T
MultiClassLearner SGDLearner MultinomialNaiveBayes MultinomialNaiveBayesModel Bagging LinearModel HoeffdingTree HoeffdingTreeModel Clustream StreamKM BucketManager Clusters MicroClusters DenseInstance Instance Learner Model NullInstance SparseInstance TextInstance
Task
tasks
Task1
examples
Task2
examples
TestKMeans
utils
TextInstance
core
TextStreamReader
streams
TreeCoreset
clusters
tasks
streamdm
threshold
MicroCluster
tieThreshold
HoeffdingTreeModel
tieThresholdOption
HoeffdingTree
timeSum
MicroCluster
toArff
ExampleParser SpecificationParser
toCsv
SpecificationParser
toExample
MicroCluster
toExampleArray
MicroClusters
toString
LinearModel ActiveLearningNode FeatureSplit InactiveLearningNode NominalBinaryTest NominalMultiwayTest NumericBinaryTest SplitNode Bucket MicroCluster MicroClusters DenseInstance Example NullInstance SparseInstance
totalMovementSteps
GeneratorCluster
totalWeight
GaussianEstimator NominalFeatureClassObserver
train
MultiClassLearner SGDLearner MultinomialNaiveBayes Bagging HoeffdingTree Clustream StreamKM Learner
transpose
Utils
treeHeight
HoeffdingTreeModel
treeRoot
RandomTreeGenerator
trees
classifiers
tripleWeights
GaussianEstimator
tryMerging
GeneratorCluster