Package org.riversun.rfcode

Class _RandomForest

java.lang.Object

org.riversun.rfcode._RandomForest

public abstract class _RandomForest
extends Object

This class implements the basic structure of the Random Forests. It contains methods to run the classification. Modified: author Tom Misawa(riversun.org@gmail.com) version July 10, 2019 Copyright: MIT Licence Original: author Martin Pielot version June 30, 2015 Copyright: MIT Licence

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	_RandomForest.Prediction	This class encapsulates the prediction returned by the Random Forest classifier Modified: author Tom Misawa(riversun.org@gmail.com) version July 10, 2019 Original: author Martin Pielot version June 30, 2015

Field Summary

Fields

Modifier and Type	Field	Description
String	MyClass
boolean	use_votes	Flag that decides the voting strategy: when false, the class is decided by a simple majority vote; when true, the decision takes the number of positive leafs returned by each tree into account.

Constructor Summary

Constructors

Constructor	Description
_RandomForest()

Method Summary

Modifier and Type	Method	Description
_RandomForest.Prediction	runClassification()	Runs the classification.
protected abstract void	runClassifiers(List<_RandomForest.Prediction> predictions)	Tells the implementing class to run the classification

Methods inherited from class java.lang.Object

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

Field Detail

MyClass

public String MyClass

use_votes

public final boolean use_votes

Flag that decides the voting strategy: when false, the class is decided by a simple majority vote; when true, the decision takes the number of positive leafs returned by each tree into account. True by default.

See Also:

Constant Field Values

Constructor Detail

_RandomForest

public _RandomForest()

Method Detail

runClassifiers

protected abstract void runClassifiers(List<_RandomForest.Prediction> predictions)

Tells the implementing class to run the classification

Parameters:

predictions - a list in which the classifier will store the predictions of each individual tree.

runClassification

public _RandomForest.Prediction runClassification()

Runs the classification. The features have to be set by updating the fields of the implementing class.