类型错误:列表索引必须是整数,而不是str的
问题描述:
使用的变量的声明如下:类型错误:列表索引必须是整数,而不是str的
self.features = {} #dictionary defined for storing the features and the values
self.featureNameList = [] #list to store the names and values of the features
self.featureCounts = collections.defaultdict(lambda: 1) #the counts of the features and labels
self.featureVectors = [] #
self.labelCounts = collections.defaultdict(lambda: 0)
def Classify(self): #featureVector is a simple list like the ones that we use to train
probabilityPerLabel = {}
for label in self.labelCounts.keys():
Prob = 0
for featureValue in self.featureVectors:
#print self.labelCounts[label]
Prob+=self.featureCounts[[label][self.featureNameList[self.featureVectors.index(featureValue)]][featureValue]]/self.labelCounts[label]
# Prob+= self.featureCounts(label, self.featureNameList[self.featureVectors.index(featureValue)], featureValue)/self.labelCounts[label]
probabilityPerLabel[label] = (self.labelCounts[label]/sum(self.labelCounts.values())) * (Prob)
print probabilityPerLabel
return max(probabilityPerLabel, key = lambda classLabel: probabilityPerLabel[classLabel])
的错误是在生产线生产:
Prob+=self.featureCounts[[label][self.featureNameList[self.featureVectors.index(featureValue)]][featureValue]]/self.labelCounts[label]
答
你的问题可能是:
[label][self.featureNameList[self.featureVectors.index(featureValue)]
它是什么样子让我看到你正在长度为1的列表:
[label]
然后你想通过索引从它那里得到一个元素:
[self.featureNameList[self.featureVectors.index(featureValue)]
但外括号内的东西,计算结果为一个字符串。并且字符串不能用于索引列表。
最终,这几乎可以肯定是而不是你正在尝试做什么,但我认为它解释了错误。一般来说,我会建议你避免使用这种长时间混淆的1-liners,并使用临时(但恰当命名)的变量将其分解为它的组成部分。这将使您的代码更易于理解,因此编写和开发起来会更容易。
哪条线产生错误? – mgilson
Prob + = self.featureCounts [[label] [self.featureNameList [self.featureVectors.index(featureValue)]] [featureValue]]/self.labelCounts [标签] – Soham