Question: ` ` ` In [ ] : def knnclassifier ( xTr , yTr , xTe,k ) : function preds = knnclassifier ( xTr , yTr

```
In []: def knnclassifier(xTr,yTr,xTe,k):
function preds=knnclassifier(xTr,yTr,xTe,k);
k-nn classifier
Input:
xTr = nxd input matrix with n row-vectors of dimensionality d
yTr = n-dimensional vector of labels
xTe = mxd input matrix with m row-vectors of dimensionality d
k = number of nearest neighbors to be found
Output:
preds = predicted labels, ie preds(i) is the predicted label of xTe(i,:)
"""
# fix array shapes
yTr = yTr.flatten()
# YOUR CODE HERE
raise NotImplementedError()
```
` ` ` In [ ] : def knnclassifier ( xTr , yTr ,

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