php-ml/tests/NeuralNetwork/ActivationFunction/BinaryStepTest.php
2018-10-28 07:44:52 +01:00

54 lines
1.2 KiB
PHP

<?php
declare(strict_types=1);
namespace Phpml\Tests\NeuralNetwork\ActivationFunction;
use Phpml\NeuralNetwork\ActivationFunction\BinaryStep;
use PHPUnit\Framework\TestCase;
class BinaryStepTest extends TestCase
{
/**
* @dataProvider binaryStepProvider
*
* @param float|int $value
*/
public function testBinaryStepActivationFunction(float $expected, $value): void
{
$binaryStep = new BinaryStep();
self::assertEquals($expected, $binaryStep->compute($value));
}
public function binaryStepProvider(): array
{
return [
[1, 1],
[1, 0],
[0, -0.1],
];
}
/**
* @dataProvider binaryStepDerivativeProvider
*
* @param float|int $value
*/
public function testBinaryStepDerivative(float $expected, $value): void
{
$binaryStep = new BinaryStep();
$activatedValue = $binaryStep->compute($value);
self::assertEquals($expected, $binaryStep->differentiate($value, $activatedValue));
}
public function binaryStepDerivativeProvider(): array
{
return [
[0, -1],
[1, 0],
[0, 1],
];
}
}