BalancedRandomTree (Fiji Javadocs 0-SNAPSHOT API)

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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(Instances data, ArrayList<Integer> bagIndices, Splitter splitter)` Build random tree for a balanced random forest

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type Method and Description

double[] evaluate(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(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(Instance instance)
```
    Evaluate sample
    
    Parameters:
    
    instance - sample to evaluate
    
    Returns:
    
    array of class probabilities

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