php-ml/tests/Phpml/Classification/DecisionTreeTest.php

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<?php
declare(strict_types=1);
namespace tests\Classification;
use Phpml\Classification\DecisionTree;
class DecisionTreeTest extends \PHPUnit_Framework_TestCase
{
public $data = [
['sunny', 85, 85, 'false', 'Dont_play' ],
['sunny', 80, 90, 'true', 'Dont_play' ],
['overcast', 83, 78, 'false', 'Play' ],
['rain', 70, 96, 'false', 'Play' ],
['rain', 68, 80, 'false', 'Play' ],
['rain', 65, 70, 'true', 'Dont_play' ],
['overcast', 64, 65, 'true', 'Play' ],
['sunny', 72, 95, 'false', 'Dont_play' ],
['sunny', 69, 70, 'false', 'Play' ],
['rain', 75, 80, 'false', 'Play' ],
['sunny', 75, 70, 'true', 'Play' ],
['overcast', 72, 90, 'true', 'Play' ],
['overcast', 81, 75, 'false', 'Play' ],
['rain', 71, 80, 'true', 'Dont_play' ]
];
public function getData()
{
static $data = null, $targets = null;
if ($data == null) {
$data = $this->data;
$targets = array_column($data, 4);
array_walk($data, function (&$v) {
array_splice($v, 4, 1);
});
}
return [$data, $targets];
}
public function testPredictSingleSample()
{
list($data, $targets) = $this->getData();
$classifier = new DecisionTree(5);
$classifier->train($data, $targets);
$this->assertEquals('Dont_play', $classifier->predict(['sunny', 78, 72, 'false']));
$this->assertEquals('Play', $classifier->predict(['overcast', 60, 60, 'false']));
$this->assertEquals('Dont_play', $classifier->predict(['rain', 60, 60, 'true']));
return $classifier;
}
public function testTreeDepth()
{
list($data, $targets) = $this->getData();
$classifier = new DecisionTree(5);
$classifier->train($data, $targets);
$this->assertTrue(5 >= $classifier->actualDepth);
}
}