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Make SVM non-locale aware (#288)
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@ -15,6 +15,7 @@ This changelog references the relevant changes done in PHP-ML library.
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* fix ensure DataTransformer::testSet samples array is not empty (#204)
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* fix optimizer initial theta randomization (#239)
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* fix travis build on osx (#281)
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* fix SVM locale (non-locale aware) (#288)
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* typo, tests, code styles and documentation fixes (#265, #261, #254, #253, #251, #250, #248, #245, #243)
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* 0.6.2 (2018-02-22)
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@ -104,7 +104,7 @@ class DataTransformer
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{
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$row = [];
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foreach ($sample as $index => $feature) {
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$row[] = sprintf('%s:%s', $index + 1, $feature);
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$row[] = sprintf('%s:%F', $index + 1, $feature);
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}
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return implode(' ', $row);
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@ -269,7 +269,7 @@ class SupportVectorMachine
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private function buildTrainCommand(string $trainingSetFileName, string $modelFileName): string
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{
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return sprintf(
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'%ssvm-train%s -s %s -t %s -c %s -n %s -d %s%s -r %s -p %s -m %s -e %s -h %d -b %d %s %s',
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'%ssvm-train%s -s %s -t %s -c %s -n %F -d %s%s -r %s -p %F -m %F -e %F -h %d -b %d %s %s',
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$this->binPath,
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$this->getOSExtension(),
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$this->type,
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@ -57,13 +57,32 @@ class SVCTest extends TestCase
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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(), $filename);
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$filepath = tempnam(sys_get_temp_dir(), uniqid('svc-test', true));
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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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$this->assertEquals($predicted, $testLabels);
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}
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public function testWithNonDotDecimalLocale(): void
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{
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$currentLocale = setlocale(LC_NUMERIC, '0');
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setlocale(LC_NUMERIC, 'pl_PL.utf8');
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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, $trainLabels);
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$this->assertEquals($classifier->predict($testSamples), $testLabels);
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setlocale(LC_NUMERIC, $currentLocale);
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}
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}
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@ -16,10 +16,10 @@ class DataTransformerTest extends TestCase
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$labels = ['a', 'a', 'b', 'b'];
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$trainingSet =
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'0 1:1 2:1 '.PHP_EOL.
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'0 1:2 2:1 '.PHP_EOL.
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'1 1:3 2:2 '.PHP_EOL.
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'1 1:4 2:5 '.PHP_EOL
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'0 1:1.000000 2:1.000000 '.PHP_EOL.
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'0 1:2.000000 2:1.000000 '.PHP_EOL.
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'1 1:3.000000 2:2.000000 '.PHP_EOL.
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'1 1:4.000000 2:5.000000 '.PHP_EOL
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;
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$this->assertEquals($trainingSet, DataTransformer::trainingSet($samples, $labels));
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@ -30,10 +30,10 @@ class DataTransformerTest extends TestCase
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$samples = [[1, 1], [2, 1], [3, 2], [4, 5]];
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$testSet =
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'0 1:1 2:1 '.PHP_EOL.
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'0 1:2 2:1 '.PHP_EOL.
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'0 1:3 2:2 '.PHP_EOL.
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'0 1:4 2:5 '.PHP_EOL
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'0 1:1.000000 2:1.000000 '.PHP_EOL.
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'0 1:2.000000 2:1.000000 '.PHP_EOL.
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'0 1:3.000000 2:2.000000 '.PHP_EOL.
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'0 1:4.000000 2:5.000000 '.PHP_EOL
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;
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$this->assertEquals($testSet, DataTransformer::testSet($samples));
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