php-ml/tests/Phpml/Regression/LeastSquaresTest.php

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<?php
declare (strict_types = 1);
namespace tests\Regression;
use Phpml\Regression\LeastSquares;
class LeastSquaresTest extends \PHPUnit_Framework_TestCase
{
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public function testPredictSingleFeatureSamples()
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{
$delta = 0.01;
//https://www.easycalculation.com/analytical/learn-least-square-regression.php
$samples = [[1, 60], [1, 61], [1, 62], [1, 63], [1, 65]];
$targets = [[3.1], [3.6], [3.8], [4], [4.1]];
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$regression = new LeastSquares();
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$regression->train($samples, $targets);
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$this->assertEquals(4.06, $regression->predict([64]), '', $delta);
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//http://www.stat.wmich.edu/s216/book/node127.html
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$samples = [[1, 9300], [1, 10565], [1, 15000], [1, 15000], [1, 17764], [1, 57000], [1, 65940], [1, 73676], [1, 77006], [1, 93739], [1, 146088], [1, 153260]];
$targets = [[7100], [15500], [4400], [4400], [5900], [4600], [8800], [2000], [2750], [2550], [960], [1025]];
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$regression = new LeastSquares();
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$regression->train($samples, $targets);
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$this->assertEquals(7659.35, $regression->predict([9300]), '', $delta);
$this->assertEquals(5213.81, $regression->predict([57000]), '', $delta);
$this->assertEquals(4188.13, $regression->predict([77006]), '', $delta);
$this->assertEquals(7659.35, $regression->predict([9300]), '', $delta);
$this->assertEquals(278.66, $regression->predict([153260]), '', $delta);
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}
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public function testPredictMultiFeaturesSamples()
{
$delta = 1;
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//http://www.stat.wmich.edu/s216/book/node129.html
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$samples = [[1, 73676, 1996], [1, 77006, 1998], [1, 10565, 2000], [1, 146088, 1995], [1, 15000, 2001], [1, 65940, 2000], [1, 9300, 2000], [1, 93739, 1996], [1, 153260, 1994], [1, 17764, 2002], [1, 57000, 1998], [1, 15000, 2000]];
$targets = [[2000], [2750], [15500], [960], [4400], [8800], [7100], [2550], [1025], [5900], [4600], [4400]];
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$regression = new LeastSquares();
$regression->train($samples, $targets);
$this->assertEquals(4094, $regression->predict([60000, 1996]), '', $delta);
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}
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}