Returns the predicted class distribution
Returns the predicted class distribution
a Hoeffding tree model
the input example
the predicted class distribution
Returns depth of current node in the tree
Returns the node description
Disable a feature at a given index
Disable a feature at a given index
the index of the feature
Filter the data to the related leaf node
Filter the data to the related leaf node
the input example
the parent of current node
the index of current node in the parent children
FoundNode containing the leaf node
Returns Split suggestions for all features.
Returns Split suggestions for all features.
the SplitCriterion used
a Hoeffding tree model
an array of FeatureSplit
Returns height of the tree
init featureObservers array
init featureObservers array
Returns whether a node is active.
Returns whether a node is active.
Checks whether a node is a leaf
Checks whether a node is a leaf
true if a node is a leaf, false otherwise
Returns whether a node is pure, which means it only has examples belonging to a single class.
Returns whether a node is pure, which means it only has examples belonging to a single class.
Learn and update the node.
Learn and update the node.
a Hoeffding tree model
an input example
Merge two nodes
Merge two nodes
flag indicating whether the node will be split
new node
Returns number of children
Set the depth of current node
Adaptive Naive Bayes learning node.