La clase SVMModel

(No hay información de versión disponible, podría estar únicamente en SVN)

Introducción

El SVMModel es el resultado final del proceso de formación. Puede ser utilizado para clasificar los datos nunca antes vistos.

SVMModel {

/* Methods */

public bool checkProbabilityModel ( void )

public __construct ([ string $filename ] )

public array getLabels ( void )

public int getNrClass ( void )

public int getSvmType ( void )

public float getSvrProbability ( void )

public bool load ( string $filename )

public float predict_probability ( array $data )

public float predict ( array $data )

public bool save ( string $filename )

}

SVMModel::checkProbabilityModel — Returns true if the model has probability information
SVMModel::__construct — Construct a new SVMModel
SVMModel::getLabels — Get the labels the model was trained on
SVMModel::getNrClass — Returns the number of classes the model was trained with
SVMModel::getSvmType — Get the SVM type the model was trained with
SVMModel::getSvrProbability — Get the sigma value for regression types
SVMModel::load — Cargar un modelo SVM guardado
SVMModel::predict_probability — Return class probabilities for previous unseen data
SVMModel::predict — Predict a value for previously unseen data
SVMModel::save — Guardar un modelo en un archivo