Method in class com.yahoo.labs.samoa.moa.core.SerializeUtils.ByteCountingOutputStream
write(Kryo, Output, Object) - Method in class com.yahoo.labs.samoa.utils.SerializableSerializer
writeToFile(File, Serializable) - Static method in class com.yahoo.labs.samoa.moa.core.SerializeUtils

X

xlogx(int) - Static method in class com.yahoo.labs.samoa.moa.core.Utils: Returns c*log2(c) for a given integer value c.

Y

YARN_CONF_HOME_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
YARN_PACKAGE_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory
YJP_OPTIONS_KEY - Static variable in class com.yahoo.labs.samoa.topology.impl.StormTopologySubmitter

Z

ZOOKEEPER_URI_KEY - Static variable in class com.yahoo.labs.samoa.utils.SamzaConfigFactory

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z