Package weka.classifiers.trees.ht

Interface Summary

Interface	Description
LearningNode	Marker interface for a node that can be updated with incoming instances in a HoeffdingTree.

Class Summary

Class	Description
ActiveHNode	Node that is "active" (i.e.
ConditionalSufficientStats	Records sufficient stats for an attribute
GaussianConditionalSufficientStats	Maintains sufficient stats for a Gaussian distribution for a numeric attribute
GiniSplitMetric	Implements the gini splitting criterion
HNode	Abstract base class for nodes in a Hoeffding tree
InactiveHNode	Class implementing an inactive node (i.e.
InfoGainSplitMetric	Implements the info gain splitting criterion
LeafNode	Leaf node in a HoeffdingTree
NBNode	Implements a LearningNode that uses a naive Bayes model
NBNodeAdaptive	Implements a LearningNode that chooses between using majority class or naive Bayes for prediction
NominalConditionalSufficientStats	Maintains sufficient stats for the distribution of a nominal attribute
Split	Base class for different split types
SplitCandidate	Encapsulates a candidate split
SplitMetric	Base class for split metrics
SplitNode	Class for a node that splits the data in a Hoeffding tree
UnivariateNominalMultiwaySplit	A multiway split based on a single nominal attribute
UnivariateNumericBinarySplit	A binary split based on a single numeric attribute
WeightMass	Simple container for a weight