class_docstr: Squared exponential kernel. 
class_docstr_tok: ["Squared","exponential","kernel","."]
docstr: Returns the scaled version of an input by the bandwidths. 
docstr_tok: ["Returns","the","scaled","version","of","an","input","by","the","bandwidths","."]
code: def get_scaled_repr(self, X):
      """Returns the scaled version of an input by the bandwidths."""
      return X / self.hyperparams["dim_bandwidths"]
  
imports: from __future__ import print_function
  import numpy
  from scipy.linalg import solve_triangular
label_desc: Use image node_id 7 for calling the SEKernel obj's underlying member method code with example usage: obj.get_scaled_repr(X) and returns: unknown