news_producer/vendor/markrogoyski/math-php/tests/Statistics/Regression/HanesWoolfTest.php

<?php

namespace MathPHP\Tests\Statistics\Regression;

use MathPHP\Statistics\Regression\HanesWoolf;

class HanesWoolfTest extends \PHPUnit\Framework\TestCase
{
    /**
     * @test         getParameters
     * @dataProvider dataProviderForParameters
     * @param        array $points
     * @param        float $V
     * @param        float $K
     */
    public function testGetParameters(array $points, float $V, float $K)
    {
        // Given
        $regression = new HanesWoolf($points);

        // When
        $parameters = $regression->getParameters();

        // Then
        $this->assertEqualsWithDelta($V, $parameters['V'], 0.0001);
        $this->assertEqualsWithDelta($K, $parameters['K'], 0.0001);
    }

    /**
     * @return array [points, V, K]
     */
    public function dataProviderForParameters(): array
    {
        return [
            [
                [[.038, .05], [.194, .127], [.425, .094], [.626, .2122], [1.253, .2729], [2.5, .2665], [3.740, .3317]],
                0.361512337, 0.554178955,
            ],
        ];
    }

    /**
     * @test         evaluate
     * @dataProvider dataProviderForEvaluate
     * @param        array $points
     * @param        $x
     * @param        $expected_y
     */
    public function testEvaluate(array $points, float $x, float $expected_y)
    {
        // Given
        $regression = new HanesWoolf($points);

        // When
        $y = $regression->evaluate($x);

        // Then
        $this->assertEqualsWithDelta($expected_y, $y, 0.0001);
    }

    /**
     * @return array [points, x, expected y]
     */
    public function dataProviderForEvaluate(): array
    {
        return [
            [
                [[.038, .05], [.194, .127], [.425, .094], [.626, .2122], [1.253, .2729], [2.5, .2665], [3.740, .3317]],
                5,
                0.3254417
            ],
        ];
    }
}