Class FTLeavesNode

All Implemented Interfaces:
Serializable, Cloneable, CapabilitiesHandler, OptionHandler, RevisionHandler, WeightedInstancesHandler

public class FTLeavesNode extends FTtree
Class for Functional Leaves tree version.
Version:
$Revision: 1.4 $
Author:
Jo\~{a}o Gama, Carlos Ferreira
See Also:
  • Constructor Details

    • FTLeavesNode

      public FTLeavesNode(boolean errorOnProbabilities, int numBoostingIterations, int minNumInstances, double weightTrimBeta, boolean useAIC)
      Constructor for Functional Leaves tree node.
      Parameters:
      errorOnProbabilities - Use error on probabilities for stopping criterion of LogitBoost?
      numBoostingIterations - sets the numBoostingIterations parameter
      minNumInstances - minimum number of instances at which a node is considered for splitting
  • Method Details

    • buildClassifier

      public void buildClassifier(Instances data) throws Exception
      Method for building a Functional Leaves tree (only called for the root node). Grows an initial Functional Tree.
      Specified by:
      buildClassifier in class FTtree
      Parameters:
      data - the data to train with
      Throws:
      Exception - if something goes wrong
    • buildTree

      public void buildTree(Instances data, SimpleLinearRegression[][] higherRegressions, double totalInstanceWeight, double higherNumParameters) throws Exception
      Method for building the tree structure. Builds a logistic model, splits the node and recursively builds tree for child nodes.
      Specified by:
      buildTree in class FTtree
      Parameters:
      data - the training data passed on to this node
      higherRegressions - An array of regression functions produced by LogitBoost at higher levels in the tree. They represent a logistic regression model that is refined locally at this node.
      totalInstanceWeight - the total number of training examples
      higherNumParameters - effective number of parameters in the logistic regression model built in parent nodes
      Throws:
      Exception - if something goes wrong
    • prune

      public double prune() throws Exception
      Prunes a tree using C4.5 pruning procedure.
      Specified by:
      prune in class FTtree
      Throws:
      Exception - if something goes wrong
    • distributionForInstance

      public double[] distributionForInstance(Instance instance) throws Exception
      Returns the class probabilities for an instance given by the Functional Leaves tree.
      Specified by:
      distributionForInstance in class FTtree
      Parameters:
      instance - the instance
      Returns:
      the array of probabilities
      Throws:
      Exception - if distribution can't be computed successfully
    • getRevision

      public String getRevision()
      Returns the revision string.
      Specified by:
      getRevision in interface RevisionHandler
      Overrides:
      getRevision in class FTtree
      Returns:
      the revision