code style fixes

src/Phpml/Regression/MLPRegressor.php

@@ -4,7 +4,6 @@
 
 namespace Phpml\Regression;
 
-
 use Phpml\Helper\Predictable;
 use Phpml\NeuralNetwork\ActivationFunction;
 use Phpml\NeuralNetwork\Network\MultilayerPerceptron;
@@ -40,27 +39,28 @@ class MLPRegressor implements Regression
     private $activationFunction;
 
     /**
-     * @param array $hiddenLayers
-     * @param float $desiredError
-     * @param int $maxIterations
+     * @param array              $hiddenLayers
+     * @param float              $desiredError
+     * @param int                $maxIterations
      * @param ActivationFunction $activationFunction
      */
-    public function __construct(array $hiddenLayers = [100], float $desiredError, int $maxIterations, ActivationFunction $activationFunction = null)
+    public function __construct(array $hiddenLayers = [10], float $desiredError = 0.01, int $maxIterations = 10000, ActivationFunction $activationFunction = null)
     {
         $this->hiddenLayers = $hiddenLayers;
         $this->desiredError = $desiredError;
         $this->maxIterations = $maxIterations;
         $this->activationFunction = $activationFunction;
     }
 
-
     /**
      * @param array $samples
      * @param array $targets
      */
     public function train(array $samples, array $targets)
     {
-        $layers = [count($samples[0])] + $this->hiddenLayers + [count($targets[0])];
+        $layers = $this->hiddenLayers;
+        array_unshift($layers, count($samples[0]));
+        $layers[] = count($targets[0]);
 
         $this->perceptron = new MultilayerPerceptron($layers, $this->activationFunction);
 
@@ -77,5 +77,4 @@ protected function predictSample(array $sample)
     {
         return $this->perceptron->setInput($sample)->getOutput();
     }
-
 }