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 checkProbabilityModel(): bool
public __construct(string $filename = ?)
public getLabels(): array
public getNrClass(): int
public getSvmType(): int
public getSvrProbability(): 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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