php-ai / php-ml

src/Phpml/Clustering/KMeans/Cluster.php

Indentation +2 added lines, -2 removed lines

@@ -138,8 +138,8 @@
     }
     
     /**
-    * @param array $newCoordinates
-    */
+     * @param array $newCoordinates
+     */
     public function setCoordinates(array $newCoordinates)
     {
         $this->coordinates = $newCoordinates;

src/Phpml/Classification/Linear/Perceptron.php

Indentation +1 added lines, -1 removed lines

@@ -97,7 +97,7 @@
         return $this->trainByLabel($samples, $targets, $labels);
     }
 
-   /**
+    /**
      * @param array $samples
      * @param array $targets
      * @param array $labels

src/Phpml/DimensionReduction/KernelPCA.php

Indentation +3 added lines, -3 removed lines

@@ -136,9 +136,9 @@
         $N_K_N = $N->multiply($K_N);
 
         return $K->subtract($N_K)
-                 ->subtract($K_N)
-                 ->add($N_K_N)
-                 ->toArray();
+                    ->subtract($K_N)
+                    ->add($N_K_N)
+                    ->toArray();
     }
 
     /**

src/Phpml/SupportVectorMachine/SupportVectorMachine.php

Indentation +3 added lines, -3 removed lines

@@ -10,9 +10,9 @@
 {
     use Trainable;
      
-     /**
-     * @var int
-     */
+        /**
+         * @var int
+         */
     private $type;
 
     /**

src/Phpml/Math/LinearAlgebra/EigenvalueDecomposition.php

Indentation +9 added lines, -9 removed lines

@@ -58,21 +58,21 @@
     private $V = [];
 
     /**
-    *	Array for internal storage of nonsymmetric Hessenberg form.
-    *	@var array
-    */
+     *	Array for internal storage of nonsymmetric Hessenberg form.
+     *	@var array
+     */
     private $H = [];
 
     /**
-    *	Working storage for nonsymmetric algorithm.
-    *	@var array
-    */
+     *	Working storage for nonsymmetric algorithm.
+     *	@var array
+     */
     private $ort;
 
     /**
-    *	Used for complex scalar division.
-    *	@var float
-    */
+     *	Used for complex scalar division.
+     *	@var float
+     */
     private $cdivr;
     private $cdivi;