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Add libsvm exception tests (#202)
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@ -8,8 +8,8 @@ use Exception;
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class LibsvmCommandException extends Exception
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{
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public static function failedToRun(string $command): self
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public static function failedToRun(string $command, string $reason): self
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{
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return new self(sprintf('Failed running libsvm command: "%s"', $command));
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return new self(sprintf('Failed running libsvm command: "%s" with reason: "%s"', $command, $reason));
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}
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}
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@ -153,16 +153,17 @@ class SupportVectorMachine
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$modelFileName = $trainingSetFileName.'-model';
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$command = $this->buildTrainCommand($trainingSetFileName, $modelFileName);
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$output = '';
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exec(escapeshellcmd($command), $output, $return);
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$output = [];
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exec(escapeshellcmd($command).' 2>&1', $output, $return);
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unlink($trainingSetFileName);
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if ($return !== 0) {
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throw LibsvmCommandException::failedToRun($command);
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throw LibsvmCommandException::failedToRun($command, array_pop($output));
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}
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$this->model = file_get_contents($modelFileName);
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unlink($trainingSetFileName);
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unlink($modelFileName);
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}
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@ -184,19 +185,19 @@ class SupportVectorMachine
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$outputFileName = $testSetFileName.'-output';
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$command = sprintf('%ssvm-predict%s %s %s %s', $this->binPath, $this->getOSExtension(), $testSetFileName, $modelFileName, $outputFileName);
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$output = '';
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exec(escapeshellcmd($command), $output, $return);
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if ($return !== 0) {
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throw LibsvmCommandException::failedToRun($command);
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}
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$predictions = file_get_contents($outputFileName);
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$output = [];
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exec(escapeshellcmd($command).' 2>&1', $output, $return);
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unlink($testSetFileName);
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unlink($modelFileName);
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$predictions = file_get_contents($outputFileName);
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unlink($outputFileName);
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if ($return !== 0) {
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throw LibsvmCommandException::failedToRun($command, array_pop($output));
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}
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if (in_array($this->type, [Type::C_SVC, Type::NU_SVC])) {
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$predictions = DataTransformer::predictions($predictions, $this->targets);
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} else {
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@ -5,6 +5,7 @@ declare(strict_types=1);
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namespace Phpml\Tests\SupportVectorMachine;
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use Phpml\Exception\InvalidArgumentException;
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use Phpml\Exception\LibsvmCommandException;
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use Phpml\SupportVectorMachine\Kernel;
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use Phpml\SupportVectorMachine\SupportVectorMachine;
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use Phpml\SupportVectorMachine\Type;
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@ -105,4 +106,22 @@ SV
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$svm = new SupportVectorMachine(Type::C_SVC, Kernel::RBF);
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$svm->setBinPath('var');
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}
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public function testThrowExceptionWhenLibsvmFailsDuringTrain(): void
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{
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$this->expectException(LibsvmCommandException::class);
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$this->expectExceptionMessage('ERROR: unknown svm type');
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$svm = new SupportVectorMachine(99, Kernel::RBF);
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$svm->train([], []);
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}
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public function testThrowExceptionWhenLibsvmFailsDuringPredict(): void
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{
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$this->expectException(LibsvmCommandException::class);
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$this->expectExceptionMessage('can\'t open model file');
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$svm = new SupportVectorMachine(Type::C_SVC, Kernel::RBF);
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$svm->predict([1]);
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}
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}
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