C# Class Accord.MachineLearning.DecisionTrees.RandomForestLearning

Show file Open project: accord-net/framework Class Usage Examples

Private Properties

Property	Type	Description
Run	double
run	double

Public Methods

Method	Description
Learn ( double inputs, int output ) : RandomForest	Learns a new Random Forest with the given data.
RandomForestLearning ( ) : System	Creates a new decision forest learning algorithm.
RandomForestLearning ( RandomForest forest ) : System	Creates a new decision forest learning algorithm.

Private Methods

Method	Description
Run ( double inputs, int output ) : double
run ( double inputs, int output ) : double

Method Details

Learn() public method

Learns a new Random Forest with the given data.

public Learn ( double inputs, int output ) : RandomForest
inputs	double	The input points.
output	int	The class label for each point.
return	RandomForest

RandomForestLearning() public method

Creates a new decision forest learning algorithm.

public RandomForestLearning ( ) : System
return	System

RandomForestLearning() public method

Creates a new decision forest learning algorithm.

public RandomForestLearning ( RandomForest forest ) : System
forest	RandomForest
return	System