2016-08-02 13:07:47 +02:00
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<?php
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2016-11-20 22:53:17 +01:00
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declare(strict_types=1);
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2016-08-02 13:07:47 +02:00
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2018-01-06 13:09:33 +01:00
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namespace Phpml\Tests\NeuralNetwork\ActivationFunction;
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2016-08-02 13:07:47 +02:00
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use Phpml\NeuralNetwork\ActivationFunction\HyperbolicTangent;
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2017-02-03 12:58:25 +01:00
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use PHPUnit\Framework\TestCase;
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2016-08-02 13:07:47 +02:00
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2017-02-03 12:58:25 +01:00
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class HyperboliTangentTest extends TestCase
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2016-08-02 13:07:47 +02:00
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{
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/**
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* @dataProvider tanhProvider
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*/
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2017-11-14 21:21:23 +01:00
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public function testHyperbolicTangentActivationFunction($beta, $expected, $value): void
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2016-08-02 13:07:47 +02:00
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{
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$tanh = new HyperbolicTangent($beta);
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$this->assertEquals($expected, $tanh->compute($value), '', 0.001);
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}
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2017-11-22 22:16:10 +01:00
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public function tanhProvider(): array
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2016-08-02 13:07:47 +02:00
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{
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return [
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[1.0, 0.761, 1],
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[1.0, 0, 0],
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[1.0, 1, 4],
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[1.0, -1, -4],
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[0.5, 0.462, 1],
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[0.3, 0, 0],
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];
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}
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2018-01-09 11:09:59 +01:00
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/**
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* @dataProvider tanhDerivativeProvider
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*/
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public function testHyperbolicTangentDerivative($beta, $expected, $value): void
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{
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$tanh = new HyperbolicTangent($beta);
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$activatedValue = $tanh->compute($value);
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$this->assertEquals($expected, $tanh->differentiate($value, $activatedValue), '', 0.001);
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}
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public function tanhDerivativeProvider(): array
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{
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return [
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[1.0, 0, -6],
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[1.0, 0.419, -1],
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[1.0, 1, 0],
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[1.0, 0.419, 1],
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[1.0, 0, 6],
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[0.5, 0.786, 1],
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[0.5, 0.786, -1],
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[0.3, 1, 0],
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];
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}
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2016-08-02 13:07:47 +02:00
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}
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