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1 ''' 2 @author: Eleftherios Avramidis 3 ''' 4 5 from sentence.rankhandler import RankHandler 6 from featuregenerator.featuregenerator import FeatureGenerator 7 from featuregenerator.diff_generator import DiffGenerator 8 from sentence.dataset import DataSet 9 from dataprocessor.input.orangereader import OrangeData 1012 ''' 13 classdocs 14 ''' 15 165518 ''' 19 Constructor 20 ''' 21 self.classifier = classifier 22 self.desired_attributes = desired_attributes 23 self.meta_attributes = meta_attributes24 25 2628 rankhandler = RankHandler() 29 allow_ties = False 30 parallelsentences = rankhandler.get_pairwise_from_multiclass_set([parallelsentence], allow_ties) 31 32 try: 33 print parallelsentence.get_attribute("id") 34 except: 35 pass 36 37 if apply_diff: 38 dg = DiffGenerator() 39 40 parallelsentences = [dg.add_features_parallelsentence(parallelsentence) for parallelsentence in parallelsentences] 41 42 dataset = DataSet(parallelsentences) 43 44 class_name = "rank" 45 test_data = OrangeData(dataset, class_name, self.desired_attributes, self.meta_attributes) 46 47 classified_data = test_data.classify_with(self.classifier) 48 parallelsentences = classified_data.get_dataset().get_parallelsentences() 49 parallelsentences = rankhandler.get_multiclass_from_pairwise_set(parallelsentences, allow_ties) 50 51 52 print "got %d multiclass after classification" % len(parallelsentences) 53 54 return parallelsentences[0]
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