Code Coverage |
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Classes and Traits |
Functions and Methods |
Lines |
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100.00% |
1 / 1 |
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100.00% |
1 / 1 |
CRAP | |
100.00% |
9 / 9 |
NaiveBayes | |
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1 / 1 |
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100.00% |
1 / 1 |
4 | |
100.00% |
9 / 9 |
predictSample | |
100.00% |
1 / 1 |
4 | |
100.00% |
9 / 9 |
<?php | |
declare (strict_types = 1); | |
namespace Phpml\Classification; | |
use Phpml\Helper\Predictable; | |
use Phpml\Helper\Trainable; | |
class NaiveBayes implements Classifier | |
{ | |
use Trainable, Predictable; | |
/** | |
* @param array $sample | |
* | |
* @return mixed | |
*/ | |
protected function predictSample(array $sample) | |
{ | |
$predictions = []; | |
foreach ($this->labels as $index => $label) { | |
$predictions[$label] = 0; | |
foreach ($sample as $token => $count) { | |
if (array_key_exists($token, $this->samples[$index])) { | |
$predictions[$label] += $count * $this->samples[$index][$token]; | |
} | |
} | |
} | |
arsort($predictions, SORT_NUMERIC); | |
reset($predictions); | |
return key($predictions); | |
} | |
} |