php-ai / php-ml

src/Classification/NaiveBayes.php

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@@ -120,7 +120,7 @@
                 $this->dataType[$label][$i] = self::NOMINAL;
                 $this->discreteProb[$label][$i] = array_count_values($values);
                 $db = &$this->discreteProb[$label][$i];
-                $db = array_map(function ($el) use ($numValues) {
+                $db = array_map(function($el) use ($numValues) {
                     return $el / $numValues;
                 }, $db);
             } else {

src/DimensionReduction/LDA.php

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@@ -157,7 +157,7 @@
 
         // Calculate overall mean of the dataset for each column
         $numElements = array_sum($counts);
-        $map = function ($el) use ($numElements) {
+        $map = function($el) use ($numElements) {
             return $el / $numElements;
         };
         $this->overallMean = array_map($map, $overallMean);

src/Helper/Optimizer/StochasticGD.php

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@@ -241,7 +241,7 @@
     {
         // Check for early stop: No change larger than threshold (default 1e-5)
         $diff = array_map(
-            function ($w1, $w2) {
+            function($w1, $w2) {
                 return abs($w1 - $w2) > $this->threshold ? 1 : 0;
             },
             $oldTheta,

src/Classification/Ensemble/RandomForest.php

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@@ -100,7 +100,7 @@
 
         // Normalize & sort the importance values
         $total = array_sum($sum);
-        array_walk($sum, function (&$importance) use ($total): void {
+        array_walk($sum, function(&$importance) use ($total): void {
             $importance /= $total;
         });
         arsort($sum);

src/Classification/DecisionTree.php

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@@ -220,7 +220,7 @@
         // Normalize & sort the importances
         $total = array_sum($this->featureImportances);
         if ($total > 0) {
-            array_walk($this->featureImportances, function (&$importance) use ($total): void {
+            array_walk($this->featureImportances, function(&$importance) use ($total): void {
                 $importance /= $total;
             });
             arsort($this->featureImportances);

src/Preprocessing/Normalizer.php

Spacing +2 added lines, -2 removed lines

@@ -93,7 +93,7 @@ 
             $count = count($sample);
             $sample = array_fill(0, $count, 1.0 / $count);
         } else {
-            array_walk($sample, function (&$feature) use ($norm1): void {
+            array_walk($sample, function(&$feature) use ($norm1): void {
                 $feature /= $norm1;
             });
         }
@@ -111,7 +111,7 @@ 
         if ($norm2 == 0) {
             $sample = array_fill(0, count($sample), 1);
         } else {
-            array_walk($sample, function (&$feature) use ($norm2): void {
+            array_walk($sample, function(&$feature) use ($norm2): void {
                 $feature /= $norm2;
             });
         }

src/FeatureSelection/ScoringFunction/UnivariateLinearRegression.php

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@@ -52,7 +52,7 @@ 
 
         $degreesOfFreedom = count($targets) - ($this->center ? 2 : 1);
 
-        return array_map(function (float $correlation) use ($degreesOfFreedom): float {
+        return array_map(function(float $correlation) use ($degreesOfFreedom): float {
             return $correlation ** 2 / (1 - $correlation ** 2) * $degreesOfFreedom;
         }, $correlations);
     }
@@ -60,7 +60,7 @@ 
     private function centerTargets(array &$targets): void
     {
         $mean = Mean::arithmetic($targets);
-        array_walk($targets, function (&$target) use ($mean): void {
+        array_walk($targets, function(&$target) use ($mean): void {
             $target -= $mean;
         });
     }

src/Dataset/MnistDataset.php

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@@ -61,7 +61,7 @@
                 $imageBytes = fread($stream, $fields['rows'] * $fields['cols']);
 
                 // Convert to float between 0 and 1
-                $images[] = array_map(function ($b) {
+                $images[] = array_map(function($b) {
                     return $b / 255;
                 }, array_values(unpack('C*', (string) $imageBytes)));
             }

src/NeuralNetwork/ActivationFunction/Gaussian.php

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@@ -13,7 +13,7 @@
      */
     public function compute($value): float
     {
-        return exp(- $value ** 2);
+        return exp(-$value ** 2);
     }
 
     /**