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declare (strict_types = 1); |
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namespace Phpml\SupportVectorMachine; |
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class SupportVectorMachine |
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{ |
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/** |
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* @var int |
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*/ |
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private $type; |
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/** |
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* @var int |
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*/ |
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private $kernel; |
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/** |
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* @var float |
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*/ |
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private $cost; |
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/** |
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* @var float |
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*/ |
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private $nu; |
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/** |
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* @var int |
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*/ |
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private $degree; |
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/** |
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* @var float |
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*/ |
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private $gamma; |
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/** |
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* @var float |
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*/ |
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private $coef0; |
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/** |
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* @var float |
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*/ |
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private $epsilon; |
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/** |
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* @var float |
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*/ |
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private $tolerance; |
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/** |
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* @var int |
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*/ |
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private $cacheSize; |
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/** |
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* @var bool |
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*/ |
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private $shrinking; |
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/** |
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* @var bool |
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*/ |
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private $probabilityEstimates; |
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/** |
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* @var string |
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*/ |
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private $binPath; |
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/** |
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* @var string |
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*/ |
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private $varPath; |
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/** |
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* @var string |
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*/ |
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private $model; |
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/** |
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* @var array |
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*/ |
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private $labels; |
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/** |
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* @param int $type |
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* @param int $kernel |
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* @param float $cost |
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* @param float $nu |
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* @param int $degree |
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* @param float|null $gamma |
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* @param float $coef0 |
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* @param float $epsilon |
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* @param float $tolerance |
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* @param int $cacheSize |
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* @param bool $shrinking |
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* @param bool $probabilityEstimates |
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*/ |
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public function __construct( |
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int $type, int $kernel, float $cost = 1.0, float $nu = 0.5, int $degree = 3, |
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float $gamma = null, float $coef0 = 0.0, float $epsilon = 0.1, float $tolerance = 0.001, |
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int $cacheSize = 100, bool $shrinking = true, bool $probabilityEstimates = false |
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) { |
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$this->type = $type; |
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$this->kernel = $kernel; |
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$this->cost = $cost; |
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$this->nu = $nu; |
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$this->degree = $degree; |
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$this->gamma = $gamma; |
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$this->coef0 = $coef0; |
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$this->epsilon = $epsilon; |
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$this->tolerance = $tolerance; |
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$this->cacheSize = $cacheSize; |
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$this->shrinking = $shrinking; |
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$this->probabilityEstimates = $probabilityEstimates; |
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$rootPath = realpath(implode(DIRECTORY_SEPARATOR, [dirname(__FILE__), '..', '..', '..'])).DIRECTORY_SEPARATOR; |
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$this->binPath = $rootPath.'bin'.DIRECTORY_SEPARATOR.'libsvm'.DIRECTORY_SEPARATOR; |
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$this->varPath = $rootPath.'var'.DIRECTORY_SEPARATOR; |
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} |
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/** |
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* @param array $samples |
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* @param array $labels |
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*/ |
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public function train(array $samples, array $labels) |
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{ |
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$this->labels = $labels; |
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$trainingSet = DataTransformer::trainingSet($samples, $labels, in_array($this->type, [Type::EPSILON_SVR, Type::NU_SVR])); |
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file_put_contents($trainingSetFileName = $this->varPath.uniqid(), $trainingSet); |
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$modelFileName = $trainingSetFileName.'-model'; |
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$command = $this->buildTrainCommand($trainingSetFileName, $modelFileName); |
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$output = ''; |
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exec(escapeshellcmd($command), $output); |
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$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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/** |
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* @return string |
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*/ |
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public function getModel() |
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{ |
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return $this->model; |
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} |
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/** |
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* @param array $samples |
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* |
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* @return array |
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*/ |
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public function predict(array $samples) |
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{ |
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$testSet = DataTransformer::testSet($samples); |
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file_put_contents($testSetFileName = $this->varPath.uniqid(), $testSet); |
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file_put_contents($modelFileName = $testSetFileName.'-model', $this->model); |
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$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), $output); |
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$predictions = file_get_contents($outputFileName); |
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unlink($testSetFileName); |
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unlink($modelFileName); |
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unlink($outputFileName); |
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if (in_array($this->type, [Type::C_SVC, Type::NU_SVC])) { |
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$predictions = DataTransformer::predictions($predictions, $this->labels); |
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} else { |
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$predictions = explode(PHP_EOL, trim($predictions)); |
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} |
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if (!is_array($samples[0])) { |
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return $predictions[0]; |
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} |
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return $predictions; |
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} |
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/** |
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* @return string |
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*/ |
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private function getOSExtension() |
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{ |
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if (strtoupper(substr(PHP_OS, 0, 3)) === 'WIN') { |
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return '.exe'; |
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} |
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return ''; |
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} |
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/** |
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* @param $trainingSetFileName |
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* @param $modelFileName |
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* |
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* @return string |
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*/ |
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private function buildTrainCommand(string $trainingSetFileName, string $modelFileName): string |
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{ |
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return sprintf('%ssvm-train%s -s %s -t %s -c %s -n %s -d %s%s -r %s -p %s -m %s -e %s -h %d -b %d \'%s\' \'%s\'', |
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$this->binPath, |
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$this->getOSExtension(), |
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$this->type, |
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$this->kernel, |
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$this->cost, |
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$this->nu, |
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$this->degree, |
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$this->gamma !== null ? ' -g '.$this->gamma : '', |
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$this->coef0, |
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$this->epsilon, |
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$this->cacheSize, |
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$this->tolerance, |
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$this->shrinking, |
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$this->probabilityEstimates, |
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$trainingSetFileName, |
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$modelFileName |
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); |
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} |
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} |
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php-ai /
php-ml
