The SVMModel class

Contents

(PECL svm >= 0.1.0)

Introduction

The SVMModel is the end result of the training process. It can be used to classify previously unseen data.

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Class synopsis

SVMModel {

/* Methods */

public checkProbabilityModel ( void ) : bool

public __construct ([ string $filename ] )

public getLabels ( void ) : array

public getNrClass ( void ) : int

public getSvmType ( void ) : int

public getSvrProbability ( void ) : float

public load ( string $filename ) : bool

public predict_probability ( array $data ) : float

public predict ( array $data ) : float

public save ( string $filename ) : bool

}

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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 — Load a saved SVM Model
SVMModel::predict_probability — Return class probabilities for previous unseen data
SVMModel::predict — Predict a value for previously unseen data
SVMModel::save — Save a model to a file

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Document created the 30/01/2003, last modified the 26/10/2018
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References

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Contents Haut

The SVMModel class

Introduction

Class synopsis

Table of Contents

References