Support Vector Machine

• Introduction
• Installing/Configuring
  • Requirements
  • Installation
  • Runtime Configuration
  • Resource Types
• Examples
• SVM — The SVM class
  • SVM::__construct — Construct a new SVM object
  • SVM::crossvalidate — Test training params on subsets of the training data.
  • SVM::getOptions — Return the current training parameters
  • SVM::setOptions — Set training parameters
  • SVM::train — Create a SVMModel based on training data
• SVMModel — The SVMModel class
  • SVMModel::__construct — Construct a new SVMModel
  • SVMModel::load — Load a saved SVM Model
  • SVMModel::predict — Predict a value for previously unseen data
  • SVMModel::save — Save a model to a file