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53 lines
2.0 KiB
PHP
53 lines
2.0 KiB
PHP
<?php
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declare (strict_types = 1);
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namespace tests\Regression;
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use Phpml\Regression\LeastSquares;
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class LeastSquaresTest extends \PHPUnit_Framework_TestCase
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{
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public function testPredictSingleFeatureSamples()
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{
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$delta = 0.01;
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//https://www.easycalculation.com/analytical/learn-least-square-regression.php
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$samples = [[60], [61], [62], [63], [65]];
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$targets = [3.1, 3.6, 3.8, 4, 4.1];
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$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 = [[9300], [10565], [15000], [15000], [17764], [57000], [65940], [73676], [77006], [93739], [146088], [153260]];
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$targets = [7100, 15500, 4400, 4400, 5900, 4600, 8800, 2000, 2750, 2550, 960, 1025];
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$regression = new LeastSquares();
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$regression->train($samples, $targets);
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$this->assertEquals(7659.35, $regression->predict([9300]), '', $delta);
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$this->assertEquals(5213.81, $regression->predict([57000]), '', $delta);
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$this->assertEquals(4188.13, $regression->predict([77006]), '', $delta);
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$this->assertEquals(7659.35, $regression->predict([9300]), '', $delta);
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$this->assertEquals(278.66, $regression->predict([153260]), '', $delta);
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}
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public function testPredictMultiFeaturesSamples()
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{
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$delta = 0.01;
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//http://www.stat.wmich.edu/s216/book/node129.html
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$samples = [[73676, 1996],[77006,1998],[ 10565, 2000],[146088, 1995],[ 15000, 2001],[ 65940, 2000],[ 9300, 2000],[ 93739, 1996],[153260, 1994],[ 17764, 2002],[ 57000, 1998],[ 15000, 2000]];
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$targets = [2000, 2750, 15500, 960, 4400, 8800, 7100, 2550, 1025, 5900, 4600, 4400];
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$regression = new LeastSquares();
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$regression->train($samples, $targets);
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$this->assertEquals(3807, $regression->predict([60000, 1996]), '', $delta);
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}
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}
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