Create NaiveBayesFilter draft

Math/Stochastic/NaiveBayesFilter.php

@@ -0,0 +1,63 @@
+<?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;
+    }
+}