Algorithms/Statistical-Learning-Method_Code
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Dod-o 2020-05-23 17:11:55 +08:00 committed by GitHub
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DecisionTree/DecisionTree.py
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@ -128,12 +128,8 @@ def calcBestFeature(trainDataList, trainLabelList):
:return: 信息增益最大的特征及最大信息增益值 :return: 信息增益最大的特征及最大信息增益值
''' '''
#将数据集和标签集转换为数组形式 #将数据集和标签集转换为数组形式
#trainLabelArr转换后需要转置，这样在取数时方便
#例如a = np.array([1, 2, 3]); b = np.array([1, 2, 3]).T
#若不转置，a[0] = [1, 2, 3]，转置后b[0] = 1, b[1] = 2
#对于标签集来说，能够很方便地取到每一位是很重要的
trainDataArr = np.array(trainDataList) trainDataArr = np.array(trainDataList)
trainLabelArr = np.array(trainLabelList).T trainLabelArr = np.array(trainLabelList)
#获取当前特征数目，也就是数据集的横轴大小 #获取当前特征数目，也就是数据集的横轴大小
featureNum = trainDataArr.shape[1] featureNum = trainDataArr.shape[1]