cii-text-analysis/vendor/rubix/ml/tests/NeuralNet/Layers/ContinuousTest.php
Jéremy Munsch f68d2ac333
premier poc
2026-02-11 08:24:04 +01:00

111 lines
2.5 KiB
PHP

<?php
namespace Rubix\ML\Tests\NeuralNet\Layers;
use Tensor\Matrix;
use Rubix\ML\Deferred;
use Rubix\ML\NeuralNet\Layers\Layer;
use Rubix\ML\NeuralNet\Layers\Output;
use Rubix\ML\NeuralNet\Layers\Continuous;
use Rubix\ML\NeuralNet\Optimizers\Stochastic;
use Rubix\ML\NeuralNet\CostFunctions\LeastSquares;
use PHPUnit\Framework\TestCase;
/**
* @group Layers
* @covers \Rubix\ML\NeuralNet\Layers\Continuous
*/
class ContinuousTest extends TestCase
{
protected const RANDOM_SEED = 0;
/**
* @var \Tensor\Matrix
*/
protected $input;
/**
* @var (int|float)[]
*/
protected $labels;
/**
* @var \Rubix\ML\NeuralNet\Optimizers\Optimizer
*/
protected $optimizer;
/**
* @var \Rubix\ML\NeuralNet\Layers\Continuous
*/
protected $layer;
/**
* @before
*/
protected function setUp() : void
{
$this->input = Matrix::quick([
[2.5, 0.0, -6.0],
]);
$this->labels = [0.0, -2.5, 90];
$this->optimizer = new Stochastic(0.001);
$this->layer = new Continuous(new LeastSquares());
srand(self::RANDOM_SEED);
}
/**
* @test
*/
public function build() : void
{
$this->assertInstanceOf(Continuous::class, $this->layer);
$this->assertInstanceOf(Output::class, $this->layer);
$this->assertInstanceOf(Layer::class, $this->layer);
}
/**
* @test
*/
public function initializeForwardBackInfer() : void
{
$this->layer->initialize(1);
$this->assertEquals(1, $this->layer->width());
$expected = [
[2.5, 0.0, -6.0],
];
$forward = $this->layer->forward($this->input);
$this->assertInstanceOf(Matrix::class, $forward);
$this->assertEquals($expected, $forward->asArray());
[$computation, $loss] = $this->layer->back($this->labels, $this->optimizer);
$this->assertInstanceOf(Deferred::class, $computation);
$this->assertIsFloat($loss);
$gradient = $computation->compute();
$expected = [
[0.8333333333333334, 0.8333333333333334, -32.0],
];
$this->assertInstanceOf(Matrix::class, $gradient);
$this->assertEquals($expected, $gradient->asArray());
$expected = [
[2.5, 0.0, -6.0],
];
$infer = $this->layer->infer($this->input);
$this->assertInstanceOf(Matrix::class, $infer);
$this->assertEquals($expected, $infer->asArray());
}
}