SVMModel::predict

(PECL svm >= 0.1.0)

SVMModel::predict — Predict a value for previously unseen data

Beschreibung

public SVMModel::predict(array $data): float

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.

Parameter-Liste

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

Rückgabewerte

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

Siehe auch

SVM::train() - Create a SVMModel based on training data

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