php-ml/tests/Phpml/Preprocessing/NormalizerTest.php

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<?php
declare (strict_types = 1);
namespace tests\Preprocessing;
use Phpml\Preprocessing\Normalizer;
class NormalizerTest extends \PHPUnit_Framework_TestCase
{
/**
* @expectedException \Phpml\Exception\NormalizerException
*/
public function testThrowExceptionOnInvalidNorm()
{
new Normalizer(99);
}
public function testNormalizeSamplesWithL2Norm()
{
$samples = [
[1, -1, 2],
[2, 0, 0],
[0, 1, -1],
];
$normalized = [
[0.4, -0.4, 0.81],
[1.0, 0.0, 0.0],
[0.0, 0.7, -0.7],
];
$normalizer = new Normalizer();
$normalizer->transform($samples);
$this->assertEquals($normalized, $samples, '', $delta = 0.01);
}
public function testNormalizeSamplesWithL1Norm()
{
$samples = [
[1, -1, 2],
[2, 0, 0],
[0, 1, -1],
];
$normalized = [
[0.25, -0.25, 0.5],
[1.0, 0.0, 0.0],
[0.0, 0.5, -0.5],
];
$normalizer = new Normalizer(Normalizer::NORM_L1);
$normalizer->transform($samples);
$this->assertEquals($normalized, $samples, '', $delta = 0.01);
}
}