Interface Node<T extends Output<T>>

All Superinterfaces:
Serializable
All Known Implementing Classes:
AbstractTrainingNode, ClassifierTrainingNode, JointRegressorTrainingNode, LeafNode, RegressorTrainingNode, SplitNode
public interface Node<T extends Output<T>> extends Serializable
A node in a decision tree.

  • Method Summary

    Modifier and Type
    Method
    Description
    Node<T>
    copy()
    Copies the node and it's children.
    double
    getImpurity()
    The impurity score of this node.
    Node<T>
    getNextNode(SparseVector example)
    Returns the next node in the tree based on the supplied example, or null if it's a leaf.
    boolean
    isLeaf()
    Is it a leaf node?

  • Method Details

    • isLeaf

      boolean isLeaf()
      Is it a leaf node?
      Returns:
      True if it's a leaf node.

    • getNextNode

      Node<T> getNextNode(SparseVector example)
      Returns the next node in the tree based on the supplied example, or null if it's a leaf.
      Parameters:
      example - The example.
      Returns:
      The next node down in the tree.

    • getImpurity

      double getImpurity()
      The impurity score of this node.
      Returns:
      The node impurity.

    • copy

      Node<T> copy()
      Copies the node and it's children.
      Returns:
      A deep copy.