Additional training for SVR (#59)

* additional training SVR

* additional training SVR, missed old labels reference

* SVM labels parameter now targets

* SVM member labels now targets

* SVM init targets empty array

src/Phpml/SupportVectorMachine/SupportVectorMachine.php

@@ -4,9 +4,14 @@
 
 namespace Phpml\SupportVectorMachine;
 
+use Phpml\Helper\Trainable;
+
+
 class SupportVectorMachine
 {
-    /**
+	 use Trainable;
+
+	 /**
      * @var int
      */
     private $type;
@@ -84,7 +89,7 @@ class SupportVectorMachine
     /**
      * @var array
      */
-    private $labels;
+    private $targets = [];
 
     /**
      * @param int        $type
@@ -126,12 +131,14 @@ public function __construct(
 
     /**
      * @param array $samples
-     * @param array $labels
+     * @param array $targets
      */
-    public function train(array $samples, array $labels)
+    public function train(array $samples, array $targets)
     {
-        $this->labels = $labels;
-        $trainingSet = DataTransformer::trainingSet($samples, $labels, in_array($this->type, [Type::EPSILON_SVR, Type::NU_SVR]));
+        $this->samples = array_merge($this->samples, $samples);
+        $this->targets = array_merge($this->targets, $targets);
+
+        $trainingSet = DataTransformer::trainingSet($this->samples, $this->targets, in_array($this->type, [Type::EPSILON_SVR, Type::NU_SVR]));
         file_put_contents($trainingSetFileName = $this->varPath.uniqid('phpml', true), $trainingSet);
         $modelFileName = $trainingSetFileName.'-model';
 
@@ -176,7 +183,7 @@ public function predict(array $samples)
         unlink($outputFileName);
 
         if (in_array($this->type, [Type::C_SVC, Type::NU_SVC])) {
-            $predictions = DataTransformer::predictions($predictions, $this->labels);
+            $predictions = DataTransformer::predictions($predictions, $this->targets);
         } else {
             $predictions = explode(PHP_EOL, trim($predictions));
         }