(fileName)
| 14 | """ |
| 15 | |
| 16 | def loadDataSet(fileName): |
| 17 | numFeat = len((open(fileName).readline().split('\t'))) |
| 18 | dataMat = []; labelMat = [] |
| 19 | fr = open(fileName) |
| 20 | for line in fr.readlines(): |
| 21 | lineArr = [] |
| 22 | curLine = line.strip().split('\t') |
| 23 | for i in range(numFeat - 1): |
| 24 | lineArr.append(float(curLine[i])) |
| 25 | dataMat.append(lineArr) |
| 26 | labelMat.append(float(curLine[-1])) |
| 27 | |
| 28 | return dataMat, labelMat |
| 29 | |
| 30 | def stumpClassify(dataMatrix,dimen,threshVal,threshIneq): |
| 31 | """ |