类型错误:列表索引必须是整数,而不是s

2024-04-18 10:34:39 发布

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所用变量的声明如下:

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])

错误是在以下行产生的:

Prob+=self.featureCounts[[label][self.featureNameList[self.featureVectors.index(featureValue)]][featureValue]]/self.labelCounts[label]

Tags: andthelambdaselfforlabelfeaturesvalues
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1楼 · 发布于 2024-04-18 10:34:39

你的问题可能是:

[label][self.featureNameList[self.featureVectors.index(featureValue)]

在我看来,你列出了一个长度为1的列表:

[label]

然后尝试通过索引从中获取元素:

[self.featureNameList[self.featureVectors.index(featureValue)]

但外括号中的内容计算为字符串。字符串不能用于索引列表。

最后,这几乎肯定不是你想做的,但我认为这解释了错误。一般来说,我建议您避免像这样长而混乱的一行程序,并使用临时(但名称恰当)变量将其分解为各个组成部分。这将使您的代码更容易理解,因此它将更容易编写和开发。

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