The SVMModel class

Introduction

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

SVMModel

class SVMModel {

/* Methods */

public __construct(string $filename = ?)

public bool checkProbabilityModel()

public array getLabels()

public int getNrClass()

public int getSvmType()

public float getSvrProbability()

public bool load(string $filename)

public float predict(array $data)

public float predict_probability(array $data)

public bool save(string $filename)

}

Table of Contents

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