Predict a value for previously unseen data

(PECL svm >= 0.1.0)

SVMModel::predictPredict a value for previously unseen data


public float SVMModel::predict ( array $data )

This function accepts an array of data and attempts to predict the class or regression value based on the model extracted from previously trained data.

Список параметров


The array to be classified. This should be a series of key => value pairs in increasing key order, but not necessarily continuous.

Возвращаемые значения

Float the predicted value. This will be a class label in the case of classification, a real value in the case of regression. Throws SVMException on error

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