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update to python3 #1

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update to python3 #1

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a7ee7b7
update to python3
mengmengmengqiang Dec 31, 2017
5d60cc7
solve the error of def saveResult()
mengmengmengqiang Jan 1, 2018
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10 changes: 5 additions & 5 deletions Digit Recognizer/kNN/kNN_by_myself.py
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Original file line number Diff line number Diff line change
Expand Up @@ -75,11 +75,11 @@ def classify(inX, dataSet, labels, k):
for i in range(k):
voteIlabel = labels[sortedDistIndicies[i],0]
classCount[voteIlabel] = classCount.get(voteIlabel,0) + 1
sortedClassCount = sorted(classCount.iteritems(), key=operator.itemgetter(1), reverse=True)
sortedClassCount = sorted(classCount.items(), key=operator.itemgetter(1), reverse=True)
return sortedClassCount[0][0]

def saveResult(result):
with open('result.csv','wb') as myFile:
with open('result.csv','w') as myFile:
myWriter=csv.writer(myFile)
for i in result:
tmp=[]
Expand All @@ -97,10 +97,10 @@ def handwritingClassTest():
for i in range(m):
classifierResult = classify(testData[i], trainData, trainLabel.transpose(), 5)
resultList.append(classifierResult)
print "the classifier came back with: %d, the real answer is: %d" % (classifierResult, testLabel[0,i])
print ("the classifier came back with: " + str(classifierResult) + ", the real answer is: " + str(testLabel[0,i]))
if (classifierResult != testLabel[0,i]): errorCount += 1.0
print "\nthe total number of errors is: %d" % errorCount
print "\nthe total error rate is: %f" % (errorCount/float(m))
print ("the total number of errors is: " + str(errorCount))
print ("the total error rate is: " + str((errorCount/float(m))))
saveResult(resultList)
'''
trainData[0:20000], trainLabel.transpose()[0:20000]
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