33c643f35b2ce194f5b092bb81994a9668a02a8d,tgen/rank.py,PerceptronRanker,_training_iter,#PerceptronRanker#Any#,146

Before Change

        iter_end_time = time.clock()

        log_info("Iteration %05d -- tree-level accuracy: %.4f" % (iter_no, iter_acc))
        log_info(" * Generated trees NODE scores: P: %.4f, R: %.4f, F: %.4f" %
                 self.evaluator.p_r_f1())
        log_info(" * Generated trees DEP  scores: P: %.4f, R: %.4f, F: %.4f" %

After Change

        @return: a tuple of Evaluator and ListsAnalyzer objects containing iteration statistics.

        iter_start_time = time.clock()
        self.evaluator = Evaluator()
        self.lists_analyzer = ASearchListsAnalyzer()

        log_debug("\n***\nTR %05d:" % iter_no)

Instances