@@ -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); |
@@ -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 | |
@@ -73,7 +73,7 @@ discard block |
||
73 | 73 | } |
74 | 74 | } |
75 | 75 | |
76 | - private function transformSample(string &$sample): void |
|
76 | + private function transformSample(string & $sample): void |
|
77 | 77 | { |
78 | 78 | $counts = []; |
79 | 79 | $tokens = $this->tokenizer->tokenize($sample); |
@@ -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\CrossValidation; |
6 | 6 | |
@@ -61,7 +61,7 @@ discard block |
||
61 | 61 | return $this->testLabels; |
62 | 62 | } |
63 | 63 | |
64 | - protected function seedGenerator(?int $seed = null): void |
|
64 | + protected function seedGenerator(?int $seed = null) : void |
|
65 | 65 | { |
66 | 66 | if (null === $seed) { |
67 | 67 | mt_srand(); |
@@ -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\Statistic; |
6 | 6 | |
@@ -112,7 +112,7 @@ discard block |
||
112 | 112 | * |
113 | 113 | * @param array|null $means |
114 | 114 | */ |
115 | - public static function covarianceMatrix(array $data, ?array $means = null) : array |
|
115 | + public static function covarianceMatrix(array $data, ? array $means = null) : array |
|
116 | 116 | { |
117 | 117 | $n = count($data[0]); |
118 | 118 |
@@ -1,12 +1,12 @@ |
||
1 | 1 | <?php |
2 | 2 | |
3 | -declare(strict_types=1); |
|
3 | +declare(strict_types = 1); |
|
4 | 4 | |
5 | 5 | namespace Phpml\Metric; |
6 | 6 | |
7 | 7 | class ConfusionMatrix |
8 | 8 | { |
9 | - public static function compute(array $actualLabels, array $predictedLabels, ?array $labels = null) : array |
|
9 | + public static function compute(array $actualLabels, array $predictedLabels, ? array $labels = null) : array |
|
10 | 10 | { |
11 | 11 | $labels = $labels ? array_flip($labels) : self::getUniqueLabels($actualLabels); |
12 | 12 | $matrix = self::generateMatrixWithZeros($labels); |
@@ -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\NeuralNetwork\Network; |
6 | 6 | |
@@ -132,7 +132,7 @@ discard block |
||
132 | 132 | $this->addLayer(new Layer($nodes, Input::class)); |
133 | 133 | } |
134 | 134 | |
135 | - private function addNeuronLayers(array $layers, ?ActivationFunction $activationFunction = null): void |
|
135 | + private function addNeuronLayers(array $layers, ?ActivationFunction $activationFunction = null) : void |
|
136 | 136 | { |
137 | 137 | foreach ($layers as $neurons) { |
138 | 138 | $this->addLayer(new Layer($neurons, Neuron::class, $activationFunction)); |
@@ -1,6 +1,6 @@ discard block |
||
1 | 1 | <?php |
2 | 2 | |
3 | -declare(strict_types=1); |
|
3 | +declare(strict_types = 1); |
|
4 | 4 | |
5 | 5 | namespace Phpml\SupportVectorMachine; |
6 | 6 | |
@@ -234,7 +234,7 @@ discard block |
||
234 | 234 | ); |
235 | 235 | } |
236 | 236 | |
237 | - private function ensureDirectorySeparator(string &$path): void |
|
237 | + private function ensureDirectorySeparator(string & $path): void |
|
238 | 238 | { |
239 | 239 | if (substr($path, -1) !== DIRECTORY_SEPARATOR) { |
240 | 240 | $path .= DIRECTORY_SEPARATOR; |