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分享机器学习中K紧邻算法问题
>>> def createDataSet():
group=array([[1.0,1.1],[1.0,1.0],[0,0][0,0.1]])
labels=['A','A','B','B']
return group,labels
>>> import kNN
>>> group,labels=kNN.createDataSet()
Traceback (most recent call last):
File "<pyshell#3>", line 1, in <module>
group,labels=kNN.createDataSet()
AttributeError: module 'kNN' has no attribute 'createDataSet'
group=array([[1.0,1.1],[1.0,1.0],[0,0][0,0.1]])
labels=['A','A','B','B']
return group,labels
>>> import kNN
>>> group,labels=kNN.createDataSet()
Traceback (most recent call last):
File "<pyshell#3>", line 1, in <module>
group,labels=kNN.createDataSet()
AttributeError: module 'kNN' has no attribute 'createDataSet'
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