SVMModel::predict
(PECL svm >= 0.1.0)
SVMModel::predict — Predict a value for previously unseen data
Description
public function 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.
Parameters
data-
The array to be classified. This should be a series of key => value
pairs in increasing key order, but not necessarily continuous.
Return Values
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
SVMModel::load
SVMModel