-
Notifications
You must be signed in to change notification settings - Fork 0
/
voteclassifier.py
36 lines (31 loc) · 1.16 KB
/
voteclassifier.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
from nltk.classify import ClassifierI
from statistics import mode
#=================================================================
#=================================================================
#=================================================================
#======================class Vote Classifier===================
class voteClassifier(ClassifierI):
def __init__(self, *classifiers):
self._classifiers = classifiers
def f_classify(self, features):
votes = []
for c in self._classifiers:
v = c.classify(features)
votes.append(v)
## if len(set(votes)) != len(votes):
## Most = mode(votes)
## print('the mode is ', Most)
## else:
## print('no duplicates in nums')
## print(votes)
## print(len(votes))
return mode(votes)
def f_confidence(self, features):
votes = []
for c in self._classifiers:
v = c.classify(features)
votes.append(v)
choice_votes = votes.count(mode(votes))
conf = choice_votes / len(votes)
return conf
#====================================