php-ai /
php-ml
| @@ 94-109 (lines=16) @@ | ||
| 91 | /** |
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| 92 | * @param array $sample |
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| 93 | */ |
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| 94 | private function normalizeL1(array &$sample) |
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| 95 | { |
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| 96 | $norm1 = 0; |
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| 97 | foreach ($sample as $feature) { |
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| 98 | $norm1 += abs($feature); |
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| 99 | } |
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| 100 | ||
| 101 | if (0 == $norm1) { |
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| 102 | $count = count($sample); |
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| 103 | $sample = array_fill(0, $count, 1.0 / $count); |
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| 104 | } else { |
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| 105 | foreach ($sample as &$feature) { |
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| 106 | $feature /= $norm1; |
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| 107 | } |
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| 108 | } |
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| 109 | } |
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| 110 | ||
| 111 | /** |
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| 112 | * @param array $sample |
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| @@ 114-129 (lines=16) @@ | ||
| 111 | /** |
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| 112 | * @param array $sample |
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| 113 | */ |
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| 114 | private function normalizeL2(array &$sample) |
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| 115 | { |
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| 116 | $norm2 = 0; |
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| 117 | foreach ($sample as $feature) { |
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| 118 | $norm2 += $feature * $feature; |
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| 119 | } |
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| 120 | $norm2 = sqrt((float)$norm2); |
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| 121 | ||
| 122 | if (0 == $norm2) { |
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| 123 | $sample = array_fill(0, count($sample), 1); |
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| 124 | } else { |
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| 125 | foreach ($sample as &$feature) { |
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| 126 | $feature /= $norm2; |
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| 127 | } |
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| 128 | } |
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| 129 | } |
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| 130 | ||
| 131 | /** |
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| 132 | * @param array $sample |
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