public function testPredictSampleFromMultipleClassWithRbfKernel()
{
$samples = [[1, 3], [1, 4], [1, 4], [3, 1], [4, 1], [4, 2], [-3, -1], [-4, -1], [-4, -2]];
$labels = ['a', 'a', 'a', 'b', 'b', 'b', 'c', 'c', 'c'];
$svm = new SupportVectorMachine(Type::C_SVC, Kernel::RBF, 100.0);
$svm->train($samples, $labels);
$predictions = $svm->predict([[1, 5], [4, 3], [-4, -3]]);
$this->assertEquals('a', $predictions[0]);
$this->assertEquals('b', $predictions[1]);
$this->assertEquals('c', $predictions[2]);
}
/**
* @param int $kernel
* @param int $degree
* @param float $epsilon
* @param float $cost
* @param float|null $gamma
* @param float $coef0
* @param float $tolerance
* @param int $cacheSize
* @param bool $shrinking
*/
public function __construct(int $kernel = Kernel::RBF, int $degree = 3, float $epsilon = 0.1, float $cost = 1.0, float $gamma = null, float $coef0 = 0.0, float $tolerance = 0.001, int $cacheSize = 100, bool $shrinking = true)
{
parent::__construct(Type::EPSILON_SVR, $kernel, $cost, 0.5, $degree, $gamma, $coef0, $epsilon, $tolerance, $cacheSize, $shrinking, false);
}
/**
* @param int $kernel
* @param float $cost
* @param int $degree
* @param float|null $gamma
* @param float $coef0
* @param float $tolerance
* @param int $cacheSize
* @param bool $shrinking
* @param bool $probabilityEstimates
*/
public function __construct(int $kernel = Kernel::LINEAR, float $cost = 1.0, int $degree = 3, float $gamma = null, float $coef0 = 0.0, float $tolerance = 0.001, int $cacheSize = 100, bool $shrinking = true, bool $probabilityEstimates = false)
{
parent::__construct(Type::C_SVC, $kernel, $cost, 0.5, $degree, $gamma, $coef0, 0.1, $tolerance, $cacheSize, $shrinking, $probabilityEstimates);
}
