| 메소드 | 설명 | |
|---|---|---|
| __construct ( integer $type, integer $kernel, float $cost = 1, float $nu = 0.5, integer $degree = 3, float $gamma = null, float $coef0, float $epsilon = 0.1, float $tolerance = 0.001, integer $cacheSize = 100, boolean $shrinking = true, boolean $probabilityEstimates = false ) | ||
| getModel ( ) : string | ||
| predict ( array $samples ) : array | ||
| train ( array $samples, array $labels ) |
| 메소드 | 설명 | |
|---|---|---|
| buildTrainCommand ( string $trainingSetFileName, string $modelFileName ) : string | ||
| getOSExtension ( ) : string |
| public __construct ( integer $type, integer $kernel, float $cost = 1, float $nu = 0.5, integer $degree = 3, float $gamma = null, float $coef0, float $epsilon = 0.1, float $tolerance = 0.001, integer $cacheSize = 100, boolean $shrinking = true, boolean $probabilityEstimates = false ) | ||
| $type | integer | |
| $kernel | integer | |
| $cost | float | |
| $nu | float | |
| $degree | integer | |
| $gamma | float | |
| $coef0 | float | |
| $epsilon | float | |
| $tolerance | float | |
| $cacheSize | integer | |
| $shrinking | boolean | |
| $probabilityEstimates | boolean | |