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hub / github.com/Jack-Cherish/Machine-Learning / loadDataSet

Function loadDataSet

SVM/svmMLiA.py:61–76  ·  view source on GitHub ↗

读取数据 Parameters: fileName - 文件名 Returns: dataMat - 数据矩阵 labelMat - 数据标签

(fileName)

Source from the content-addressed store, hash-verified

59 return K #返回计算的核K
60
61def loadDataSet(fileName):
62 """
63 读取数据
64 Parameters:
65 fileName - 文件名
66 Returns:
67 dataMat - 数据矩阵
68 labelMat - 数据标签
69 """
70 dataMat = []; labelMat = []
71 fr = open(fileName)
72 for line in fr.readlines(): #逐行读取,滤除空格等
73 lineArr = line.strip().split('\t')
74 dataMat.append([float(lineArr[0]), float(lineArr[1])]) #添加数据
75 labelMat.append(float(lineArr[2])) #添加标签
76 return dataMat,labelMat
77
78def calcEk(oS, k):
79 """

Callers 1

testRbfFunction · 0.70

Calls

no outgoing calls

Tested by

no test coverage detected