/**
* Construct an ADALINE trainer.
*
* @param BasicNetwork network
* The network to train.
* @param MLDataSet training
* The training data.
* @param double learningRate
* The learning rate.
*/
public function __construct(BasicNetwork $network, MLDataSet $training, $learningRate)
{
parent::__construct(TrainingImplementationType::Iterative);
if ($network->getLayerCount() > 2) {
throw new NeuralNetworkError("An ADALINE network only has two layers.");
}
$this->network = $network;
$this->training = $training;
$this->learningRate = $learningRate;
}
