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Change the default kernel type in SVC to Kernel::RBF (#267) 

* Change the default kernel type in SVC to Kernel::RBF

* Update CHANGELOG.md
This commit is contained in:
Yuji Uchiyama 2018-06-21 06:28:11 +09:00 committed by Arkadiusz Kondas
parent 46fa2c2cca
commit ab22cc5b68
3 changed files with 3 additions and 2 deletions
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1
CHANGELOG.md
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@ -4,6 +4,7 @@ CHANGELOG
This changelog references the relevant changes done in PHP-ML library. This changelog references the relevant changes done in PHP-ML library.
* Unreleased * Unreleased
* feature [Dataset] changed the default kernel type in SVC to Kernel::RBF (#267)
* feature [Clustering] added KMeans associative clustering (#262) * feature [Clustering] added KMeans associative clustering (#262)
* feature [Dataset] added removeColumns function to ArrayDataset (#249) * feature [Dataset] added removeColumns function to ArrayDataset (#249)
* feature [Dataset] added a SvmDataset class for SVM-Light (or LibSVM) format files (#237) * feature [Dataset] added a SvmDataset class for SVM-Light (or LibSVM) format files (#237)

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docs/machine-learning/classification/svc.md
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@ -4,7 +4,7 @@ Classifier implementing Support Vector Machine based on libsvm.
### Constructor Parameters ### Constructor Parameters
* $kernel (int) - kernel type to be used in the algorithm (default Kernel::LINEAR) * $kernel (int) - kernel type to be used in the algorithm (default Kernel::RBF)
* $cost (float) - parameter C of C-SVC (default 1.0) * $cost (float) - parameter C of C-SVC (default 1.0)
* $degree (int) - degree of the Kernel::POLYNOMIAL function (default 3) * $degree (int) - degree of the Kernel::POLYNOMIAL function (default 3)
* $gamma (float) - kernel coefficient for ‘Kernel::RBF’, ‘Kernel::POLYNOMIAL’ and ‘Kernel::SIGMOID’. If gamma is ‘null’ then 1/features will be used instead. * $gamma (float) - kernel coefficient for ‘Kernel::RBF’, ‘Kernel::POLYNOMIAL’ and ‘Kernel::SIGMOID’. If gamma is ‘null’ then 1/features will be used instead.

2
src/Classification/SVC.php
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@ -11,7 +11,7 @@ use Phpml\SupportVectorMachine\Type;
class SVC extends SupportVectorMachine implements Classifier class SVC extends SupportVectorMachine implements Classifier
{ {
public function __construct( public function __construct(
int $kernel = Kernel::LINEAR, int $kernel = Kernel::RBF,
float $cost = 1.0, float $cost = 1.0,
int $degree = 3, int $degree = 3,
?float $gamma = null, ?float $gamma = null,