php-ml/tests/Phpml/CrossValidation/StratifiedRandomSplitTest.php

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<?php
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declare(strict_types=1);
namespace tests\Phpml\CrossValidation;
use Phpml\CrossValidation\StratifiedRandomSplit;
use Phpml\Dataset\ArrayDataset;
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use PHPUnit\Framework\TestCase;
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class StratifiedRandomSplitTest extends TestCase
{
public function testDatasetStratifiedRandomSplitWithEvenDistribution()
{
$dataset = new ArrayDataset(
$samples = [[1], [2], [3], [4], [5], [6], [7], [8]],
$labels = ['a', 'a', 'a', 'a', 'b', 'b', 'b', 'b']
);
$split = new StratifiedRandomSplit($dataset, 0.5);
$this->assertEquals(2, $this->countSamplesByTarget($split->getTestLabels(), 'a'));
$this->assertEquals(2, $this->countSamplesByTarget($split->getTestLabels(), 'b'));
$split = new StratifiedRandomSplit($dataset, 0.25);
$this->assertEquals(1, $this->countSamplesByTarget($split->getTestLabels(), 'a'));
$this->assertEquals(1, $this->countSamplesByTarget($split->getTestLabels(), 'b'));
}
public function testDatasetStratifiedRandomSplitWithEvenDistributionAndNumericTargets()
{
$dataset = new ArrayDataset(
$samples = [[1], [2], [3], [4], [5], [6], [7], [8]],
$labels = [1, 2, 1, 2, 1, 2, 1, 2]
);
$split = new StratifiedRandomSplit($dataset, 0.5);
$this->assertEquals(2, $this->countSamplesByTarget($split->getTestLabels(), 1));
$this->assertEquals(2, $this->countSamplesByTarget($split->getTestLabels(), 2));
$split = new StratifiedRandomSplit($dataset, 0.25);
$this->assertEquals(1, $this->countSamplesByTarget($split->getTestLabels(), 1));
$this->assertEquals(1, $this->countSamplesByTarget($split->getTestLabels(), 2));
}
private function countSamplesByTarget($splitTargets, $countTarget): int
{
$count = 0;
foreach ($splitTargets as $target) {
if ($target === $countTarget) {
++$count;
}
}
return $count;
}
}