Question

I’m trying to learn a little machine learning (and python), for now classifying with k-Nearest Neighbors. I get this error (what’s going on?):

dataSetSize = dataSet.shape[0]
TypeError: 'tuple' object is not callable

Checking for callable:

>>> callable(group)
False
>>> callable(labels)
False
>>> g = group()

They are false, but how to make them True?

The data:

>>> group
array([[ 1. ,  1.1],
       [ 1. ,  1. ],
       [ 0. ,  0. ],
       [ 0. ,  0.1]])
>>> labels
['A', 'A', 'B', 'B']

When I do this on my group variable I get this:

group.shape[0]
4

My call to this function:

>>> kNN.classify0([0, 0], group, labels, 3)



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

Answer 1

Check using the built in callable function to check if a object is callable :
callabe(object) => returns True if object is callable