/**
* @param \Sereban\NeuronNet\App $app
* @param array $_values
*/
public function initCounts(App $app, array $_values)
{
$initCount = count($_values[Layout\Collection::INITIAL_VALUES][0]);
$teacherCount = count($_values[Layout\Collection::TEACHER_VALUES][0]);
$assocCount = (int) ($initCount * NeuronNet\Relation::ACCELERATOR);
//The number of associated neurons should be smaller than the number of stimulated
//Setting counts
$app->setNeuronCount(NeuronNet\Factory::STIM, $initCount);
$app->setNeuronCount(NeuronNet\Factory::ASSOC, $assocCount);
$app->setNeuronCount(NeuronNet\Factory::REACT, $teacherCount);
}
/**
* Full Test: check whether back propagation was successful
* @throws \Exception
*/
public function testAbsolute()
{
$_values = $this->parseYaml($this->_getCurrentFolder(__DIR__, "absolute", "absolute.yml"));
$_values = $this->prepareValues($_values);
$this->initCounts($this->_app, $_values);
//Initializing and start
$this->_app->init($_values);
$this->_app->start();
Net::setMode(Net::PRODUCTION_MODE);
$this->_app->start();
//run app with same values but in production mode
$lastLayout = $this->_app->getLayoutCollection()->getLastLayout();
/** @var NeuronNet\Neuron\React $winner */
$winner = $lastLayout->seek($this->_app->getWinner());
//Compare standard teacher value with winner`s teacher value
$this->assertEquals(self::WINNER_TEACHER_VALUE, $winner->getTeacherValue());
}
