62 lines
1.5 KiB
PHP
62 lines
1.5 KiB
PHP
<?php
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declare(strict_types=1);
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namespace Phpml\Tests\NeuralNetwork\ActivationFunction;
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use Phpml\NeuralNetwork\ActivationFunction\Sigmoid;
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use PHPUnit\Framework\TestCase;
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class SigmoidTest extends TestCase
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{
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/**
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* @dataProvider sigmoidProvider
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*
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* @param float|int $value
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*/
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public function testSigmoidActivationFunction(float $beta, float $expected, $value): void
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{
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$sigmoid = new Sigmoid($beta);
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self::assertEqualsWithDelta($expected, $sigmoid->compute($value), 0.001);
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}
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public function sigmoidProvider(): array
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{
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return [
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[1.0, 1, 7.25],
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[2.0, 1, 3.75],
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[1.0, 0.5, 0],
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[0.5, 0.5, 0],
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[1.0, 0, -7.25],
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[2.0, 0, -3.75],
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];
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}
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/**
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* @dataProvider sigmoidDerivativeProvider
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*
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* @param float|int $value
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*/
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public function testSigmoidDerivative(float $beta, float $expected, $value): void
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{
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$sigmoid = new Sigmoid($beta);
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$activatedValue = $sigmoid->compute($value);
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self::assertEqualsWithDelta($expected, $sigmoid->differentiate($value, $activatedValue), 0.001);
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}
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public function sigmoidDerivativeProvider(): array
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{
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return [
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[1.0, 0, -10],
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[1, 0.006, -5],
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[1.0, 0.25, 0],
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[1, 0.006, 5],
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[1.0, 0, 10],
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[2.0, 0.25, 0],
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[0.5, 0.246, 0.5],
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[0.5, 0.241, 0.75],
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];
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}
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}
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