public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException
IOException
ClassNotFoundException
public void writeExternal(ObjectOutput out) throws IOException
IOException
Distribution<T extends Serializable> dist
String labelAttribute
Integer limit
Double epsilon
Double epsilon
String labelAttribute
Double laplaceCorrection
Double confidenceGap
Boolean wop
Distribution<T extends Serializable> classDistribution
Map<K,V> distributions
String labelAttribute
Double laplaceCorrection
Distribution<T extends Serializable> classDistribution
Map<K,V> distributions
Integer k
String name
BinaryTreeNode<I extends NodeInfo,V> parent
BinaryTreeNode<I extends NodeInfo,V> left
BinaryTreeNode<I extends NodeInfo,V> right
NodeInfo nodeInfo
Object value
RegressionTreeStatistics lower
RegressionTreeStatistics upper
HoeffdingTreeModel tree
Map<K,V> featureValuePairs
List<E> labels
Map<K,V> NodeDataPairs
double numerator
QualityCriterion qualityCriterion
QualityCriterion
double minQualityForSplit
boolean initialized
String labelAttribute
#learn(LabeledExample)
will
have no effect until the learner is initialized.HoeffdingTree.HoeffdingTree(Collection)
or HoeffdingTree.HoeffdingTree(Map, Map, List, double, QualityCriterion, double)
.List<E> remainingFeatures
int[][][] counter
int exampleCount
int examplesTillNextLabelUpdate
Serializable lastMajorityClass
int fewestValuesFeature
boolean isUniLabel
int uniLabelIndex
HoeffdingTree.NodeData.isUniLabel
is trueString labelAttribute
HoeffdingTreeNode root
Map<K,V> featureTypes
FeatureType
for each featureString feature
Map<K,V> children
Serializable label
String feature
Serializable value
RegressionTreeNode leftChild
RegressionTreeNode rightChild
Map<K,V> bTrees
Regressor<D> regressionModelLearner
RegressionTreeNode parent
boolean isRightChild
int n
Classifier<D,T> model
SplitCriterion<S> splitCrierion
RegressionTreeModel tree
BTreeNode possibleSplitpoint
boolean splitPossible
double epsilon
double delta
RegressionTreeNode root
Serializable value
Double elements
Double ySum
Double ySumSquared
SplitCriterion<S> splitCriterion
Map<K,V> btrees
org.streaminer.stream.classifier.tree.RTree.BestSplitValueFinder splitValueFinder
Serializable value
Double leqElements
Double leqDeltaSum
Double leqSquaredDeltaSum
Integer greaterElements
Double greaterDeltaSum
Double greaterSquaredDeltaSum
Double sdr
String name
Object value
TreeNode<I extends Serializable> parent
List<E> children
Serializable nodeInfo
Object item
CountEntry
is associated with.long frequency
CountEntry
s item within a counting algorithm.public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException
IOException
ClassNotFoundException
public void writeExternal(ObjectOutput out) throws IOException
IOException
LinkedList<E> elements
Integer windowSize
IRichFrequency<T> counter
Long elementCount
int windowSize
int maxLevel
GKQuantiles initialGK
LinkedList<E> levels
LinkedList<E> quantiles
double epsilon
Float epsilon
Integer blockSize
LinkedList<E> summaryOfLastBlock
GKQuantiles quantileEstimator
Float epsilon
LinkedList<E> quantiles
double epsilon
double delta
int elementCount
int maxValue
int subsetCount
int elementsInGroupCount
int groupCount
SubsetTree[] subsetTrees
int valuesInSubsetCount
int level
int intervallWidth
int intervalCount
int maxValue
BitSet intervallBitVector
Subset[] levels
float epsilon
float delta
int maxValue
int elementCount
long domain
Random random
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