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SVM::train	SVMModel::checkProbabilityModel

SVM	Last updated: Mon, 26 Oct 2026

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 synopsis

class SVMModel {

/* Methods */

public function __construct(string $filename = ?)

public function checkProbabilityModel(): bool

public function getLabels(): array

public function getNrClass(): int

public function getSvmType(): int

public function getSvrProbability(): float

public function load(string $filename): bool

public function predict(array $data): float

public function predict_probability(array $data): float

public function save(string $filename): bool

}

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

SVM::train	SVMModel::checkProbabilityModel

SVM	Last updated: Mon, 26 Oct 2026