89 lines
3.3 KiB
PHP
89 lines
3.3 KiB
PHP
<?php
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declare(strict_types=1);
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namespace Phpml\Tests\Classification;
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use Phpml\Classification\DecisionTree;
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use Phpml\ModelManager;
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use PHPUnit\Framework\TestCase;
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class DecisionTreeTest extends TestCase
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{
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private $data = [
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['sunny', 85, 85, 'false', 'Dont_play'],
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['sunny', 80, 90, 'true', 'Dont_play'],
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['overcast', 83, 78, 'false', 'Play'],
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['rain', 70, 96, 'false', 'Play'],
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['rain', 68, 80, 'false', 'Play'],
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['rain', 65, 70, 'true', 'Dont_play'],
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['overcast', 64, 65, 'true', 'Play'],
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['sunny', 72, 95, 'false', 'Dont_play'],
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['sunny', 69, 70, 'false', 'Play'],
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['rain', 75, 80, 'false', 'Play'],
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['sunny', 75, 70, 'true', 'Play'],
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['overcast', 72, 90, 'true', 'Play'],
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['overcast', 81, 75, 'false', 'Play'],
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['rain', 71, 80, 'true', 'Dont_play'],
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];
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private $extraData = [
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['scorching', 90, 95, 'false', 'Dont_play'],
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['scorching', 100, 93, 'true', 'Dont_play'],
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];
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public function testPredictSingleSample()
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{
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[$data, $targets] = $this->getData($this->data);
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$classifier = new DecisionTree(5);
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$classifier->train($data, $targets);
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$this->assertEquals('Dont_play', $classifier->predict(['sunny', 78, 72, 'false']));
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$this->assertEquals('Play', $classifier->predict(['overcast', 60, 60, 'false']));
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$this->assertEquals('Dont_play', $classifier->predict(['rain', 60, 60, 'true']));
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[$data, $targets] = $this->getData($this->extraData);
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$classifier->train($data, $targets);
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$this->assertEquals('Dont_play', $classifier->predict(['scorching', 95, 90, 'true']));
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$this->assertEquals('Play', $classifier->predict(['overcast', 60, 60, 'false']));
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return $classifier;
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}
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public function testSaveAndRestore(): void
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{
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[$data, $targets] = $this->getData($this->data);
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$classifier = new DecisionTree(5);
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$classifier->train($data, $targets);
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$testSamples = [['sunny', 78, 72, 'false'], ['overcast', 60, 60, 'false']];
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$predicted = $classifier->predict($testSamples);
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$filename = 'decision-tree-test-'.random_int(100, 999).'-'.uniqid();
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$filepath = tempnam(sys_get_temp_dir(), $filename);
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$modelManager = new ModelManager();
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$modelManager->saveToFile($classifier, $filepath);
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$restoredClassifier = $modelManager->restoreFromFile($filepath);
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$this->assertEquals($classifier, $restoredClassifier);
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$this->assertEquals($predicted, $restoredClassifier->predict($testSamples));
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}
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public function testTreeDepth(): void
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{
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[$data, $targets] = $this->getData($this->data);
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$classifier = new DecisionTree(5);
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$classifier->train($data, $targets);
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$this->assertTrue($classifier->actualDepth <= 5);
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}
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private function getData($input)
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{
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$targets = array_column($input, 4);
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array_walk($input, function (&$v): void {
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array_splice($v, 4, 1);
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});
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return [$input, $targets];
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}
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}
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