Change model from 'frequency matrix model' into 'Direct model'

Changed into accordance list binary string data -> string data

news_classify_tag.py

@@ -119,6 +119,7 @@ class Classifier:
 
     @property
     def teg_accordance(self, persantage=20):
+
         """
         Class method for computing % af tag accordance 
         :return: tuple of % af tag accordance
@@ -128,7 +129,7 @@ class Classifier:
             temp_matrix = self.tag_frequency_matrix[row]
             rez_summ = temp_matrix[self.matrix_test_data.toarray ()[0] > 0].sum ()
             if rez_summ > (persantage / 100):
-                vector_accordance.append ((int(self.tags[row][0]), int (rez_summ * 1000) / 10, self.tags[row][1]))
+                vector_accordance.append ((int(self.tags[row][0]), int (rez_summ * 1000) / 10, self.tags[row][1].decode('ascii', 'ignore')))
             vector_accordance.sort (key=lambda tup: tup[1], reverse=True)
 
         return vector_accordance