All Classes
AbstractClassifier
AbstractIterator
AbstractMultiClassifier
AbstractRegressor
AdaptiveCounting
AdaptiveCounting.Builder
AddMax
AddMinMax
AMSSketch
ArrayBinReservoir
ArrayCategoricalTarget
ArrayUtils
AttributeFilter
BaseFrequency
Bin
BinaryTreeNode
BinReservoir
BinUpdateException
Bits
BitSetSerializer
BloomCalculations
BloomCalculations.BloomSpecification
BloomFilter
BoundedBayes
BTreeNode
Bucket
CardinalityMergeException
CategoricalTarget
CCFCSketch
CFEntry
CFEntryPair
CFNode
CFTree
ChernoffSplitCriterion
ChernoffStatistics
CKMSQuantiles
CKMSQuantiles.Quantile
Classifier
ConcurrentStreamSummary
ConfusionMatrix
CosineDistance
CountEntry
CountEntryWithMaxError
Counter
CountMinSketch
CountMinSketchAlt
CountMinSketchAlt.CMSMergeException
CountSketch
CountThenEstimate
CountThenEstimate.CountThenEstimateMergeException
Data
DataImpl
DataInputBuffer
DataOutputBuffer
DataUtils
DescriptionModel
Distribution
DoublyLinkedList
EnsembleQuantiles
ExactQuantiles
ExactQuantilesAll
ExternalizableUtil
ExtractDouble
Filter
FrequencyException
Frequent
Frugal2U
GammaFunction
Gap
GKQuantiles
GroupTarget
GroupTree
HashFunction
HashFunctionFactory
HashUtils
Histogram
Histogram.BinReservoirType
Histogram.TargetType
HoeffdingTree
HoeffdingTreeModel
HoeffdingTreeNode
HyperLogLog
HyperLogLog.Builder
HyperLogLog.HyperLogLogMergeException
HyperLogLogPlus
HyperLogLogPlus.Builder
HyperLogLogPlus.HyperLogLogPlusMergeException
HyperplaneModel
IAverage
IBaseFrequency
IBuilder
ICardinality
ICompactSerializer
Identity
IMapper
InnerNode
Interval
IQuantiles
IRichFrequency
ISampler
ISampleSet
ISimpleFrequency
ITopK
JenkinsHash
JenkinsHashFunction
Kernel
KeyMapper
LeafNode
Learner
LearnerUtils
LinearCounting
LinearCounting.Builder
LinearCounting.LinearCountingMergeException
LinearDistance
LinearRegression
ListNode2
Lists
LogLog
LogLog.Builder
LogLog.LogLogMergeException
Lookup3Hash
LossyBayes
LossyCounting
Majority
MajorityClass
MapCategoricalTarget
MathHelper
MisraGries
MixedInsertException
Model
ModelTree
MovingAverage
MPQuantiles
MultiBayes
MultiLossyBayes
MultiRandomClassifier
MultiTopkBayes
MurmurHash
MurmurHashFunction
NaiveBayes
NaiveBayesWOP
NodeInfo
NominalDistributionModel
Normalization
NumberUtil
NumericalBinning
NumericalDistributionModel
NumericTarget
Pair
Perceptron
PowerOfTwo
Preconditions
PredictionModel
Prime
QDigest
QualityCriterion
QualityCriterion.EntropyCriterion
QualityCriterion.GiniCriterion
QuantilesException
QuotedStringTokenizer
R
Radius
RandomClassifier
Range
RealCounting
RegisterSet
RegressionTree
RegressionTreeModel
RegressionTreeNode
RegressionTreeStatistics
Regressor
ReservoirSampler
RSSQuantiles
RTree
RTreeStatistics
SampleSet
ScoredItem
SelectFeaturesMapper
SelectiveDescriptionModel
SimpleEWMA
SimpleHashFactory
SimpleHashFunction
SimpleQuantiles
SimpleTarget
SimpleTopKCounting
SizeOf
SlidingWindow
SpaceSaving
SplitCriterion
SquaredDistance
StickySampling
StickySamplingBayes
StochasticTopper
StreamDistribution
StreamSummary
Subset
SubsetTree
SumOutOfRangeException
SumQuantiles
SumResult
TableOfConfusion
Target
TDigest
TDigest.Group
TopKBayes
TreeBinReservoir
TreeNode
TwoUniversalHashFactory
TwoUniversalHashFunction
UnsignedIntComparator
VariableEWMA
Varint
Visitor
WindowSketchQuantiles
Z
ZipfDistribution