end Decision tree

pages/application/DecisionTree/utils/dtree.py

@@ -393,14 +393,18 @@ class DecisionTree():
                 done.append(target)
             return done
 
+        list_contrastive_expls = []
+
         to_hit = [set(s) for s in to_hit]
         to_hit.sort(key=lambda s: len(s))
         expls = list(reduce(process_set, to_hit, []))
         list_expls_str = []
         explanation = {}
         for expl in expls:
+            list_contrastive_expls.append([self.fvmap[(p[0],1-p[1])] for p in sorted(expl, key=lambda p: p[0])])
             list_expls_str.append('Contrastive: IF {0} THEN class!={1}'.format(' OR '.join(['!{0}'.format(self.fvmap[p]) for p in sorted(expl, key=lambda p: p[0])]), term))
 
+        explanation["List of path contrastive explanation(s)"] = list_contrastive_expls
         explanation["List of contrastive explanation(s)"] = list_expls_str
         explanation["Number of contrastive explanation(s) : "]=str(len(expls))
         explanation["Minimal contrastive explanation : "]= str( min([len(e) for e in expls]))