Documer\Documer::getWordicity PHP Method

    public function getWordicity($wordTotalCount, $wordProbability, $wordInverseProbability)
    {
        $denominator = $wordProbability + $wordInverseProbability;
        /**
         * Bayes Theorem using the above parameters
         *
         * the probability that this document is a particular LABEL
         * given that a particular WORD is in it
         *
         */
        $wordicity = $wordProbability / $denominator;
        /*
         * here 0.5 is the weight, higher training data in the db means higher weight
         */
        $wordicity = (10 * 0.5 + $wordTotalCount * $wordicity) / (10 + $wordTotalCount);
        if ($wordicity == 0) {
            $wordicity = 0.01;
        } else {
            if ($wordicity == 1) {
                $wordicity = 0.99;
            }
        }
        return $wordicity;
    }