php-ai / php-ml

src/Phpml/NeuralNetwork/Training/Backpropagation/Sigma.php

Spacing +1 added lines, -1 removed lines

@@ -1,6 +1,6 @@
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\NeuralNetwork\Training\Backpropagation;
 

src/Phpml/NeuralNetwork/ActivationFunction/Gaussian.php

Spacing +1 added lines, -1 removed lines

@@ -1,6 +1,6 @@
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\NeuralNetwork\ActivationFunction;
 

src/Phpml/NeuralNetwork/Network/LayeredNetwork.php

Spacing +1 added lines, -1 removed lines

@@ -1,6 +1,6 @@
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\NeuralNetwork\Network;
 

src/Phpml/CrossValidation/Split.php

Spacing +1 added lines, -1 removed lines

@@ -1,6 +1,6 @@
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\CrossValidation;
 

src/Phpml/Tokenization/WordTokenizer.php

Spacing +1 added lines, -1 removed lines

@@ -1,6 +1,6 @@
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\Tokenization;
 

src/Phpml/Classification/Classifier.php

Spacing +1 added lines, -1 removed lines

@@ -1,6 +1,6 @@
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\Classification;
 

src/Phpml/SupportVectorMachine/SupportVectorMachine.php

Spacing +1 added lines, -1 removed lines

@@ -1,6 +1,6 @@
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\SupportVectorMachine;
 

src/Phpml/Clustering/KMeans/Space.php

Doc Comments +2 added lines, -2 removed lines

@@ -17,7 +17,7 @@ 
     protected $dimension;
 
     /**
-     * @param $dimension
+     * @param integer $dimension
      */
     public function __construct($dimension)
     {
@@ -225,7 +225,7 @@ 
     /**
      * @param int $clustersNumber
      *
-     * @return array
+     * @return Cluster[]
      */
     protected function initializeKMPPClusters(int $clustersNumber)
     {

Spacing +1 added lines, -1 removed lines

@@ -1,6 +1,6 @@
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\Clustering\KMeans;
 

src/Phpml/Clustering/FuzzyCMeans.php

Spacing +10 added lines, -10 removed lines

@@ -1,5 +1,5 @@ 
 <?php
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\Clustering;
 
@@ -85,15 +85,15 @@ 
     protected function generateRandomMembership(int $rows, int $cols)
     {
         $this->membership = [];
-        for ($i=0; $i < $rows; $i++) {
+        for ($i = 0; $i < $rows; $i++) {
             $row = [];
             $total = 0.0;
-            for ($k=0; $k < $cols; $k++) {
+            for ($k = 0; $k < $cols; $k++) {
                 $val = rand(1, 5) / 10.0;
                 $row[] = $val;
                 $total += $val;
             }
-            $this->membership[] = array_map(function ($val) use ($total) {
+            $this->membership[] = array_map(function($val) use ($total) {
                 return $val / $total;
             }, $row);
         }
@@ -102,17 +102,17 @@ 
     protected function updateClusters()
     {
         $dim = $this->space->getDimension();
-        if (! $this->clusters) {
+        if (!$this->clusters) {
             $this->clusters = [];
-            for ($i=0; $i<$this->clustersNumber; $i++) {
+            for ($i = 0; $i < $this->clustersNumber; $i++) {
                 $this->clusters[] = new Cluster($this->space, array_fill(0, $dim, 0.0));
             }
         }
 
-        for ($i=0; $i<$this->clustersNumber; $i++) {
+        for ($i = 0; $i < $this->clustersNumber; $i++) {
             $cluster = $this->clusters[$i];
             $center = $cluster->getCoordinates();
-            for ($k=0; $k<$dim; $k++) {
+            for ($k = 0; $k < $dim; $k++) {
                 $a = $this->getMembershipRowTotal($i, $k, true);
                 $b = $this->getMembershipRowTotal($i, $k, false);
                 $center[$k] = $a / $b;
@@ -202,7 +202,7 @@ 
     {
         // Initialize variables, clusters and membership matrix
         $this->sampleCount = count($samples);
-        $this->samples =& $samples;
+        $this->samples = & $samples;
         $this->space = new Space(count($samples[0]));
         $this->initClusters();
 
@@ -223,7 +223,7 @@ 
         } while ($difference > $this->epsilon && $iterations++ <= $this->maxIterations);
 
         // Attach (hard cluster) each data point to the nearest cluster
-        for ($k=0; $k<$this->sampleCount; $k++) {
+        for ($k = 0; $k < $this->sampleCount; $k++) {
             $column = array_column($this->membership, $k);
             arsort($column);
             reset($column);