@@ -1,6 +1,6 @@ discard block |
||
| 1 | 1 | <?php |
| 2 | 2 | |
| 3 | -declare(strict_types=1); |
|
| 3 | +declare(strict_types = 1); |
|
| 4 | 4 | |
| 5 | 5 | namespace Phpml\DimensionReduction; |
| 6 | 6 | |
@@ -146,7 +146,7 @@ discard block |
||
| 146 | 146 | |
| 147 | 147 | // Calculate overall mean of the dataset for each column |
| 148 | 148 | $numElements = array_sum($counts); |
| 149 | - $map = function ($el) use ($numElements) { |
|
| 149 | + $map = function($el) use ($numElements) { |
|
| 150 | 150 | return $el / $numElements; |
| 151 | 151 | }; |
| 152 | 152 | $this->overallMean = array_map($map, $overallMean); |
@@ -1,6 +1,6 @@ |
||
| 1 | 1 | <?php |
| 2 | 2 | |
| 3 | -declare(strict_types=1); |
|
| 3 | +declare(strict_types = 1); |
|
| 4 | 4 | |
| 5 | 5 | namespace Phpml\DimensionReduction; |
| 6 | 6 | |
@@ -65,24 +65,24 @@ |
||
| 65 | 65 | private $V = []; |
| 66 | 66 | |
| 67 | 67 | /** |
| 68 | - * Array for internal storage of nonsymmetric Hessenberg form. |
|
| 69 | - * |
|
| 70 | - * @var array |
|
| 71 | - */ |
|
| 68 | + * Array for internal storage of nonsymmetric Hessenberg form. |
|
| 69 | + * |
|
| 70 | + * @var array |
|
| 71 | + */ |
|
| 72 | 72 | private $H = []; |
| 73 | 73 | |
| 74 | 74 | /** |
| 75 | - * Working storage for nonsymmetric algorithm. |
|
| 76 | - * |
|
| 77 | - * @var array |
|
| 78 | - */ |
|
| 75 | + * Working storage for nonsymmetric algorithm. |
|
| 76 | + * |
|
| 77 | + * @var array |
|
| 78 | + */ |
|
| 79 | 79 | private $ort; |
| 80 | 80 | |
| 81 | 81 | /** |
| 82 | - * Used for complex scalar division. |
|
| 83 | - * |
|
| 84 | - * @var float |
|
| 85 | - */ |
|
| 82 | + * Used for complex scalar division. |
|
| 83 | + * |
|
| 84 | + * @var float |
|
| 85 | + */ |
|
| 86 | 86 | private $cdivr; |
| 87 | 87 | private $cdivi; |
| 88 | 88 | |
@@ -1,6 +1,6 @@ discard block |
||
| 1 | 1 | <?php |
| 2 | 2 | |
| 3 | -declare(strict_types=1); |
|
| 3 | +declare(strict_types = 1); |
|
| 4 | 4 | /** |
| 5 | 5 | * Class to obtain eigenvalues and eigenvectors of a real matrix. |
| 6 | 6 | * |
@@ -842,7 +842,7 @@ discard block |
||
| 842 | 842 | |
| 843 | 843 | // Always return the eigenvectors of length 1.0 |
| 844 | 844 | $vectors = new Matrix($vectors); |
| 845 | - $vectors = array_map(function ($vect) { |
|
| 845 | + $vectors = array_map(function($vect) { |
|
| 846 | 846 | $sum = 0; |
| 847 | 847 | for ($i = 0; $i < count($vect); ++$i) { |
| 848 | 848 | $sum += $vect[$i] ** 2; |
@@ -1,6 +1,6 @@ |
||
| 1 | 1 | <?php |
| 2 | 2 | |
| 3 | -declare(strict_types=1); |
|
| 3 | +declare(strict_types = 1); |
|
| 4 | 4 | |
| 5 | 5 | namespace Phpml\Math\Statistic; |
| 6 | 6 | |
@@ -1,6 +1,6 @@ |
||
| 1 | 1 | <?php |
| 2 | 2 | |
| 3 | -declare(strict_types=1); |
|
| 3 | +declare(strict_types = 1); |
|
| 4 | 4 | |
| 5 | 5 | namespace Phpml\NeuralNetwork\ActivationFunction; |
| 6 | 6 | |
@@ -1,6 +1,6 @@ |
||
| 1 | 1 | <?php |
| 2 | 2 | |
| 3 | -declare(strict_types=1); |
|
| 3 | +declare(strict_types = 1); |
|
| 4 | 4 | |
| 5 | 5 | namespace Phpml\Math; |
| 6 | 6 | |
@@ -88,6 +88,7 @@ |
||
| 88 | 88 | |
| 89 | 89 | /** |
| 90 | 90 | * @throws MatrixException |
| 91 | + * @param integer $column |
|
| 91 | 92 | */ |
| 92 | 93 | public function getColumnValues($column) : array |
| 93 | 94 | { |
@@ -1,6 +1,6 @@ discard block |
||
| 1 | 1 | <?php |
| 2 | 2 | |
| 3 | -declare(strict_types=1); |
|
| 3 | +declare(strict_types = 1); |
|
| 4 | 4 | |
| 5 | 5 | namespace Phpml\Math; |
| 6 | 6 | |
@@ -126,7 +126,7 @@ discard block |
||
| 126 | 126 | public function transpose() : Matrix |
| 127 | 127 | { |
| 128 | 128 | if ($this->rows == 1) { |
| 129 | - $matrix = array_map(function ($el) { |
|
| 129 | + $matrix = array_map(function($el) { |
|
| 130 | 130 | return [$el]; |
| 131 | 131 | }, $this->matrix[0]); |
| 132 | 132 | } else { |
@@ -1,6 +1,6 @@ |
||
| 1 | 1 | <?php |
| 2 | 2 | |
| 3 | -declare(strict_types=1); |
|
| 3 | +declare(strict_types = 1); |
|
| 4 | 4 | /** |
| 5 | 5 | * @package JAMA |
| 6 | 6 | * |
@@ -1,6 +1,6 @@ discard block |
||
| 1 | 1 | <?php |
| 2 | 2 | |
| 3 | -declare(strict_types=1); |
|
| 3 | +declare(strict_types = 1); |
|
| 4 | 4 | |
| 5 | 5 | namespace Phpml\FeatureExtraction; |
| 6 | 6 | |
@@ -13,7 +13,7 @@ discard block |
||
| 13 | 13 | */ |
| 14 | 14 | private $idf; |
| 15 | 15 | |
| 16 | - public function __construct(?array $samples = null) |
|
| 16 | + public function __construct(? array $samples = null) |
|
| 17 | 17 | { |
| 18 | 18 | if ($samples) { |
| 19 | 19 | $this->fit($samples); |