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726cf4cddf
* travis: move coveralls here, decouple from package * composer: use PSR4 * phpunit: simpler config * travis: add ecs run * composer: add ecs dev * use standard vendor/bin directory for dependency bins, confuses with local bins and require gitignore handling * ecs: add PSR2 * [cs] PSR2 spacing fixes * [cs] PSR2 class name fix * [cs] PHP7 fixes - return semicolon spaces, old rand functions, typehints * [cs] fix less strict typehints * fix typehints to make tests pass * ecs: ignore typehint-less elements * [cs] standardize arrays * [cs] standardize docblock, remove unused comments * [cs] use self where possible * [cs] sort class elements, from public to private * [cs] do not use yoda (found less yoda-cases, than non-yoda) * space * [cs] do not assign in condition * [cs] use namespace imports if possible * [cs] use ::class over strings * [cs] fix defaults for arrays properties, properties and constants single spacing * cleanup ecs comments * [cs] use item per line in multi-items array * missing line * misc * rebase
70 lines
2.5 KiB
PHP
70 lines
2.5 KiB
PHP
<?php
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declare(strict_types=1);
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namespace tests\Phpml\Classification;
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use Phpml\Classification\SVC;
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use Phpml\ModelManager;
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use Phpml\SupportVectorMachine\Kernel;
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use PHPUnit\Framework\TestCase;
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class SVCTest extends TestCase
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{
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public function testPredictSingleSampleWithLinearKernel(): void
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{
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$samples = [[1, 3], [1, 4], [2, 4], [3, 1], [4, 1], [4, 2]];
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$labels = ['a', 'a', 'a', 'b', 'b', 'b'];
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$classifier = new SVC(Kernel::LINEAR, $cost = 1000);
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$classifier->train($samples, $labels);
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$this->assertEquals('b', $classifier->predict([3, 2]));
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$this->assertEquals('b', $classifier->predict([5, 1]));
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$this->assertEquals('b', $classifier->predict([4, 3]));
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$this->assertEquals('b', $classifier->predict([4, -5]));
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$this->assertEquals('a', $classifier->predict([2, 3]));
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$this->assertEquals('a', $classifier->predict([1, 2]));
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$this->assertEquals('a', $classifier->predict([1, 5]));
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$this->assertEquals('a', $classifier->predict([3, 10]));
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}
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public function testPredictArrayOfSamplesWithLinearKernel(): void
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{
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$trainSamples = [[1, 3], [1, 4], [2, 4], [3, 1], [4, 1], [4, 2]];
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$trainLabels = ['a', 'a', 'a', 'b', 'b', 'b'];
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$testSamples = [[3, 2], [5, 1], [4, 3], [4, -5], [2, 3], [1, 2], [1, 5], [3, 10]];
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$testLabels = ['b', 'b', 'b', 'b', 'a', 'a', 'a', 'a'];
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$classifier = new SVC(Kernel::LINEAR, $cost = 1000);
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$classifier->train($trainSamples, $trainLabels);
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$predictions = $classifier->predict($testSamples);
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$this->assertEquals($testLabels, $predictions);
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}
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public function testSaveAndRestore(): void
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{
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$trainSamples = [[1, 3], [1, 4], [2, 4], [3, 1], [4, 1], [4, 2]];
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$trainLabels = ['a', 'a', 'a', 'b', 'b', 'b'];
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$testSamples = [[3, 2], [5, 1], [4, 3]];
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$testLabels = ['b', 'b', 'b'];
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$classifier = new SVC(Kernel::LINEAR, $cost = 1000);
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$classifier->train($trainSamples, $trainLabels);
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$predicted = $classifier->predict($testSamples);
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$filename = 'svc-test-'.random_int(100, 999).'-'.uniqid();
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$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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}
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