Method Cross validation

news_classify_tag.py

@@ -150,15 +150,15 @@ class Classifier:
         self.X_data = X_data
 
         # ___________________result usage __________________________
-        # X_test = self.vectorarizer.transform(["Hello In the world from android programmers. My apps are so cool.",])
-        # rez2 = self.classifier.predict(X_test)
-        # rez_probabl_dictionary = dict(zip(links_tags, rez[0]))
+        # X_test = self.vectorizer.transform(["Hello In the world from android programmers. My apps are so cool.",])
+        # rez2 = self.classifier.predict_proba(X_test)
+        # # print(rez2)
+        # rez_probabl_dictionary = dict(zip(self.links_tags, rez2[0]))
         # sorted_probabl_probabl = sorted(rez_probabl_dictionary.items(), key = lambda x: x[1], reverse=True)
-
-        # print(sorted_probabl_probabl)
+        # # print(sorted_probabl_probabl)
         # for item in sorted_probabl_probabl:
         #     if item[1]< 0.09: continue
-        #     print(item[0], self.tags[item[0]-1][1].decode("ascii", 'ignore'), item[1], end=", ")
+        #     print(item[0], self.tags[item[0]-1][1].decode("ascii", 'ignore'), item[1], end="; ")
         # print()
         # exit(0)