class_docstr: SARIMAX parameters.
  
  Parameters
  ----------
  spec : SARIMAXSpecification
      Specification of the SARIMAX model.
  
  Attributes
  ----------
  spec : SARIMAXSpecification
      Specification of the SARIMAX model.
  exog_names : list of str
      Names associated with exogenous parameters.
  ar_names : list of str
      Names associated with (non-seasonal) autoregressive parameters.
  ma_names : list of str
      Names associated with (non-seasonal) moving average parameters.
  seasonal_ar_names : list of str
      Names associated with seasonal autoregressive parameters.
  seasonal_ma_names : list of str
      Names associated with seasonal moving average parameters.
  param_names :list of str
      Names of all model parameters.
  k_exog_params : int
      Number of parameters associated with exogenous variables.
  k_ar_params : int
      Number of parameters associated with (non-seasonal) autoregressive
      lags.
  k_ma_params : int
      Number of parameters associated with (non-seasonal) moving average
      lags.
  k_seasonal_ar_params : int
      Number of parameters associated with seasonal autoregressive lags.
  k_seasonal_ma_params : int
      Number of parameters associated with seasonal moving average lags.
  k_params : int
      Total number of model parameters.
docstr: Return the parameters split by type into a dictionary.
  
  Returns
  -------
  split_params : dict
      Dictionary with keys 'exog_params', 'ar_params', 'ma_params',
      'seasonal_ar_params', 'seasonal_ma_params', and (unless
      `concentrate_scale=True`) 'sigma2'. Values are the parameters
      associated with the key, based on the `params` argument.
code: def to_dict(self):
      """
      Return the parameters split by type into a dictionary.
  
      Returns
      -------
      split_params : dict
          Dictionary with keys 'exog_params', 'ar_params', 'ma_params',
          'seasonal_ar_params', 'seasonal_ma_params', and (unless
          `concentrate_scale=True`) 'sigma2'. Values are the parameters
          associated with the key, based on the `params` argument.
      """
      return self._params_split.copy()
  
imports: import numpy
  import pandas
  from numpy.polynomial import Polynomial
  from statsmodels.tsa.statespace.tools import is_invertible
  from statsmodels.tsa.arima.tools import validate_basic
label_desc: Use image node_id 30 for calling the SARIMAXParams obj's underlying member method code with example usage: obj.to_dict() and returns: self