# File lib/classifier/bayes.rb, line 65
        def classifications(text)
                score = Hash.new
                training_count = @category_counts.values.inject { |x,y| x+y }.to_f
                @categories.each do |category, category_words|
                        score[category.to_s] = 0
                        total = category_words.values.inject(0) {|sum, element| sum+element}
                        text.word_hash.each do |word, count|
                                s = category_words.has_key?(word) ? category_words[word] : 0.1
                                score[category.to_s] += Math.log(s/total.to_f)
                        end
                        # now add prior probability for the category
                        s = @category_counts.has_key?(category) ? @category_counts[category] : 0.1
                        score[category.to_s] += Math.log(s / training_count)
                end
                return score
        end