@@ -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, $overallMean); |
@@ -1,6 +1,6 @@ |
||
1 | 1 | <?php |
2 | 2 | |
3 | -declare(strict_types=1); |
|
3 | +declare(strict_types = 1); |
|
4 | 4 | |
5 | 5 | namespace Phpml\DimensionReduction; |
6 | 6 |
@@ -1,6 +1,6 @@ |
||
1 | 1 | <?php |
2 | 2 | |
3 | -declare(strict_types=1); |
|
3 | +declare(strict_types = 1); |
|
4 | 4 | |
5 | 5 | namespace Phpml\Math\Statistic; |
6 | 6 |
@@ -1,6 +1,6 @@ |
||
1 | 1 | <?php |
2 | 2 | |
3 | -declare(strict_types=1); |
|
3 | +declare(strict_types = 1); |
|
4 | 4 | |
5 | 5 | namespace Phpml\NeuralNetwork\ActivationFunction; |
6 | 6 |
@@ -1,6 +1,6 @@ |
||
1 | 1 | <?php |
2 | 2 | |
3 | -declare(strict_types=1); |
|
3 | +declare(strict_types = 1); |
|
4 | 4 | |
5 | 5 | namespace Phpml\Math; |
6 | 6 |
@@ -1,6 +1,6 @@ discard block |
||
1 | 1 | <?php |
2 | 2 | |
3 | -declare(strict_types=1); |
|
3 | +declare(strict_types = 1); |
|
4 | 4 | |
5 | 5 | namespace Phpml\FeatureExtraction; |
6 | 6 | |
@@ -73,7 +73,7 @@ discard block |
||
73 | 73 | } |
74 | 74 | } |
75 | 75 | |
76 | - private function transformSample(string &$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\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)); |
@@ -132,6 +132,9 @@ |
||
132 | 132 | $this->addLayer(new Layer($nodes, Input::class)); |
133 | 133 | } |
134 | 134 | |
135 | + /** |
|
136 | + * @param ActivationFunction $activationFunction |
|
137 | + */ |
|
135 | 138 | private function addNeuronLayers(array $layers, ?ActivationFunction $activationFunction = null): void |
136 | 139 | { |
137 | 140 | foreach ($layers as $neurons) { |
@@ -1,6 +1,6 @@ discard block |
||
1 | 1 | <?php |
2 | 2 | |
3 | -declare(strict_types=1); |
|
3 | +declare(strict_types = 1); |
|
4 | 4 | |
5 | 5 | namespace Phpml\SupportVectorMachine; |
6 | 6 | |
@@ -234,7 +234,7 @@ discard block |
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234 | 234 | ); |
235 | 235 | } |
236 | 236 | |
237 | - private function ensureDirectorySeparator(string &$path): void |
|
237 | + private function ensureDirectorySeparator(string & $path): void |
|
238 | 238 | { |
239 | 239 | if (substr($path, -1) !== DIRECTORY_SEPARATOR) { |
240 | 240 | $path .= DIRECTORY_SEPARATOR; |
@@ -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 | |
@@ -62,7 +62,7 @@ discard block |
||
62 | 62 | |
63 | 63 | abstract protected function splitDataset(Dataset $dataset, float $testSize); |
64 | 64 | |
65 | - protected function seedGenerator(?int $seed = null): void |
|
65 | + protected function seedGenerator(?int $seed = null) : void |
|
66 | 66 | { |
67 | 67 | if ($seed === null) { |
68 | 68 | mt_srand(); |