class_docstr: Exponential Distribution
  ----
  This class contains methods relating to the Exponential distribution for time series.
docstr: Builds additional latent variables for this family
  
  Returns
  ----------
  - A list of lists (each sub-list contains latent variable information)
docstr_tok: ["Builds","additional","latent","variables","for","this","family","Returns","--","--","--","--","--","-","A","list","of","lists","(","each","sub-list","contains","latent","variable","information",")"]
code: def build_latent_variables():
      """Builds additional latent variables for this family
  
      Returns
      ----------
      - A list of lists (each sub-list contains latent variable information)
      """
      lvs_to_build = []
      return lvs_to_build
  
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_exponential_orderone, gas_recursion_exponential_ordertwo
  from .gas_recursions import gasx_recursion_exponential_orderone, gasx_recursion_exponential_ordertwo
  from .gas_recursions import gas_llev_recursion_exponential_orderone, gas_llev_recursion_exponential_ordertwo
  from .gas_recursions import gas_llt_recursion_exponential_orderone, gas_llt_recursion_exponential_ordertwo
  from .gas_recursions import gas_reg_recursion_exponential_orderone, gas_reg_recursion_exponential_ordertwo
label_desc: Use image node_id 4 for calling the Exponential obj's underlying member method code with example usage: obj.build_latent_variables() and returns: lvs_to_build