Uses of Class
com.github.pmerienne.trident.ml.core.Instance

Packages that use Instance

Package	Description
com.github.pmerienne.trident.ml.preprocessing
com.github.pmerienne.trident.ml.stats
com.github.pmerienne.trident.ml.testing
com.github.pmerienne.trident.ml.testing.data

Uses of Instance in com.github.pmerienne.trident.ml.preprocessing

Methods in com.github.pmerienne.trident.ml.preprocessing that return Instance

Modifier and Type	Method and Description
protected Instance<L>	InstanceCreator.createInstance(storm.trident.tuple.TridentTuple tuple)
protected Instance<?>	Normalizer.normalize(Instance<?> instance)
protected Instance<?>	StandardScaler.standardize(Instance<?> instance, StreamStatistics streamStatistics)

Methods in com.github.pmerienne.trident.ml.preprocessing with parameters of type Instance

Modifier and Type	Method and Description
protected Instance<?>	Normalizer.normalize(Instance<?> instance)
protected Instance<?>	StandardScaler.standardize(Instance<?> instance, StreamStatistics streamStatistics)

Uses of Instance in com.github.pmerienne.trident.ml.stats

Methods in com.github.pmerienne.trident.ml.stats that return types with arguments of type Instance

Modifier and Type	Method and Description
protected List<Instance<?>>	StreamStatisticsUpdater.extractInstances(List<storm.trident.tuple.TridentTuple> tuples)

Method parameters in com.github.pmerienne.trident.ml.stats with type arguments of type Instance

Modifier and Type	Method and Description
protected void	StreamStatisticsUpdater.updateStatistics(StreamStatistics streamStatistics, List<Instance<?>> instances)

Uses of Instance in com.github.pmerienne.trident.ml.testing

Methods in com.github.pmerienne.trident.ml.testing that return Instance

Modifier and Type	Method and Description
protected Instance<Boolean>	NANDSpout.createRandomNAND()

Uses of Instance in com.github.pmerienne.trident.ml.testing.data

Methods in com.github.pmerienne.trident.ml.testing.data that return types with arguments of type Instance

Modifier and Type	Method and Description
static List<Instance<Boolean>>	Datasets.generateDataForClassification(int size, int featureSize)
static List<Instance<Integer>>	Datasets.generateDataForClusterization(int nbCluster, int nbInstances)
static List<Instance<Integer>>	Datasets.generateDataForMultiLabelClassification(int size, int featureSize, int nbClasses)
static List<Instance<Double>>	Datasets.generateDataForRegression(int size, int featureSize)
static List<Instance<Boolean>>	Datasets.generatedNandInstances(int nb)
static List<Instance<Boolean>>	Datasets.generateNonSeparatableDataForClassification(int size)
static List<Instance<Double>>	Datasets.getBIRTHSSamples()
static List<Instance<Integer>>	Datasets.getClusteringSamples()
static List<Instance<Boolean>>	Datasets.getSpamSamples()
static List<Instance<Integer>>	Datasets.getUSPSSamples()