RandomForestClassifier (beaTunes 5.2.24 API)

java.lang.Object
- com.tagtraum.core.ml.RandomForest
- - com.tagtraum.core.ml.RandomForestClassifier

public class RandomForestClassifier
extends RandomForest

RandomForestClassifier.

Author:: Hendrik Schreiber

Nested Class Summary
- Nested classes/interfaces inherited from class com.tagtraum.core.ml.RandomForest
  RandomForest.Node

Field Summary
- Fields inherited from class com.tagtraum.core.ml.RandomForest
  trees

Constructor Summary

Constructors
Constructor Description

RandomForestClassifier(URL model)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`float`	`predict(float[] features)`
`float`	`predict(SortedMap<Float,Float> votes)`	Predict based on a vote distribution.
`SortedMap<Float,Float>`	`voteDistribution(float[] features)`	Returns the forest's vote distribution.
`List<Float>`	`votes(float[] features)`	Returns the forest's votes.

Methods inherited from class com.tagtraum.core.ml.RandomForest
toBinary, toDebugString, toString

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - RandomForestClassifier
```
public RandomForestClassifier(URL model)
                       throws IOException
```
    Throws:
    
    IOException
- Method Detail
  - predict
```
public float predict(float[] features)
```
    Specified by:
    
    predict in class RandomForest
  - predict
```
public float predict(SortedMap<Float,Float> votes)
```
    Predict based on a vote distribution.
    
    Parameters:
    
    votes - vote distribution
    
    Returns:
    
    prediction
  - voteDistribution
```
public SortedMap<Float,Float> voteDistribution(float[] features)
```
    Returns the forest's vote distribution.
    
    Parameters:
    
    features - features
    
    Returns:
    
    relative vote distribution
  - votes
```
public List<Float> votes(float[] features)
```
    Returns the forest's votes.
    
    Parameters:
    
    features - features
    
    Returns:
    
    votes