SVMModel クラス

(PECL svm >= 0.1.0)

導入

SVMModel は、訓練処理の結果です。それは、以前は目に見えなかったデータを分類するために使用できます。

SVMModel {

/* メソッド */

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 )

}

SVMModel::checkProbabilityModel — Returns true if the model has probability information
SVMModel::__construct — SVMModel を新規構築
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 — 保管された SVM モデルを読み込み
SVMModel::predict_probability — Return class probabilities for previous unseen data
SVMModel::predict — Predict a value for previously unseen data
SVMModel::save — モデルをファイルに保管