@@ -16,6 +16,9 @@ |
||
16 | 16 | */ |
17 | 17 | protected $dimension; |
18 | 18 | |
19 | + /** |
|
20 | + * @param integer $dimension |
|
21 | + */ |
|
19 | 22 | public function __construct($dimension) |
20 | 23 | { |
21 | 24 | if ($dimension < 1) { |
@@ -25,6 +25,9 @@ |
||
25 | 25 | */ |
26 | 26 | protected $output; |
27 | 27 | |
28 | + /** |
|
29 | + * @param ActivationFunction $activationFunction |
|
30 | + */ |
|
28 | 31 | public function __construct(?ActivationFunction $activationFunction = null) |
29 | 32 | { |
30 | 33 | $this->activationFunction = $activationFunction ?: new ActivationFunction\Sigmoid(); |
@@ -30,7 +30,7 @@ |
||
30 | 30 | } |
31 | 31 | |
32 | 32 | /** |
33 | - * @param mixed $targetClass |
|
33 | + * @param integer $targetClass |
|
34 | 34 | */ |
35 | 35 | public function backpropagate(array $layers, $targetClass): void |
36 | 36 | { |
@@ -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)); |