Support Vector Machine

Giriş

Uyarı

Bu eklenti DENEYSELDİR. Bu eklentinin davranışı, işlev isimleri ve tüm belgeleri PHP'nin sonraki sürümlerinde hiçbir duyuru yapılmaksızın değiştirilebilir. Bu risk göze alınamayacaksa bu eklenti kullanılmamalıdır.

LibSVM is an efficient solver for SVM classification and regression problems. The svm extension wraps this in a PHP interface for easy use in PHP scripts.

Yapılandırma/Kurulum
- Gereksinimler
- Kurulum
Örnekler
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::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