php-ai /
php-ml
| @@ 47-62 (lines=16) @@ | ||
| 44 | /** |
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| 45 | * @param array $sample |
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| 46 | */ |
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| 47 | private function normalizeL1(array &$sample) |
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| 48 | { |
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| 49 | $norm1 = 0; |
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| 50 | foreach ($sample as $feature) { |
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| 51 | $norm1 += abs($feature); |
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| 52 | } |
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| 53 | ||
| 54 | if (0 == $norm1) { |
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| 55 | $count = count($sample); |
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| 56 | $sample = array_fill(0, $count, 1.0 / $count); |
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| 57 | } else { |
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| 58 | foreach ($sample as &$feature) { |
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| 59 | $feature = $feature / $norm1; |
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| 60 | } |
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| 61 | } |
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| 62 | } |
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| 63 | ||
| 64 | /** |
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| 65 | * @param array $sample |
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| @@ 67-82 (lines=16) @@ | ||
| 64 | /** |
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| 65 | * @param array $sample |
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| 66 | */ |
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| 67 | private function normalizeL2(array &$sample) |
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| 68 | { |
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| 69 | $norm2 = 0; |
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| 70 | foreach ($sample as $feature) { |
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| 71 | $norm2 += $feature * $feature; |
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| 72 | } |
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| 73 | $norm2 = sqrt($norm2); |
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| 74 | ||
| 75 | if (0 == $norm2) { |
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| 76 | $sample = array_fill(0, count($sample), 1); |
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| 77 | } else { |
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| 78 | foreach ($sample as &$feature) { |
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| 79 | $feature = $feature / $norm2; |
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| 80 | } |
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| 81 | } |
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| 82 | } |
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| 83 | } |
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| 84 | ||
