91av视频/亚洲h视频/操亚洲美女/外国一级黄色毛片 - 国产三级三级三级三级

  • 大小:
    文件類型: .zip
    金幣: 2
    下載: 0 次
    發布日期: 2023-10-23
  • 語言: 其他
  • 標簽: kNN??

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資源截圖

代碼片段和文件信息

from?numpy?import?*
import?operator
from?os?import?listdir
import?matplotlib.pyplot?as?plt?

def?createDataSet():
group?=?array([[1.01.1][1.01.0][00][00.1]])
labels?=?[‘A‘‘A‘‘B‘‘B‘]
return?grouplabels

def?classify0(inXdataSetlabelsk):
dataSetSize?=?dataSet.shape[0]
diffMat?=?tile(inX?(dataSetSize1))-dataSet
sqDiffMat?=?diffMat**2
sqDistances?=?sqDiffMat.sum(axis=1)
distances?=?sqDistances**0.5
sortedDistIndicies?=?distances.argsort()
classCount={}
for?i?in?range(k):
voteIlabel?=?labels[sortedDistIndicies[i]]
classCount[voteIlabel]?=?classCount.get(voteIlabel0)+1
sortedClassCount?=?sorted(classCount.iteritems()key=operator.itemgetter(1)reverse=True)
return?sortedClassCount[0][0]

def?file2matrix(filename):
fr?=?open(filename)
arrayOLines?=?fr.readlines()
numberOfLines?=?len(arrayOLines)
returnMat?=?zeros((numberOfLines3))
classLabelVector?=?[]
index?=?0
for?line?in?arrayOLines:
line?=?line.strip()
listFromLine?=?line.split(‘\t‘)
returnMat[index:]?=?listFromLine[0:3]
classLabelVector.append(int(listFromLine[-1]))
index?+=?1
return?returnMatclassLabelVector

def?autoNorm(dataSet):
minVals?=?dataSet.min(0)
maxVals?=?dataSet.max(0)
ranges?=maxVals?-?minVals
normDataSet?=?zeros(shape(dataSet))
m?=?dataSet.shape[0]
normDataSet?=?dataSet?-?tile(minVals?(m1))
normDataSet?=?normDataSet/tile(ranges?(m1))
return?normDataSetrangesminVals

def?datingClassTest():
hoRatio?=?0.10
datingDataMatdatingLabels?=?file2matrix(‘datingTestSet2.txt‘)
normMatrangesminVals?=?autoNorm(datingDataMat)
m?=?normMat.shape[0]
numTestVecs?=?int(m*hoRatio)
errorCount?=?0.0
for?i?in?range(numTestVecs):
classifierResult?=?classify0(normMat[i:]?normMat[numTestVecs:m:]?datingLabels[numTestVecs:m]?3)
print?“the?classifier?came?back?with:%dthe?real?answer?is:%d“%(classifierResult?datingLabels[i])
if?(classifierResult?!=?datingLabels[i]):errorCount?+=?1.0
print?“the?total?error?rate?is:?%f“?%?(errorCount/float(numTestVecs))

def?classifyPerson():
????resultList?=?[‘not?at?all‘‘in?small?doses‘‘in?large?doses‘]
????percentTats?=?float(raw_input(“percentage?of?time?spent?playing?video?games?“))
????ffMiles?=?float(raw_input(“frequent?flier?miles?earned?per?year?“))
????iceCream?=?float(raw_input(“liters?of?icecream?consumed?per?year?“))
????datingDataMatdatingLabels?=?file2matrix(‘datingTestSet2.txt‘)
????normMatrangesminVals?=?autoNorm(datingDataMat)
????inArr?=?array([ffMilespercentTatsiceCream])
????classifierResult?=?classify0((inArr-minVals)/ranges?normMat?datingLabels?3)
????print?“You?will?probably?like?this?person:“resultList[classifierResult-1]


def?img2vector(filename):
returnVect?=?zeros((11024))
fr?=?open(filename)
for?i?in?range(32):
lineStr?=?fr.readline()
for?j?in?range(32):
returnVect[032*i+j]?=?int(lineStr[j])
return?returnVect

def?handwritingClassTest():
hwLabels?=?[]

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2017-02-27?20:58??kNN\
?????文件???????27067??2012-03-01?15:39??kNN\datingTestSet2.txt
?????文件??????739988??2011-05-04?15:43??kNN\digits.zip
?????文件????????4297??2017-04-10?17:05??kNN\kNN.py
?????文件????????4765??2017-02-27?20:58??kNN\kNN.pyc
?????文件???????27136??2016-06-16?04:21??kNN\python.exe
?????目錄???????????0??2011-05-05?07:37??kNN\testDigits\
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_0.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_1.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_10.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_11.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_12.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_13.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_14.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_15.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_16.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_17.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_18.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_19.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_2.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_20.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_21.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_22.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_23.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_24.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_25.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_26.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_27.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_28.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_29.txt
?????文件????????1088??2010-10-07?21:35??kNN\testDigits\0_3.txt
............此處省略2860個文件信息

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