The SVMModel class

(PECL svm >= 0.1.0)

Einführung

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

Klassenbeschreibung

class SVMModel {
/* Methoden */
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
}

Inhaltsverzeichnis