Index (streaminer 1.0-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 Z

A

AbstractClassifier<D,C> - Class in org.streaminer.stream.classifier: This class implements an abstract classifier, i.e.
AbstractClassifier() - Constructor for class org.streaminer.stream.classifier.AbstractClassifier
AbstractIterator<T> - Class in org.streaminer.util: Rough and ready clone of the Guava AbstractIterator.
AbstractIterator() - Constructor for class org.streaminer.util.AbstractIterator
AbstractMultiClassifier<D,C> - Class in org.streaminer.stream.classifier
AbstractMultiClassifier() - Constructor for class org.streaminer.stream.classifier.AbstractMultiClassifier
AbstractRegressor<D> - Class in org.streaminer.stream.learner
AbstractRegressor() - Constructor for class org.streaminer.stream.learner.AbstractRegressor
AC - Static variable in class org.streaminer.stream.cardinality.CountThenEstimate
AdaptiveCounting - Class in org.streaminer.stream.cardinality: Based on the adaptive counting approach of:
Fast and Accurate Traffic Matrix Measurement Using Adaptive Cardinality Counting
by: Cai, Pan, Kwok, and Hwang
AdaptiveCounting(int) - Constructor for class org.streaminer.stream.cardinality.AdaptiveCounting
AdaptiveCounting(byte[]) - Constructor for class org.streaminer.stream.cardinality.AdaptiveCounting
AdaptiveCounting.Builder - Class in org.streaminer.stream.cardinality
AdaptiveCounting.Builder() - Constructor for class org.streaminer.stream.cardinality.AdaptiveCounting.Builder
AdaptiveCounting.Builder(int) - Constructor for class org.streaminer.stream.cardinality.AdaptiveCounting.Builder
add(double) - Method in interface org.streaminer.stream.avg.IAverage: Add a new value to the data structure and updates the average.
add(double) - Method in class org.streaminer.stream.avg.MovingAverage
add(double) - Method in class org.streaminer.stream.avg.SimpleEWMA: Add adds a value to the series and updates the moving average.
add(double) - Method in class org.streaminer.stream.avg.VariableEWMA: Add adds a value to the series and updates the moving average.
add(TreeNode) - Method in class org.streaminer.stream.classifier.tree.TreeNode
add(T, T) - Method in class org.streaminer.stream.eval.ConfusionMatrix: Adds a classification instance (true and predicted label) to this ConfusionMatrix.
add(Long) - Method in class org.streaminer.stream.frequency.AMSSketch
add(Long, long) - Method in class org.streaminer.stream.frequency.AMSSketch
add(AMSSketch) - Method in class org.streaminer.stream.frequency.AMSSketch
add(T) - Method in class org.streaminer.stream.frequency.BaseFrequency
add(Integer) - Method in class org.streaminer.stream.frequency.CCFCSketch
add(Integer, long) - Method in class org.streaminer.stream.frequency.CCFCSketch
add(Object) - Method in class org.streaminer.stream.frequency.CountMinSketchAlt
add(Object, long) - Method in class org.streaminer.stream.frequency.CountMinSketchAlt
add(T, long) - Method in class org.streaminer.stream.frequency.CountSketch: Counts the item by passing it to the internal data strucutre.
add(T) - Method in interface org.streaminer.stream.frequency.IBaseFrequency: Add a single element to the data structure.
add(T, long) - Method in interface org.streaminer.stream.frequency.IBaseFrequency: Offer a single element to the data structure and increment the count for that element by incrementCount.
add(T, long) - Method in class org.streaminer.stream.frequency.LossyCounting
add(Boolean, long) - Method in class org.streaminer.stream.frequency.Majority
add(T, long) - Method in class org.streaminer.stream.frequency.MisraGries
add(T, long) - Method in class org.streaminer.stream.frequency.RealCounting
add(T, long) - Method in class org.streaminer.stream.frequency.SimpleTopKCounting: This method actually does all the work when learning from the stream.
add(T, long) - Method in class org.streaminer.stream.frequency.SpaceSaving
add(T, long) - Method in class org.streaminer.stream.frequency.StickySampling
add(T) - Method in class org.streaminer.stream.frequency.topk.ConcurrentStreamSummary
add(T, long) - Method in class org.streaminer.stream.frequency.topk.ConcurrentStreamSummary
add(T) - Method in class org.streaminer.stream.frequency.topk.Frequent
add(T, long) - Method in class org.streaminer.stream.frequency.topk.Frequent
add(T, long) - Method in class org.streaminer.stream.frequency.topk.StochasticTopper
add(T) - Method in class org.streaminer.stream.frequency.topk.StochasticTopper
add(T) - Method in class org.streaminer.stream.frequency.topk.StreamSummary: Algorithm: Space-Saving
add(T, long) - Method in class org.streaminer.stream.frequency.topk.StreamSummary: Algorithm: Space-Saving
add(String) - Method in class org.streaminer.stream.membership.BloomFilter
add(byte[]) - Method in class org.streaminer.stream.membership.BloomFilter
add(String) - Method in class org.streaminer.stream.membership.Filter
add(T) - Method in class org.streaminer.stream.model.SlidingWindow: Adds a new element to the window.
add(T, Integer) - Method in class org.streaminer.stream.model.SlidingWindow: Adds a new element to the window.
add(TDigest.Group) - Method in class org.streaminer.stream.quantile.GroupTree
add(double) - Method in class org.streaminer.stream.quantile.TDigest: Adds a sample to a histogram.
add(double, int) - Method in class org.streaminer.stream.quantile.TDigest: Adds a sample to a histogram.
add(TDigest) - Method in class org.streaminer.stream.quantile.TDigest
add(double, int) - Method in class org.streaminer.stream.quantile.TDigest.Group
add(T) - Method in class org.streaminer.util.DoublyLinkedList: Append to head of list
add(ListNode2<T>) - Method in class org.streaminer.util.DoublyLinkedList
addAfter(ListNode2<T>, T) - Method in class org.streaminer.util.DoublyLinkedList
addAfter(ListNode2<T>, ListNode2<T>) - Method in class org.streaminer.util.DoublyLinkedList
addAll(HyperLogLog) - Method in class org.streaminer.stream.cardinality.HyperLogLog: Add all the elements of the other set to this set.
addAll(HyperLogLogPlus) - Method in class org.streaminer.stream.cardinality.HyperLogLogPlus: Add all the elements of the other set to this set.
addAndGetCount(long) - Method in class org.streaminer.stream.frequency.util.ScoredItem
addChild(HoeffdingTreeNode, Serializable) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTreeNode: Adds a child to this node (which is then the parent of the specified node) for the specified branch.
addElement(double) - Method in class org.streaminer.stream.quantile.rss.Subset: this method adds a value to the subset
addElement(double) - Method in class org.streaminer.stream.quantile.rss.SubsetTree: Adds specified value to all subsets
addExample(Data) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree.NodeData: Extracts the needed data of the specified example and adds it to the node data
addFalseNegative() - Method in class org.streaminer.stream.eval.TableOfConfusion: Short form of TableOfConfusion.addFalseNegative(1).
addFalseNegative(long) - Method in class org.streaminer.stream.eval.TableOfConfusion: Adds the amount specified by the argument delta to the internal data structure for the counting of false negative instances.
addFalsePositive() - Method in class org.streaminer.stream.eval.TableOfConfusion: Short form of TableOfConfusion.addFalsePositive(1).
addFalsePositive(long) - Method in class org.streaminer.stream.eval.TableOfConfusion: Adds the amount specified by the argument delta to the internal data structure for the counting of false positive instances.
addJSON(JSONArray, DecimalFormat) - Method in class org.streaminer.stream.histogram.spdt.ArrayCategoricalTarget
addJSON(JSONArray, DecimalFormat) - Method in class org.streaminer.stream.histogram.spdt.GroupTarget
addJSON(JSONArray, DecimalFormat) - Method in class org.streaminer.stream.histogram.spdt.MapCategoricalTarget
addJSON(JSONArray, DecimalFormat) - Method in class org.streaminer.stream.histogram.spdt.NumericTarget
addJSON(JSONArray, DecimalFormat) - Method in class org.streaminer.stream.histogram.spdt.SimpleTarget
addJSON(JSONArray, DecimalFormat) - Method in class org.streaminer.stream.histogram.spdt.Target
addLabel(T) - Method in class org.streaminer.stream.eval.ConfusionMatrix: Adds the provided label to the list of labels.
addLabels(List<T>) - Method in class org.streaminer.stream.eval.ConfusionMatrix: Adds the provided list of labels to the internal list of labels.
AddMax - Class in org.streaminer.stream.mapper
AddMax() - Constructor for class org.streaminer.stream.mapper.AddMax
AddMinMax - Class in org.streaminer.stream.mapper
AddMinMax() - Constructor for class org.streaminer.stream.mapper.AddMinMax
addToChild(CFEntry) - Method in class org.streaminer.stream.clustering.birch.CFEntry
addToEntryList(CFEntry) - Method in class org.streaminer.stream.clustering.birch.CFNode
addTotalCount(Bin<T>) - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
addTrueNegative() - Method in class org.streaminer.stream.eval.TableOfConfusion: Short form of TableOfConfusion.addTrueNegative(1).
addTrueNegative(long) - Method in class org.streaminer.stream.eval.TableOfConfusion: Adds the amount specified by the argument delta to the internal data structure for the counting of true negative instances.
addTruePositive() - Method in class org.streaminer.stream.eval.TableOfConfusion: Short form of TableOfConfusion.addTruePositive(1).
addTruePositive(long) - Method in class org.streaminer.stream.eval.TableOfConfusion: Adds the amount specified by the argument delta to the internal data structure for the counting of true positive instances.
alwaysMatchingBloomFilter() - Static method in class org.streaminer.stream.membership.BloomFilter
AMSSketch - Class in org.streaminer.stream.frequency: "Tug of War" sketches due to Alon, Matias and Szegedy 96, and Alon, Gibbons, Matias and Szegedy, 99.
AMSSketch(int, int) - Constructor for class org.streaminer.stream.frequency.AMSSketch
ANNOTATION_PREFIX - Static variable in interface org.streaminer.stream.data.Data: Attributes starting with an '@' character are regarded as annotations, i.e.
apply(long) - Method in interface org.streaminer.stream.sampling.gamma.GammaFunction: Return the number of items to skip.
apply(long) - Method in class org.streaminer.stream.sampling.gamma.R: Keep generating random numbers until we reache a random number that is <= n.
apply(long) - Method in class org.streaminer.stream.sampling.gamma.Z
applyMergingRefinement() - Method in class org.streaminer.stream.clustering.birch.CFNode
ArrayBinReservoir<T extends Target> - Class in org.streaminer.stream.histogram.spdt: This class implements bin operations (insertions, merges, etc) for a histogram.
ArrayBinReservoir(int, boolean, Long) - Constructor for class org.streaminer.stream.histogram.spdt.ArrayBinReservoir
ArrayCategoricalTarget - Class in org.streaminer.stream.histogram.spdt
ArrayCategoricalTarget(Map<Object, Integer>, double) - Constructor for class org.streaminer.stream.histogram.spdt.ArrayCategoricalTarget
ArrayCategoricalTarget(Map<Object, Integer>, Object) - Constructor for class org.streaminer.stream.histogram.spdt.ArrayCategoricalTarget
ArrayUtils - Class in org.streaminer.util
ArrayUtils() - Constructor for class org.streaminer.util.ArrayUtils
asBytes(ByteBuffer) - Method in class org.streaminer.stream.quantile.TDigest: Outputs a histogram as bytes using a particularly cheesy encoding.
asSmallBytes(ByteBuffer) - Method in class org.streaminer.stream.quantile.TDigest
AttributeFilter - Class in org.streaminer.stream.mapper
AttributeFilter() - Constructor for class org.streaminer.stream.mapper.AttributeFilter
attributes - Variable in class org.streaminer.stream.classifier.AbstractMultiClassifier
average - Variable in class org.streaminer.stream.avg.SimpleEWMA: The current value of the average.
averageTarget(double) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns a Target object representing the average (or expected) target value for point p.
AVG_METRIC_AGE - Static variable in class org.streaminer.stream.avg.SimpleEWMA: By default, we average over a one-minute period, which means the average age of the metrics in the period is 30 seconds.

B

b_e - Variable in class org.streaminer.stream.cardinality.AdaptiveCounting: Number of empty buckets
B_s - Variable in class org.streaminer.stream.cardinality.AdaptiveCounting: Switching empty bucket ratio
BaseFrequency<T> - Class in org.streaminer.stream.frequency
BaseFrequency() - Constructor for class org.streaminer.stream.frequency.BaseFrequency
BaseFrequency(double) - Constructor for class org.streaminer.stream.frequency.BaseFrequency
Bin<T extends Target> - Class in org.streaminer.stream.histogram.spdt
Bin(double, double, T) - Constructor for class org.streaminer.stream.histogram.spdt.Bin
Bin(Bin<T>) - Constructor for class org.streaminer.stream.histogram.spdt.Bin
BinaryTreeNode - Class in org.streaminer.stream.classifier.tree: This class is a simple implementation of a binary tree node.
BinaryTreeNode(String, BinaryTreeNode<I, V>) - Constructor for class org.streaminer.stream.classifier.tree.BinaryTreeNode
BinaryTreeNode(String, BinaryTreeNode<I, V>, BinaryTreeNode<I, V>) - Constructor for class org.streaminer.stream.classifier.tree.BinaryTreeNode
BinReservoir<T extends Target> - Class in org.streaminer.stream.histogram.spdt
BinReservoir(int, boolean, Long) - Constructor for class org.streaminer.stream.histogram.spdt.BinReservoir
BinUpdateException - Exception in org.streaminer.stream.histogram.spdt
BinUpdateException(String) - Constructor for exception org.streaminer.stream.histogram.spdt.BinUpdateException
bits() - Method in class org.streaminer.stream.cardinality.RegisterSet
Bits - Class in org.streaminer.util
Bits() - Constructor for class org.streaminer.util.Bits
BitSetSerializer - Class in org.streaminer.stream.membership
BitSetSerializer() - Constructor for class org.streaminer.stream.membership.BitSetSerializer
BloomCalculations - Class in org.streaminer.stream.membership: The following calculations are taken from: http://www.cs.wisc.edu/~cao/papers/summary-cache/node8.html "Bloom Filters - the math"
This class's static methods are meant to facilitate the use of the Bloom Filter class by helping to choose correct values of 'bits per element' and 'number of hash functions, k'.
BloomCalculations() - Constructor for class org.streaminer.stream.membership.BloomCalculations
BloomCalculations.BloomSpecification - Class in org.streaminer.stream.membership: A wrapper class that holds two key parameters for a Bloom Filter: the number of hash functions used, and the number of buckets per element used.
BloomCalculations.BloomSpecification(int, int) - Constructor for class org.streaminer.stream.membership.BloomCalculations.BloomSpecification
BloomFilter - Class in org.streaminer.stream.membership
BloomFilter(int, int) - Constructor for class org.streaminer.stream.membership.BloomFilter
BloomFilter(int, double) - Constructor for class org.streaminer.stream.membership.BloomFilter
BoundedBayes - Class in org.streaminer.stream.classifier.bayes: This class implements a NaiveBayes learner for nominal values.
BoundedBayes() - Constructor for class org.streaminer.stream.classifier.bayes.BoundedBayes
BTreeNode - Class in org.streaminer.stream.classifier.tree: This class implements a simple binary tree node.
BTreeNode(String, Double) - Constructor for class org.streaminer.stream.classifier.tree.BTreeNode: constructs new BTreeNode object as root
BTreeNode(String, Double, BTreeNode) - Constructor for class org.streaminer.stream.classifier.tree.BTreeNode: constructs new BTreeNode object as leaf node
Bucket - Class in org.streaminer.stream.quantile.rss: Buckets are the main ingredient for sliding windows.
Bucket(float, float, int) - Constructor for class org.streaminer.stream.quantile.rss.Bucket
bucketList - Variable in class org.streaminer.stream.frequency.topk.StreamSummary
buckets() - Method in class org.streaminer.stream.membership.BloomFilter
build() - Method in class org.streaminer.stream.cardinality.AdaptiveCounting.Builder
build() - Method in class org.streaminer.stream.cardinality.HyperLogLog.Builder
build(byte[]) - Static method in class org.streaminer.stream.cardinality.HyperLogLog.Builder
build() - Method in class org.streaminer.stream.cardinality.HyperLogLogPlus.Builder
build(byte[]) - Static method in class org.streaminer.stream.cardinality.HyperLogLogPlus.Builder
build() - Method in class org.streaminer.stream.cardinality.LinearCounting.Builder
build() - Method in class org.streaminer.stream.cardinality.LogLog.Builder
build(long) - Method in interface org.streaminer.util.hash.factory.HashFunctionFactory
build(long) - Method in class org.streaminer.util.hash.factory.SimpleHashFactory
build(long) - Method in class org.streaminer.util.hash.factory.TwoUniversalHashFactory
build() - Method in interface org.streaminer.util.IBuilder
builder - Variable in class org.streaminer.stream.cardinality.CountThenEstimate: Factory for instantiating estimator after the tipping point is reached
byteSize() - Method in class org.streaminer.stream.quantile.TDigest: Returns an upper bound on the number bytes that will be required to represent this histogram.

C

Ca - Variable in class org.streaminer.stream.cardinality.LogLog
calculateAccuracy() - Method in class org.streaminer.stream.eval.ConfusionMatrix: Calculates and returns the overall accuracy for this confusion matrix in range [0,1].
calculateAccuracy() - Method in class org.streaminer.stream.eval.TableOfConfusion: Calculates and returns the accuracy value.
calculateFScore() - Method in class org.streaminer.stream.eval.TableOfConfusion: Calculates and returns the f-score value.
calculatePrecision() - Method in class org.streaminer.stream.eval.TableOfConfusion: Calculates and returns the precision value.
calculateRadius(int, T) - Static method in class org.streaminer.util.distance.Radius
calculateRecall() - Method in class org.streaminer.stream.eval.TableOfConfusion: Calculates and returns the recall value.
calculateSpecificity() - Method in class org.streaminer.stream.eval.TableOfConfusion: Calculates and returns the specificity value.
canHandleInterval(int, int) - Method in class org.streaminer.stream.quantile.rss.Subset: Checks if the specified interval is selected in our subset
CANT_ESTIMATE - Static variable in class org.streaminer.stream.quantile.rss.RSSQuantiles
capacity - Variable in class org.streaminer.stream.frequency.topk.StreamSummary
cardinality() - Method in class org.streaminer.stream.cardinality.AdaptiveCounting
cardinality() - Method in class org.streaminer.stream.cardinality.CountThenEstimate
cardinality() - Method in class org.streaminer.stream.cardinality.HyperLogLog
cardinality() - Method in class org.streaminer.stream.cardinality.HyperLogLogPlus: Gather the cardinality estimate from this estimator.
cardinality() - Method in interface org.streaminer.stream.cardinality.ICardinality
cardinality() - Method in class org.streaminer.stream.cardinality.LinearCounting
cardinality() - Method in class org.streaminer.stream.cardinality.LogLog
CardinalityMergeException - Exception in org.streaminer.stream.cardinality
CardinalityMergeException(String) - Constructor for exception org.streaminer.stream.cardinality.CardinalityMergeException
CategoricalTarget - Interface in org.streaminer.stream.histogram.spdt
CCFCSketch - Class in org.streaminer.stream.frequency: Count sketches from Charikar, Chen, Farach-Colton '02.
CCFCSketch(int, int, int, int) - Constructor for class org.streaminer.stream.frequency.CCFCSketch: Create the data structure for Adaptive Group Testing Keep T tests.
cdf(double) - Method in class org.streaminer.stream.quantile.TDigest
ceiling(double) - Method in class org.streaminer.stream.histogram.spdt.ArrayBinReservoir
ceiling(double) - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
ceiling(double) - Method in class org.streaminer.stream.histogram.spdt.TreeBinReservoir
ceiling(TDigest.Group) - Method in class org.streaminer.stream.quantile.GroupTree
ceilToNext(int) - Static method in class org.streaminer.util.math.PowerOfTwo: Rounds the given value to the next power of two that is greater than the value.
centroidCount() - Method in class org.streaminer.stream.quantile.TDigest
centroids() - Method in class org.streaminer.stream.quantile.TDigest
CFEntry - Class in org.streaminer.stream.clustering.birch
CFEntry() - Constructor for class org.streaminer.stream.clustering.birch.CFEntry
CFEntry(double[]) - Constructor for class org.streaminer.stream.clustering.birch.CFEntry
CFEntry(double[], int) - Constructor for class org.streaminer.stream.clustering.birch.CFEntry
CFEntry(CFEntry) - Constructor for class org.streaminer.stream.clustering.birch.CFEntry: This makes a deep copy of the CFEntry e.
CFEntryPair - Class in org.streaminer.stream.clustering.birch
CFEntryPair() - Constructor for class org.streaminer.stream.clustering.birch.CFEntryPair
CFEntryPair(CFEntry, CFEntry) - Constructor for class org.streaminer.stream.clustering.birch.CFEntryPair
CFNode - Class in org.streaminer.stream.clustering.birch
CFNode(int, double, int, boolean, boolean) - Constructor for class org.streaminer.stream.clustering.birch.CFNode
CFTree - Class in org.streaminer.stream.clustering.birch: This is an implementation of the BIRCH clustering algorithm described in: T.
CFTree(int, double, int, boolean) - Constructor for class org.streaminer.stream.clustering.birch.CFTree
checkArgument(boolean) - Static method in class org.streaminer.util.Preconditions
checkArgument(boolean, String, Object...) - Static method in class org.streaminer.util.Preconditions
checkBalance() - Method in class org.streaminer.stream.quantile.GroupTree
checkSplitpoints(LeafNode, Data) - Method in class org.streaminer.stream.classifier.tree.RegressionTree
checkState(boolean, String) - Static method in class org.streaminer.util.Preconditions
checkState(boolean) - Static method in class org.streaminer.util.Preconditions
checkState(boolean, String, Object...) - Static method in class org.streaminer.util.Preconditions
chernoffBound(ChernoffStatistics) - Method in class org.streaminer.stream.classifier.tree.ChernoffSplitCriterion
ChernoffSplitCriterion<S extends ChernoffStatistics> - Class in org.streaminer.stream.classifier.tree: This class implements a split criterion based on the Chernoff bound.
ChernoffSplitCriterion() - Constructor for class org.streaminer.stream.classifier.tree.ChernoffSplitCriterion
ChernoffStatistics - Interface in org.streaminer.stream.classifier.tree: This interface defines the statistical measures required to determine the chernoff bound on a node.
CKMSQuantiles - Class in org.streaminer.stream.quantile: Implementation of the Cormode, Korn, Muthukrishnan, and Srivastava algorithm for streaming calculation of targeted high-percentile epsilon-approximate quantiles.
CKMSQuantiles(CKMSQuantiles.Quantile[]) - Constructor for class org.streaminer.stream.quantile.CKMSQuantiles
CKMSQuantiles.Quantile - Class in org.streaminer.stream.quantile
CKMSQuantiles.Quantile(double, double) - Constructor for class org.streaminer.stream.quantile.CKMSQuantiles.Quantile
Classifier<D,T> - Interface in org.streaminer.stream.classifier: A classifier is basically just a PredictionModel and the associated learning algorithm.
clear() - Method in interface org.streaminer.stream.avg.IAverage: Reset the data structure.
clear() - Method in class org.streaminer.stream.avg.MovingAverage
clear() - Method in class org.streaminer.stream.avg.SimpleEWMA
clear() - Method in class org.streaminer.stream.avg.VariableEWMA
clear() - Method in class org.streaminer.stream.membership.BloomFilter
clear() - Method in class org.streaminer.stream.quantile.MPQuantiles
clone() - Method in class org.streaminer.stream.frequency.util.CountEntry
clone() - Method in class org.streaminer.stream.frequency.util.CountEntryWithMaxError
clone() - Method in class org.streaminer.stream.histogram.spdt.ArrayCategoricalTarget
clone() - Method in class org.streaminer.stream.histogram.spdt.GroupTarget
clone() - Method in class org.streaminer.stream.histogram.spdt.MapCategoricalTarget
clone() - Method in class org.streaminer.stream.histogram.spdt.NumericTarget
clone() - Method in class org.streaminer.stream.histogram.spdt.SimpleTarget
clone() - Method in class org.streaminer.stream.histogram.spdt.Target
combine(Bin<T>) - Method in class org.streaminer.stream.histogram.spdt.Bin
compare(byte[], byte[]) - Method in class org.streaminer.util.UnsignedIntComparator
compareTo(AMSSketch) - Method in class org.streaminer.stream.frequency.AMSSketch
compareTo(CountEntry) - Method in class org.streaminer.stream.frequency.util.CountEntry
compareTo(ScoredItem<T>) - Method in class org.streaminer.stream.frequency.util.ScoredItem
compareTo(Bin) - Method in class org.streaminer.stream.histogram.spdt.Bin
compareTo(Gap) - Method in class org.streaminer.stream.histogram.spdt.Gap
compareTo(TDigest.Group) - Method in class org.streaminer.stream.quantile.TDigest.Group
compress() - Method in class org.streaminer.stream.quantile.TDigest
compression() - Method in class org.streaminer.stream.quantile.TDigest
computeActualSize() - Method in class org.streaminer.stream.quantile.QDigest
computeBestK(int) - Static method in class org.streaminer.stream.membership.BloomCalculations: Given the number of buckets that can be used per element, return the optimal number of hash functions in order to minimize the false positive rate.
computeBucketsAndK(double) - Static method in class org.streaminer.stream.membership.BloomCalculations: Given a maximum tolerable false positive probability, compute a Bloom specification which will give less than the specified false positive rate, but minimize the number of buckets per element and the number of hash functions used.
computeChernoffBound(LeafNode, Data) - Method in class org.streaminer.stream.classifier.tree.RegressionTree
computeCount() - Method in class org.streaminer.stream.cardinality.LinearCounting
computeNewThreshold(CFNode, int, double) - Method in class org.streaminer.stream.clustering.birch.CFTree: Computes a new threshold based on the average distance of the closest subclusters in each leaf node
computeNext() - Method in class org.streaminer.util.AbstractIterator
computeSDRs(BTreeNode, double) - Method in class org.streaminer.stream.classifier.tree.RegressionTree
computeSumLambdaSquared() - Method in class org.streaminer.stream.clustering.birch.CFTree: Computes an estimate of the cost of running an O(n^2) algorithm to split each subcluster in more fine-grained clusters
ConcurrentStreamSummary<T> - Class in org.streaminer.stream.frequency.topk: Based on the Space-Saving algorithm and the Stream-Summary data structure as described in: Efficient Computation of Frequent and Top-k Elements in Data Streams by Metwally, Agrawal, and Abbadi Ideally used in multithreaded applications, otherwise see StreamSummary
ConcurrentStreamSummary(int) - Constructor for class org.streaminer.stream.frequency.topk.ConcurrentStreamSummary
ConfusionMatrix<T> - Class in org.streaminer.stream.eval: This is a data structure for dealing with label-pair-relations.
ConfusionMatrix() - Constructor for class org.streaminer.stream.eval.ConfusionMatrix: Creates a new ConfusionMatrix instance with an empty list of labels.
ConfusionMatrix(List<T>) - Constructor for class org.streaminer.stream.eval.ConfusionMatrix: Creates a new ConfusionMatrix instance.
constructFeatureValuePairs(Collection<Data>, Map<String, Class<?>>, Double...) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree: Method for convenient initialization.
Extracts all values from all nominal features and estimates threshold values for numeric features.
Returns all (discretized) possible values for each feature.
contains(T) - Method in class org.streaminer.stream.frequency.CountSketch
contains(T) - Method in interface org.streaminer.stream.frequency.IRichFrequency: Tells whether the data structure contains the given item or not.
contains(T) - Method in class org.streaminer.stream.frequency.LossyCounting
contains(Boolean) - Method in class org.streaminer.stream.frequency.Majority
contains(T) - Method in class org.streaminer.stream.frequency.MisraGries
contains(T) - Method in class org.streaminer.stream.frequency.RealCounting
contains(T) - Method in class org.streaminer.stream.frequency.SimpleTopKCounting
contains(T) - Method in class org.streaminer.stream.frequency.SpaceSaving
contains(T) - Method in class org.streaminer.stream.frequency.StickySampling
contains(double) - Method in class org.streaminer.stream.quantile.rss.Interval: This method checks if the element falls in between the ranges of the interval
COSINE_DISTANCE - Static variable in class org.streaminer.stream.quantile.EnsembleQuantiles
CosineDistance - Class in org.streaminer.util.distance
CosineDistance() - Constructor for class org.streaminer.util.distance.CosineDistance
count - Variable in class org.streaminer.stream.avg.VariableEWMA: The number of samples added to this instance.
count - Variable in class org.streaminer.stream.cardinality.LinearCounting: Number of bits left unset in the map
count - Variable in class org.streaminer.stream.cardinality.RegisterSet
count() - Method in interface org.streaminer.stream.frequency.util.ISampleSet
count() - Method in class org.streaminer.stream.frequency.util.SampleSet
count() - Method in class org.streaminer.stream.quantile.TDigest.Group
countChildrenNodes() - Method in class org.streaminer.stream.clustering.birch.CFNode
countEntries() - Method in class org.streaminer.stream.clustering.birch.CFTree: Counts the number of CFEntries in the tree
countEntriesInChildrenNodes() - Method in class org.streaminer.stream.clustering.birch.CFNode
CountEntry<T> - Class in org.streaminer.stream.frequency.util: Standard data structure for a single item in the context of a counting algorithm.
CountEntry(T, long) - Constructor for class org.streaminer.stream.frequency.util.CountEntry: Constructs a new instance of CountEntry.
CountEntry(T) - Constructor for class org.streaminer.stream.frequency.util.CountEntry: Constructs a new instance of CountEntry.
CountEntryWithMaxError<T> - Class in org.streaminer.stream.frequency.util: CountEntry, extended with a field maxError.
CountEntryWithMaxError(T, long, long) - Constructor for class org.streaminer.stream.frequency.util.CountEntryWithMaxError
counter - Variable in class org.streaminer.stream.cardinality.CountThenEstimate: Cardinality counter Null after tipping point is reached
Counter<T> - Class in org.streaminer.stream.frequency.util
Counter() - Constructor for class org.streaminer.stream.frequency.util.Counter
Counter(ListNode2<StreamSummary<T>.Bucket>, T) - Constructor for class org.streaminer.stream.frequency.util.Counter
counterList - Variable in class org.streaminer.stream.frequency.topk.StreamSummary.Bucket
countLeafEntries() - Method in class org.streaminer.stream.clustering.birch.CFTree: Counts the number of leaf entries (i.e., the number of sub-clusters in the tree)
CountMinSketch<T> - Class in org.streaminer.stream.frequency: Learner-part of the implementation of the CountMinSketch algorithm from the paper 'An improved data stream summary: the count-min sketch and its applications' written by 'Cormode, G.
CountMinSketch(int, int, int, int) - Constructor for class org.streaminer.stream.frequency.CountMinSketch: Constructor of the CountMinSketch algorithm.
CountMinSketchAlt - Class in org.streaminer.stream.frequency: Count-Min Sketch datastructure.
CountMinSketchAlt(int, int, int) - Constructor for class org.streaminer.stream.frequency.CountMinSketchAlt
CountMinSketchAlt(double, double, int) - Constructor for class org.streaminer.stream.frequency.CountMinSketchAlt
CountMinSketchAlt.CMSMergeException - Exception in org.streaminer.stream.frequency
CountMinSketchAlt.CMSMergeException(String) - Constructor for exception org.streaminer.stream.frequency.CountMinSketchAlt.CMSMergeException
countNodes() - Method in class org.streaminer.stream.clustering.birch.CFTree: Counts the nodes of the tree (including leaves)
CountSketch<T> - Class in org.streaminer.stream.frequency: Implementation of the CountSketch algorithm from the paper 'Finding frequent items in data streams' written by 'Charikar, M., Chen, K., and Farach-colton, M.
CountSketch(int, int, int, int) - Constructor for class org.streaminer.stream.frequency.CountSketch: Constructor of the CountSketch algorithm.
CountThenEstimate - Class in org.streaminer.stream.cardinality: Exact -> Estimator cardinality counting
CountThenEstimate() - Constructor for class org.streaminer.stream.cardinality.CountThenEstimate: Default constructor Exact counts up to 1000, estimation done with default Builder
CountThenEstimate(int, IBuilder<ICardinality>) - Constructor for class org.streaminer.stream.cardinality.CountThenEstimate
CountThenEstimate(byte[]) - Constructor for class org.streaminer.stream.cardinality.CountThenEstimate: Deserialization constructor
CountThenEstimate.CountThenEstimateMergeException - Exception in org.streaminer.stream.cardinality
CountThenEstimate.CountThenEstimateMergeException(String) - Constructor for exception org.streaminer.stream.cardinality.CountThenEstimate.CountThenEstimateMergeException
create(X, Y) - Static method in class org.streaminer.util.Pair
createBayesLearner(String) - Method in class org.streaminer.stream.classifier.bayes.MultiBayes: This method is used to create a new NaiveBayes learner instance for the given attribute.
createBayesLearner(String) - Method in class org.streaminer.stream.classifier.bayes.MultiLossyBayes
createBayesLearner(String) - Method in class org.streaminer.stream.classifier.bayes.MultiTopkBayes
createNominalDistribution() - Method in class org.streaminer.stream.classifier.bayes.LossyBayes
createNominalDistribution() - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes: This method creates a new distribution model for nominal values.
createNominalDistribution() - Method in class org.streaminer.stream.classifier.bayes.NaiveBayesWOP: This method creates a new distribution model for nominal values.
createNominalDistribution() - Method in class org.streaminer.stream.classifier.bayes.StickySamplingBayes
createNominalDistribution() - Method in class org.streaminer.stream.classifier.bayes.TopKBayes
createNumericalDistribution() - Method in class org.streaminer.stream.classifier.bayes.LossyBayes
createNumericalDistribution() - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes: This method creates a new distribution model for numerical data.
createNumericalDistribution() - Method in class org.streaminer.stream.classifier.bayes.NaiveBayesWOP: This method creates a new distribution model for numerical data.
createNumericalDistribution() - Method in class org.streaminer.stream.classifier.bayes.StickySamplingBayes
createWeighted(double, int, Iterable<? extends Double>) - Static method in class org.streaminer.stream.quantile.TDigest.Group

D

D0_DIST - Static variable in class org.streaminer.stream.clustering.birch.CFTree: Centroid Distance D0
D1_DIST - Static variable in class org.streaminer.stream.clustering.birch.CFTree: Centroid distance D1
D2_DIST - Static variable in class org.streaminer.stream.clustering.birch.CFTree: Cluster Distance D2
D3_DIST - Static variable in class org.streaminer.stream.clustering.birch.CFTree: Cluster Distance D3
D4_DIST - Static variable in class org.streaminer.stream.clustering.birch.CFTree: Cluster Distance D4
Data - Interface in org.streaminer.stream.data: This interface defines a single data item.
data - Variable in class org.streaminer.stream.frequency.CountSketch: Data structure to estimate the frequency.
data() - Method in class org.streaminer.stream.quantile.TDigest.Group
DataImpl - Class in org.streaminer.stream.data: This class is the default implementation of the Data item.
DataImpl() - Constructor for class org.streaminer.stream.data.DataImpl
DataImpl(Map<String, Serializable>) - Constructor for class org.streaminer.stream.data.DataImpl
DataInputBuffer - Class in org.streaminer.stream.membership: An implementation of the DataInputStream interface.
DataInputBuffer() - Constructor for class org.streaminer.stream.membership.DataInputBuffer: Constructs a new empty buffer.
DataOutputBuffer - Class in org.streaminer.stream.membership: An implementation of the DataOutputStream interface.
DataOutputBuffer() - Constructor for class org.streaminer.stream.membership.DataOutputBuffer: Constructs a new empty buffer.
DataUtils - Class in org.streaminer.stream.data: This class provides some static convenience methods for accessing data items.
DataUtils() - Constructor for class org.streaminer.stream.data.DataUtils
DECAY - Static variable in class org.streaminer.stream.avg.SimpleEWMA: The formula for computing the decay factor from the average age comes from "Production and Operations Analysis" by Steven Nahmias.
decay - Variable in class org.streaminer.stream.avg.VariableEWMA: The multiplier factor by which the previous samples decay.
decode(ByteBuffer) - Static method in class org.streaminer.stream.quantile.TDigest
deepSizeOf(Object) - Static method in class org.streaminer.util.SizeOf: Compute an implementation-specific approximation of the amount of storage consumed by objectToSize and by all the objects reachable from it
DEFAULT_DECLARE_NUMERIC - Static variable in class org.streaminer.stream.classifier.tree.HoeffdingTree: The default number of different values existing for one feature to declare the feature FeatureType#NUMERIC: 5
DEFAULT_DELTA - Static variable in class org.streaminer.stream.classifier.tree.HoeffdingTree: The default value for delta.
DEFAULT_FORMAT_STRING - Static variable in class org.streaminer.stream.histogram.spdt.Histogram
DEFAULT_QUALITY_CRITERION - Static variable in class org.streaminer.stream.classifier.tree.HoeffdingTree: defines the default quality criterion: information gain
DEFAULT_QUANTILES - Static variable in class org.streaminer.stream.classifier.tree.HoeffdingTree: The default quantiles for finding thresholds for numeric features: 0.25, 0.5, 0.75, 1
defaultMinSupport - Variable in class org.streaminer.stream.frequency.BaseFrequency
demote(SampleSet<T>.Node<T>) - Method in class org.streaminer.stream.frequency.util.SampleSet
density(double) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns the density estimate at point p.
describe() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTreeModel: Returns a string representation of the current tree
describe() - Method in interface org.streaminer.stream.model.DescriptionModel: This method returns a description of the data.
describe(Serializable) - Method in class org.streaminer.stream.model.NominalDistributionModel
describe(Double) - Method in class org.streaminer.stream.model.NumericalDistributionModel
describe(T) - Method in interface org.streaminer.stream.model.SelectiveDescriptionModel: This method returns a description for the given input.
DescriptionModel<R> - Interface in org.streaminer.stream.model: An output extension to the model interface which returns a a description of the data.
deserialize(byte[]) - Static method in class org.streaminer.stream.frequency.CountMinSketchAlt
deserialize(DataInputStream) - Static method in class org.streaminer.stream.membership.BitSetSerializer
deserialize(byte[]) - Static method in class org.streaminer.stream.membership.BloomFilter
deserialize(DataInputStream) - Method in interface org.streaminer.stream.membership.ICompactSerializer: Deserialize into the specified DataInputStream instance.
deserialize(byte[]) - Static method in class org.streaminer.stream.quantile.QDigest
detectLabelAttribute(Data) - Static method in class org.streaminer.stream.learner.LearnerUtils
detectNumericFeatures(Map<String, Object>) - Method in class org.streaminer.stream.mapper.AddMax
detectNumericFeatures(Map<String, Object>) - Method in class org.streaminer.stream.mapper.AddMinMax
distance(CFEntry, int) - Method in class org.streaminer.stream.clustering.birch.CFEntry
distanceBetween(T, T) - Static method in class org.streaminer.util.distance.CosineDistance
distanceBetween(T, T) - Static method in class org.streaminer.util.distance.LinearDistance: The amount distance between two vectors can be computed using this method.
distanceBetween(T, T) - Static method in class org.streaminer.util.distance.SquaredDistance: The squared distance between two vectors can be computed using this method.
Distribution<T extends Serializable> - Interface in org.streaminer.stream.model: This is the root interface for all kinds of distributions.
doSplit(LeafNode) - Method in class org.streaminer.stream.classifier.tree.RegressionTree
DoublyLinkedList<T> - Class in org.streaminer.util
DoublyLinkedList() - Constructor for class org.streaminer.util.DoublyLinkedList
DoublyLinkedList.DoublyLinkedListIterator - Class in org.streaminer.util
DoublyLinkedList.DoublyLinkedListIterator(DoublyLinkedList<T>) - Constructor for class org.streaminer.util.DoublyLinkedList.DoublyLinkedListIterator

E

e1 - Variable in class org.streaminer.stream.clustering.birch.CFEntryPair
e2 - Variable in class org.streaminer.stream.clustering.birch.CFEntryPair
ELEMENTS_PER_BUCKET - Static variable in class org.streaminer.stream.quantile.rss.RSSQuantiles
elementsCounted - Variable in class org.streaminer.stream.frequency.CountSketch: Total number of occurences of all elements counted so far.
elementsCounted - Variable in class org.streaminer.stream.frequency.SpaceSaving: The total count of all counted elements in the stream so far.
encode(ByteBuffer, int) - Static method in class org.streaminer.stream.quantile.TDigest
endOfData() - Method in class org.streaminer.util.AbstractIterator
enqueue(T) - Method in class org.streaminer.util.DoublyLinkedList: Prepend to tail of list
EnsembleQuantiles - Class in org.streaminer.stream.quantile: Source code: .
EnsembleQuantiles() - Constructor for class org.streaminer.stream.quantile.EnsembleQuantiles
EnsembleQuantiles(double) - Constructor for class org.streaminer.stream.quantile.EnsembleQuantiles
epsilon - Variable in class org.streaminer.stream.quantile.GKQuantiles: This value specifies the error bound.
epsilon - Variable in class org.streaminer.stream.quantile.WindowSketchQuantiles: This value specifies the error bound.
equals(Object) - Method in class org.streaminer.stream.clustering.birch.CFEntry
equals(Object) - Method in class org.streaminer.stream.clustering.birch.CFEntryPair
equals(Object) - Method in class org.streaminer.stream.histogram.spdt.Bin
equals(Object) - Method in class org.streaminer.stream.histogram.spdt.Gap
equals(Interval) - Method in class org.streaminer.stream.quantile.rss.Interval: Checks if the interval equals another one
equals(int, int) - Method in class org.streaminer.stream.quantile.rss.Interval: Checks if the interval equals the interval created by the handed over bounds
equals(Object) - Method in class org.streaminer.util.Pair
error - Variable in class org.streaminer.stream.quantile.CKMSQuantiles.Quantile
estimateCount(Long) - Method in class org.streaminer.stream.frequency.AMSSketch
estimateCount(Integer, int) - Method in class org.streaminer.stream.frequency.CCFCSketch
estimateCount(Object) - Method in class org.streaminer.stream.frequency.CountMinSketchAlt
estimateCount(T) - Method in class org.streaminer.stream.frequency.CountSketch
estimateCount(T) - Method in interface org.streaminer.stream.frequency.ISimpleFrequency: Estimate the frequency for the given item.
estimateCount(T) - Method in class org.streaminer.stream.frequency.LossyCounting: Returns the estimated frequency of the given element.
estimateCount(Boolean) - Method in class org.streaminer.stream.frequency.Majority
estimateCount(T) - Method in class org.streaminer.stream.frequency.MisraGries
estimateCount(T) - Method in class org.streaminer.stream.frequency.RealCounting
estimateCount(T) - Method in class org.streaminer.stream.frequency.SimpleTopKCounting
estimateCount(T) - Method in class org.streaminer.stream.frequency.SpaceSaving
estimateCount(T) - Method in class org.streaminer.stream.frequency.StickySampling
estimateF2() - Method in class org.streaminer.stream.frequency.AMSSketch
estimateF2() - Method in class org.streaminer.stream.frequency.CCFCSketch
estimateFrequency(T) - Method in class org.streaminer.stream.frequency.CountMinSketch: Estimates the frequency by returning the smallest frequency value for each hasfunction index.
estimateFrequency(T) - Method in class org.streaminer.stream.frequency.CountSketch: Estimates the frequency of the provided item.
estimateIntervall(Interval) - Method in class org.streaminer.stream.quantile.rss.SubsetTree: estimates an interval based on the rss technique
estimateIntervals(LinkedList<Interval>) - Method in class org.streaminer.stream.quantile.rss.Bucket: This method receives a list of intervals, and estimates their element count based on the rss technique.
estimator - Variable in class org.streaminer.stream.cardinality.CountThenEstimate: Cardinality estimator Null until tipping point is reached
EUCLIDEAN_DISTANCE - Static variable in class org.streaminer.stream.quantile.EnsembleQuantiles
ExactQuantiles - Class in org.streaminer.stream.quantile: This is a simple implementation to determine exact quantiles.
ExactQuantiles() - Constructor for class org.streaminer.stream.quantile.ExactQuantiles: Creates a new instance of ExactQuantiles
ExactQuantilesAll<T> - Class in org.streaminer.stream.quantile: This is a simple implementation to determine exact quantiles.
ExactQuantilesAll() - Constructor for class org.streaminer.stream.quantile.ExactQuantilesAll: Creates a new instance of ExactQuantiles
extendedDensity(double) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns a SumResult object which contains the density estimate at the point p along with the density for the targets.
extendedSum(double) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns a SumResult object which contains the approximate number of points less than p along with the sum of their targets.
ExternalizableUtil - Class in org.streaminer.util
ExternalizableUtil() - Constructor for class org.streaminer.util.ExternalizableUtil
ExtractDouble - Class in org.streaminer.stream.mapper: This class implements a mapper that will extract a single real-valued attribute from a stream.
ExtractDouble() - Constructor for class org.streaminer.stream.mapper.ExtractDouble
ExtractDouble(String) - Constructor for class org.streaminer.stream.mapper.ExtractDouble

F

featureValuePairs - Variable in class org.streaminer.stream.classifier.tree.HoeffdingTree: contains all possible features and for each feature all possible values
Filter - Class in org.streaminer.stream.membership
Filter() - Constructor for class org.streaminer.stream.membership.Filter
findClosestEntry(CFEntry) - Method in class org.streaminer.stream.clustering.birch.CFNode
findClosestEntryPair(ArrayList<CFEntry>) - Method in class org.streaminer.stream.clustering.birch.CFNode
findFarthestEntryPair(ArrayList<CFEntry>) - Method in class org.streaminer.stream.clustering.birch.CFNode
findInterval(Double) - Method in class org.streaminer.stream.model.NumericalDistributionModel: Find the interval for the given double value.
finishedInsertingData() - Method in class org.streaminer.stream.clustering.birch.CFTree: Signals the fact that we finished inserting data.
first() - Method in class org.streaminer.stream.histogram.spdt.ArrayBinReservoir
first() - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
first() - Method in class org.streaminer.stream.histogram.spdt.TreeBinReservoir
first() - Method in class org.streaminer.stream.quantile.GroupTree
first() - Method in class org.streaminer.util.DoublyLinkedList
floor(double) - Method in class org.streaminer.stream.histogram.spdt.ArrayBinReservoir
floor(double) - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
floor(double) - Method in class org.streaminer.stream.histogram.spdt.TreeBinReservoir
floor(TDigest.Group) - Method in class org.streaminer.stream.quantile.GroupTree
floorToNext(Float) - Static method in class org.streaminer.util.math.PowerOfTwo: Rounds the given value to the next power of two that is smaller than the value.
floorToNext(double) - Static method in class org.streaminer.util.math.PowerOfTwo: Rounds the given value to the next power of two that is smaller than the value.
fourwise(long, long, long, long, long) - Static method in class org.streaminer.util.hash.HashUtils: returns values that are 4-wise independent by repeated calls to the pairwise indpendent routine.
frequency - Variable in class org.streaminer.stream.frequency.util.CountEntry: The frequency of this CountEntrys item within a counting algorithm.
FrequencyException - Exception in org.streaminer.stream.frequency
FrequencyException() - Constructor for exception org.streaminer.stream.frequency.FrequencyException: Creates a new instance of FrequencyException without detail message.
FrequencyException(String) - Constructor for exception org.streaminer.stream.frequency.FrequencyException: Constructs an instance of FrequencyException with the specified detail message.
Frequent<T> - Class in org.streaminer.stream.frequency.topk: Frequent algorithm.
Frequent(double) - Constructor for class org.streaminer.stream.frequency.topk.Frequent
fromBytes(ByteBuffer) - Static method in class org.streaminer.stream.quantile.TDigest: Reads a histogram from a byte buffer
Frugal2U - Class in org.streaminer.stream.quantile: Implementation of the Frugal2U Algorithm.
Frugal2U(Frugal2U.Quantile[]) - Constructor for class org.streaminer.stream.quantile.Frugal2U
Frugal2U(double[], int) - Constructor for class org.streaminer.stream.quantile.Frugal2U
Frugal2U.Quantile - Class in org.streaminer.stream.quantile
functionClass - Variable in class org.streaminer.stream.frequency.CountSketch: The hash function which will be used.

G

GammaFunction - Interface in org.streaminer.stream.sampling.gamma: The interface is used to determine the number of elements to skip from the reservoir input stream.
Gap<T extends Target> - Class in org.streaminer.stream.histogram.spdt
Gap(Bin<T>, Bin<T>, double) - Constructor for class org.streaminer.stream.histogram.spdt.Gap
Gap(Bin<T>, Bin<T>) - Constructor for class org.streaminer.stream.histogram.spdt.Gap
gapWeight(Bin<T>, Bin<T>) - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
get(int) - Method in class org.streaminer.stream.cardinality.RegisterSet
get(double) - Method in class org.streaminer.stream.histogram.spdt.ArrayBinReservoir
get(double) - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
get(double) - Method in class org.streaminer.stream.histogram.spdt.TreeBinReservoir
get(Integer) - Method in class org.streaminer.stream.model.SlidingWindow: Returns the element at position index
get() - Method in interface org.streaminer.stream.sampling.ISampler
get() - Method in class org.streaminer.stream.sampling.ReservoirSampler
getAll() - Method in class org.streaminer.stream.model.SlidingWindow: Returns a collection containing each element in the window
getAllFeatures(Collection<Data>) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree: Method for convenient initialization.
Returns a set of all features seen at least once in the specified collection of examples.
getAllLifeTimes() - Method in class org.streaminer.stream.model.SlidingWindow: Returns a collection containing all elements' life times.
getAllValues(Collection<Data>, String) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree: Method for convenient initialization.
Returns a list of all values - including duplicates - the specified feature can have in the specified collection of examples.
getAttributes(Data) - Static method in class org.streaminer.stream.learner.LearnerUtils
getAverage() - Method in interface org.streaminer.stream.avg.IAverage
getAverage() - Method in class org.streaminer.stream.avg.MovingAverage
getAverage() - Method in class org.streaminer.stream.avg.SimpleEWMA
getAverage() - Method in class org.streaminer.stream.avg.VariableEWMA
getBestSplitValue(BTreeNode) - Method in class org.streaminer.stream.classifier.tree.RTree
getBias() - Method in class org.streaminer.stream.model.HyperplaneModel
getBins() - Method in class org.streaminer.stream.histogram.spdt.ArrayBinReservoir
getBins() - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
getBins() - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns the collection of bins that form the histogram.
getBins() - Method in class org.streaminer.stream.histogram.spdt.TreeBinReservoir
getBins() - Method in class org.streaminer.stream.mapper.NumericalBinning
getBits(int) - Static method in class org.streaminer.stream.cardinality.RegisterSet
getBits(byte[]) - Static method in class org.streaminer.util.Bits
getBlockSize() - Method in class org.streaminer.stream.quantile.WindowSketchQuantiles.Block
getBTrees() - Method in class org.streaminer.stream.classifier.tree.LeafNode
getBucketNode() - Method in class org.streaminer.stream.frequency.util.Counter
getBytes() - Method in class org.streaminer.stream.cardinality.CountThenEstimate
getBytes() - Method in class org.streaminer.stream.cardinality.HyperLogLog
getBytes() - Method in class org.streaminer.stream.cardinality.HyperLogLogPlus
getBytes() - Method in interface org.streaminer.stream.cardinality.ICardinality
getBytes() - Method in class org.streaminer.stream.cardinality.LinearCounting
getBytes() - Method in class org.streaminer.stream.cardinality.LogLog
getByteSize() - Method in class org.streaminer.stream.data.DataImpl
getCapacity() - Method in class org.streaminer.stream.frequency.topk.StreamSummary
getchild(Serializable, Class<?>) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTreeNode: Returns the node following the branch induced by the specified value.
getChild() - Method in class org.streaminer.stream.clustering.birch.CFEntry
getChildFor(Double) - Method in class org.streaminer.stream.classifier.tree.ModelTree: This method checks all siblings of the current node and returns the successor that matches the given value.
getChildFor(String) - Method in class org.streaminer.stream.classifier.tree.ModelTree: This method returns the child for the given nominal value.
getChildren() - Method in class org.streaminer.stream.classifier.tree.TreeNode
getChildSize() - Method in class org.streaminer.stream.clustering.birch.CFEntry
getChunkSize() - Method in class org.streaminer.stream.quantile.EnsembleQuantiles: Returns current chunk size.
getClassDistribution() - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes: Returns the class distribution of the current state of the algorithm.
getClassDistribution() - Method in class org.streaminer.stream.classifier.bayes.NaiveBayesWOP: Returns the class distribution of the current state of the algorithm.
getConfidence() - Method in class org.streaminer.stream.frequency.CountMinSketchAlt
getConfidenceGap() - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes
getCount() - Method in class org.streaminer.stream.cardinality.LinearCounting
getCount() - Method in class org.streaminer.stream.frequency.util.Counter
getCount() - Method in class org.streaminer.stream.frequency.util.ScoredItem
getCount() - Method in class org.streaminer.stream.histogram.spdt.Bin
getCount() - Method in class org.streaminer.stream.histogram.spdt.SumResult
getCount() - Method in interface org.streaminer.stream.model.Distribution: Returns the total number of all observations incorporated into this model.
getCount(T) - Method in interface org.streaminer.stream.model.Distribution: Returns the number of observations that equal the given value.
getCount() - Method in class org.streaminer.stream.model.NominalDistributionModel
getCount(T) - Method in class org.streaminer.stream.model.NominalDistributionModel
getCount() - Method in class org.streaminer.stream.model.NumericalDistributionModel
getCount(Double) - Method in class org.streaminer.stream.model.NumericalDistributionModel
getCount() - Method in class org.streaminer.stream.model.StreamDistribution
getCount(T) - Method in class org.streaminer.stream.model.StreamDistribution
getCount() - Method in class org.streaminer.stream.quantile.GKQuantiles
getCounts() - Method in class org.streaminer.stream.histogram.spdt.ArrayCategoricalTarget
getCounts() - Method in interface org.streaminer.stream.histogram.spdt.CategoricalTarget
getCounts() - Method in class org.streaminer.stream.histogram.spdt.MapCategoricalTarget
getData() - Method in class org.streaminer.stream.membership.DataOutputBuffer: Returns the current contents of the buffer.
getDefaultMinSupport() - Method in class org.streaminer.stream.frequency.BaseFrequency
getDelta() - Method in class org.streaminer.stream.classifier.tree.ChernoffSplitCriterion
getDistance(double[], double[]) - Method in class org.streaminer.util.distance.Kernel
getDistance(Map<String, Double>, Map<String, Double>) - Method in class org.streaminer.util.distance.Kernel
getDistFunction() - Method in class org.streaminer.stream.clustering.birch.CFNode
getDistThreshold() - Method in class org.streaminer.stream.clustering.birch.CFNode
getDouble(String, Data) - Static method in class org.streaminer.stream.learner.LearnerUtils
getElementCount() - Method in class org.streaminer.stream.quantile.rss.Bucket
getElements() - Method in interface org.streaminer.stream.model.Distribution
getElements() - Method in class org.streaminer.stream.model.NominalDistributionModel
getElements() - Method in class org.streaminer.stream.model.NumericalDistributionModel
getElements() - Method in class org.streaminer.stream.model.StreamDistribution
getElementsPerBucket() - Method in class org.streaminer.stream.quantile.rss.RSSQuantiles
getEndBin() - Method in class org.streaminer.stream.histogram.spdt.Gap
getEnsembleSize() - Method in class org.streaminer.stream.quantile.EnsembleQuantiles: Returns the number of chunks that are managed in a ensemble
getEntries() - Method in class org.streaminer.stream.clustering.birch.CFNode
getEpsilon() - Method in class org.streaminer.stream.classifier.bayes.LossyBayes
getEpsilon() - Method in class org.streaminer.stream.classifier.bayes.MultiLossyBayes
getEpsilon() - Method in interface org.streaminer.stream.classifier.tree.ChernoffStatistics
getEpsilon() - Method in class org.streaminer.stream.classifier.tree.RegressionTreeStatistics
getEpsilon() - Method in class org.streaminer.stream.quantile.WindowSketchQuantiles.Block
getEpsilon() - Method in class org.streaminer.stream.quantile.WindowSketchQuantiles.Quantiles
getError() - Method in class org.streaminer.stream.classifier.bayes.StickySamplingBayes
getError() - Method in class org.streaminer.stream.frequency.util.Counter
getError() - Method in class org.streaminer.stream.frequency.util.ScoredItem
getExampleCount() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree.NodeData: Returns the number of the so far seen examples
getExclude() - Method in class org.streaminer.stream.mapper.AttributeFilter
getFalsePositiveProbability(int, int) - Static method in class org.streaminer.stream.membership.BloomCalculations: Calculate the probability of a false positive given the specified number of inserted elements.
getFarestVector(List<T>, T) - Static method in class org.streaminer.util.distance.CosineDistance
getFarestVector(List<T>, T) - Static method in class org.streaminer.util.distance.LinearDistance: Given a comparator and a list of vectors this method determines which vector has the greatest distance to the comparator.
getFarestVector(List<T>, T) - Static method in class org.streaminer.util.distance.SquaredDistance: Given a comparator and a list of vectors this method determines which vector has the greatest distance to the comparator.
getFeature() - Method in class org.streaminer.stream.classifier.tree.BTreeNode
getFeature() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTreeNode: Returns the feature on which this node tests.
getFeature() - Method in class org.streaminer.stream.classifier.tree.InnerNode
getFreezeThreshold() - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
getFreezeThreshold() - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns the freeze threshold.
getFrequency() - Method in class org.streaminer.stream.frequency.util.CountEntry
getFrequentItems() - Method in class org.streaminer.stream.frequency.BaseFrequency
getFrequentItems(double) - Method in class org.streaminer.stream.frequency.CountSketch
getFrequentItems() - Method in interface org.streaminer.stream.frequency.IRichFrequency
getFrequentItems(double) - Method in interface org.streaminer.stream.frequency.IRichFrequency
getFrequentItems(double) - Method in class org.streaminer.stream.frequency.LossyCounting
getFrequentItems(double) - Method in class org.streaminer.stream.frequency.Majority
getFrequentItems(double) - Method in class org.streaminer.stream.frequency.MisraGries
getFrequentItems(double) - Method in class org.streaminer.stream.frequency.RealCounting
getFrequentItems(double) - Method in class org.streaminer.stream.frequency.SimpleTopKCounting
getFrequentItems(double) - Method in class org.streaminer.stream.frequency.SpaceSaving
getFrequentItems(double) - Method in class org.streaminer.stream.frequency.StickySampling
getFullQuantiles() - Method in class org.streaminer.stream.quantile.MPQuantiles
getGroupTarget() - Method in class org.streaminer.stream.histogram.spdt.GroupTarget
getGroupTypes() - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns the target types for a group histogram
getGuaranteed() - Method in class org.streaminer.stream.frequency.SpaceSaving: Shows if the frequent Items are still in the guaranteed bounds of the algorithm.
getHashBuckets(String) - Method in class org.streaminer.stream.membership.Filter
getHashBuckets(byte[]) - Method in class org.streaminer.stream.membership.Filter
getHashBuckets(String, int, int) - Static method in class org.streaminer.stream.membership.Filter
getHashCount() - Method in class org.streaminer.stream.membership.Filter
getHighestGain(int) - Method in class org.streaminer.stream.classifier.tree.QualityCriterion.EntropyCriterion: Returns the upper bound of gain for this quality criterion depending on the number of possible classes
getHighestGain(int) - Method in interface org.streaminer.stream.classifier.tree.QualityCriterion: Returns the upper bound of gain for this quality criterion depending on the number of possible classes
getHighestGain(int) - Method in class org.streaminer.stream.classifier.tree.QualityCriterion.GiniCriterion: Returns the upper bound of gain for this quality criterion depending on the number of possible classes
getHistogram() - Method in interface org.streaminer.stream.model.Distribution: Returns a histogram of this distribution.
getHistogram() - Method in class org.streaminer.stream.model.NominalDistributionModel
getHistogram() - Method in class org.streaminer.stream.model.NumericalDistributionModel
getHistogram() - Method in class org.streaminer.stream.model.StreamDistribution
getInclude() - Method in class org.streaminer.stream.mapper.AttributeFilter
getInclude() - Method in class org.streaminer.stream.mapper.NumericalBinning
getIndexList() - Method in class org.streaminer.stream.clustering.birch.CFEntry
getIntercalWidth() - Method in class org.streaminer.stream.quantile.rss.Subset
getInterval() - Method in class org.streaminer.stream.model.NumericalDistributionModel
getItem() - Method in class org.streaminer.stream.frequency.util.CountEntry
getItem() - Method in class org.streaminer.stream.frequency.util.Counter
getItem() - Method in class org.streaminer.stream.frequency.util.ScoredItem
getK() - Method in class org.streaminer.stream.classifier.bayes.MultiTopkBayes
getK() - Method in class org.streaminer.stream.classifier.bayes.TopKBayes
getKeys(Data) - Static method in class org.streaminer.stream.data.DataUtils: Returns the list of non-special, non-hidden keys of the given data item.
getLabel() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTreeNode: Returns the label of this node.
getLabel(Data) - Static method in class org.streaminer.stream.learner.LearnerUtils
getLabelAttribute() - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes
getLabelAttribute() - Method in class org.streaminer.stream.classifier.bayes.NaiveBayesWOP
getLabelAttribute() - Method in class org.streaminer.stream.classifier.MajorityClass
getLabelAttribute() - Method in class org.streaminer.stream.classifier.Perceptron
getLabelAttribute() - Method in class org.streaminer.stream.classifier.RandomClassifier
getLabelAttribute() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree
getLabelAttributes() - Method in class org.streaminer.stream.classifier.AbstractMultiClassifier
getLabelAttributes() - Method in class org.streaminer.stream.classifier.MultiRandomClassifier
getLabelAttributes(Data) - Static method in class org.streaminer.stream.learner.LearnerUtils
getLabels() - Method in class org.streaminer.stream.eval.ConfusionMatrix: Returns the list of labels this ConfusionMatrix maintains counters for.
getLaplaceCorrection() - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes
getLaplaceCorrection() - Method in class org.streaminer.stream.classifier.bayes.NaiveBayesWOP
getLeaf(Data) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTreeModel: Returns the leaf at which the path through the tree ends for the specified Example.
getLeaf(Data) - Method in class org.streaminer.stream.classifier.tree.ModelTree: This method traverses the tree by testing the given data item at each inner node until reaching a leaf.
getLeaf(Data) - Method in class org.streaminer.stream.classifier.tree.RegressionTreeModel: Returns the leaf at which the path through the tree ends for the specified Example.
getLeafListStart() - Method in class org.streaminer.stream.clustering.birch.CFTree: Gets the start of the list of leaf nodes (remember: the first node is a dummy node)
getLearnRate() - Method in class org.streaminer.stream.classifier.Perceptron
getLeft() - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode
getLeftChild() - Method in class org.streaminer.stream.classifier.tree.InnerNode
getLength() - Method in class org.streaminer.stream.membership.DataInputBuffer: Returns the length of the input.
getLength() - Method in class org.streaminer.stream.membership.DataOutputBuffer: Returns the length of the valid data currently in the buffer.
getLifeTime(Integer) - Method in class org.streaminer.stream.model.SlidingWindow: Returns the remaining life time of the specified element.
getLimit() - Method in class org.streaminer.stream.classifier.bayes.BoundedBayes
getLowerBound() - Method in class org.streaminer.stream.quantile.rss.Interval
getLowerStatistics() - Method in class org.streaminer.stream.classifier.tree.BTreeNode
getLowestGain() - Method in class org.streaminer.stream.classifier.tree.QualityCriterion.EntropyCriterion: Returns the lower bound of gain for this quality criterion
getLowestGain() - Method in interface org.streaminer.stream.classifier.tree.QualityCriterion: Returns the lower bound of gain for this quality criterion
getLowestGain() - Method in class org.streaminer.stream.classifier.tree.QualityCriterion.GiniCriterion: Returns the lower bound of gain for this quality criterion
getMajorityClass() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree.NodeData: Returns the label of the most frequent class from all so far seen examples in the corresponding node.
getMajorityClass(String, Serializable) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree.NodeData: Returns the label of the most frequent class from the so far seen examples in the corresponding node where the specified feature had the specified value.
getMaxBins() - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
getMaxBins() - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns the maximum number of allowed bins.
getMaxBucketCount() - Method in class org.streaminer.stream.quantile.rss.RSSQuantiles
getMaximum() - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns the maximum value inserted into the histogram.
getMaximum() - Method in class org.streaminer.stream.mapper.Normalization
getMaximum() - Method in class org.streaminer.stream.mapper.NumericalBinning
getMaximumKey(Map<String, Double>) - Static method in class org.streaminer.stream.learner.LearnerUtils
getMaxNodeEntries() - Method in class org.streaminer.stream.clustering.birch.CFNode
getMean() - Method in interface org.streaminer.stream.classifier.tree.ChernoffStatistics: The measured mean as obtained from the observed examples.
getMean() - Method in class org.streaminer.stream.classifier.tree.RegressionTreeStatistics
getMean() - Method in class org.streaminer.stream.histogram.spdt.Bin
getMemoryLimit() - Method in class org.streaminer.stream.clustering.birch.CFTree
getMinimum() - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns the minimum value inserted into the histogram.
getMinimum() - Method in class org.streaminer.stream.mapper.Normalization
getMinimum() - Method in class org.streaminer.stream.mapper.NumericalBinning
getMissingCount() - Method in class org.streaminer.stream.histogram.spdt.ArrayCategoricalTarget
getMissingCount() - Method in class org.streaminer.stream.histogram.spdt.GroupTarget
getMissingCount() - Method in class org.streaminer.stream.histogram.spdt.Histogram
getMissingCount() - Method in class org.streaminer.stream.histogram.spdt.MapCategoricalTarget
getMissingCount() - Method in class org.streaminer.stream.histogram.spdt.NumericTarget
getMissingCount() - Method in class org.streaminer.stream.histogram.spdt.SimpleTarget
getMissingCount() - Method in class org.streaminer.stream.histogram.spdt.Target
getMissingTarget() - Method in class org.streaminer.stream.histogram.spdt.Histogram
getModel() - Method in class org.streaminer.stream.classifier.AbstractClassifier
getModel() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree: Returns the so far learned tree.
getModel() - Method in class org.streaminer.stream.classifier.tree.ModelTree
getModel() - Method in class org.streaminer.stream.classifier.tree.RegressionTree
getModel() - Method in class org.streaminer.stream.learner.AbstractRegressor
getModel() - Method in interface org.streaminer.stream.learner.Learner: Returns the result of the training process.
getN() - Method in class org.streaminer.stream.classifier.tree.LeafNode
getName() - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode
getName() - Method in class org.streaminer.stream.classifier.tree.TreeNode
getNearestVector(List<T>, T) - Static method in class org.streaminer.util.distance.CosineDistance
getNearestVector(List<T>, T) - Static method in class org.streaminer.util.distance.LinearDistance: Given a comparator and a list of vectors this method determines which vector is closest to the comparator.
getNearestVector(List<T>, T) - Static method in class org.streaminer.util.distance.SquaredDistance: Given a comparator and a list of vectors this method determines which vector is closest to the comparator.
getNew() - Method in class org.streaminer.stream.mapper.KeyMapper
getNewestElement() - Method in class org.streaminer.stream.model.SlidingWindow: Returns the newest element in the window.
getNext() - Method in class org.streaminer.util.ListNode2
getNextLeaf() - Method in class org.streaminer.stream.clustering.birch.CFNode
getNodeInfo() - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode: Returns the node information associated with this node.
getNodeInfo() - Method in class org.streaminer.stream.classifier.tree.BTreeNode: This method simply ensures that each node delivers a non-null node information object.
getNodeInfo() - Method in class org.streaminer.stream.classifier.tree.TreeNode: Returns the node information associated with this node.
getNominalCondition(String, Data) - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes
getNominalCondition(String, Data) - Method in class org.streaminer.stream.classifier.bayes.NaiveBayesWOP
getNumberOfExamples() - Method in interface org.streaminer.stream.classifier.tree.ChernoffStatistics: The number n of example, observed.
getNumberOfExamples() - Method in class org.streaminer.stream.classifier.tree.RegressionTreeStatistics
getNumericalDistributions() - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes: Returns the set of numerical distributions of this model.
getNumericalDistributions() - Method in class org.streaminer.stream.classifier.bayes.NaiveBayesWOP: Returns the set of numerical distributions of this model.
getNumericAttributes(Data) - Static method in class org.streaminer.stream.learner.LearnerUtils
getNumericThresholds(Collection<Serializable>, Double...) - Static method in class org.streaminer.stream.classifier.tree.HoeffdingTree: Method for convenient initialization.
Returns a list of thresholds for testing values of the specified domain.
All seen values - including duplicate values - should be specified.
Quantiles must reside in interval [0,1].
getNumericVector(Data) - Static method in class org.streaminer.stream.learner.LearnerUtils
getOld() - Method in class org.streaminer.stream.mapper.KeyMapper
getOldestElement() - Method in class org.streaminer.stream.model.SlidingWindow: Returns the oldest element in the window.
getPairWithFurthestDistance(List<T>) - Static method in class org.streaminer.util.distance.CosineDistance
getPairWithFurthestDistance(List<T>) - Static method in class org.streaminer.util.distance.LinearDistance: This method returns the pair out of a list of vectors that have the furthest distance.
getPairWithFurthestDistance(List<T>) - Static method in class org.streaminer.util.distance.SquaredDistance: This method returns the pair out of a list of vectors that have the furthest distance.
getPairWithSmallestDistance(List<T>) - Static method in class org.streaminer.util.distance.CosineDistance
getPairWithSmallestDistance(List<T>) - Static method in class org.streaminer.util.distance.LinearDistance: This method returns the pair out of a list of vectors that have the closest distance.
getPairWithSmallestDistance(List<T>) - Static method in class org.streaminer.util.distance.SquaredDistance: This method returns the pair out of a list of vectors that have the closest distance.
getParent() - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode
getParent() - Method in class org.streaminer.stream.classifier.tree.LeafNode
getParent() - Method in class org.streaminer.stream.classifier.tree.TreeNode
getPosition() - Method in class org.streaminer.stream.membership.DataInputBuffer
getPrev() - Method in class org.streaminer.util.ListNode2
getPreviousLeaf() - Method in class org.streaminer.stream.clustering.birch.CFNode
getProbabilityOfFailure() - Method in class org.streaminer.stream.classifier.bayes.StickySamplingBayes
getQuality(double...) - Method in class org.streaminer.stream.classifier.tree.QualityCriterion.EntropyCriterion: Returns the quality for the given probabilities
getQuality(double...) - Method in interface org.streaminer.stream.classifier.tree.QualityCriterion: Returns the quality for the given probabilities
getQuality(double...) - Method in class org.streaminer.stream.classifier.tree.QualityCriterion.GiniCriterion: Returns the quality for the given probabilities
getQualityAllAttributes() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree.NodeData: Returns the value of the specified QualityCriterion for each of the remaining features
getQualityNoSplit() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree.NodeData: Returns the quality for all examples without splitting
getQualitySplitByFeature(String) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree.NodeData: Returns the weighted averaged quality for splitting by the given feature
getQuantile(double) - Method in class org.streaminer.stream.quantile.CKMSQuantiles: Get the estimated value at the specified quantile.
getQuantile(double) - Method in class org.streaminer.stream.quantile.EnsembleQuantiles
getQuantile(double) - Method in class org.streaminer.stream.quantile.ExactQuantiles
getQuantile(double) - Method in class org.streaminer.stream.quantile.ExactQuantilesAll
getQuantile(double) - Method in class org.streaminer.stream.quantile.Frugal2U
getQuantile(double) - Method in class org.streaminer.stream.quantile.GKQuantiles: Estimates appropriate quantiles (i.e.
getQuantile(double) - Method in interface org.streaminer.stream.quantile.IQuantiles
getQuantile(double) - Method in class org.streaminer.stream.quantile.MPQuantiles
getQuantile(double) - Method in class org.streaminer.stream.quantile.QDigest
getQuantile(double) - Method in class org.streaminer.stream.quantile.rss.RSSQuantiles
getQuantile(double) - Method in class org.streaminer.stream.quantile.SimpleQuantiles
getQuantile(double) - Method in class org.streaminer.stream.quantile.SumQuantiles
getQuantile(double) - Method in class org.streaminer.stream.quantile.TDigest
getQuantile(double) - Method in class org.streaminer.stream.quantile.WindowSketchQuantiles
getQuantile(float) - Method in class org.streaminer.stream.quantile.WindowSketchQuantiles.Quantiles
getQuantiles() - Method in class org.streaminer.stream.quantile.MPQuantiles
getQuantiles() - Method in class org.streaminer.stream.quantile.WindowSketchQuantiles.Quantiles
getRandom(long, long) - Static method in class org.streaminer.util.math.Prime: Returns a randomly chosen prime between a left bound and a right bound.
getRegisterSet() - Method in class org.streaminer.stream.cardinality.HyperLogLogPlus: exposed for testing
getRegressionModel() - Method in class org.streaminer.stream.classifier.tree.LeafNode
getRelativeError() - Method in class org.streaminer.stream.frequency.CountMinSketchAlt
getRemainingFeatures() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree.NodeData: Returns all features remaining for the associated node
getRight() - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode
getRightChild() - Method in class org.streaminer.stream.classifier.tree.InnerNode
getRoot() - Method in class org.streaminer.stream.classifier.tree.RegressionTreeModel
getSampleRatio() - Method in class org.streaminer.stream.quantile.EnsembleQuantiles: Returns current sample rate
getSimilarityMeasure() - Method in class org.streaminer.stream.quantile.EnsembleQuantiles
getSize(Integer) - Method in class org.streaminer.stream.model.SlidingWindow: Returns the element's size at position index
getSize() - Method in interface org.streaminer.stream.sampling.ISampler
getSize() - Method in class org.streaminer.stream.sampling.ReservoirSampler
getSizeForCount(int) - Static method in class org.streaminer.stream.cardinality.RegisterSet
getSpace() - Method in class org.streaminer.stream.histogram.spdt.Gap
getSparseSet() - Method in class org.streaminer.stream.cardinality.HyperLogLogPlus: exposed for testing
getSpecialKeys(Data) - Static method in class org.streaminer.stream.data.DataUtils: Returns the set of special keys contained in the given data item.
getStandardDeviation() - Method in class org.streaminer.stream.classifier.tree.RegressionTreeStatistics
getStandardDeviation() - Method in class org.streaminer.stream.classifier.tree.RTreeStatistics
getStandardDeviationReduction() - Method in class org.streaminer.stream.classifier.tree.BTreeNode
getStartBin() - Method in class org.streaminer.stream.histogram.spdt.Gap
getSubclusterID() - Method in class org.streaminer.stream.clustering.birch.CFEntry
getSubclusterMembers() - Method in class org.streaminer.stream.clustering.birch.CFTree
getSum() - Method in class org.streaminer.stream.histogram.spdt.NumericTarget
getSummary() - Method in class org.streaminer.stream.quantile.WindowSketchQuantiles.Block
getSumSquares() - Method in class org.streaminer.stream.histogram.spdt.NumericTarget
getSupport() - Method in class org.streaminer.stream.classifier.bayes.StickySamplingBayes
getTableOfConfusion(T) - Method in class org.streaminer.stream.eval.ConfusionMatrix: Constructs and returns the TableOfConfusion for the provided label.
getTablesOfConfusion() - Method in class org.streaminer.stream.eval.ConfusionMatrix: Returns a map which contains a TableOfConfusion per label.
getTarget() - Method in class org.streaminer.stream.histogram.spdt.Bin
getTargetCategories() - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns the categories for an array-backed categorical histogram
getTargetSum() - Method in class org.streaminer.stream.histogram.spdt.SumResult
getTargetType() - Method in class org.streaminer.stream.histogram.spdt.ArrayCategoricalTarget
getTargetType() - Method in class org.streaminer.stream.histogram.spdt.GroupTarget
getTargetType() - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns the target type for the histogram
getTargetType() - Method in class org.streaminer.stream.histogram.spdt.MapCategoricalTarget
getTargetType() - Method in class org.streaminer.stream.histogram.spdt.NumericTarget
getTargetType() - Method in class org.streaminer.stream.histogram.spdt.SimpleTarget
getTargetType() - Method in class org.streaminer.stream.histogram.spdt.Target
getTopK() - Method in class org.streaminer.stream.frequency.CountSketch: Returns the top-k items which were counted so far.
getTotalCount() - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
getTotalCount() - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns the total number of points in the histogram.
getTotalTargetSum() - Method in class org.streaminer.stream.histogram.spdt.Histogram
getType(String) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTreeModel: Returns the FeatureType for the specified feature
getTypes(Data) - Static method in class org.streaminer.stream.learner.LearnerUtils
getTypes(Collection<Data>) - Static method in class org.streaminer.stream.learner.LearnerUtils
getUpdateMode() - Method in class org.streaminer.stream.quantile.EnsembleQuantiles: Returns the currently used update mode
getUpperBound() - Method in class org.streaminer.stream.quantile.rss.Interval
getUpperStatistics() - Method in class org.streaminer.stream.classifier.tree.BTreeNode
getUtilization() - Method in class org.streaminer.stream.cardinality.LinearCounting
getValue() - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode
getValue() - Method in class org.streaminer.stream.classifier.tree.RTreeStatistics
getValue() - Method in class org.streaminer.stream.classifier.tree.TreeNode
getValue() - Method in class org.streaminer.util.ListNode2
getValuesInSubsetCount() - Method in class org.streaminer.stream.quantile.rss.Subset
getWeight() - Method in class org.streaminer.stream.histogram.spdt.Bin
getWeightForLabel(T) - Method in class org.streaminer.stream.eval.ConfusionMatrix: Returns the class size as a weight for per-class-calculations.
getWeights() - Method in class org.streaminer.stream.model.HyperplaneModel
getWindowSize() - Method in class org.streaminer.stream.model.SlidingWindow: Returns the size of this sliding window.
getWop() - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes
GINI_INDEX - Static variable in class org.streaminer.stream.classifier.tree.HoeffdingTree: use this field to define the quality criterion to be Gini-Index gain
GINI_INDEX - Static variable in interface org.streaminer.stream.classifier.tree.QualityCriterion
GKQuantiles - Class in org.streaminer.stream.quantile: This class is an implementation of the Greenwald-Khanna algorithm for computing epsilon-approximate quantiles of large data sets.
GKQuantiles() - Constructor for class org.streaminer.stream.quantile.GKQuantiles
GKQuantiles(double) - Constructor for class org.streaminer.stream.quantile.GKQuantiles: Creates a new GKQuantiles object that computes epsilon-approximate quantiles.
GroupTarget - Class in org.streaminer.stream.histogram.spdt
GroupTarget(ArrayList<Target>) - Constructor for class org.streaminer.stream.histogram.spdt.GroupTarget
GroupTarget(Collection<Object>, Collection<Histogram.TargetType>) - Constructor for class org.streaminer.stream.histogram.spdt.GroupTarget
GroupTree - Class in org.streaminer.stream.quantile: A tree containing TDigest.Group.
GroupTree() - Constructor for class org.streaminer.stream.quantile.GroupTree
GroupTree(TDigest.Group) - Constructor for class org.streaminer.stream.quantile.GroupTree
GroupTree(GroupTree, GroupTree) - Constructor for class org.streaminer.stream.quantile.GroupTree
guess(String) - Method in class org.streaminer.stream.classifier.MultiRandomClassifier

H

h - Variable in class org.streaminer.stream.frequency.CountSketch: Hashfunctions which determine the bucket to add the s-hashfunctions.
hasChild() - Method in class org.streaminer.stream.clustering.birch.CFEntry
hash(T) - Method in interface org.streaminer.util.hash.function.HashFunction: Computes a hash which is not unique but returns for an object x the same value.
hash(T) - Method in class org.streaminer.util.hash.function.JenkinsHashFunction
hash(T) - Method in class org.streaminer.util.hash.function.MurmurHashFunction
hash(T) - Method in class org.streaminer.util.hash.function.SimpleHashFunction
hash(T) - Method in class org.streaminer.util.hash.function.TwoUniversalHashFunction
hash(Object) - Static method in class org.streaminer.util.hash.JenkinsHash
hash(Object) - Static method in class org.streaminer.util.hash.MurmurHash
hash(byte[]) - Static method in class org.streaminer.util.hash.MurmurHash
hash(byte[], int) - Static method in class org.streaminer.util.hash.MurmurHash
hash(byte[], int, int) - Static method in class org.streaminer.util.hash.MurmurHash
hash31(long, long, long) - Static method in class org.streaminer.util.hash.HashUtils: return a hash of x using a and b mod (2^31 - 1) may need to do another mod afterwards, or drop high bits depending on d, number of bad guys 2^31 - 1 = 2147483647
hash32(byte[]) - Static method in class org.streaminer.util.hash.JenkinsHash: Returns a 32-bit hash value.
hash64(Object) - Static method in class org.streaminer.util.hash.JenkinsHash
hash64(byte[]) - Static method in class org.streaminer.util.hash.JenkinsHash: Returns a 64-bit hash value.
hash64(Object) - Static method in class org.streaminer.util.hash.MurmurHash
hash64(byte[], int) - Static method in class org.streaminer.util.hash.MurmurHash: Generates 64 bit hash from byte array with default seed value.
hash64(byte[], int, int) - Static method in class org.streaminer.util.hash.MurmurHash: Generates 64 bit hash from byte array of the given length and seed.
hashCode() - Method in class org.streaminer.stream.histogram.spdt.Bin
hashCode() - Method in class org.streaminer.stream.histogram.spdt.Gap
hashCode() - Method in class org.streaminer.stream.quantile.TDigest.Group
hashCode() - Method in class org.streaminer.util.Pair
HashFunction<T> - Interface in org.streaminer.util.hash.function: Interface for specific hash functions.
HashFunctionFactory<T> - Interface in org.streaminer.util.hash.factory
hashLong(long) - Static method in class org.streaminer.util.hash.MurmurHash
HashUtils - Class in org.streaminer.util.hash
HashUtils() - Constructor for class org.streaminer.util.hash.HashUtils
hasNext() - Method in class org.streaminer.util.AbstractIterator
hasNext() - Method in class org.streaminer.util.DoublyLinkedList.DoublyLinkedListIterator
head - Variable in class org.streaminer.util.DoublyLinkedList
head() - Method in class org.streaminer.util.DoublyLinkedList
headCount(TDigest.Group) - Method in class org.streaminer.stream.quantile.GroupTree
headSum(TDigest.Group) - Method in class org.streaminer.stream.quantile.GroupTree
HIDDEN_PREFIX - Static variable in interface org.streaminer.stream.data.Data: Deprecated.
hide(String, Data) - Static method in class org.streaminer.stream.data.DataUtils: Deprecated.
hide(String) - Static method in class org.streaminer.stream.data.DataUtils: Deprecated.
higher(double) - Method in class org.streaminer.stream.histogram.spdt.ArrayBinReservoir
higher(double) - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
higher(double) - Method in class org.streaminer.stream.histogram.spdt.TreeBinReservoir
Histogram<T extends Target> - Class in org.streaminer.stream.histogram.spdt: Implements a Histogram as defined by the Streaming Parallel Decision Tree (SPDT) algorithm.
Histogram(int, boolean, Collection<Object>, Collection<Histogram.TargetType>, Long, Histogram.BinReservoirType) - Constructor for class org.streaminer.stream.histogram.spdt.Histogram: Creates an empty Histogram with the defined number of bins.
Histogram(int, boolean) - Constructor for class org.streaminer.stream.histogram.spdt.Histogram: Creates an empty Histogram with the defined number of bins.
Histogram(int) - Constructor for class org.streaminer.stream.histogram.spdt.Histogram: Creates an empty Histogram with the defined number of bins.
Histogram.BinReservoirType - Enum in org.streaminer.stream.histogram.spdt
Histogram.TargetType - Enum in org.streaminer.stream.histogram.spdt
HL - Static variable in class org.streaminer.util.hash.HashUtils
HLC - Static variable in class org.streaminer.stream.cardinality.CountThenEstimate
HLPC - Static variable in class org.streaminer.stream.cardinality.CountThenEstimate
HoeffdingTree - Class in org.streaminer.stream.classifier.tree: Learns a HoeffdingTreeModel representing a Hoeffding Tree as described by

Domingos/Hulten/2000: Mining HighSpeed Data Streams
HoeffdingTree() - Constructor for class org.streaminer.stream.classifier.tree.HoeffdingTree
HoeffdingTree(String) - Constructor for class org.streaminer.stream.classifier.tree.HoeffdingTree
HoeffdingTree(Map<String, Class<?>>, Map<String, List<Serializable>>, List<Serializable>, double, QualityCriterion, double) - Constructor for class org.streaminer.stream.classifier.tree.HoeffdingTree: Most extensive constructor to define all parameters by setting them manually
HoeffdingTree(Collection<Data>) - Constructor for class org.streaminer.stream.classifier.tree.HoeffdingTree: Constructor sets all parameters to default
HoeffdingTree.NodeData - Class in org.streaminer.stream.classifier.tree: Gathers all necessary data for a corresponding node including remaining features and counters in one object.
HoeffdingTree.NodeData(String, List<String>) - Constructor for class org.streaminer.stream.classifier.tree.HoeffdingTree.NodeData: Constructs a node data object for a node with the specified remaining features.
HoeffdingTreeModel - Class in org.streaminer.stream.classifier.tree: Represents a Hoeffding Tree.
HoeffdingTreeModel(Map<String, Class<?>>, Serializable) - Constructor for class org.streaminer.stream.classifier.tree.HoeffdingTreeModel: Creates a new Hoeffding Tree containing only an empty root with an initial label.
Defines a type for each feature.
HoeffdingTreeNode - Class in org.streaminer.stream.classifier.tree: Represents a node in a HoeffdingTreeModel
HoeffdingTreeNode(Serializable) - Constructor for class org.streaminer.stream.classifier.tree.HoeffdingTreeNode: Initializes a new HoeffdingTreeNode with no feature and no children but a label.
humanReadable(long) - Static method in class org.streaminer.util.SizeOf: Format size in a human readable format
HyperLogLog - Class in org.streaminer.stream.cardinality: Java implementation of HyperLogLog (HLL) algorithm from this paper:
http://algo.inria.fr/flajolet/Publications/FlFuGaMe07.pdf
HLL is an improved version of LogLog that is capable of estimating the cardinality of a set with accuracy = 1.04/sqrt(m) where m = 2^b.
HyperLogLog(double) - Constructor for class org.streaminer.stream.cardinality.HyperLogLog: Create a new HyperLogLog instance using the specified standard deviation.
HyperLogLog(int) - Constructor for class org.streaminer.stream.cardinality.HyperLogLog: Create a new HyperLogLog instance.
HyperLogLog(int, RegisterSet) - Constructor for class org.streaminer.stream.cardinality.HyperLogLog: Creates a new HyperLogLog instance using the given registers.
HyperLogLog.Builder - Class in org.streaminer.stream.cardinality
HyperLogLog.Builder(double) - Constructor for class org.streaminer.stream.cardinality.HyperLogLog.Builder
HyperLogLog.HyperLogLogMergeException - Exception in org.streaminer.stream.cardinality
HyperLogLog.HyperLogLogMergeException(String) - Constructor for exception org.streaminer.stream.cardinality.HyperLogLog.HyperLogLogMergeException
HyperLogLogPlus - Class in org.streaminer.stream.cardinality: Implementation of HyperLogLog++ described in
HyperLogLogPlus(int) - Constructor for class org.streaminer.stream.cardinality.HyperLogLogPlus: This constructor disables the sparse set.
HyperLogLogPlus(int, int) - Constructor for class org.streaminer.stream.cardinality.HyperLogLogPlus: Basic constructor for creating a instance that supports sparse and normal representations.
HyperLogLogPlus(int, int, List<byte[]>) - Constructor for class org.streaminer.stream.cardinality.HyperLogLogPlus: Constructor to support instances serialized with the legacy sparse encoding scheme.
HyperLogLogPlus.Builder - Class in org.streaminer.stream.cardinality
HyperLogLogPlus.Builder(int, int) - Constructor for class org.streaminer.stream.cardinality.HyperLogLogPlus.Builder
HyperLogLogPlus.HyperLogLogPlusMergeException - Exception in org.streaminer.stream.cardinality
HyperLogLogPlus.HyperLogLogPlusMergeException(String) - Constructor for exception org.streaminer.stream.cardinality.HyperLogLogPlus.HyperLogLogPlusMergeException
HyperplaneModel - Class in org.streaminer.stream.model: Data model for separating Hyperplanes.
HyperplaneModel(int) - Constructor for class org.streaminer.stream.model.HyperplaneModel

I

IAverage - Interface in org.streaminer.stream.avg: Interface for algorithms that calculate the average over a data stream.
IBaseFrequency<T> - Interface in org.streaminer.stream.frequency
IBuilder<T> - Interface in org.streaminer.util
ICardinality - Interface in org.streaminer.stream.cardinality: Interface for algorithms that calculate the cardinality over a data stream.
ICompactSerializer<T> - Interface in org.streaminer.stream.membership: Allows for the controlled serialization/deserialization of a given type.
id() - Method in class org.streaminer.stream.quantile.TDigest.Group
Identity - Class in org.streaminer.stream.mapper
Identity() - Constructor for class org.streaminer.stream.mapper.Identity
IMapper<I,O> - Interface in org.streaminer.stream.mapper: This class defines a mapper as an instance that receives a datum from a data-stream and maps it to a generic new element.
includes(Double) - Method in class org.streaminer.stream.classifier.tree.Range
incrementCount(long) - Method in class org.streaminer.stream.frequency.util.Counter
incrementCounter(ListNode2<Counter<T>>, long) - Method in class org.streaminer.stream.frequency.topk.StreamSummary
INFO_GAIN - Static variable in interface org.streaminer.stream.classifier.tree.QualityCriterion
INFORMATION_GAIN - Static variable in class org.streaminer.stream.classifier.tree.HoeffdingTree: use this field to define the quality criterion to be information gain
init() - Method in class org.streaminer.stream.classifier.AbstractClassifier
init() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree
init() - Method in class org.streaminer.stream.classifier.tree.RTree
init() - Method in class org.streaminer.stream.histogram.spdt.ArrayCategoricalTarget
init() - Method in class org.streaminer.stream.histogram.spdt.GroupTarget
init() - Method in class org.streaminer.stream.histogram.spdt.MapCategoricalTarget
init() - Method in class org.streaminer.stream.histogram.spdt.NumericTarget
init() - Method in class org.streaminer.stream.histogram.spdt.SimpleTarget
init() - Method in class org.streaminer.stream.histogram.spdt.Target
init() - Method in class org.streaminer.stream.learner.AbstractRegressor
init() - Method in interface org.streaminer.stream.learner.Learner: This method is called after the learner has been created and all parameters have been set.
initArray(double[]) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree.NodeData: initializes the specified array by writing explicitly '0d' to each position.
initialize(Map<String, Class<?>>, Map<String, List<Serializable>>, List<Serializable>, double, QualityCriterion, double) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree: Initializes the learner with all necessary information.
initialize(Collection<Data>) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree: Initializes the learner by extracting all necessary information from the specified initial example set.
initialized - Variable in class org.streaminer.stream.classifier.tree.HoeffdingTree: indicates if the learner is initialized so it has all necessary information for learning
initializeHashes(int, int, int) - Method in class org.streaminer.stream.frequency.CountMinSketch: We only need the h-hash functions since the CountMinSketch algorithm always increments the values in the data.
initializeHashes(int, int, int, HashFunctionFactory<T>) - Method in class org.streaminer.stream.frequency.CountSketch: Initialize all necessary hash functions.
initModel(Map<String, Double>, Double) - Method in class org.streaminer.stream.model.HyperplaneModel
INNER_PRODUCT - Static variable in class org.streaminer.util.distance.Kernel: Use inner product as distance measure
InnerNode - Class in org.streaminer.stream.classifier.tree
InnerNode(String, Serializable, Regressor<Data>, int) - Constructor for class org.streaminer.stream.classifier.tree.InnerNode
innerProduct(AMSSketch) - Method in class org.streaminer.stream.frequency.AMSSketch
inOrder(Visitor<BinaryTreeNode<I, V>>) - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode: Implementation of an in-order traversal following the visitor pattern.
insert(Double) - Method in class org.streaminer.stream.classifier.tree.BTreeNode
insert(int, TreeNode) - Method in class org.streaminer.stream.classifier.tree.TreeNode
insert(Bin<T>) - Method in class org.streaminer.stream.histogram.spdt.ArrayBinReservoir
insert(Bin<T>) - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
insert(Double) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Inserts a new point into the histogram.
insert(Double, double) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Inserts a new point with a numeric target into the histogram.
insert(Double, String) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Inserts a new point with a categorical target into the histogram.
insert(Double, Collection<Object>) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Inserts a new point with a group of targets into the histogram.
insert(Bin<T>) - Method in class org.streaminer.stream.histogram.spdt.TreeBinReservoir
insert(Double) - Method in class org.streaminer.stream.quantile.WindowSketchQuantiles.Block
insertBin(Bin<T>) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Inserts a new bin into the histogram.
insertCategorical(Double, Object) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Inserts a new point with a categorical target into the histogram.
insertEntry(CFEntry) - Method in class org.streaminer.stream.clustering.birch.CFNode: Inserts a new entry to the CFTree
insertEntry(double[]) - Method in class org.streaminer.stream.clustering.birch.CFTree: Inserts a single pattern vector into the CFTree
insertEntry(double[], int) - Method in class org.streaminer.stream.clustering.birch.CFTree: Insert a pattern vector with a specific associated pattern vector index.
insertGroup(Double, Collection<Object>) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Inserts a new point with a group target into the histogram.
insertMissing(long, T) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Inserts count and target information for missing inputs.
insertNumeric(Double, Double) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Inserts a new point with a numeric target into the histogram.
Interval - Class in org.streaminer.stream.quantile.rss: A helper class to handle intervals nicely
Interval(int, int) - Constructor for class org.streaminer.stream.quantile.rss.Interval
IQuantiles<T> - Interface in org.streaminer.stream.quantile
IRichFrequency<T> - Interface in org.streaminer.stream.frequency
ISampler<T> - Interface in org.streaminer.stream.sampling
ISampleSet<T> - Interface in org.streaminer.stream.frequency.util
isAnnotation(String) - Static method in class org.streaminer.stream.data.DataUtils
isCountWeightedGaps() - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns whether gaps are count weighted.
isDummy() - Method in class org.streaminer.stream.clustering.birch.CFNode
isEmpty() - Method in class org.streaminer.stream.model.SlidingWindow: Checks whether the SlidingWindow is empty
isEmpty() - Method in class org.streaminer.util.DoublyLinkedList
isFeature(String) - Static method in class org.streaminer.stream.data.DataUtils
isFrequent(long) - Method in class org.streaminer.stream.frequency.StickySampling: Returns whether the provided frequency is a frequent one in terms of sticky sampling.
isFrozen() - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
IsFull() - Method in class org.streaminer.stream.quantile.rss.Bucket: returns true if the bucket exceeded its capacity
isHidden(String) - Static method in class org.streaminer.stream.data.DataUtils: Deprecated.
isHiddenOrSpecial(String) - Static method in class org.streaminer.stream.data.DataUtils
ISimpleFrequency<T> - Interface in org.streaminer.stream.frequency
isInInitialPhase() - Method in class org.streaminer.stream.quantile.SimpleQuantiles: Before a quantile can be computed, the first buffer has to be filled.
isLabel(String) - Static method in class org.streaminer.stream.learner.LearnerUtils
isLeaf() - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode
isLeaf() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTreeNode: Returns true iff this node actually represents a leaf in the contained tree.
isLeaf() - Method in class org.streaminer.stream.classifier.tree.TreeNode
isLeaf() - Method in class org.streaminer.stream.clustering.birch.CFNode
isLeftChild() - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode
isMajority(boolean) - Method in class org.streaminer.stream.frequency.Majority
isNewItem() - Method in class org.streaminer.stream.frequency.util.ScoredItem
isNominal(String, Data) - Static method in class org.streaminer.stream.learner.LearnerUtils
isNumerical(String, Data) - Static method in class org.streaminer.stream.learner.LearnerUtils
isPrediction(String) - Static method in class org.streaminer.stream.learner.LearnerUtils
isPresent(String) - Method in class org.streaminer.stream.membership.BloomFilter
isPresent(byte[]) - Method in class org.streaminer.stream.membership.BloomFilter
isPresent(String) - Method in class org.streaminer.stream.membership.Filter
isRightChild() - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode
isRightChild() - Method in class org.streaminer.stream.classifier.tree.LeafNode
isSaturated() - Method in class org.streaminer.stream.cardinality.LinearCounting
isSpecial(String) - Static method in class org.streaminer.stream.data.DataUtils: Checks if the given key is a special key.
isUniformLabel() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree.NodeData: Returns true iff all so far seen examples in the corresponding node had the same class
isWeightGaps() - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
isWithinThreshold(CFEntry, double, int) - Method in class org.streaminer.stream.clustering.birch.CFEntry
item - Variable in class org.streaminer.stream.frequency.util.CountEntry: The item this CountEntry is associated with.
iterativeSizeOf(Object) - Static method in class org.streaminer.util.SizeOf: Deprecated.
use deepSizeOf
iterator() - Method in class org.streaminer.stream.quantile.GroupTree: Iteratres through all groups in the tree.
iterator() - Method in class org.streaminer.util.DoublyLinkedList
ITopK<T> - Interface in org.streaminer.stream.frequency.topk
itr - Variable in class org.streaminer.util.DoublyLinkedList.DoublyLinkedListIterator

J

JenkinsHash - Class in org.streaminer.util.hash: This is an implementation of Bob Jenkins' hash.
JenkinsHash() - Constructor for class org.streaminer.util.hash.JenkinsHash
JenkinsHashFunction<T> - Class in org.streaminer.util.hash.function
JenkinsHashFunction() - Constructor for class org.streaminer.util.hash.function.JenkinsHashFunction
join(List<String>, String) - Method in class org.streaminer.stream.classifier.AbstractMultiClassifier: A simple convenience method to join a list of strings, interleaving them with the given glue string.

K

k - Variable in class org.streaminer.stream.cardinality.AdaptiveCounting.Builder
k - Variable in class org.streaminer.stream.cardinality.LogLog.Builder
k - Variable in class org.streaminer.stream.cardinality.LogLog
k - Variable in class org.streaminer.stream.frequency.CountSketch: As CountSketch also provides top-k estimation a parameter k can be provided.
Kernel - Class in org.streaminer.util.distance: Provides methods for calculating distances between two examples.
Kernel(int) - Constructor for class org.streaminer.util.distance.Kernel
KeyMapper - Class in org.streaminer.stream.mapper
KeyMapper(String, String) - Constructor for class org.streaminer.stream.mapper.KeyMapper
KeyMapper() - Constructor for class org.streaminer.stream.mapper.KeyMapper
keySet() - Method in class org.streaminer.stream.frequency.CountSketch
keySet() - Method in interface org.streaminer.stream.frequency.IRichFrequency
keySet() - Method in class org.streaminer.stream.frequency.LossyCounting
keySet() - Method in class org.streaminer.stream.frequency.Majority
keySet() - Method in class org.streaminer.stream.frequency.MisraGries
keySet() - Method in class org.streaminer.stream.frequency.RealCounting
keySet() - Method in class org.streaminer.stream.frequency.SimpleTopKCounting
keySet() - Method in class org.streaminer.stream.frequency.SpaceSaving
keySet() - Method in class org.streaminer.stream.frequency.StickySampling

L

labelAttribute - Variable in class org.streaminer.stream.classifier.tree.HoeffdingTree: Empty Constructor to instantiate the learner without initializing.
labels - Variable in class org.streaminer.stream.classifier.tree.HoeffdingTree: all possible labels
last() - Method in class org.streaminer.stream.histogram.spdt.ArrayBinReservoir
last() - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
last() - Method in class org.streaminer.stream.histogram.spdt.TreeBinReservoir
last() - Method in class org.streaminer.stream.quantile.GroupTree
last() - Method in class org.streaminer.util.DoublyLinkedList
LC - Static variable in class org.streaminer.stream.cardinality.CountThenEstimate
LeafNode - Class in org.streaminer.stream.classifier.tree
LeafNode(RegressionTreeNode, boolean, Regressor<Data>, int) - Constructor for class org.streaminer.stream.classifier.tree.LeafNode: Constructs empty leaf element with the given regressor as its regression model.
learn(D) - Method in class org.streaminer.stream.classifier.AbstractClassifier
learn(Data) - Method in class org.streaminer.stream.classifier.bayes.BoundedBayes: Applies the super method of the NaiveBayes class and truncates the distribution models to the given limit, afterwards.
learn(Data) - Method in class org.streaminer.stream.classifier.bayes.MultiBayes
learn(Data) - Method in class org.streaminer.stream.classifier.bayes.MultiTopkBayes
learn(Data) - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes
learn(Data) - Method in class org.streaminer.stream.classifier.bayes.NaiveBayesWOP
learn(Data) - Method in class org.streaminer.stream.classifier.MajorityClass
learn(Data) - Method in class org.streaminer.stream.classifier.MultiRandomClassifier
learn(Data) - Method in class org.streaminer.stream.classifier.Perceptron
learn(Data) - Method in class org.streaminer.stream.classifier.RandomClassifier
learn(Data) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree: This method implements 'The Hoeffding tree algorithm' as presented in Table 1 on page 3 in
Domingos/Hulten/2000: Mining HighSpeed Data Streams as precisely as possible.
The comments in the method are taken from the original pseudo code implementation and each describes the following line(s).
learn(Data) - Method in class org.streaminer.stream.classifier.tree.RegressionTree
learn(Data) - Method in class org.streaminer.stream.classifier.tree.RTree
learn(D) - Method in class org.streaminer.stream.learner.AbstractRegressor
learn(T) - Method in interface org.streaminer.stream.learner.Learner: Starts or continues to train a model.
Learner<T,M extends Model> - Interface in org.streaminer.stream.learner: This interface defines the learning step of a machine learning algorithm.
LearnerUtils - Class in org.streaminer.stream.learner
LearnerUtils() - Constructor for class org.streaminer.stream.learner.LearnerUtils
left - Variable in class org.streaminer.util.Pair
length - Variable in class org.streaminer.stream.cardinality.LinearCounting: Size of the map in bits
length - Variable in class org.streaminer.util.DoublyLinkedList.DoublyLinkedListIterator
lerp(int, int, int, int, int) - Static method in class org.streaminer.stream.cardinality.LinearCounting.Builder
LINE_SEPATATOR - Static variable in class org.streaminer.stream.classifier.tree.RegressionTreeNode
LinearCounting - Class in org.streaminer.stream.cardinality: See A Linear-Time Probabilistic Counting Algorithm for Database Applications by Whang, Vander-Zanden, Taylor
LinearCounting(int) - Constructor for class org.streaminer.stream.cardinality.LinearCounting
LinearCounting(byte[]) - Constructor for class org.streaminer.stream.cardinality.LinearCounting
LinearCounting.Builder - Class in org.streaminer.stream.cardinality
LinearCounting.Builder() - Constructor for class org.streaminer.stream.cardinality.LinearCounting.Builder
LinearCounting.Builder(int) - Constructor for class org.streaminer.stream.cardinality.LinearCounting.Builder
LinearCounting.LinearCountingMergeException - Exception in org.streaminer.stream.cardinality
LinearCounting.LinearCountingMergeException(String) - Constructor for exception org.streaminer.stream.cardinality.LinearCounting.LinearCountingMergeException
LinearDistance - Class in org.streaminer.util.distance: This class gives some static methods concerning amount distance of vectors.
LinearDistance() - Constructor for class org.streaminer.util.distance.LinearDistance
LinearRegression<D> - Interface in org.streaminer.stream.classifier.tree
list - Variable in class org.streaminer.util.DoublyLinkedList.DoublyLinkedListIterator
ListNode2<T> - Class in org.streaminer.util
ListNode2(T) - Constructor for class org.streaminer.util.ListNode2
Lists - Class in org.streaminer.util: Toy version of the guava class.
Lists() - Constructor for class org.streaminer.util.Lists
LLC - Static variable in class org.streaminer.stream.cardinality.CountThenEstimate
log2(double) - Static method in class org.streaminer.stream.quantile.rss.Bucket
log2(double) - Static method in class org.streaminer.util.math.MathHelper: This method simply calculates the log with base 2
LOG2_BITS_PER_WORD - Static variable in class org.streaminer.stream.cardinality.RegisterSet
LogLog - Class in org.streaminer.stream.cardinality
LogLog(int) - Constructor for class org.streaminer.stream.cardinality.LogLog
LogLog(byte[]) - Constructor for class org.streaminer.stream.cardinality.LogLog
LogLog.Builder - Class in org.streaminer.stream.cardinality
LogLog.Builder() - Constructor for class org.streaminer.stream.cardinality.LogLog.Builder
LogLog.Builder(int) - Constructor for class org.streaminer.stream.cardinality.LogLog.Builder
LogLog.LogLogMergeException - Exception in org.streaminer.stream.cardinality
LogLog.LogLogMergeException(String) - Constructor for exception org.streaminer.stream.cardinality.LogLog.LogLogMergeException
longMedSelect(int, int, long[]) - Static method in class org.streaminer.util.ArrayUtils
lookup3(int[], int, int, int) - Static method in class org.streaminer.util.hash.Lookup3Hash: A Java implementation of hashword from lookup3.c by Bob Jenkins (original source).
Lookup3Hash - Class in org.streaminer.util.hash: Fast, well distributed, cross-platform hash functions.
Lookup3Hash() - Constructor for class org.streaminer.util.hash.Lookup3Hash
lookup3ycs(int[], int, int, int) - Static method in class org.streaminer.util.hash.Lookup3Hash: Identical to lookup3, except initval is biased by -(length<<2).
lookup3ycs(CharSequence, int, int, int) - Static method in class org.streaminer.util.hash.Lookup3Hash: The hash value of a character sequence is defined to be the hash of it's unicode code points, according to Lookup3Hash.lookup3ycs(int[] k, int offset, int length, int initval)
lookup3ycs64(CharSequence, int, int, long) - Static method in class org.streaminer.util.hash.Lookup3Hash: This is the 64 bit version of lookup3ycs, corresponding to Bob Jenkin's lookup3 hashlittle2 with initval biased by -(numCodePoints<<2).
lookup3ycs64(CharSequence) - Static method in class org.streaminer.util.hash.Lookup3Hash
LossyBayes - Class in org.streaminer.stream.classifier.bayes: This class extends the NaiveBayes implementation but overrides the methods which are responsible for creating the distribution estimators.
LossyBayes() - Constructor for class org.streaminer.stream.classifier.bayes.LossyBayes
LossyCounting<T> - Class in org.streaminer.stream.frequency: Implementation of the Lossy Counting algorithm described in the paper "Approximate Frequency Counts over Data Streams" written by 'Rajeev Motwani' and 'Gurmeet Singh Manku'.
LossyCounting(double) - Constructor for class org.streaminer.stream.frequency.LossyCounting: Constructs an instance of the LossyCounting algorithm with the specified maximum error bound, which can not be changed.
lower(double) - Method in class org.streaminer.stream.histogram.spdt.ArrayBinReservoir
lower(double) - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
lower(double) - Method in class org.streaminer.stream.histogram.spdt.TreeBinReservoir

M

m - Variable in class org.streaminer.stream.cardinality.LogLog
M - Variable in class org.streaminer.stream.cardinality.LogLog
Majority - Class in org.streaminer.stream.frequency: Majority algorithm.
Majority() - Constructor for class org.streaminer.stream.frequency.Majority
MajorityClass - Class in org.streaminer.stream.classifier
MajorityClass() - Constructor for class org.streaminer.stream.classifier.MajorityClass
mAlpha - Static variable in class org.streaminer.stream.cardinality.LogLog: Gamma function computed using SciLab ((gamma(-(m.^(-1))).* ( (1-2.^(m.^(-1)))./log(2) )).^(-m)).*m
MANHATTAN_DISTANCE - Static variable in class org.streaminer.stream.quantile.EnsembleQuantiles
map - Variable in class org.streaminer.stream.cardinality.LinearCounting: Bitmap Hashed stream elements are mapped to bits in this array
map(Map<String, Object>) - Method in class org.streaminer.stream.mapper.AddMax
map(Map<String, Object>) - Method in class org.streaminer.stream.mapper.AddMinMax
map(Data) - Method in class org.streaminer.stream.mapper.AttributeFilter
map(Data) - Method in class org.streaminer.stream.mapper.ExtractDouble
map(Data) - Method in class org.streaminer.stream.mapper.Identity
map(I) - Method in interface org.streaminer.stream.mapper.IMapper: Map the given input element to an object of the specified generic class.
map(Data) - Method in class org.streaminer.stream.mapper.KeyMapper
map(Data) - Method in class org.streaminer.stream.mapper.Normalization
map(Data) - Method in class org.streaminer.stream.mapper.NumericalBinning
map(Double) - Method in class org.streaminer.stream.mapper.NumericalBinning
map(Map<String, Object>) - Method in class org.streaminer.stream.mapper.SelectFeaturesMapper
mapAsBitString() - Method in class org.streaminer.stream.cardinality.LinearCounting: For debug purposes
MapCategoricalTarget - Class in org.streaminer.stream.histogram.spdt
MapCategoricalTarget(Object) - Constructor for class org.streaminer.stream.histogram.spdt.MapCategoricalTarget
MapCategoricalTarget(HashMap<Object, Double>, double) - Constructor for class org.streaminer.stream.histogram.spdt.MapCategoricalTarget
MapCategoricalTarget(HashMap<Object, Double>) - Constructor for class org.streaminer.stream.histogram.spdt.MapCategoricalTarget
mapToClosestSubcluster(CFEntry) - Method in class org.streaminer.stream.clustering.birch.CFNode: Retrieves the subcluster id of the closest leaf entry to e
mapToClosestSubcluster(double[]) - Method in class org.streaminer.stream.clustering.birch.CFTree: Retrieves the subcluster id of the closest leaf entry to e
MathHelper - Class in org.streaminer.util.math: this class should provide math helper and wrapper functions
maxError - Variable in class org.streaminer.stream.frequency.util.CountEntryWithMaxError
mean() - Method in class org.streaminer.stream.quantile.TDigest.Group
medSelect(int, int, int[]) - Static method in class org.streaminer.util.ArrayUtils
merge(ICardinality...) - Method in class org.streaminer.stream.cardinality.AdaptiveCounting
merge(ICardinality...) - Method in class org.streaminer.stream.cardinality.CountThenEstimate
merge(ICardinality...) - Method in class org.streaminer.stream.cardinality.HyperLogLog
merge(ICardinality...) - Method in class org.streaminer.stream.cardinality.HyperLogLogPlus: Merge this HLL++ with a bunch of others! The power of minions!
Most of the logic consists of case analysis about the state of this HLL++ and each one it wants to merge with.
merge(ICardinality...) - Method in interface org.streaminer.stream.cardinality.ICardinality: Merges estimators to produce a new estimator for the combined streams of this estimator and those passed as arguments.
merge(ICardinality...) - Method in class org.streaminer.stream.cardinality.LinearCounting
merge(ICardinality...) - Method in class org.streaminer.stream.cardinality.LogLog
merge(RegisterSet) - Method in class org.streaminer.stream.cardinality.RegisterSet
merge(CountMinSketchAlt...) - Static method in class org.streaminer.stream.frequency.CountMinSketchAlt: Merges count min sketches to produce a count min sketch for their combined streams
merge() - Method in class org.streaminer.stream.histogram.spdt.ArrayBinReservoir
merge() - Method in class org.streaminer.stream.histogram.spdt.BinReservoir
merge(Histogram<T>) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Merges a histogram into the current histogram.
merge() - Method in class org.streaminer.stream.histogram.spdt.TreeBinReservoir
merge(double, Iterable<TDigest>) - Static method in class org.streaminer.stream.quantile.TDigest
MERGE_MOST_DISSIMILAR_MODELS - Static variable in class org.streaminer.stream.quantile.EnsembleQuantiles: use this String at EnsembleQuantiles.setUpdateMode(String) for merging the most dissimilar models of the ensemble.
MERGE_MOST_SIMILAR_MODELS - Static variable in class org.streaminer.stream.quantile.EnsembleQuantiles: use this String at EnsembleQuantiles.setUpdateMode(String) for merging the most similar models of the ensemble instead of deleting one.
MERGE_OLDEST_MODELS - Static variable in class org.streaminer.stream.quantile.EnsembleQuantiles: use this String at EnsembleQuantiles.setUpdateMode(String) for merging the eldest and second eldest model in order to decrease the ensemble size by one.
MERGE_ROUND_ROBIN - Static variable in class org.streaminer.stream.quantile.EnsembleQuantiles: this strategy merges the new, full bucket into the next one that is, the one which has not been merged for the longest time
mergeEstimators(LogLog...) - Static method in class org.streaminer.stream.cardinality.AdaptiveCounting: Merges estimators to produce an estimator for their combined streams
mergeEstimators(CountThenEstimate...) - Static method in class org.streaminer.stream.cardinality.CountThenEstimate: Merges estimators to produce an estimator for their combined streams
mergeEstimators(LinearCounting...) - Static method in class org.streaminer.stream.cardinality.LinearCounting: Merges estimators to produce an estimator for their combined streams
mergeEstimators(LogLog...) - Static method in class org.streaminer.stream.cardinality.LogLog: Merges estimators to produce an estimator for their combined streams
mergeTempList() - Method in class org.streaminer.stream.cardinality.HyperLogLogPlus: Script-esque function that handles preparing to and executing merging the sparse set and the temp list.
mergingRefinement(CFEntryPair) - Method in class org.streaminer.stream.clustering.birch.CFNode
minQualityForSplit - Variable in class org.streaminer.stream.classifier.tree.HoeffdingTree: defines which value the quality function must deliver at least to split a node.
MisraGries<T> - Class in org.streaminer.stream.frequency: Implementation of the MisraGries frequency count algorithm.
MisraGries(int) - Constructor for class org.streaminer.stream.frequency.MisraGries
MixedInsertException - Exception in org.streaminer.stream.histogram.spdt
MixedInsertException() - Constructor for exception org.streaminer.stream.histogram.spdt.MixedInsertException
MOD - Static variable in class org.streaminer.util.hash.HashUtils
Model - Interface in org.streaminer.stream.model: This interface defines the basic structure of a model.
ModelTree - Class in org.streaminer.stream.classifier.tree: This class implements a general model tree, which basically is a decision tree with prediction models at its leaf nodes.
ModelTree(String, TreeNode, SplitCriterion) - Constructor for class org.streaminer.stream.classifier.tree.ModelTree
MovingAverage - Class in org.streaminer.stream.avg: A simple moving average is a method for computing an average of a stream of numbers by only averaging the last P numbers from the stream, where P is known as the period.
MovingAverage(int) - Constructor for class org.streaminer.stream.avg.MovingAverage
MPQuantiles - Class in org.streaminer.stream.quantile: An implementation of the Munro-Paterson one-pass quantile estimation algorithm, available via: http://scholar.google.com/scholar?q=munro+paterson
MPQuantiles(int) - Constructor for class org.streaminer.stream.quantile.MPQuantiles
mult(double) - Method in class org.streaminer.stream.histogram.spdt.ArrayCategoricalTarget
mult(double) - Method in class org.streaminer.stream.histogram.spdt.GroupTarget
mult(double) - Method in class org.streaminer.stream.histogram.spdt.MapCategoricalTarget
mult(double) - Method in class org.streaminer.stream.histogram.spdt.NumericTarget
mult(double) - Method in class org.streaminer.stream.histogram.spdt.SimpleTarget
mult(double) - Method in class org.streaminer.stream.histogram.spdt.Target
MultiBayes - Class in org.streaminer.stream.classifier.bayes: This is a special variant of the NaiveBayes classifier, which implements an ensemble of NaiveBayes instances, each of which predicts one of a set of labels.
MultiBayes() - Constructor for class org.streaminer.stream.classifier.bayes.MultiBayes
MultiLossyBayes - Class in org.streaminer.stream.classifier.bayes: This implementation of the MultiBayes learner uses the Lossy-Counting Bayes implementation, which counts at fixed memory space.
MultiLossyBayes() - Constructor for class org.streaminer.stream.classifier.bayes.MultiLossyBayes
MultiRandomClassifier - Class in org.streaminer.stream.classifier: This classifier predicts a random class.
MultiRandomClassifier() - Constructor for class org.streaminer.stream.classifier.MultiRandomClassifier
MultiTopkBayes - Class in org.streaminer.stream.classifier.bayes: This implementation of the MultiBayes learner uses the Lossy-Counting Bayes implementation, which counts at fixed memory space.
MultiTopkBayes() - Constructor for class org.streaminer.stream.classifier.bayes.MultiTopkBayes
MurmurHash - Class in org.streaminer.util.hash: This is a very fast, non-cryptographic hash suitable for general hash-based lookup.
MurmurHash() - Constructor for class org.streaminer.util.hash.MurmurHash
MurmurHashFunction<T> - Class in org.streaminer.util.hash.function
MurmurHashFunction() - Constructor for class org.streaminer.util.hash.function.MurmurHashFunction

N

NaiveBayes - Class in org.streaminer.stream.classifier.bayes: This class implements a NaiveBayes classifier.
NaiveBayes() - Constructor for class org.streaminer.stream.classifier.bayes.NaiveBayes: Create a new NaiveBayes instance.
NaiveBayes(String) - Constructor for class org.streaminer.stream.classifier.bayes.NaiveBayes: Create a new NaiveBayes instance which uses the specified attribute as label.
NaiveBayesWOP - Class in org.streaminer.stream.classifier.bayes: This class implements a NaiveBayes classifier.
NaiveBayesWOP() - Constructor for class org.streaminer.stream.classifier.bayes.NaiveBayesWOP: Create a new NaiveBayes instance.
NaiveBayesWOP(String) - Constructor for class org.streaminer.stream.classifier.bayes.NaiveBayesWOP: Create a new NaiveBayes instance which uses the specified attribute as label.
newArrayList(Iterable<T>) - Static method in class org.streaminer.util.Lists
newArrayList() - Static method in class org.streaminer.util.Lists
next() - Method in class org.streaminer.util.AbstractIterator
next() - Method in class org.streaminer.util.DoublyLinkedList.DoublyLinkedListIterator
next - Variable in class org.streaminer.util.ListNode2
nextDouble() - Method in class org.streaminer.util.distribution.ZipfDistribution
NodeDataPairs - Variable in class org.streaminer.stream.classifier.tree.HoeffdingTree: contains all current leafs and for each leaf the corresponding counters
NodeInfo - Interface in org.streaminer.stream.classifier.tree: This interface defines node information associated with data nodes in a graph or a tree.
NominalDistributionModel<T extends Serializable> - Class in org.streaminer.stream.model: This class implements a histogram-model observed from a data stream.
NominalDistributionModel() - Constructor for class org.streaminer.stream.model.NominalDistributionModel: Creates a new nominal distribution model with an infinite number of objects being tracked.
NominalDistributionModel(int) - Constructor for class org.streaminer.stream.model.NominalDistributionModel: Creates a new nominal distribution model.
Normalization - Class in org.streaminer.stream.mapper
Normalization() - Constructor for class org.streaminer.stream.mapper.Normalization
normalize(Double) - Method in class org.streaminer.stream.mapper.Normalization
normalize(Double) - Method in class org.streaminer.stream.model.NumericalDistributionModel
NumberUtil - Class in org.streaminer.util.math
NumberUtil() - Constructor for class org.streaminer.util.math.NumberUtil
numerator - Variable in class org.streaminer.stream.classifier.tree.HoeffdingTree: the numerator of the fraction under the square root in the hoeffding bound (used for epsilon computation)
NumericalBinning - Class in org.streaminer.stream.mapper
NumericalBinning() - Constructor for class org.streaminer.stream.mapper.NumericalBinning
NumericalDistributionModel - Class in org.streaminer.stream.model: This class implements a histogram-model observed from a data stream.
NumericalDistributionModel(Integer, Double) - Constructor for class org.streaminer.stream.model.NumericalDistributionModel: Creates a new distribution model.
NumericTarget - Class in org.streaminer.stream.histogram.spdt
NumericTarget(Double, Double, double) - Constructor for class org.streaminer.stream.histogram.spdt.NumericTarget
NumericTarget(Double, double) - Constructor for class org.streaminer.stream.histogram.spdt.NumericTarget
NumericTarget(Double) - Constructor for class org.streaminer.stream.histogram.spdt.NumericTarget
numericToNominal(Collection<Comparable>, Comparable) - Static method in class org.streaminer.stream.classifier.tree.HoeffdingTree: Maps the specified numeric value to one of the specified nominal values.
Numeric and nominal values must be directly comparable.

O

obyCount(long) - Static method in class org.streaminer.stream.cardinality.AdaptiveCounting.Builder: For cardinalities less than 4.25M, obyCount provides a LinearCounting Builder (see LinearCounting.Builder.onePercentError() ) using only the space required to provide estimates within 1% of the actual cardinality, up to ~65k.
offer(Object) - Method in class org.streaminer.stream.cardinality.AdaptiveCounting
offer(Object) - Method in class org.streaminer.stream.cardinality.CountThenEstimate
offer(Object) - Method in class org.streaminer.stream.cardinality.HyperLogLog
offer(Object) - Method in class org.streaminer.stream.cardinality.HyperLogLogPlus: Add data to estimator based on the mode it is in
offer(Object) - Method in interface org.streaminer.stream.cardinality.ICardinality
offer(Object) - Method in class org.streaminer.stream.cardinality.LinearCounting
offer(Object) - Method in class org.streaminer.stream.cardinality.LogLog
offer(Long) - Method in class org.streaminer.stream.quantile.CKMSQuantiles: Add a new value from the stream.
offer(Double) - Method in class org.streaminer.stream.quantile.EnsembleQuantiles
offer(Double) - Method in class org.streaminer.stream.quantile.ExactQuantiles
offer(T) - Method in class org.streaminer.stream.quantile.ExactQuantilesAll
offer(Integer) - Method in class org.streaminer.stream.quantile.Frugal2U
offer(Double) - Method in class org.streaminer.stream.quantile.GKQuantiles
offer(T) - Method in interface org.streaminer.stream.quantile.IQuantiles
offer(Double) - Method in class org.streaminer.stream.quantile.MPQuantiles
offer(Long) - Method in class org.streaminer.stream.quantile.QDigest
offer(Double) - Method in class org.streaminer.stream.quantile.rss.RSSQuantiles
offer(Double) - Method in class org.streaminer.stream.quantile.SimpleQuantiles
offer(Double) - Method in class org.streaminer.stream.quantile.SumQuantiles
offer(Double) - Method in class org.streaminer.stream.quantile.TDigest
offer(Double) - Method in class org.streaminer.stream.quantile.WindowSketchQuantiles
offerHashed(long) - Method in class org.streaminer.stream.cardinality.CountThenEstimate
offerHashed(int) - Method in class org.streaminer.stream.cardinality.CountThenEstimate
offerHashed(long) - Method in class org.streaminer.stream.cardinality.HyperLogLog
offerHashed(int) - Method in class org.streaminer.stream.cardinality.HyperLogLog
offerHashed(long) - Method in class org.streaminer.stream.cardinality.HyperLogLogPlus
offerHashed(int) - Method in class org.streaminer.stream.cardinality.HyperLogLogPlus
offerHashed(long) - Method in interface org.streaminer.stream.cardinality.ICardinality: Offer the value as a hashed long value
offerHashed(int) - Method in interface org.streaminer.stream.cardinality.ICardinality: Offer the value as a hashed long value
offerHashed(long) - Method in class org.streaminer.stream.cardinality.LinearCounting
offerHashed(int) - Method in class org.streaminer.stream.cardinality.LinearCounting
offerHashed(long) - Method in class org.streaminer.stream.cardinality.LogLog
offerHashed(int) - Method in class org.streaminer.stream.cardinality.LogLog
offerReturnAll(T, long) - Method in class org.streaminer.stream.frequency.topk.StreamSummary
offerReturnDropped(T, int) - Method in class org.streaminer.stream.frequency.topk.StreamSummary
onePercentError(int) - Static method in class org.streaminer.stream.cardinality.LinearCounting.Builder: Returns a LinearCounting.Builder that generates an LC estimator which keeps estimates below 1% error on average and has a low likelihood of saturation (0.7%) for any stream with cardinality less than maxCardinality
onePercentErrorLength - Static variable in class org.streaminer.stream.cardinality.LinearCounting.Builder: Taken from Table II of Whang et al.
org.streaminer.stream.avg - package org.streaminer.stream.avg
org.streaminer.stream.cardinality - package org.streaminer.stream.cardinality
org.streaminer.stream.classifier - package org.streaminer.stream.classifier
org.streaminer.stream.classifier.bayes - package org.streaminer.stream.classifier.bayes
org.streaminer.stream.classifier.tree - package org.streaminer.stream.classifier.tree
org.streaminer.stream.clustering.birch - package org.streaminer.stream.clustering.birch
org.streaminer.stream.data - package org.streaminer.stream.data
org.streaminer.stream.eval - package org.streaminer.stream.eval
org.streaminer.stream.frequency - package org.streaminer.stream.frequency
org.streaminer.stream.frequency.topk - package org.streaminer.stream.frequency.topk
org.streaminer.stream.frequency.util - package org.streaminer.stream.frequency.util
org.streaminer.stream.histogram.spdt - package org.streaminer.stream.histogram.spdt
org.streaminer.stream.learner - package org.streaminer.stream.learner
org.streaminer.stream.mapper - package org.streaminer.stream.mapper
org.streaminer.stream.membership - package org.streaminer.stream.membership
org.streaminer.stream.model - package org.streaminer.stream.model
org.streaminer.stream.quantile - package org.streaminer.stream.quantile
org.streaminer.stream.quantile.rss - package org.streaminer.stream.quantile.rss
org.streaminer.stream.sampling - package org.streaminer.stream.sampling
org.streaminer.stream.sampling.gamma - package org.streaminer.stream.sampling.gamma
org.streaminer.util - package org.streaminer.util
org.streaminer.util.distance - package org.streaminer.util.distance
org.streaminer.util.distribution - package org.streaminer.util.distribution
org.streaminer.util.hash - package org.streaminer.util.hash
org.streaminer.util.hash.factory - package org.streaminer.util.hash.factory
org.streaminer.util.hash.function - package org.streaminer.util.hash.function
org.streaminer.util.math - package org.streaminer.util.math
output(int) - Method in class org.streaminer.stream.frequency.CCFCSketch

P

Pair<T1,T2> - Class in org.streaminer.util
Pair(T1, T2) - Constructor for class org.streaminer.util.Pair
parseDouble(String, Data) - Static method in class org.streaminer.stream.learner.LearnerUtils
peek(int) - Method in class org.streaminer.stream.frequency.BaseFrequency
peek(int, double) - Method in class org.streaminer.stream.frequency.BaseFrequency
peek(int) - Method in interface org.streaminer.stream.frequency.IRichFrequency: Get the k most frequent elements.
peek(int, double) - Method in interface org.streaminer.stream.frequency.IRichFrequency: Get the most frequent items, sorted in descending order of frequency.
peek(int) - Method in class org.streaminer.stream.frequency.topk.ConcurrentStreamSummary
peek(int) - Method in class org.streaminer.stream.frequency.topk.Frequent
peek(int) - Method in interface org.streaminer.stream.frequency.topk.ITopK: Get the k most frequent elements.
peek(int) - Method in class org.streaminer.stream.frequency.topk.StochasticTopper: Retrieve top k items
peek(int) - Method in class org.streaminer.stream.frequency.topk.StreamSummary
peek() - Method in interface org.streaminer.stream.frequency.util.ISampleSet
peek(int) - Method in interface org.streaminer.stream.frequency.util.ISampleSet
peek() - Method in class org.streaminer.stream.frequency.util.SampleSet
peek(int) - Method in class org.streaminer.stream.frequency.util.SampleSet
peekMin() - Method in class org.streaminer.stream.frequency.util.SampleSet
peekWithScores(int) - Method in class org.streaminer.stream.frequency.topk.ConcurrentStreamSummary
percentiles(Double...) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns a map of percentiles and their associated locations.
Perceptron - Class in org.streaminer.stream.classifier: Perceptron stream learner
Perceptron() - Constructor for class org.streaminer.stream.classifier.Perceptron
Perceptron(int) - Constructor for class org.streaminer.stream.classifier.Perceptron
Perceptron(int, double) - Constructor for class org.streaminer.stream.classifier.Perceptron
PowerOfTwo - Class in org.streaminer.util.math
PowerOfTwo() - Constructor for class org.streaminer.util.math.PowerOfTwo
Preconditions - Class in org.streaminer.util: Toy version of the guava class.
Preconditions() - Constructor for class org.streaminer.util.Preconditions
predict(D) - Method in class org.streaminer.stream.classifier.AbstractClassifier
predict(Data) - Method in class org.streaminer.stream.classifier.bayes.MultiBayes
predict(Data) - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes
predict(Data) - Method in class org.streaminer.stream.classifier.bayes.NaiveBayesWOP
predict(Data) - Method in class org.streaminer.stream.classifier.MajorityClass
predict(Data) - Method in class org.streaminer.stream.classifier.MultiRandomClassifier
predict(Data) - Method in class org.streaminer.stream.classifier.Perceptron
predict(Data) - Method in class org.streaminer.stream.classifier.RandomClassifier
predict(Data) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTreeModel: Returns the predicted class label for the specified example
predict(Data) - Method in class org.streaminer.stream.classifier.tree.ModelTree
predict(Data) - Method in class org.streaminer.stream.classifier.tree.RegressionTree
predict(Data) - Method in class org.streaminer.stream.classifier.tree.RegressionTreeModel
predict(Data) - Method in class org.streaminer.stream.classifier.tree.RTree
predict(D) - Method in class org.streaminer.stream.learner.AbstractRegressor
predict(Data) - Method in class org.streaminer.stream.model.HyperplaneModel: Calculates the distance for each example and delivers a label prediction.
predict(T) - Method in interface org.streaminer.stream.model.PredictionModel: This method returns a prediction for the given input.
PREDICTION_PREFIX - Static variable in interface org.streaminer.stream.data.Data: Attributes that refer to predicted values, i.e.
PredictionModel<T,R> - Interface in org.streaminer.stream.model: An output extension to the model interface which returns a prediction for a given input.
premain(String, Instrumentation) - Static method in class org.streaminer.util.SizeOf: Callback method used by the Java VM to inject the java.lang.instrument.Instrument instance
prev - Variable in class org.streaminer.util.ListNode2
Prime - Class in org.streaminer.util.math: Class for all prime-related methods.
PRIME_MODULUS - Static variable in class org.streaminer.stream.frequency.CountMinSketchAlt
print(int) - Method in class org.streaminer.stream.quantile.GroupTree
printCFTree() - Method in class org.streaminer.stream.clustering.birch.CFTree: prints the CFTree
printLeafEntries() - Method in class org.streaminer.stream.clustering.birch.CFTree: Prints the index of the pattern vectors in each leaf entry (i.e., each subcluster)
printLeafIndexes() - Method in class org.streaminer.stream.clustering.birch.CFTree: Prints the index of all the pattern vectors that fall into the leaf nodes.
prob(T) - Method in interface org.streaminer.stream.model.Distribution: Computes the empirical probability of the given value, i.e.
prob(T) - Method in class org.streaminer.stream.model.NominalDistributionModel
prob(Double) - Method in class org.streaminer.stream.model.NumericalDistributionModel
prob(T) - Method in class org.streaminer.stream.model.StreamDistribution
process(double) - Method in class org.streaminer.stream.quantile.rss.Bucket: This method adds the item to all of its subsetTrees
promote(SampleSet<T>.Node<T>) - Method in class org.streaminer.stream.frequency.util.SampleSet
put(T) - Method in interface org.streaminer.stream.frequency.util.ISampleSet
put(T, long) - Method in interface org.streaminer.stream.frequency.util.ISampleSet
put(T) - Method in class org.streaminer.stream.frequency.util.SampleSet
put(T, long) - Method in class org.streaminer.stream.frequency.util.SampleSet
put(T) - Method in interface org.streaminer.stream.sampling.ISampler
put(T...) - Method in interface org.streaminer.stream.sampling.ISampler
put(T) - Method in class org.streaminer.stream.sampling.ReservoirSampler
put(T...) - Method in class org.streaminer.stream.sampling.ReservoirSampler

Q

QDigest - Class in org.streaminer.stream.quantile: Q-Digest datastructure.
QDigest(double) - Constructor for class org.streaminer.stream.quantile.QDigest
qualityCriterion - Variable in class org.streaminer.stream.classifier.tree.HoeffdingTree: the chosen QualityCriterion
QualityCriterion - Interface in org.streaminer.stream.classifier.tree: Interface to define a quality criterion to be used to construct the tree.
QualityCriterion.EntropyCriterion - Class in org.streaminer.stream.classifier.tree: The QualityCriterion 'entropy' or 'information (gain)' as used by ID3
QualityCriterion.EntropyCriterion() - Constructor for class org.streaminer.stream.classifier.tree.QualityCriterion.EntropyCriterion
QualityCriterion.GiniCriterion - Class in org.streaminer.stream.classifier.tree: The QualityCriterion 'Gini-Index' as used by CART
QualityCriterion.GiniCriterion() - Constructor for class org.streaminer.stream.classifier.tree.QualityCriterion.GiniCriterion
quantile - Variable in class org.streaminer.stream.quantile.CKMSQuantiles.Quantile
quantile(double) - Method in class org.streaminer.stream.quantile.TDigest
QuantilesException - Exception in org.streaminer.stream.quantile
QuantilesException() - Constructor for exception org.streaminer.stream.quantile.QuantilesException: Creates a new instance of QuantilesException without detail message.
QuantilesException(String) - Constructor for exception org.streaminer.stream.quantile.QuantilesException: Constructs an instance of QuantilesException with the specified detail message.
QuotedStringTokenizer - Class in org.streaminer.util: This class implements a split-method which takes care of quoted strings, i.e.
QuotedStringTokenizer() - Constructor for class org.streaminer.util.QuotedStringTokenizer

R

R - Class in org.streaminer.stream.sampling.gamma: The simplest skip function.
R(int) - Constructor for class org.streaminer.stream.sampling.gamma.R
Radius - Class in org.streaminer.util.distance
Radius() - Constructor for class org.streaminer.util.distance.Radius
RandomClassifier - Class in org.streaminer.stream.classifier: This classifier predicts a random class.
RandomClassifier() - Constructor for class org.streaminer.stream.classifier.RandomClassifier
Range - Class in org.streaminer.stream.classifier.tree
Range(Double, Double) - Constructor for class org.streaminer.stream.classifier.tree.Range
readExternal(ObjectInput) - Method in class org.streaminer.stream.cardinality.CountThenEstimate
readExternal(ObjectInput) - Method in class org.streaminer.stream.frequency.util.Counter
readSignedVarInt(DataInput) - Static method in class org.streaminer.util.Varint
readSignedVarInt(byte[]) - Static method in class org.streaminer.util.Varint
readSignedVarLong(DataInput) - Static method in class org.streaminer.util.Varint
readUnsignedVarInt(DataInput) - Static method in class org.streaminer.util.Varint
readUnsignedVarInt(byte[]) - Static method in class org.streaminer.util.Varint
readUnsignedVarLong(DataInput) - Static method in class org.streaminer.util.Varint
RealCounting<T> - Class in org.streaminer.stream.frequency: A naive counter implementation.
RealCounting() - Constructor for class org.streaminer.stream.frequency.RealCounting
RealCounting(double) - Constructor for class org.streaminer.stream.frequency.RealCounting
RealCounting(int) - Constructor for class org.streaminer.stream.frequency.RealCounting
RealCounting(double, int) - Constructor for class org.streaminer.stream.frequency.RealCounting
rebuildTree(int, double, int, boolean, boolean) - Method in class org.streaminer.stream.clustering.birch.CFTree: This implementation of the rebuilding algorithm is different from the one described in Section 4.5 of the paper.
recordAllData() - Method in class org.streaminer.stream.quantile.TDigest: Sets up so that all centroids will record all data assigned to them.
redistributeEntries(ArrayList<CFEntry>, CFEntryPair, CFEntry, CFEntry) - Method in class org.streaminer.stream.clustering.birch.CFNode: Called when splitting is necessary
redistributeEntries(ArrayList<CFEntry>, ArrayList<CFEntry>, CFEntryPair, CFEntry, CFEntry) - Method in class org.streaminer.stream.clustering.birch.CFNode: Called when "merging refinement" is attempted but no actual merging can be applied
redistributeEntries(ArrayList<CFEntry>, ArrayList<CFEntry>, CFEntry) - Method in class org.streaminer.stream.clustering.birch.CFNode: Called when "merging refinement" is attempted and two entries are actually merged
REGISTER_SIZE - Static variable in class org.streaminer.stream.cardinality.RegisterSet
RegisterSet - Class in org.streaminer.stream.cardinality
RegisterSet(int) - Constructor for class org.streaminer.stream.cardinality.RegisterSet
RegisterSet(int, int[]) - Constructor for class org.streaminer.stream.cardinality.RegisterSet
RegressionTree - Class in org.streaminer.stream.classifier.tree: This class implements a regression tree.
RegressionTree(Double, Regressor<Data>) - Constructor for class org.streaminer.stream.classifier.tree.RegressionTree
RegressionTreeModel - Class in org.streaminer.stream.classifier.tree: This class implements a regression tree model.
RegressionTreeModel(Regressor<Data>) - Constructor for class org.streaminer.stream.classifier.tree.RegressionTreeModel: constructs new regression model
RegressionTreeNode - Class in org.streaminer.stream.classifier.tree
RegressionTreeNode() - Constructor for class org.streaminer.stream.classifier.tree.RegressionTreeNode
RegressionTreeStatistics - Class in org.streaminer.stream.classifier.tree: This class implements a container for statistics that need to be maintained for each node in a regression-tree.
RegressionTreeStatistics() - Constructor for class org.streaminer.stream.classifier.tree.RegressionTreeStatistics
Regressor<D> - Interface in org.streaminer.stream.learner: A regressor is a classifier with the target variable being a real value.
remove(TDigest.Group) - Method in class org.streaminer.stream.quantile.GroupTree
remove() - Method in class org.streaminer.util.AbstractIterator
remove() - Method in class org.streaminer.util.DoublyLinkedList.DoublyLinkedListIterator
remove(ListNode2<T>) - Method in class org.streaminer.util.DoublyLinkedList
removeMin() - Method in class org.streaminer.stream.frequency.util.SampleSet
removeRandom() - Method in interface org.streaminer.stream.frequency.util.ISampleSet
removeRandom() - Method in class org.streaminer.stream.frequency.util.SampleSet
REPLACE_MOST_DISSIMILAR_MODEL - Static variable in class org.streaminer.stream.quantile.EnsembleQuantiles: Use this String at EnsembleQuantiles.setUpdateMode(String) for replacing the most dissimilar model compared to the new model.
REPLACE_OLDEST_MODEL - Static variable in class org.streaminer.stream.quantile.EnsembleQuantiles: Use this String at EnsembleQuantiles.setUpdateMode(String) for always replacing the oldest model with a new model.
REPLACE_RANDOM_MODEL - Static variable in class org.streaminer.stream.quantile.EnsembleQuantiles: Use this String at EnsembleQuantiles.setUpdateMode(String) for replacing a random model.
REPLACE_SAMPLED_MOST_DISSIMILAR_MODEL - Static variable in class org.streaminer.stream.quantile.EnsembleQuantiles: Use this String at EnsembleQuantiles.setUpdateMode(String) for using a sample of the stream to determine which model of the ensemble will be replaced.
requiresSplit(ChernoffStatistics) - Method in class org.streaminer.stream.classifier.tree.ChernoffSplitCriterion
requiresSplit(S) - Method in interface org.streaminer.stream.classifier.tree.SplitCriterion: Uses the given statistics to computes whether a split is required/supported or not.
RESERVOIR_THRESHOLD - Static variable in class org.streaminer.stream.histogram.spdt.Histogram
ReservoirSampler<T> - Class in org.streaminer.stream.sampling: Default reservoir implementation.
ReservoirSampler(int, GammaFunction) - Constructor for class org.streaminer.stream.sampling.ReservoirSampler
reset(byte[], int) - Method in class org.streaminer.stream.membership.DataInputBuffer: Resets the data that the buffer reads.
reset(byte[], int, int) - Method in class org.streaminer.stream.membership.DataInputBuffer: Resets the data that the buffer reads.
reset() - Method in class org.streaminer.stream.membership.DataOutputBuffer: Resets the buffer to empty.
returnFirstDouble(Map<String, ?>) - Method in class org.streaminer.stream.mapper.ExtractDouble
rho(long, int) - Static method in class org.streaminer.stream.cardinality.AdaptiveCounting: Computes the position of the first set bit of the last Long.SIZE-k bits
rho(int, int) - Static method in class org.streaminer.stream.cardinality.LogLog: Computes the position of the first set bit of the last Integer.SIZE-k bits
right - Variable in class org.streaminer.util.Pair
roundNumber(Number, DecimalFormat) - Static method in class org.streaminer.util.math.NumberUtil
RSSQuantiles - Class in org.streaminer.stream.quantile.rss: A stream version of the rss technique presented by Anna Gilbert, Yannis Kotidis, S.
RSSQuantiles(float, float, int) - Constructor for class org.streaminer.stream.quantile.rss.RSSQuantiles: The constructor invokes all data-structure creation
Rsum - Variable in class org.streaminer.stream.cardinality.LogLog
RTree - Class in org.streaminer.stream.classifier.tree
RTree(String, TreeNode<RegressionTreeStatistics>) - Constructor for class org.streaminer.stream.classifier.tree.RTree
RTreeStatistics - Class in org.streaminer.stream.classifier.tree: This class implements a container for statistics that need to be maintained for each node in a regression-tree.
RTreeStatistics(Double) - Constructor for class org.streaminer.stream.classifier.tree.RTreeStatistics

S

s - Variable in class org.streaminer.stream.frequency.CountSketch: Hashfunctions which determine the value which will be added.
sample - Variable in class org.streaminer.stream.quantile.CKMSQuantiles: Current list of sampled items, maintained in sorted order with error bounds.
SampleSet<T> - Class in org.streaminer.stream.frequency.util
SampleSet() - Constructor for class org.streaminer.stream.frequency.util.SampleSet
SampleSet(int) - Constructor for class org.streaminer.stream.frequency.util.SampleSet
SampleSet(int, Random) - Constructor for class org.streaminer.stream.frequency.util.SampleSet
SampleSet.Node<E> - Class in org.streaminer.stream.frequency.util
SampleSet.Node() - Constructor for class org.streaminer.stream.frequency.util.SampleSet.Node
ScoredItem<T> - Class in org.streaminer.stream.frequency.util
ScoredItem(T, long, long) - Constructor for class org.streaminer.stream.frequency.util.ScoredItem
ScoredItem(T, long) - Constructor for class org.streaminer.stream.frequency.util.ScoredItem
SelectFeaturesMapper - Class in org.streaminer.stream.mapper
SelectFeaturesMapper(Collection<String>) - Constructor for class org.streaminer.stream.mapper.SelectFeaturesMapper
SelectiveDescriptionModel<T,R> - Interface in org.streaminer.stream.model: An output extension to the model interface which returns a a description of the data.
serialize(CountMinSketchAlt) - Static method in class org.streaminer.stream.frequency.CountMinSketchAlt
serialize(BitSet, DataOutputStream) - Static method in class org.streaminer.stream.membership.BitSetSerializer
serialize(BloomFilter) - Static method in class org.streaminer.stream.membership.BloomFilter
serialize(T, DataOutputStream) - Method in interface org.streaminer.stream.membership.ICompactSerializer: Serialize the specified type into the specified DataOutputStream instance.
serialize(QDigest) - Static method in class org.streaminer.stream.quantile.QDigest
serializer() - Static method in class org.streaminer.stream.membership.BloomFilter
set(int, int) - Method in class org.streaminer.stream.cardinality.RegisterSet
setAutomaticRebuild(boolean) - Method in class org.streaminer.stream.clustering.birch.CFTree
setBias(double) - Method in class org.streaminer.stream.model.HyperplaneModel
setBins(Integer) - Method in class org.streaminer.stream.mapper.NumericalBinning
setBucketNode(ListNode2<StreamSummary<T>.Bucket>) - Method in class org.streaminer.stream.frequency.util.Counter
setChild(CFNode) - Method in class org.streaminer.stream.clustering.birch.CFEntry
setChildren(List<TreeNode>) - Method in class org.streaminer.stream.classifier.tree.TreeNode
setChunkSize(Integer) - Method in class org.streaminer.stream.quantile.EnsembleQuantiles: Resets the size of a single chunk.
setConfidenceGap(Double) - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes
setCount(long) - Method in class org.streaminer.stream.frequency.util.Counter
setCounter(IRichFrequency<T>) - Method in class org.streaminer.stream.model.StreamDistribution
setDefaultMinSupport(double) - Method in class org.streaminer.stream.frequency.BaseFrequency
setDelta(Double) - Method in class org.streaminer.stream.classifier.tree.ChernoffSplitCriterion
setElementsPerBucket(int) - Method in class org.streaminer.stream.quantile.rss.RSSQuantiles
setEnsembleSize(Integer) - Method in class org.streaminer.stream.quantile.EnsembleQuantiles: Resets the maximum number of chunks in the ensemble.
setEpsilon(Double) - Method in class org.streaminer.stream.classifier.bayes.LossyBayes
setEpsilon(Double) - Method in class org.streaminer.stream.classifier.bayes.MultiLossyBayes
setEpsilon(Double) - Method in class org.streaminer.stream.quantile.EnsembleQuantiles
setEpsilon(double) - Method in class org.streaminer.stream.quantile.GKQuantiles
setError(Double) - Method in class org.streaminer.stream.classifier.bayes.StickySamplingBayes
setError(long) - Method in class org.streaminer.stream.frequency.util.Counter
setError(long) - Method in class org.streaminer.stream.frequency.util.ScoredItem
setExclude(String) - Method in class org.streaminer.stream.mapper.AttributeFilter
setFeature(String) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTreeNode: Declares this node to be a split on the specified feature.
setFrequency(long) - Method in class org.streaminer.stream.frequency.util.CountEntry
setInclude(String) - Method in class org.streaminer.stream.mapper.AttributeFilter
setInclude(String) - Method in class org.streaminer.stream.mapper.NumericalBinning
setIndexMap(Map<Object, Integer>) - Method in class org.streaminer.stream.histogram.spdt.ArrayCategoricalTarget
setItem(T) - Method in class org.streaminer.stream.frequency.util.CountEntry
setItem(T) - Method in class org.streaminer.stream.frequency.util.Counter
setK(Integer) - Method in class org.streaminer.stream.classifier.bayes.MultiTopkBayes
setK(Integer) - Method in class org.streaminer.stream.classifier.bayes.TopKBayes
setLabel(Serializable) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTreeNode: Sets the label for this node.
setLabelAttribute(String) - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes
setLabelAttribute(String) - Method in class org.streaminer.stream.classifier.bayes.NaiveBayesWOP
setLabelAttribute(String) - Method in class org.streaminer.stream.classifier.MajorityClass
setLabelAttribute(String) - Method in class org.streaminer.stream.classifier.Perceptron
setLabelAttribute(String) - Method in class org.streaminer.stream.classifier.RandomClassifier
setLabelAttribute(String) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree
setLabelAttributes(String) - Method in class org.streaminer.stream.classifier.AbstractMultiClassifier
setLabelAttributes(String) - Method in class org.streaminer.stream.classifier.MultiRandomClassifier
setLaplaceCorrection(Double) - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes
setLaplaceCorrection(Double) - Method in class org.streaminer.stream.classifier.bayes.NaiveBayesWOP
setLeafStatus(boolean) - Method in class org.streaminer.stream.clustering.birch.CFNode
setLearnRate(Double) - Method in class org.streaminer.stream.classifier.Perceptron
setLeft(BinaryTreeNode<I, V>) - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode
setLeftChild(RegressionTreeNode) - Method in class org.streaminer.stream.classifier.tree.InnerNode: sets new left child of this node
setLimit(Integer) - Method in class org.streaminer.stream.classifier.bayes.BoundedBayes: This limit determines the maximum number of elements which will be counted in the distributions.
setLogOutputStream(OutputStream) - Static method in class org.streaminer.util.SizeOf: Sets the OutputStream to use for logging.
setMaxBucketCount(int) - Method in class org.streaminer.stream.quantile.rss.RSSQuantiles
setMaximum(Double) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Sets the maximum input value for the histogram.
setMaximum(Double) - Method in class org.streaminer.stream.mapper.Normalization
setMaximum(Double) - Method in class org.streaminer.stream.mapper.NumericalBinning
setMemoryLimit(long) - Method in class org.streaminer.stream.clustering.birch.CFTree
setMemoryLimitMB(long) - Method in class org.streaminer.stream.clustering.birch.CFTree
setMinimum(Double) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Sets the minimum input value for the histogram.
setMinimum(Double) - Method in class org.streaminer.stream.mapper.Normalization
setMinimum(Double) - Method in class org.streaminer.stream.mapper.NumericalBinning
setMinSizeToLog(long) - Static method in class org.streaminer.util.SizeOf: The objects processed by deepSizeOf are logged to the log output stream if their size (in byte) is greater than this value.
setModel(Classifier<Data, O>) - Method in class org.streaminer.stream.classifier.tree.ModelTree
setName(String) - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode
setName(String) - Method in class org.streaminer.stream.classifier.tree.TreeNode
setNew(String) - Method in class org.streaminer.stream.mapper.KeyMapper
setNewItem(boolean) - Method in class org.streaminer.stream.frequency.util.ScoredItem
setNextLeaf(CFNode) - Method in class org.streaminer.stream.clustering.birch.CFNode
setNodeInfo(I) - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode: Sets the node information to be associated with this node.
setNodeInfo(I) - Method in class org.streaminer.stream.classifier.tree.TreeNode: Sets the node information to be associated with this node.
setOld(String) - Method in class org.streaminer.stream.mapper.KeyMapper
setParameters(Map<String, Object>) - Method in interface org.streaminer.stream.classifier.tree.LinearRegression
setParent(BinaryTreeNode<I, V>) - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode
setParent(RegressionTreeNode) - Method in class org.streaminer.stream.classifier.tree.LeafNode: sets the parent node of this node
setParent(TreeNode) - Method in class org.streaminer.stream.classifier.tree.TreeNode
setPeriodicMemLimitCheck(long) - Method in class org.streaminer.stream.clustering.birch.CFTree
setPreviousLeaf(CFNode) - Method in class org.streaminer.stream.clustering.birch.CFNode
setProbabilityOfFailure(Double) - Method in class org.streaminer.stream.classifier.bayes.StickySamplingBayes
setRight(BinaryTreeNode<I, V>) - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode
setRightChild(RegressionTreeNode) - Method in class org.streaminer.stream.classifier.tree.InnerNode: sets new right child of this node
setRoot(RegressionTreeNode) - Method in class org.streaminer.stream.classifier.tree.RegressionTreeModel: sets root element of regression tree
setSampleRatio(Double) - Method in class org.streaminer.stream.quantile.EnsembleQuantiles: Specify a Double value to set the sampling rate.
setSimilarityMeasure(String) - Method in class org.streaminer.stream.quantile.EnsembleQuantiles
setSubclusterID(int) - Method in class org.streaminer.stream.clustering.birch.CFEntry
setSupport(Double) - Method in class org.streaminer.stream.classifier.bayes.StickySamplingBayes
setUpdateMode(String) - Method in class org.streaminer.stream.quantile.EnsembleQuantiles: Use this method to change the default kind of update (i.e.
setValue(V) - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode
setValue(Serializable) - Method in class org.streaminer.stream.classifier.tree.RTreeStatistics
setValue(Object) - Method in class org.streaminer.stream.classifier.tree.TreeNode
setValue(T) - Method in class org.streaminer.util.ListNode2
setWeights(Map<String, Double>) - Method in class org.streaminer.stream.model.HyperplaneModel
setWindowSize(int) - Method in class org.streaminer.stream.quantile.WindowSketchQuantiles: By default the window size is set to 32768.
setWop(Boolean) - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes
SimpleEWMA - Class in org.streaminer.stream.avg: A SimpleEWMA represents the exponentially weighted moving average of a series of numbers.
SimpleEWMA() - Constructor for class org.streaminer.stream.avg.SimpleEWMA
SimpleHashFactory<T> - Class in org.streaminer.util.hash.factory
SimpleHashFactory() - Constructor for class org.streaminer.util.hash.factory.SimpleHashFactory
SimpleHashFunction<T> - Class in org.streaminer.util.hash.function
SimpleHashFunction(long) - Constructor for class org.streaminer.util.hash.function.SimpleHashFunction
SimpleQuantiles - Class in org.streaminer.stream.quantile: This implementation computes approximate phi-quantiles that differ at most epsilon*N ranks from the element that is the real quantile.
SimpleQuantiles(double) - Constructor for class org.streaminer.stream.quantile.SimpleQuantiles: Standard constructor...
SimpleTarget - Class in org.streaminer.stream.histogram.spdt
SimpleTopKCounting<T> - Class in org.streaminer.stream.frequency: This is a simple implementation of a stream-counting model.
SimpleTopKCounting(int) - Constructor for class org.streaminer.stream.frequency.SimpleTopKCounting: This initially creates a counting model for streams.
size - Variable in class org.streaminer.stream.cardinality.LinearCounting.Builder
size - Variable in class org.streaminer.stream.cardinality.RegisterSet
size() - Method in class org.streaminer.stream.clustering.birch.CFNode
size() - Method in class org.streaminer.stream.frequency.AMSSketch
size() - Method in class org.streaminer.stream.frequency.CCFCSketch
size() - Method in class org.streaminer.stream.frequency.CountMinSketchAlt
size() - Method in class org.streaminer.stream.frequency.CountSketch
size() - Method in interface org.streaminer.stream.frequency.IBaseFrequency
size() - Method in class org.streaminer.stream.frequency.LossyCounting
size() - Method in class org.streaminer.stream.frequency.Majority
size() - Method in class org.streaminer.stream.frequency.MisraGries
size() - Method in class org.streaminer.stream.frequency.RealCounting
size() - Method in class org.streaminer.stream.frequency.SimpleTopKCounting
size() - Method in class org.streaminer.stream.frequency.SpaceSaving
size() - Method in class org.streaminer.stream.frequency.StickySampling
size() - Method in class org.streaminer.stream.frequency.topk.ConcurrentStreamSummary
size() - Method in class org.streaminer.stream.frequency.topk.Frequent
size() - Method in class org.streaminer.stream.frequency.topk.StochasticTopper
size() - Method in class org.streaminer.stream.frequency.topk.StreamSummary
size() - Method in interface org.streaminer.stream.frequency.util.ISampleSet
size() - Method in class org.streaminer.stream.frequency.util.SampleSet
size() - Method in class org.streaminer.stream.quantile.GroupTree
size() - Method in class org.streaminer.stream.quantile.TDigest: Returns the number of samples represented in this histogram.
size - Variable in class org.streaminer.util.DoublyLinkedList
size() - Method in class org.streaminer.util.DoublyLinkedList
sizeof() - Method in class org.streaminer.stream.cardinality.AdaptiveCounting.Builder
sizeof() - Method in class org.streaminer.stream.cardinality.CountThenEstimate
sizeof() - Method in class org.streaminer.stream.cardinality.HyperLogLog.Builder
sizeof() - Method in class org.streaminer.stream.cardinality.HyperLogLog
sizeof() - Method in class org.streaminer.stream.cardinality.HyperLogLogPlus.Builder
sizeof() - Method in class org.streaminer.stream.cardinality.HyperLogLogPlus
sizeof() - Method in interface org.streaminer.stream.cardinality.ICardinality
sizeof() - Method in class org.streaminer.stream.cardinality.LinearCounting.Builder
sizeof() - Method in class org.streaminer.stream.cardinality.LinearCounting
sizeof() - Method in class org.streaminer.stream.cardinality.LogLog.Builder
sizeof() - Method in class org.streaminer.stream.cardinality.LogLog
sizeof() - Method in interface org.streaminer.util.IBuilder
SizeOf - Class in org.streaminer.util: A simple implementation of C++ keyword sizeof for Java 5+
SizeOf() - Constructor for class org.streaminer.util.SizeOf
sizeOf(Object) - Static method in class org.streaminer.util.SizeOf: Calls java.lang.instrument.Instrument.getObjectSize(object).
skipFinalField(boolean) - Static method in class org.streaminer.util.SizeOf: If true deepSizeOf() doesn't compute the final fields of an object.
skipFlyweightObject(boolean) - Static method in class org.streaminer.util.SizeOf: If true flyweight objects has a size of 0.
skipStaticField(boolean) - Static method in class org.streaminer.util.SizeOf: If true deepSizeOf() doesn't compute the static fields of an object.
slideWindow(Integer) - Method in class org.streaminer.stream.model.SlidingWindow: Moves the window a given number of positions.
slideWindowByOnePosition() - Method in class org.streaminer.stream.model.SlidingWindow: Just moves the border of the window by one position.
SlidingWindow<T> - Class in org.streaminer.stream.model: This class offers a easy to use sliding window implementation.
SlidingWindow(Integer) - Constructor for class org.streaminer.stream.model.SlidingWindow: The window size is fixed after initiating an instance of SlidingWindow
SMALL_ENCODING - Static variable in class org.streaminer.stream.quantile.TDigest
smallByteSize() - Method in class org.streaminer.stream.quantile.TDigest: Returns an upper bound on the number of bytes that will be required to represent this histogram in the tighter representation.
sortEncodedSet(int[], int) - Method in class org.streaminer.stream.cardinality.HyperLogLogPlus
SpaceSaving<T> - Class in org.streaminer.stream.frequency: Implementation of the Space-Saving algorithm described in the paper "Efficient Computation of Frequent and Top-k Elements in Data Streams" written by 'Ahmed Metwally', 'Divyakant Agrawal' and 'Amr El Abbadi'
SpaceSaving(int, double, double) - Constructor for class org.streaminer.stream.frequency.SpaceSaving: Creates a new instance of SpaceSaving
SPECIAL_PREFIX - Static variable in interface org.streaminer.stream.data.Data: attributes starting with this prefix are considered special and will not be regarded for training classifiers
split(String) - Method in class org.streaminer.stream.classifier.AbstractMultiClassifier: A simple convenience method to split a string by comma.
SplitCriterion<S> - Interface in org.streaminer.stream.classifier.tree: This interface defines the split criterion for a decision tree.
splitEntry(CFEntry) - Method in class org.streaminer.stream.clustering.birch.CFNode
splitRespectQuotes(String, char) - Static method in class org.streaminer.util.QuotedStringTokenizer
SquaredDistance - Class in org.streaminer.util.distance: This class gives some static methods concerning squared distance of vectors.
SquaredDistance() - Constructor for class org.streaminer.util.distance.SquaredDistance
StickySampling<T> - Class in org.streaminer.stream.frequency: Implementation of the "Sticky Sampling" algorithm as described in the paper "Approximate Frequency Counts over Data Streams" written by Gurmeet Singh Manku and Rajeev Motwani
StickySampling(double, double, double) - Constructor for class org.streaminer.stream.frequency.StickySampling: Creates a new instance of StickySampling.
StickySamplingBayes - Class in org.streaminer.stream.classifier.bayes: This class extends the NaiveBayes implementation but overrides the methods which are responsible for creating the distribution estimators.
StickySamplingBayes() - Constructor for class org.streaminer.stream.classifier.bayes.StickySamplingBayes
StochasticTopper<T> - Class in org.streaminer.stream.frequency.topk: Estimates most frequently occurring items in a data stream using a bounded amount of memory.
StochasticTopper(int) - Constructor for class org.streaminer.stream.frequency.topk.StochasticTopper
StochasticTopper(int, Long) - Constructor for class org.streaminer.stream.frequency.topk.StochasticTopper
StreamDistribution<T extends Serializable> - Class in org.streaminer.stream.model: This class is a wrapper implementation and provides the adaption of different stream counting algorithms to be used as approximations to distributions of nominal attributes.
StreamDistribution() - Constructor for class org.streaminer.stream.model.StreamDistribution
StreamDistribution(IRichFrequency<T>) - Constructor for class org.streaminer.stream.model.StreamDistribution
StreamSummary<T> - Class in org.streaminer.stream.frequency.topk: Based on the Space-Saving algorithm and the Stream-Summary data structure as described in: Efficient Computation of Frequent and Top-k Elements in Data Streams by Metwally, Agrawal, and Abbadi
StreamSummary() - Constructor for class org.streaminer.stream.frequency.topk.StreamSummary: For de-serialization
StreamSummary(int) - Constructor for class org.streaminer.stream.frequency.topk.StreamSummary
StreamSummary.Bucket - Class in org.streaminer.stream.frequency.topk
StreamSummary.Bucket(long) - Constructor for class org.streaminer.stream.frequency.topk.StreamSummary.Bucket
Subset - Class in org.streaminer.stream.quantile.rss: This class is part of the rss algorithm.
Subset(int, int) - Constructor for class org.streaminer.stream.quantile.rss.Subset: The constructor calculates needed interval count, and selects intervals randomly
SubsetTree - Class in org.streaminer.stream.quantile.rss: This class represents a dyadic tree of Subset , it also manages them.
SubsetTree(float, float, int) - Constructor for class org.streaminer.stream.quantile.rss.SubsetTree: constructor
subtract(AMSSketch) - Method in class org.streaminer.stream.frequency.AMSSketch
sum(ArrayCategoricalTarget) - Method in class org.streaminer.stream.histogram.spdt.ArrayCategoricalTarget
sum(GroupTarget) - Method in class org.streaminer.stream.histogram.spdt.GroupTarget
sum(double) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns the approximate number of points less than p.
sum(MapCategoricalTarget) - Method in class org.streaminer.stream.histogram.spdt.MapCategoricalTarget
sum(NumericTarget) - Method in class org.streaminer.stream.histogram.spdt.NumericTarget
sum(SimpleTarget) - Method in class org.streaminer.stream.histogram.spdt.SimpleTarget
sum(T) - Method in class org.streaminer.stream.histogram.spdt.Target
sum() - Method in class org.streaminer.stream.quantile.GroupTree
SumOutOfRangeException - Exception in org.streaminer.stream.histogram.spdt
SumOutOfRangeException(String) - Constructor for exception org.streaminer.stream.histogram.spdt.SumOutOfRangeException
SumQuantiles - Class in org.streaminer.stream.quantile
SumQuantiles(int, int) - Constructor for class org.streaminer.stream.quantile.SumQuantiles
SumResult<T extends Target> - Class in org.streaminer.stream.histogram.spdt
SumResult(double, T) - Constructor for class org.streaminer.stream.histogram.spdt.SumResult
sumUpdate(Bin) - Method in class org.streaminer.stream.histogram.spdt.Bin
swap(int[], int, int) - Static method in class org.streaminer.util.ArrayUtils
swap(long[], int, int) - Static method in class org.streaminer.util.ArrayUtils

T

TableOfConfusion - Class in org.streaminer.stream.eval: A data structure for computation of statistical values based on a 2x2 confusion matrix.
TableOfConfusion() - Constructor for class org.streaminer.stream.eval.TableOfConfusion
tail - Variable in class org.streaminer.util.DoublyLinkedList
tail() - Method in class org.streaminer.util.DoublyLinkedList
tailSet(TDigest.Group) - Method in class org.streaminer.stream.quantile.GroupTree
TARGET - Static variable in class org.streaminer.stream.histogram.spdt.SimpleTarget
Target<T extends Target> - Class in org.streaminer.stream.histogram.spdt
Target() - Constructor for class org.streaminer.stream.histogram.spdt.Target
TDigest - Class in org.streaminer.stream.quantile: Adaptive histogram based on something like streaming k-means crossed with Q-digest.
TDigest(double) - Constructor for class org.streaminer.stream.quantile.TDigest: A histogram structure that will record a sketch of a distribution.
TDigest(double, Random) - Constructor for class org.streaminer.stream.quantile.TDigest
TDigest.Group - Class in org.streaminer.stream.quantile
TDigest.Group(double) - Constructor for class org.streaminer.stream.quantile.TDigest.Group
TDigest.Group(double, int) - Constructor for class org.streaminer.stream.quantile.TDigest.Group
TDigest.Group(double, int, boolean) - Constructor for class org.streaminer.stream.quantile.TDigest.Group
tipped - Variable in class org.streaminer.stream.cardinality.CountThenEstimate: True after switching to estimation
tipped() - Method in class org.streaminer.stream.cardinality.CountThenEstimate
tippingPoint - Variable in class org.streaminer.stream.cardinality.CountThenEstimate: Cardinality after which exact counting gives way to estimation
toArray() - Method in class org.streaminer.util.DoublyLinkedList
toAscRanges() - Method in class org.streaminer.stream.quantile.QDigest
toBytes(Externalizable) - Static method in class org.streaminer.util.ExternalizableUtil
toHtml() - Method in class org.streaminer.stream.eval.ConfusionMatrix
toJSON(DecimalFormat) - Method in class org.streaminer.stream.histogram.spdt.Bin
toJSON(DecimalFormat) - Method in class org.streaminer.stream.histogram.spdt.Histogram
toJSON(DecimalFormat) - Method in class org.streaminer.stream.histogram.spdt.SumResult
toJSONString(DecimalFormat) - Method in class org.streaminer.stream.histogram.spdt.Histogram
topItems - Variable in class org.streaminer.stream.frequency.CountSketch: Map for the top-k-algorithm.
topK(int) - Method in class org.streaminer.stream.frequency.topk.StreamSummary
TopKBayes - Class in org.streaminer.stream.classifier.bayes
TopKBayes() - Constructor for class org.streaminer.stream.classifier.bayes.TopKBayes
toString(int) - Method in class org.streaminer.stream.classifier.tree.BinaryTreeNode
toString() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTree.NodeData: Constructs a String representing the subtree beginning at the corresponding node
toString() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTreeModel: Returns a string representation of the current tree
toString() - Method in class org.streaminer.stream.classifier.tree.HoeffdingTreeNode: Returns a string representation of the subtree beginning at this node.
toString(int) - Method in class org.streaminer.stream.classifier.tree.HoeffdingTreeNode: Returns a string representation of the subtree beginning at this node.
toString(int) - Method in class org.streaminer.stream.classifier.tree.InnerNode
toString(int) - Method in class org.streaminer.stream.classifier.tree.LeafNode
toString() - Method in class org.streaminer.stream.classifier.tree.QualityCriterion.EntropyCriterion: Returns the name of this quality criterion
toString() - Method in class org.streaminer.stream.classifier.tree.QualityCriterion.GiniCriterion: Returns the name of this quality criterion
toString() - Method in interface org.streaminer.stream.classifier.tree.QualityCriterion: Returns the name of this quality criterion
toString() - Method in class org.streaminer.stream.classifier.tree.RegressionTreeModel
toString(int) - Method in class org.streaminer.stream.classifier.tree.RegressionTreeNode
toString() - Method in class org.streaminer.stream.clustering.birch.CFEntry
toString() - Method in class org.streaminer.stream.clustering.birch.CFEntryPair
toString() - Method in class org.streaminer.stream.clustering.birch.CFNode
toString() - Method in class org.streaminer.stream.eval.ConfusionMatrix
toString() - Method in class org.streaminer.stream.eval.TableOfConfusion: Returns a String representation of this table of confusion.
toString() - Method in class org.streaminer.stream.frequency.RealCounting
toString() - Method in class org.streaminer.stream.frequency.StickySampling
toString() - Method in class org.streaminer.stream.frequency.topk.ConcurrentStreamSummary
toString() - Method in class org.streaminer.stream.frequency.topk.StreamSummary
toString() - Method in class org.streaminer.stream.frequency.util.CountEntry
toString() - Method in class org.streaminer.stream.frequency.util.CountEntryWithMaxError
toString() - Method in class org.streaminer.stream.frequency.util.Counter
toString() - Method in class org.streaminer.stream.frequency.util.ScoredItem
toString() - Method in class org.streaminer.stream.histogram.spdt.Bin
toString() - Method in class org.streaminer.stream.histogram.spdt.Gap
toString() - Method in class org.streaminer.stream.histogram.spdt.Histogram
toString() - Method in class org.streaminer.stream.histogram.spdt.NumericTarget
toString() - Method in class org.streaminer.stream.histogram.spdt.SumResult
toString() - Method in class org.streaminer.stream.membership.BloomFilter
toString() - Method in class org.streaminer.stream.model.HyperplaneModel: Delivers a String representation of the hyperplane model
toString() - Method in class org.streaminer.stream.quantile.CKMSQuantiles.Quantile
toString() - Method in class org.streaminer.stream.quantile.EnsembleQuantiles
toString() - Method in class org.streaminer.stream.quantile.ExactQuantiles
toString() - Method in class org.streaminer.stream.quantile.ExactQuantilesAll
toString() - Method in class org.streaminer.stream.quantile.GKQuantiles
toString() - Method in class org.streaminer.stream.quantile.QDigest
toString() - Method in class org.streaminer.stream.quantile.rss.Interval
toString() - Method in class org.streaminer.stream.quantile.rss.Subset: A better toString, to gain more information
toString() - Method in class org.streaminer.stream.quantile.rss.SubsetTree
toString() - Method in class org.streaminer.stream.quantile.TDigest.Group
toString() - Method in class org.streaminer.stream.quantile.WindowSketchQuantiles
toString() - Method in class org.streaminer.util.Pair
traverseNode(Serializable) - Method in class org.streaminer.stream.classifier.tree.InnerNode: traverses node to find matching leaf node
tree - Variable in class org.streaminer.stream.classifier.tree.HoeffdingTree: The resulting HoeffdingTree which is incrementally updated
TreeBinReservoir<T extends Target> - Class in org.streaminer.stream.histogram.spdt: This class implements bin operations (insertions, merges, etc) for a histogram.
TreeBinReservoir(int, boolean, Long) - Constructor for class org.streaminer.stream.histogram.spdt.TreeBinReservoir
TreeNode - Class in org.streaminer.stream.classifier.tree: This class is a simple implementation of a binary tree node.
TreeNode(String, Object, TreeNode) - Constructor for class org.streaminer.stream.classifier.tree.TreeNode
truncate(int) - Method in class org.streaminer.stream.model.NominalDistributionModel: This method trancates the size of this distribution-model by removing elements until only the given maximum number of elements resides in the count-map.
turnOffDebug() - Static method in class org.streaminer.util.SizeOf: Turn off debugging information
turnOnDebug() - Static method in class org.streaminer.util.SizeOf: Turn on debugging information
TwoUniversalHashFactory<T> - Class in org.streaminer.util.hash.factory
TwoUniversalHashFactory() - Constructor for class org.streaminer.util.hash.factory.TwoUniversalHashFactory
TwoUniversalHashFunction<T> - Class in org.streaminer.util.hash.function: Computes a two universal hash function lik it was described in the paper 'Universal classes of hash functions' written by 'Carter, J.
TwoUniversalHashFunction(int, int) - Constructor for class org.streaminer.util.hash.function.TwoUniversalHashFunction

U

u - Variable in class org.streaminer.stream.quantile.CKMSQuantiles.Quantile
unhide(String, Data) - Static method in class org.streaminer.stream.data.DataUtils: Deprecated.
uniform(int) - Method in class org.streaminer.stream.histogram.spdt.Histogram: Returns a list containing split points that form bins with uniform membership.
unionOf(QDigest, QDigest) - Static method in class org.streaminer.stream.quantile.QDigest
UnsignedIntComparator - Class in org.streaminer.util
UnsignedIntComparator() - Constructor for class org.streaminer.util.UnsignedIntComparator
update(String) - Method in class org.streaminer.stream.classifier.tree.RegressionTreeStatistics
update(Double) - Method in class org.streaminer.stream.classifier.tree.RegressionTreeStatistics: updates statistics of this node
update(CFEntry) - Method in class org.streaminer.stream.clustering.birch.CFEntry
update(Bin) - Method in class org.streaminer.stream.histogram.spdt.Bin
update() - Method in class org.streaminer.stream.mapper.Normalization
update(T) - Method in interface org.streaminer.stream.model.Distribution: This method is called to incorporate a new observation into the distribution model.
update(T) - Method in class org.streaminer.stream.model.NominalDistributionModel: Add a new value to the model.
update(Double) - Method in class org.streaminer.stream.model.NumericalDistributionModel: Add a new value to the model.
update(T) - Method in class org.streaminer.stream.model.StreamDistribution
updateBTrees(Data) - Method in class org.streaminer.stream.classifier.tree.LeafNode: updates all BTrees in this leaf
updateData(T) - Method in class org.streaminer.stream.frequency.CountMinSketch: Updating the data.
updateData(T) - Method in class org.streaminer.stream.frequency.CountSketch: Updates the data structure with the given item.
updateIfGreater(int, int) - Method in class org.streaminer.stream.cardinality.RegisterSet
updateNominal(Serializable, double) - Method in class org.streaminer.stream.classifier.tree.RTreeStatistics

V

v - Variable in class org.streaminer.stream.quantile.CKMSQuantiles.Quantile
value - Variable in class org.streaminer.util.ListNode2
valueOf(String) - Static method in enum org.streaminer.stream.histogram.spdt.Histogram.BinReservoirType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.streaminer.stream.histogram.spdt.Histogram.TargetType: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.streaminer.stream.histogram.spdt.Histogram.BinReservoirType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.streaminer.stream.histogram.spdt.Histogram.TargetType: Returns an array containing the constants of this enum type, in the order they are declared.
VariableEWMA - Class in org.streaminer.stream.avg: VariableEWMA represents the exponentially weighted moving average of a series of numbers.
VariableEWMA(double) - Constructor for class org.streaminer.stream.avg.VariableEWMA
Varint - Class in org.streaminer.util: Encodes signed and unsigned values using a common variable-length scheme, found for example in Google's Protocol Buffers.
VERBOSE_ENCODING - Static variable in class org.streaminer.stream.quantile.TDigest
visit(B) - Method in interface org.streaminer.stream.classifier.tree.Visitor
Visitor> - Interface in org.streaminer.stream.classifier.tree: This is the interface for the visitor pattern for trees.
vote(Data) - Method in class org.streaminer.stream.classifier.bayes.NaiveBayes

W

WARMUP_SAMPLES - Static variable in class org.streaminer.stream.avg.SimpleEWMA: For best results, the moving average should not be initialized to the samples it sees immediately.
WindowSketchQuantiles - Class in org.streaminer.stream.quantile: This deterministic quantile estimator loosely adapts the idea described in chapter 5 of "Approximate Counts and Quantiles over Sliding Windows" by Arvind Arasu and Gurmeet Singh Manku.
WindowSketchQuantiles(double) - Constructor for class org.streaminer.stream.quantile.WindowSketchQuantiles
WindowSketchQuantiles.Block - Class in org.streaminer.stream.quantile: This inner class holds the GKQuantiles for a specific level.
WindowSketchQuantiles.Block(Float, Integer) - Constructor for class org.streaminer.stream.quantile.WindowSketchQuantiles.Block
WindowSketchQuantiles.Quantiles - Class in org.streaminer.stream.quantile: Just a wrapper class for a summary (i.e.
WindowSketchQuantiles.Quantiles(Float, LinkedList<Double>) - Constructor for class org.streaminer.stream.quantile.WindowSketchQuantiles.Quantiles
withError(double, int) - Static method in class org.streaminer.stream.cardinality.LinearCounting.Builder: Builds Linear Counter with arbitrary standard error and maximum expected cardinality.
write(DataInput, int) - Method in class org.streaminer.stream.membership.DataOutputBuffer: Writes bytes from a DataInput directly into the buffer.
writeExternal(ObjectOutput) - Method in class org.streaminer.stream.cardinality.CountThenEstimate
writeExternal(ObjectOutput) - Method in class org.streaminer.stream.frequency.util.Counter
writeSignedVarInt(int, DataOutput) - Static method in class org.streaminer.util.Varint
writeSignedVarInt(int) - Static method in class org.streaminer.util.Varint
writeSignedVarLong(long, DataOutput) - Static method in class org.streaminer.util.Varint: Encodes a value using the variable-length encoding from Google Protocol Buffers.
writeUnsignedVarInt(int, DataOutput) - Static method in class org.streaminer.util.Varint
writeUnsignedVarInt(int) - Static method in class org.streaminer.util.Varint
writeUnsignedVarLong(long, DataOutput) - Static method in class org.streaminer.util.Varint: Encodes a value using the variable-length encoding from Google Protocol Buffers.

Z

Z - Class in org.streaminer.stream.sampling.gamma: Implementation of the Z algorithm.
Z(int) - Constructor for class org.streaminer.stream.sampling.gamma.Z
zeta(long, double) - Static method in class org.streaminer.util.distribution.ZipfDistribution
ZipfDistribution - Class in org.streaminer.util.distribution
ZipfDistribution(double, long) - Constructor for class org.streaminer.util.distribution.ZipfDistribution
ZipfDistribution(double, long, long) - Constructor for class org.streaminer.util.distribution.ZipfDistribution

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