Machine Learning, NLP, Artificial Intelligence, Machine Intelligence, Tutorial.
fb_scores[sequences[i][mbr_index]] += sequence_scores[i] print "Minimum Bayes Risk Scores for :" for key in fb_scores: print("%-20s %0.8f" % (key,fb_scores[key])) best_fb_score = max(fb_scores.values()) best_y = [key for (key,value) in fb_scores.items() if value == best_fb_score] print "\nBest