php-ai / php-ml

src/Phpml/Clustering/KMeans/Space.php

Doc Comments +3 added lines

@@ -16,6 +16,9 @@
      */
     protected $dimension;
 
+    /**
+     * @param integer $dimension
+     */
     public function __construct($dimension)
     {
         if ($dimension < 1) {

src/Phpml/NeuralNetwork/Node/Neuron.php

Doc Comments +3 added lines

@@ -25,6 +25,9 @@
      */
     protected $output;
 
+    /**
+     * @param ActivationFunction $activationFunction
+     */
     public function __construct(?ActivationFunction $activationFunction = null)
     {
         $this->activationFunction = $activationFunction ?: new ActivationFunction\Sigmoid();

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): void
     {

src/Phpml/FeatureExtraction/TfIdfTransformer.php

Spacing +2 added lines, -2 removed lines

@@ -1,6 +1,6 @@ 
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\FeatureExtraction;
 
@@ -13,7 +13,7 @@ 
      */
     private $idf;
 
-    public function __construct(?array $samples = null)
+    public function __construct(? array $samples = null)
     {
         if ($samples) {
             $this->fit($samples);

src/Phpml/FeatureExtraction/TokenCountVectorizer.php

Spacing +2 added lines, -2 removed lines

@@ -1,6 +1,6 @@ 
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\FeatureExtraction;
 
@@ -73,7 +73,7 @@ 
         }
     }
 
-    private function transformSample(string &$sample): void
+    private function transformSample(string & $sample): void
     {
         $counts = [];
         $tokens = $this->tokenizer->tokenize($sample);

src/Phpml/CrossValidation/Split.php

Spacing +2 added lines, -2 removed lines

@@ -1,6 +1,6 @@ 
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\CrossValidation;
 
@@ -61,7 +61,7 @@ 
         return $this->testLabels;
     }
 
-    protected function seedGenerator(?int $seed = null): void
+    protected function seedGenerator(?int $seed = null) : void
     {
         if (null === $seed) {
             mt_srand();

src/Phpml/Math/Statistic/Covariance.php

Spacing +2 added lines, -2 removed lines

@@ -1,6 +1,6 @@ 
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\Math\Statistic;
 
@@ -112,7 +112,7 @@ 
      *
      * @param array|null $means
      */
-    public static function covarianceMatrix(array $data, ?array $means = null) : array
+    public static function covarianceMatrix(array $data, ? array $means = null) : array
     {
         $n = count($data[0]);
 

src/Phpml/Metric/ConfusionMatrix.php

Spacing +2 added lines, -2 removed lines

@@ -1,12 +1,12 @@
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\Metric;
 
 class ConfusionMatrix
 {
-    public static function compute(array $actualLabels, array $predictedLabels, ?array $labels = null) : array
+    public static function compute(array $actualLabels, array $predictedLabels, ? array $labels = null) : array
     {
         $labels = $labels ? array_flip($labels) : self::getUniqueLabels($actualLabels);
         $matrix = self::generateMatrixWithZeros($labels);

src/Phpml/NeuralNetwork/Network/MultilayerPerceptron.php

Spacing +2 added lines, -2 removed lines

@@ -1,6 +1,6 @@ 
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\NeuralNetwork\Network;
 
@@ -132,7 +132,7 @@ 
         $this->addLayer(new Layer($nodes, Input::class));
     }
 
-    private function addNeuronLayers(array $layers, ?ActivationFunction $activationFunction = null): void
+    private function addNeuronLayers(array $layers, ?ActivationFunction $activationFunction = null) : void
     {
         foreach ($layers as $neurons) {
             $this->addLayer(new Layer($neurons, Neuron::class, $activationFunction));