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use numpy broadcasting instead of function 'tile' #4

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use numpy broadcasting instead of function 'tile' #4

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6 changes: 3 additions & 3 deletions Ch02/kNN.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@

def classify0(inX, dataSet, labels, k):
dataSetSize = dataSet.shape[0]
diffMat = tile(inX, (dataSetSize,1)) - dataSet
diffMat = asarray(inX) - dataSet
sqDiffMat = diffMat**2
sqDistances = sqDiffMat.sum(axis=1)
distances = sqDistances**0.5
Expand Down Expand Up @@ -60,8 +60,8 @@ def autoNorm(dataSet):
ranges = maxVals - minVals
normDataSet = zeros(shape(dataSet))
m = dataSet.shape[0]
normDataSet = dataSet - tile(minVals, (m,1))
normDataSet = normDataSet/tile(ranges, (m,1)) #element wise divide
normDataSet = dataSet - minVals
normDataSet = normDataSet/ranges #element wise divide
return normDataSet, ranges, minVals

def datingClassTest():
Expand Down