php-ai / php-ml

src/Phpml/Math/Matrix.php

Doc Comments +1 added lines, -1 removed lines

@@ -91,7 +91,7 @@
     }
 
     /**
-     * @param $column
+     * @param integer $column
      *
      * @return array
      *

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/Cluster.php

Doc Comments +1 added lines, -1 removed lines

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

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/Association/Apriori.php

Spacing +8 added lines, -8 removed lines

@@ -1,6 +1,6 @@ 
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\Association;
 
@@ -107,11 +107,11 @@ 
      */
     protected function predictSample(array $sample) : array
     {
-        $predicts = array_values(array_filter($this->getRules(), function ($rule) use ($sample) {
+        $predicts = array_values(array_filter($this->getRules(), function($rule) use ($sample) {
             return $this->equals($rule[self::ARRAY_KEY_ANTECEDENT], $sample);
         }));
 
-        return array_map(function ($rule) {
+        return array_map(function($rule) {
             return $rule[self::ARRAY_KEY_CONSEQUENT];
         }, $predicts);
     }
@@ -179,7 +179,7 @@ 
         $cardinality = count($sample);
         $antecedents = $this->powerSet($sample);
 
-        return array_filter($antecedents, function ($antecedent) use ($cardinality) {
+        return array_filter($antecedents, function($antecedent) use ($cardinality) {
             return (count($antecedent) != $cardinality) && ($antecedent != []);
         });
     }
@@ -201,7 +201,7 @@ 
             }
         }
 
-        return array_map(function ($entry) {
+        return array_map(function($entry) {
             return [$entry];
         }, $items);
     }
@@ -215,7 +215,7 @@ 
      */
     private function frequent(array $samples) : array
     {
-        return array_filter($samples, function ($entry) {
+        return array_filter($samples, function($entry) {
             return $this->support($entry) >= $this->support;
         });
     }
@@ -295,7 +295,7 @@ 
      */
     private function frequency(array $sample) : int
     {
-        return count(array_filter($this->samples, function ($entry) use ($sample) {
+        return count(array_filter($this->samples, function($entry) use ($sample) {
             return $this->subset($entry, $sample);
         }));
     }
@@ -312,7 +312,7 @@ 
      */
     private function contains(array $system, array $set) : bool
     {
-        return (bool) array_filter($system, function ($entry) use ($set) {
+        return (bool) array_filter($system, function($entry) use ($set) {
             return $this->equals($entry, $set);
         });
     }

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;
 
@@ -93,7 +93,7 @@ 
     /**
      * @param string $sample
      */
-    private function transformSample(string &$sample)
+    private function transformSample(string & $sample)
     {
         $counts = [];
         $tokens = $this->tokenizer->tokenize($sample);

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;
 
@@ -32,7 +32,7 @@ 
 
         $count = count($samples);
         foreach ($this->idf as &$value) {
-            $value = log((float)($count / $value), 10.0);
+            $value = log((float) ($count / $value), 10.0);
         }
     }
 

src/Phpml/Math/Statistic/Mean.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;
 
@@ -34,7 +34,7 @@ 
         self::checkArrayLength($numbers);
 
         $count = count($numbers);
-        $middleIndex = (int)floor($count / 2);
+        $middleIndex = (int) floor($count / 2);
         sort($numbers, SORT_NUMERIC);
         $median = $numbers[$middleIndex];
 

src/Phpml/Math/Distance/Minkowski.php

Spacing +2 added lines, -2 removed lines

@@ -1,6 +1,6 @@ 
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\Math\Distance;
 
@@ -43,6 +43,6 @@ 
             $distance += pow(abs($a[$i] - $b[$i]), $this->lambda);
         }
 
-        return (float)pow($distance, 1 / $this->lambda);
+        return (float) pow($distance, 1 / $this->lambda);
     }
 }

src/Phpml/Preprocessing/Normalizer.php

Spacing +2 added lines, -2 removed lines

@@ -1,6 +1,6 @@ 
 <?php
 
-declare(strict_types=1);
+declare(strict_types = 1);
 
 namespace Phpml\Preprocessing;
 
@@ -78,7 +78,7 @@ 
         foreach ($sample as $feature) {
             $norm2 += $feature * $feature;
         }
-        $norm2 = sqrt((float)$norm2);
+        $norm2 = sqrt((float) $norm2);
 
         if (0 == $norm2) {
             $sample = array_fill(0, count($sample), 1);

src/Phpml/SupportVectorMachine/DataTransformer.php

Spacing +1 added lines, -1 removed lines

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