SVMModel::predict

(PECL svm >= 0.1.0)

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

˵��

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.

����

data

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

����ֵ

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

�μ�