php-ai / php-ml

src/Phpml/Clustering/KMeans/Cluster.php

Doc Comments +1 added lines, -1 removed lines

@@ -128,7 +128,7 @@
     }
 
     /**
-     * @return mixed
+     * @return integer
      */
     public function count()
     {

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/Math/LinearAlgebra/EigenvalueDecomposition.php

Indentation +12 added lines, -12 removed lines

@@ -65,24 +65,24 @@
     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;
 

src/Phpml/NeuralNetwork/Training/Backpropagation.php

Doc Comments +1 added lines, -1 removed lines

@@ -30,7 +30,7 @@
     }
 
     /**
-     * @param mixed $targetClass
+     * @param integer $targetClass
      */
     public function backpropagate(array $layers, $targetClass)
     {

src/Phpml/Math/Matrix.php

Doc Comments +1 added lines

@@ -88,6 +88,7 @@
 
     /**
      * @throws MatrixException
+     * @param integer $column
      */
     public function getColumnValues($column) : array
     {

src/Phpml/Classification/Linear/LogisticRegression.php

Indentation -1 removed lines

@@ -256,7 +256,6 @@
      *
      * The probability is simply taken as the distance of the sample
      * to the decision plane.
-
      * @param mixed $label
      */
     protected function predictProbability(array $sample, $label) : float