php-ml/tests/NeuralNetwork/Node/NeuronTest.php

67 lines
1.9 KiB
PHP

<?php
declare(strict_types=1);
namespace Phpml\Tests\NeuralNetwork\Node;
use Phpml\NeuralNetwork\ActivationFunction\BinaryStep;
use Phpml\NeuralNetwork\Node\Neuron;
use Phpml\NeuralNetwork\Node\Neuron\Synapse;
use PHPUnit\Framework\MockObject\MockObject;
use PHPUnit\Framework\TestCase;
class NeuronTest extends TestCase
{
public function testNeuronInitialization(): void
{
$neuron = new Neuron();
self::assertEquals([], $neuron->getSynapses());
self::assertEquals(0.5, $neuron->getOutput());
}
public function testNeuronActivationFunction(): void
{
/** @var BinaryStep|MockObject $activationFunction */
$activationFunction = $this->getMockBuilder(BinaryStep::class)->getMock();
$activationFunction->method('compute')->with(0)->willReturn($output = 0.69);
$neuron = new Neuron($activationFunction);
self::assertEquals($output, $neuron->getOutput());
}
public function testNeuronWithSynapse(): void
{
$neuron = new Neuron();
$neuron->addSynapse($synapse = $this->getSynapseMock());
self::assertEquals([$synapse], $neuron->getSynapses());
self::assertEqualsWithDelta(0.88, $neuron->getOutput(), 0.01);
}
public function testNeuronRefresh(): void
{
$neuron = new Neuron();
$neuron->getOutput();
$neuron->addSynapse($this->getSynapseMock());
self::assertEqualsWithDelta(0.5, $neuron->getOutput(), 0.01);
$neuron->reset();
self::assertEqualsWithDelta(0.88, $neuron->getOutput(), 0.01);
}
/**
* @return Synapse|MockObject
*/
private function getSynapseMock(float $output = 2.)
{
$synapse = $this->getMockBuilder(Synapse::class)->disableOriginalConstructor()->getMock();
$synapse->method('getOutput')->willReturn($output);
return $synapse;
}
}