The SVMModel class
(PECL svm >= 0.1.0)
Einführung
The SVMModel is the end result of the training process. It can be used to classify previously unseen data.
Klassenbeschreibung
class SVMModel
{
/* Methods */
}Inhaltsverzeichnis
- 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_probability — Return class probabilities for previous unseen data
- SVMModel::predict — Predict a value for previously unseen data
- SVMModel::save — Save a model to a file
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