code: def __init__(self, n=3):
      self.n = n
      self.kernels = [
          gaussian_process.kernels.Matern(nu=2.5),
          gaussian_process.kernels.Matern(nu=2.5),
      ]
  
imports: import random
  import os
  import sys
  import collections
  import itertools
  import pickle
  import scipy.sparse
  import networkx
  import numpy
  from sklearn.cluster import SpectralClustering
  from sklearn import gaussian_process
  from scipy.optimize import minimize
  from bayes_opt import BayesianOptimization
label_desc: Use image node_id 1 to create a new K object from inherited base classes: gaussian_process.kernels with example: obj = K(n)