文字
The SVMModel class
(PECL svm >= 0.1.0)
简介
The SVMModel is the end result of the training process. It can be used to classify previously unseen data.
类摘要
SVMModel
{
public bool checkProbabilityModel
( void
)
public __construct
([ string
$filename
] ) public array getLabels
( void
)
public int getNrClass
( void
)
public int getSvmType
( void
)
public float getSvrProbability
( void
)
public bool load
( string
$filename
) public float predict_probability
( array
$data
) public float predict
( array
$data
) public bool save
( string
}$filename
)Table of Contents
- 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