ai

Class BalancedRandomTree

java.lang.Object

ai.BalancedRandomTree

All Implemented Interfaces:

Serializable

public class BalancedRandomTree
extends Object
implements Serializable

This class implements a random tree based on the split function specified by the template in Splitter

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
BalancedRandomTree(weka.core.Instances data, ArrayList<Integer> bagIndices, Splitter splitter) Build random tree for a balanced random forest

Method Summary

Modifier and Type	Method and Description
double[]	evaluate(weka.core.Instance instance) Evaluate sample

Methods inherited from class java.lang.Object

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

Constructor Detail

BalancedRandomTree

public BalancedRandomTree(weka.core.Instances data,
                          ArrayList<Integer> bagIndices,
                          Splitter splitter)

Build random tree for a balanced random forest

Parameters:

data - original data

bagIndices - indices of the data samples to use

splitter - split function generator

Method Detail

evaluate

public double[] evaluate(weka.core.Instance instance)

Evaluate sample

Parameters:

instance - sample to evaluate

Returns:

array of class probabilities