org.apache.spark.ml.tree

Class LeafNode

java.lang.Object

org.apache.spark.ml.tree.Node

org.apache.spark.ml.tree.LeafNode

All Implemented Interfaces:

java.io.Serializable

public final class LeafNode
extends Node

:: DeveloperApi :: Decision tree leaf node. param: prediction Prediction this node makes param: impurity Impurity measure at this node (for training data)

See Also:

Serialized Form

Method Summary

Methods

Modifier and Type	Method and Description
double	impurity() Impurity measure at this node (for training data)
org.apache.spark.mllib.tree.impurity.ImpurityCalculator	impurityStats() Statistics aggregated from training data at this node, used to compute prediction, impurity, and probabilities.
double	prediction() Prediction a leaf node makes, or which an internal node would make if it were a leaf node
java.lang.String	toString()

Methods inherited from class org.apache.spark.ml.tree.Node

fromOld

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Method Detail

prediction

public double prediction()

Description copied from class: Node

Prediction a leaf node makes, or which an internal node would make if it were a leaf node

Specified by:

prediction in class Node

impurity

public double impurity()

Description copied from class: Node

Impurity measure at this node (for training data)

Specified by:

impurity in class Node

impurityStats

public org.apache.spark.mllib.tree.impurity.ImpurityCalculator impurityStats()

Description copied from class: Node

Statistics aggregated from training data at this node, used to compute prediction, impurity, and probabilities. For classification, the array of class counts must be normalized to a probability distribution.

Returns:

(undocumented)

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object