Web1 def calcShannonEnt (dataSet): 2 numEntries = len (dataSet) # 总记录数 3 labelCounts = {} # dataSet中所有出现过的标签值为键，相应标签值出现过的次数作为值 4 for featVec in dataSet: 5 currentLabel = featVec [-1 ] 6 labelCounts [currentLabel] = labelCounts.get (currentLabel, 0) + 1 7 shannonEnt = 0.0 8 for key in labelCounts: 9 prob = -float … WebJan 20, 2024 · def calcShannonEnt(dataSet): numEntries = len(dataSet) labelCounts = {} for featVec in dataSet: currentLabel = featVec[-1] if currentLabel not in labelCounts.keys(): labelCounts[currentLabel] = 0 labelCounts[currentLabel] += 1 shannonEnt = 0.0 for key in labelCounts: prob = float(labelCounts[key]) / numEntries shannonEnt -= prob * …

Segmentation to Classification

WebMay 24, 2016 · labelCounts 是存储所有label个数的字典，key为label，key_value为label个数。for循环计算label个数，并打印出字典值。函数返回熵值。 myDat, labels = … Webaccomplish. In an algorithm implementation, the C4.5 algorithm only modifies the function of the information gain calculation Calcshannonentoffeature and the optimal feature … raw materials initiative

how to understand the following empty if statement in python?

Web3 Answers Sorted by: 3 if currentLabel not in labelCounts.keys (): labelCounts [currentLabel] = 0 labelCounts [currentLabel] += 1 is error. It's probably badly indented and should be: if currentLabel not in labelCounts.keys (): labelCounts [currentLabel] = 0 labelCounts [currentLabel] += 1 You can't have "empty" if in Python. WebAug 20, 2024 · if currentLabel not in labelCounts.keys(): labelCounts[currentLabel]=0 labelCounts[currentLabel] += 1 # For the proportion of the label, find the Shannon entropy of the label shannonEnt = 0.0 for key in labelCounts: # Calculate the classification probability prob=tag frequency, labelCounts[key] divided by the data set length … WebFeb 1, 2024 · 以下输出结果是每个样本的类别都不同时的输出结果： 样本总数：8当前labelCounts状态：{'1': 1}当前labelCounts状态：{'1': 1, ' 《机器学习实战》第3章 … simple ho train layouts on 4x8