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Pull Request — master (#158)
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unknown
02:12
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src/Phpml/CrossValidation/Split.php 1 patch
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@@ -1,6 +1,6 @@  discard block
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 <?php
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-declare(strict_types=1);
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+declare(strict_types = 1);
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 namespace Phpml\CrossValidation;
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@@ -61,7 +61,7 @@  discard block
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         return $this->testLabels;
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     }
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-    protected function seedGenerator(?int $seed = null): void
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+    protected function seedGenerator(?int $seed = null) : void
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     {
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         if (null === $seed) {
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             mt_srand();
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src/Phpml/Math/Statistic/Covariance.php 1 patch
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@@ -1,6 +1,6 @@  discard block
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 <?php
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-declare(strict_types=1);
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+declare(strict_types = 1);
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 namespace Phpml\Math\Statistic;
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@@ -112,7 +112,7 @@  discard block
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      *
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      * @param array|null $means
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      */
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-    public static function covarianceMatrix(array $data, ?array $means = null) : array
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+    public static function covarianceMatrix(array $data, ? array $means = null) : array
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     {
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         $n = count($data[0]);
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src/Phpml/Metric/ConfusionMatrix.php 1 patch
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 <?php
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-declare(strict_types=1);
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+declare(strict_types = 1);
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 namespace Phpml\Metric;
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 class ConfusionMatrix
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 {
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-    public static function compute(array $actualLabels, array $predictedLabels, ?array $labels = null) : array
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+    public static function compute(array $actualLabels, array $predictedLabels, ? array $labels = null) : array
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     {
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         $labels = $labels ? array_flip($labels) : self::getUniqueLabels($actualLabels);
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         $matrix = self::generateMatrixWithZeros($labels);
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src/Phpml/NeuralNetwork/Network/MultilayerPerceptron.php 1 patch
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@@ -1,6 +1,6 @@  discard block
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 <?php
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-declare(strict_types=1);
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+declare(strict_types = 1);
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 namespace Phpml\NeuralNetwork\Network;
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@@ -132,7 +132,7 @@  discard block
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         $this->addLayer(new Layer($nodes, Input::class));
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     }
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-    private function addNeuronLayers(array $layers, ?ActivationFunction $activationFunction = null): void
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+    private function addNeuronLayers(array $layers, ?ActivationFunction $activationFunction = null) : void
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     {
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         foreach ($layers as $neurons) {
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             $this->addLayer(new Layer($neurons, Neuron::class, $activationFunction));
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src/Phpml/SupportVectorMachine/SupportVectorMachine.php 1 patch
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@@ -1,6 +1,6 @@  discard block
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 <?php
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-declare(strict_types=1);
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+declare(strict_types = 1);
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 namespace Phpml\SupportVectorMachine;
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@@ -234,7 +234,7 @@  discard block
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         );
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     }
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-    private function ensureDirectorySeparator(string &$path): void
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+    private function ensureDirectorySeparator(string & $path): void
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     {
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         if (substr($path, -1) !== DIRECTORY_SEPARATOR) {
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             $path .= DIRECTORY_SEPARATOR;
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src/Phpml/Math/Distance/Manhattan.php 1 patch
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@@ -1,6 +1,6 @@  discard block
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 <?php
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-declare(strict_types=1);
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+declare(strict_types = 1);
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 namespace Phpml\Math\Distance;
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             throw InvalidArgumentException::arraySizeNotMatch();
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         }
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-        return array_sum(array_map(function ($m, $n) {
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+        return array_sum(array_map(function($m, $n) {
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             return abs($m - $n);
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         }, $a, $b));
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     }
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src/Phpml/Math/Distance/Euclidean.php 1 patch
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 <?php
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-declare(strict_types=1);
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+declare(strict_types = 1);
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 namespace Phpml\Math\Distance;
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             throw InvalidArgumentException::arraySizeNotMatch();
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         }
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-        return sqrt((float) array_sum(array_map(function ($m, $n) {
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+        return sqrt((float) array_sum(array_map(function($m, $n) {
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             return ($m - $n) ** 2;
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         }, $a, $b)));
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     }
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src/Phpml/Math/Distance/Chebyshev.php 1 patch
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@@ -1,6 +1,6 @@  discard block
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 <?php
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-declare(strict_types=1);
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+declare(strict_types = 1);
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 namespace Phpml\Math\Distance;
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             throw InvalidArgumentException::arraySizeNotMatch();
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         }
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-        return max(array_map(function ($m, $n) {
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+        return max(array_map(function($m, $n) {
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             return abs($m - $n);
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         }, $a, $b));
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     }
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src/Phpml/Math/Distance/Minkowski.php 1 patch
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 <?php
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-declare(strict_types=1);
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+declare(strict_types = 1);
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 namespace Phpml\Math\Distance;
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         }
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         return (float) pow(
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-            array_sum(array_map(function ($m, $n) {
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+            array_sum(array_map(function($m, $n) {
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                 return pow(abs($m - $n), $this->lambda);
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             }, $a, $b)),
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             1 / $this->lambda
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