php-ai / php-ml

src/Phpml/Math/Statistic/Correlation.php

Spacing +1 added lines, -1 removed lines

@@ -30,7 +30,7 @@
         $a2 = 0;
         $b2 = 0;
 
-        for ($i = 0;$i < $count;++$i) {
+        for ($i = 0; $i < $count; ++$i) {
             $a = $x[$i] - $meanX;
             $b = $y[$i] - $meanY;
             $axb = $axb + ($a * $b);

src/Phpml/Regression/SVR.php

Spacing +1 added lines, -1 removed lines

@@ -23,7 +23,7 @@
      */
     public function __construct(
         int $kernel = Kernel::RBF, int $degree = 3, float $epsilon = 0.1, float $cost = 1.0,
-        float $gamma = null, float $coef0 = 0.0,  float $tolerance = 0.001,
+        float $gamma = null, float $coef0 = 0.0, float $tolerance = 0.001,
         int $cacheSize = 100, bool $shrinking = true
     ) {
         parent::__construct(Type::EPSILON_SVR, $kernel, $cost, 0.5, $degree, $gamma, $coef0, $epsilon, $tolerance, $cacheSize, $shrinking, false);

src/Phpml/FeatureExtraction/TokenCountVectorizer.php

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@@ -85,7 +85,7 @@
     /**
      * @param string $sample
      */
-    private function transformSample(string &$sample)
+    private function transformSample(string & $sample)
     {
         $counts = [];
         $tokens = $this->tokenizer->tokenize($sample);

src/Phpml/NeuralNetwork/Network/MultilayerPerceptron.php

Spacing +1 added lines, -1 removed lines

@@ -61,7 +61,7 @@
     private function addBiasNodes()
     {
         $biasLayers = count($this->layers) - 1;
-        for ($i = 0;$i < $biasLayers;++$i) {
+        for ($i = 0; $i < $biasLayers; ++$i) {
             $this->layers[$i]->addNode(new Bias());
         }
     }