The SVMModel class

Introduction

(PECL svm >= 0.1.0)

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

Class synopsis

public checkProbabilityModel(): bool

public getLabels(): array

public getNrClass(): int

public getSvmType(): int

public getSvrProbability(): float

public load(string $filename): bool

public predict(array $data): float

public predict_probability(array $data): float

public 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