cs fixer

src/Phpml/Classification/Linear/Perceptron.php

@@ -11,7 +11,6 @@ use Phpml\Helper\Optimizer\GD;
 use Phpml\Classification\Classifier;
 use Phpml\Preprocessing\Normalizer;
 use Phpml\IncrementalEstimator;
-use Phpml\Helper\PartiallyTrainable;
 
 class Perceptron implements Classifier, IncrementalEstimator
 {
@@ -95,7 +94,7 @@ class Perceptron implements Classifier, IncrementalEstimator
      * @param array $targets
      * @param array $labels
      */
-    public function partialTrain(array $samples, array $targets, array $labels = array())
+    public function partialTrain(array $samples, array $targets, array $labels = [])
     {
         return $this->trainByLabel($samples, $targets, $labels);
     }
@@ -107,7 +106,6 @@ class Perceptron implements Classifier, IncrementalEstimator
      */
     public function trainBinary(array $samples, array $targets, array $labels)
     {
-
         if ($this->normalizer) {
             $this->normalizer->transform($samples);
         }

src/Phpml/Helper/OneVsRest.php

@@ -44,7 +44,7 @@ trait OneVsRest
      * @param array $allLabels All training set labels
      * @return void
      */
-    protected function trainByLabel(array $samples, array $targets, array $allLabels = array())
+    protected function trainByLabel(array $samples, array $targets, array $allLabels = [])
     {
 
         // Overwrites the current value if it exist. $allLabels must be provided for each partialTrain run.
@@ -129,14 +129,13 @@ trait OneVsRest
      */
     private function binarizeTargets($targets, $label)
     {
-
         $notLabel = "not_$label";
         foreach ($targets as $key => $target) {
             $targets[$key] = $target == $label ? $label : $notLabel;
         }
 
-        $labels = array($label, $notLabel);
-        return array($targets, $labels);
+        $labels = [$label, $notLabel];
+        return [$targets, $labels];
     }
 
 

src/Phpml/IncrementalEstimator.php

@@ -12,5 +12,5 @@ interface IncrementalEstimator
      * @param array $targets
      * @param array $labels
      */
-    public function partialTrain(array $samples, array $targets, array $labels = array());
+    public function partialTrain(array $samples, array $targets, array $labels = []);
 }

src/Phpml/SupportVectorMachine/SupportVectorMachine.php

@@ -6,12 +6,11 @@ namespace Phpml\SupportVectorMachine;
 
 use Phpml\Helper\Trainable;
 
-
 class SupportVectorMachine
 {
-	 use Trainable;
-	 
-	 /**
+    use Trainable;
+     
+     /**
      * @var int
      */
     private $type;