class_docstr: K Nearest Neighbors classifier.
  
  Parameters:
  -----------
  k: int
      The number of closest neighbors that will determine the class of the 
      sample that we wish to predict.
code: def __init__(self, k=5):
      self.k = k
  
imports: from __future__ import print_function, division
  import numpy
  from mlfromscratch.utils import euclidean_distance
label_desc: Use image node_id 1 to create a new KNN object  with example: obj = KNN(k)