class_docstr: Time varying squared exponential kernel.
  For more info see the TV-GP-UCB paper:
  http://proceedings.mlr.press/v51/bogunovic16.pdf
class_docstr_tok: ["Time","varying","squared","exponential","kernel",".","For","more","info","see","the","TV-GP-UCB","paper",":","http",":","\/\/proceedings.mlr.press\/v51\/bogunovic16.pdf"]
code: def Kdiag(self, X):
      return self.variance * np.ones(X.shape[0])
  
file_path: orion/src/orion/algo/pbt/pb2_utils.py
imports: from copy import deepcopy
  import numpy
  from scipy.optimize import minimize
  from sklearn.metrics import euclidean_distances, pairwise_distances
  from orion.core.utils.module_import import ImportOptional
label_desc: Use image node_id 3 for calling the TVSquaredExp obj's underlying member method code with example usage: obj.Kdiag(X) and returns: unknown