SVMModel::predict

(PECL svm >= 0.1.0)
Predict 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.

Parameters:
data

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

Returns:

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() -

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2016-02-24 16:10:16
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