Support Vector Machine
- Introduction
- Installing/Configuring
- 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