def classify(self, features):
votes = []
for c in self._classifiers:
v = c.classify(features)
votes.append(v)
return mode(votes)
#Defining another parameter, confidence.
#Since we have algorithms voting, we can tally the votes for and against the winning vote, and call this "confidence.
Train_Classifiers.py 文件源码
python
阅读 21
收藏 0
点赞 0
评论 0
评论列表
文章目录