class_docstr: Squared exponential kernel. 
class_docstr_tok: ["Squared","exponential","kernel","."]
docstr: Evaluates the SE kernel between X1 and X2 and returns the gram matrix. 
docstr_tok: ["Evaluates","the","SE","kernel","between","X1","and","X2","and","returns","the","gram","matrix","."]
code: def _child_evaluate(self, X1, X2):
      """Evaluates the SE kernel between X1 and X2 and returns the gram matrix."""
      scaled_X1 = self.get_scaled_repr(X1)
      scaled_X2 = self.get_scaled_repr(X2)
      dist_sq = dist_squared(scaled_X1, scaled_X2)
      K = self.hyperparams["scale"] * np.exp(-dist_sq / 2)
      return K
  
imports: from __future__ import print_function
  import numpy
  from scipy.linalg import solve_triangular
label_desc: Use image node_id 6 for calling the SEKernel obj's underlying member method code with example usage: obj._child_evaluate(X1, X2) and returns: K