class_docstr: Laplace Distribution
  ----
  This class contains methods relating to the Laplace distribution for time series.
class_docstr_tok: ["Laplace","Distribution","--","--","This","class","contains","methods","relating","to","the","Laplace","distribution","for","time","series","."]
docstr: GAS Dynamic Regression Laplace Model Recursion - gradient only
  
  Returns
  ----------
  - Recursion function for GAS Dynamic Regression Laplace model - gradient only
docstr_tok: ["GAS","Dynamic","Regression","Laplace","Model","Recursion","-","gradient","only","Returns","--","--","--","--","--","-","Recursion","function","for","GAS","Dynamic","Regression","Laplace","model","-","gradient","only"]
code: def gradientreg_recursion():
      """GAS Dynamic Regression Laplace Model Recursion - gradient only
  
      Returns
      ----------
      - Recursion function for GAS Dynamic Regression Laplace model - gradient only
      """
      return gas_reg_recursion_laplace_orderone
  
imports: import numpy
  import scipy.stats
  import scipy.special
  from .family import Family
  from .flat import Flat
  from .normal import Normal
  from .gas_recursions import gas_recursion_laplace_orderone, gas_recursion_laplace_ordertwo
  from .gas_recursions import gasx_recursion_laplace_orderone, gasx_recursion_laplace_ordertwo
  from .gas_recursions import gas_llev_recursion_laplace_orderone, gas_llev_recursion_laplace_ordertwo
  from .gas_recursions import gas_llt_recursion_laplace_orderone, gas_llt_recursion_laplace_ordertwo
  from .gas_recursions import gas_reg_recursion_laplace_orderone, gas_reg_recursion_laplace_ordertwo
label_desc: Use image node_id 22 for calling the Laplace obj's underlying member method code with example usage: obj.gradientreg_recursion() and returns: gas_reg_recursion_laplace_orderone