@@ -120,7 +120,7 @@ |
||
120 | 120 | $this->dataType[$label][$i] = self::NOMINAL; |
121 | 121 | $this->discreteProb[$label][$i] = array_count_values($values); |
122 | 122 | $db = &$this->discreteProb[$label][$i]; |
123 | - $db = array_map(function ($el) use ($numValues) { |
|
123 | + $db = array_map(function($el) use ($numValues) { |
|
124 | 124 | return $el / $numValues; |
125 | 125 | }, $db); |
126 | 126 | } else { |
@@ -157,7 +157,7 @@ |
||
157 | 157 | |
158 | 158 | // Calculate overall mean of the dataset for each column |
159 | 159 | $numElements = array_sum($counts); |
160 | - $map = function ($el) use ($numElements) { |
|
160 | + $map = function($el) use ($numElements) { |
|
161 | 161 | return $el / $numElements; |
162 | 162 | }; |
163 | 163 | $this->overallMean = array_map($map, $overallMean); |
@@ -241,7 +241,7 @@ |
||
241 | 241 | { |
242 | 242 | // Check for early stop: No change larger than threshold (default 1e-5) |
243 | 243 | $diff = array_map( |
244 | - function ($w1, $w2) { |
|
244 | + function($w1, $w2) { |
|
245 | 245 | return abs($w1 - $w2) > $this->threshold ? 1 : 0; |
246 | 246 | }, |
247 | 247 | $oldTheta, |
@@ -100,7 +100,7 @@ |
||
100 | 100 | |
101 | 101 | // Normalize & sort the importance values |
102 | 102 | $total = array_sum($sum); |
103 | - array_walk($sum, function (&$importance) use ($total): void { |
|
103 | + array_walk($sum, function(&$importance) use ($total): void { |
|
104 | 104 | $importance /= $total; |
105 | 105 | }); |
106 | 106 | arsort($sum); |
@@ -220,7 +220,7 @@ |
||
220 | 220 | // Normalize & sort the importances |
221 | 221 | $total = array_sum($this->featureImportances); |
222 | 222 | if ($total > 0) { |
223 | - array_walk($this->featureImportances, function (&$importance) use ($total): void { |
|
223 | + array_walk($this->featureImportances, function(&$importance) use ($total): void { |
|
224 | 224 | $importance /= $total; |
225 | 225 | }); |
226 | 226 | arsort($this->featureImportances); |
@@ -93,7 +93,7 @@ discard block |
||
93 | 93 | $count = count($sample); |
94 | 94 | $sample = array_fill(0, $count, 1.0 / $count); |
95 | 95 | } else { |
96 | - array_walk($sample, function (&$feature) use ($norm1): void { |
|
96 | + array_walk($sample, function(&$feature) use ($norm1): void { |
|
97 | 97 | $feature /= $norm1; |
98 | 98 | }); |
99 | 99 | } |
@@ -111,7 +111,7 @@ discard block |
||
111 | 111 | if ($norm2 == 0) { |
112 | 112 | $sample = array_fill(0, count($sample), 1); |
113 | 113 | } else { |
114 | - array_walk($sample, function (&$feature) use ($norm2): void { |
|
114 | + array_walk($sample, function(&$feature) use ($norm2): void { |
|
115 | 115 | $feature /= $norm2; |
116 | 116 | }); |
117 | 117 | } |
@@ -52,7 +52,7 @@ discard block |
||
52 | 52 | |
53 | 53 | $degreesOfFreedom = count($targets) - ($this->center ? 2 : 1); |
54 | 54 | |
55 | - return array_map(function (float $correlation) use ($degreesOfFreedom): float { |
|
55 | + return array_map(function(float $correlation) use ($degreesOfFreedom): float { |
|
56 | 56 | return $correlation ** 2 / (1 - $correlation ** 2) * $degreesOfFreedom; |
57 | 57 | }, $correlations); |
58 | 58 | } |
@@ -60,7 +60,7 @@ discard block |
||
60 | 60 | private function centerTargets(array &$targets): void |
61 | 61 | { |
62 | 62 | $mean = Mean::arithmetic($targets); |
63 | - array_walk($targets, function (&$target) use ($mean): void { |
|
63 | + array_walk($targets, function(&$target) use ($mean): void { |
|
64 | 64 | $target -= $mean; |
65 | 65 | }); |
66 | 66 | } |
@@ -61,7 +61,7 @@ |
||
61 | 61 | $imageBytes = fread($stream, $fields['rows'] * $fields['cols']); |
62 | 62 | |
63 | 63 | // Convert to float between 0 and 1 |
64 | - $images[] = array_map(function ($b) { |
|
64 | + $images[] = array_map(function($b) { |
|
65 | 65 | return $b / 255; |
66 | 66 | }, array_values(unpack('C*', (string) $imageBytes))); |
67 | 67 | } |
@@ -13,7 +13,7 @@ |
||
13 | 13 | */ |
14 | 14 | public function compute($value): float |
15 | 15 | { |
16 | - return exp(- $value ** 2); |
|
16 | + return exp(-$value ** 2); |
|
17 | 17 | } |
18 | 18 | |
19 | 19 | /** |