php-ai / php-ml

src/Association/Apriori.php

Spacing +7 added lines, -7 removed lines

@@ -104,11 +104,11 @@ 
      */
     protected function predictSample(array $sample): array
     {
-        $predicts = array_values(array_filter($this->getRules(), function ($rule) use ($sample): bool {
+        $predicts = array_values(array_filter($this->getRules(), function($rule) use ($sample): bool {
             return $this->equals($rule[self::ARRAY_KEY_ANTECEDENT], $sample);
         }));
 
-        return array_map(static function ($rule) {
+        return array_map(static function($rule) {
             return $rule[self::ARRAY_KEY_CONSEQUENT];
         }, $predicts);
     }
@@ -177,7 +177,7 @@ 
         $cardinality = count($sample);
         $antecedents = $this->powerSet($sample);
 
-        return array_filter($antecedents, static function ($antecedent) use ($cardinality): bool {
+        return array_filter($antecedents, static function($antecedent) use ($cardinality): bool {
             return (count($antecedent) != $cardinality) && ($antecedent != []);
         });
     }
@@ -199,7 +199,7 @@ 
             }
         }
 
-        return array_map(static function ($entry): array {
+        return array_map(static function($entry): array {
             return [$entry];
         }, $items);
     }
@@ -213,7 +213,7 @@ 
      */
     private function frequent(array $samples): array
     {
-        return array_values(array_filter($samples, function ($entry): bool {
+        return array_values(array_filter($samples, function($entry): bool {
             return $this->support($entry) >= $this->support;
         }));
     }
@@ -288,7 +288,7 @@ 
      */
     private function frequency(array $sample): int
     {
-        return count(array_filter($this->samples, function ($entry) use ($sample): bool {
+        return count(array_filter($this->samples, function($entry) use ($sample): bool {
             return $this->subset($entry, $sample);
         }));
     }
@@ -303,7 +303,7 @@ 
      */
     private function contains(array $system, array $set): bool
     {
-        return (bool) array_filter($system, function ($entry) use ($set): bool {
+        return (bool) array_filter($system, function($entry) use ($set): bool {
             return $this->equals($entry, $set);
         });
     }

src/Classification/Linear/Adaline.php

Spacing +1 added lines, -1 removed lines

@@ -58,7 +58,7 @@
     protected function runTraining(array $samples, array $targets): void
     {
         // The cost function is the sum of squares
-        $callback = function ($weights, $sample, $target): array {
+        $callback = function($weights, $sample, $target): array {
             $this->weights = $weights;
 
             $output = $this->output($sample);

src/Classification/Linear/Perceptron.php

Spacing +1 added lines, -1 removed lines

@@ -154,7 +154,7 @@
     protected function runTraining(array $samples, array $targets): void
     {
         // The cost function is the sum of squares
-        $callback = function ($weights, $sample, $target): array {
+        $callback = function($weights, $sample, $target): array {
             $this->weights = $weights;
 
             $prediction = $this->outputClass($sample);

src/Classification/Linear/LogisticRegression.php

Spacing +2 added lines, -2 removed lines

@@ -188,7 +188,7 @@ 
                  * The gradient of the cost function to be used with gradient descent:
                  *		∇J(x) = -(y - h(x)) = (h(x) - y)
                  */
-                return function ($weights, $sample, $y) use ($penalty): array {
+                return function($weights, $sample, $y) use ($penalty): array {
                     $this->weights = $weights;
                     $hX = $this->output($sample);
 
@@ -220,7 +220,7 @@ 
                  * The gradient of the cost function:
                  *		∇J(x) = -(h(x) - y) . h(x) . (1 - h(x))
                  */
-                return function ($weights, $sample, $y) use ($penalty): array {
+                return function($weights, $sample, $y) use ($penalty): array {
                     $this->weights = $weights;
                     $hX = $this->output($sample);
 

src/Regression/DecisionTreeRegressor.php

Spacing +1 added lines, -1 removed lines

@@ -121,7 +121,7 @@
 
     protected function splitImpurity(array $groups): float
     {
-        $samplesCount = (int) array_sum(array_map(static function (array $group): int {
+        $samplesCount = (int) array_sum(array_map(static function(array $group): int {
             return count($group[0]);
         }, $groups));
 

src/Clustering/KMeans.php

Indentation +3 added lines, -3 removed lines

@@ -23,9 +23,9 @@
      */
     private $initialization;
 
-     /**
-     * @var array
-     */
+        /**
+         * @var array
+         */
     private $centronoids = [];
 
     public function __construct(int $clustersNumber, int $initialization = self::INIT_KMEANS_PLUS_PLUS)