php-ml/tests/Phpml/PipelineTest.php
2016-07-24 13:52:52 +02:00

68 lines
1.6 KiB
PHP

<?php
declare (strict_types = 1);
namespace tests;
use Phpml\Classification\SVC;
use Phpml\FeatureExtraction\TfIdfTransformer;
use Phpml\Pipeline;
use Phpml\Preprocessing\Imputer;
use Phpml\Preprocessing\Normalizer;
use Phpml\Preprocessing\Imputer\Strategy\MostFrequentStrategy;
use Phpml\Regression\SVR;
class PipelineTest extends \PHPUnit_Framework_TestCase
{
public function testPipelineConstruction()
{
$transformers = [
new TfIdfTransformer(),
];
$estimator = new SVC();
$pipeline = new Pipeline($transformers, $estimator);
$this->assertEquals($transformers, $pipeline->getTransformers());
$this->assertEquals($estimator, $pipeline->getEstimator());
}
public function testPipelineEstimatorSetter()
{
$pipeline = new Pipeline([new TfIdfTransformer()], new SVC());
$estimator = new SVR();
$pipeline->setEstimator($estimator);
$this->assertEquals($estimator, $pipeline->getEstimator());
}
public function testPipelineWorkflow()
{
$transformers = [
new Imputer(null, new MostFrequentStrategy()),
new Normalizer(),
];
$estimator = new SVC();
$samples = [
[1, -1, 2],
[2, 0, null],
[null, 1, -1],
];
$targets = [
4,
1,
4,
];
$pipeline = new Pipeline($transformers, $estimator);
$pipeline->train($samples, $targets);
$predicted = $pipeline->predict([[0, 0, 0]]);
$this->assertEquals(4, $predicted[0]);
}
}