SVMModel::predict
(PECL svm >= 0.1.0)
SVMModel::predict — Predict a value for previously unseen data
Description
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.
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
See Also
- SVM::train() - Create a SVMModel based on training data
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https://www.php.net/manual/en/svmmodel.predict.php