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: Builds latent variables for this kernel
  
  Returns
  ----------
  - A list of lists (each sub-list contains latent variable information)
docstr_tok: ["Builds","latent","variables","for","this","kernel","Returns","--","--","--","--","--","-","A","list","of","lists","(","each","sub-list","contains","latent","variable","information",")"]
code: def build_latent_variables():
      """Builds latent variables for this kernel
  
      Returns
      ----------
      - A list of lists (each sub-list contains latent variable information)
      """
      lvs_to_build = []
      lvs_to_build.append(
          [
              "Noise Sigma^2",
              fam.Flat(transform="exp"),
              fam.Normal(0, 3),
              -1.0,
          ]
      )
      lvs_to_build.append(
          ["l", fam.Flat(transform="exp"), fam.Normal(0, 3), -1.0]
      )
      lvs_to_build.append(
          ["tau", fam.Flat(transform="exp"), fam.Normal(0, 3), -1.0]
      )
      return lvs_to_build
  
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 2 for calling the OrnsteinUhlenbeck obj's underlying member method code with example usage: obj.build_latent_variables() and returns: lvs_to_build