OpenANN::AdaBoost Class Reference

Adaptive Boosting. More...

#include <AdaBoost.h>

Inheritance diagram for OpenANN::AdaBoost:

Public Member Functions
	AdaBoost ()
Eigen::VectorXd	getWeights ()
	Get weights of the models. More...
virtual EnsembleLearner &	addLearner (Learner &learner)
virtual EnsembleLearner &	setOptimizer (Optimizer &optimizer)
virtual EnsembleLearner &	train (DataSet &dataSet)
virtual Eigen::MatrixXd	operator() (Eigen::MatrixXd &X)
virtual Eigen::VectorXd	operator() (Eigen::VectorXd &x)
Public Member Functions inherited from OpenANN::EnsembleLearner
virtual	~EnsembleLearner ()

Detailed Description

Adaptive Boosting.

AdaBoost tries to learn specialized experts for subsets of the training set [1]. This implementation can only be used for classification.

[1] Y. Freund, R. E. Schapire: A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting, Journal of Computer and System Sciences 55, pp. 119-139, 1995.

Constructor & Destructor Documentation

OpenANN::AdaBoost::AdaBoost

(

)

Member Function Documentation

virtual EnsembleLearner& OpenANN::AdaBoost::addLearner ( Learner &  learner)

virtual

Implements OpenANN::EnsembleLearner.

Eigen::VectorXd OpenANN::AdaBoost::getWeights

(

)

Get weights of the models.

Returns

model weights, sum up to one

virtual Eigen::MatrixXd OpenANN::AdaBoost::operator() ( Eigen::MatrixXd &  X)

virtual

Implements OpenANN::EnsembleLearner.

virtual Eigen::VectorXd OpenANN::AdaBoost::operator() ( Eigen::VectorXd &  x)

virtual

Implements OpenANN::EnsembleLearner.

virtual EnsembleLearner& OpenANN::AdaBoost::setOptimizer ( Optimizer &  optimizer)

virtual

Implements OpenANN::EnsembleLearner.

virtual EnsembleLearner& OpenANN::AdaBoost::train ( DataSet &  dataSet)

virtual

Implements OpenANN::EnsembleLearner.

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The documentation for this class was generated from the following file:

• OpenANN/AdaBoost.h