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Pull Request — master (#158)
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02:16
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src/Phpml/DimensionReduction/LDA.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\DimensionReduction;
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         // Calculate overall mean of the dataset for each column
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         $numElements = array_sum($counts);
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-        $map = function ($el) use ($numElements) {
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+        $map = function($el) use ($numElements) {
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             return $el / $numElements;
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         };
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         $this->overallMean = array_map($map, $overallMean);
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src/Phpml/DimensionReduction/EigenTransformerBase.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\DimensionReduction;
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src/Phpml/Math/LinearAlgebra/EigenvalueDecomposition.php 2 patches
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     private $V = [];
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     /**
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-    *	Array for internal storage of nonsymmetric Hessenberg form.
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-    *
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-    *	@var array
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-    */
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+     *	Array for internal storage of nonsymmetric Hessenberg form.
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+     *
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+     *	@var array
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+     */
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     private $H = [];
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     /**
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-    *	Working storage for nonsymmetric algorithm.
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-    *
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-    *	@var array
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-    */
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+     *	Working storage for nonsymmetric algorithm.
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+     *
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+     *	@var array
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+     */
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     private $ort;
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     /**
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-    *	Used for complex scalar division.
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-    *
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-    *	@var float
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-    */
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+     *	Used for complex scalar division.
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+     *
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+     *	@var float
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+     */
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     private $cdivr;
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     private $cdivi;
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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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 /**
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  *	Class to obtain eigenvalues and eigenvectors of a real matrix.
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  *
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         // Always return the eigenvectors of length 1.0
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         $vectors = new Matrix($vectors);
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-        $vectors = array_map(function ($vect) {
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+        $vectors = array_map(function($vect) {
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             $sum = 0;
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             for ($i = 0; $i < count($vect); ++$i) {
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                 $sum += $vect[$i] ** 2;
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src/Phpml/Math/Statistic/Gaussian.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\Statistic;
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src/Phpml/NeuralNetwork/ActivationFunction/ThresholdedReLU.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\NeuralNetwork\ActivationFunction;
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src/Phpml/Math/Comparison.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;
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src/Phpml/Math/Matrix.php 2 patches
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     /**
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      * @throws MatrixException
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+     * @param integer $column
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      */
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     public function getColumnValues($column) : array
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     {
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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;
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     public function transpose() : Matrix
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     {
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         if ($this->rows == 1) {
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-            $matrix = array_map(function ($el) {
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+            $matrix = array_map(function($el) {
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                 return [$el];
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             }, $this->matrix[0]);
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         } else {
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src/Phpml/Math/LinearAlgebra/LUDecomposition.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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 /**
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  * @package JAMA
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  *
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src/Phpml/FeatureExtraction/TfIdfTransformer.php 1 patch
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 <?php
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 namespace Phpml\FeatureExtraction;
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      */
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     private $idf;
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-    public function __construct(?array $samples = null)
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+    public function __construct(? array $samples = null)
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     {
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         if ($samples) {
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             $this->fit($samples);
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