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Create NaiveBayesFilter draft

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Dennis Eichhorn 2017-07-18 15:39:18 +02:00 committed by GitHub
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commit ffa8d39031
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Math/Stochastic/NaiveBayesFilter.php Normal file
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<?php
/**
* Orange Management
*
* PHP Version 7.1
*
* @category TBD
* @package TBD
* @author OMS Development Team <dev@oms.com>
* @author Dennis Eichhorn <d.eichhorn@oms.com>
* @copyright Dennis Eichhorn
* @license OMS License 1.0
* @version 1.0.0
* @link http://orange-management.com
*/
declare(strict_types=1);
namespace phpOMS\Math\Stochastic;
/**
* Bernulli distribution.
*
* @category Framework
* @package phpOMS\DataStorage\Database
* @author OMS Development Team <dev@oms.com>
* @author Dennis Eichhorn <d.eichhorn@oms.com>
* @license OMS License 1.0
* @link http://orange-management.com
* @since 1.0.0
*/
class NaiveBayesFilter
{
private $dict = [];
public function __construct()
{
}
public function trainMatch($matched) \* : void *\
{
}
public function trainMismatch($mismatch) \* : void *\
{
}
public function match($toMatch) : float
{
$normalizedDict = $this->normalizeDictionary();
$n = 0.0;
foreach($toMatch as $element) {
if(isset($normalizedDict[$element])) {
$n += log(1-$normalizedDict[$element]['match'] / $normalizedDict[$element]['total']) - log($normalizedDict[$element]['match'] / $normalizedDict[$element]['total']);
}
}
return 1 / (1+exp(M_E, $n));
}
private function normalizeDictionary() : array
{
return $this->dict;
}
}