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Soporte Vector Machine
Introducción
Instalación/Configuración
Requerimientos
Instalación
Configuración en tiempo de ejecución
Tipos de recursos
Ejemplos
SVM
— La clase SVM
SVM::__construct
— Construir un nuevo objeto SVM
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
— La clase SVMModel
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
— Cargar un modelo SVM guardado
SVMModel::predict_probability
— Return class probabilities for previous unseen data
SVMModel::predict
— Predict a value for previously unseen data
SVMModel::save
— Guardar un modelo en un archivo
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