class_docstr: Ornstein Uhlenbeck Kernel
  
  Parameters
  ----------
  X : np.ndarray
      The RHS factors for the GP regression
class_docstr_tok: ["Ornstein","Uhlenbeck","Kernel","Parameters","--","--","--","--","--","X",":","np.ndarray","The","RHS","factors","for","the","GP","regression"]
docstr: Returns K(x*, x*)
  
  Parameters
  ----------
  parm : np.ndarray
      Parameters for the K(x*, x*)
  
  Xstar : np.ndarray
      Data for prediction
  
  Returns
  ----------
  - K(x*, x*)
docstr_tok: ["Returns","K","(","x","*",",","x","*",")","Parameters","--","--","--","--","--","parm",":","np.ndarray","Parameters","for","the","K","(","x","*",",","x","*",")","Xstar",":","np.ndarray","Data","for","prediction","Returns","--","--","--","--","--","-","K","(","x","*",",","x","*",")"]
code: def Kstarstar(self, parm, Xstar):
      """Returns K(x*, x*)
  
      Parameters
      ----------
      parm : np.ndarray
          Parameters for the K(x*, x*)
  
      Xstar : np.ndarray
          Data for prediction
  
      Returns
      ----------
      - K(x*, x*)
      """
      return OU_Kstarstar_matrix(Xstar, parm)
  
imports: import sys
  import numpy
  from ..None import families
  from .kernel_routines import SE_K_matrix, SE_Kstar_matrix, SE_Kstarstar_matrix, SE_K_arbitrary_X_matrix
  from .kernel_routines import OU_K_matrix, OU_Kstar_matrix, OU_Kstarstar_matrix, OU_K_arbitrary_X_matrix
  from .kernel_routines import RQ_K_matrix, RQ_Kstar_matrix, RQ_Kstarstar_matrix, RQ_K_arbitrary_X_matrix
  from .kernel_routines import ARD_K_matrix, ARD_Kstar_matrix, ARD_Kstarstar_matrix, ARD_K_arbitrary_X_matrix
  from .kernel_routines import Periodic_K_matrix, Periodic_Kstar_matrix, Periodic_Kstarstar_matrix, Periodic_K_arbitrary_X_matrix
label_desc: Use image node_id 6 for calling the OrnsteinUhlenbeck obj's underlying member method code with example usage: obj.Kstarstar(parm, Xstar) and returns: OU_Kstarstar_matrix