The SVMModel class

(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.

class SVMModel {

/* Methods */

public __construct(string $filename = ?)

public load(string $filename): bool

public predict(array $data): float

public save(string $filename): bool

}

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