class_docstr: TSM PARENT CLASS
  
  Contains general time series methods to be inherited by models.
  
  Parameters
  ----------
  model_type : str
      The type of model (e.g. 'ARIMA', 'GARCH')
class_docstr_tok: ["TSM","PARENT","CLASS","Contains","general","time","series","methods","to","be","inherited","by","models",".","Parameters","--","--","--","--","--","model_type",":","str","The","type","of","model","(","e.g",".","'ARIMA","'",",","'GARCH","'",")"]
docstr: Transforms latent variables to actual scale by applying link function
  
  Returns
  ----------
  Transformed latent variables 
docstr_tok: ["Transforms","latent","variables","to","actual","scale","by","applying","link","function","Returns","--","--","--","--","--","Transformed","latent","variables"]
code: def transform_z(self):
      """Transforms latent variables to actual scale by applying link function
  
      Returns
      ----------
      Transformed latent variables
      """
      return self.latent_variables.get_z_values(transformed=True)
  
imports: from math import exp, sqrt, log, tanh
  import copy
  import sys
  import warnings
  import numpy
  from scipy import optimize
  import numdifftools
  import pandas
  from .covariances import acf
  from .families import Normal
  from .inference import BBVI, BBVIM, MetropolisHastings, norm_post_sim
  from .output import TablePrinter
  from .tests import find_p_value
  from .latent_variables import LatentVariable, LatentVariables
  from .results import BBVIResults, MLEResults, LaplaceResults, MCMCResults
label_desc: Use image node_id 13 for calling the TSM obj's underlying member method code with example usage: obj.transform_z() and returns: self