class_docstr: Class to hold results from fitting an SARIMAX model.
  
  Parameters
  ----------
  model : SARIMAX instance
      The fitted model instance
  
  Attributes
  ----------
  specification : dictionary
      Dictionary including all attributes from the SARIMAX model instance.
  polynomial_ar : ndarray
      Array containing autoregressive lag polynomial coefficients,
      ordered from lowest degree to highest. Initialized with ones, unless
      a coefficient is constrained to be zero (in which case it is zero).
  polynomial_ma : ndarray
      Array containing moving average lag polynomial coefficients,
      ordered from lowest degree to highest. Initialized with ones, unless
      a coefficient is constrained to be zero (in which case it is zero).
  polynomial_seasonal_ar : ndarray
      Array containing seasonal autoregressive lag polynomial coefficients,
      ordered from lowest degree to highest. Initialized with ones, unless
      a coefficient is constrained to be zero (in which case it is zero).
  polynomial_seasonal_ma : ndarray
      Array containing seasonal moving average lag polynomial coefficients,
      ordered from lowest degree to highest. Initialized with ones, unless
      a coefficient is constrained to be zero (in which case it is zero).
  polynomial_trend : ndarray
      Array containing trend polynomial coefficients, ordered from lowest
      degree to highest. Initialized with ones, unless a coefficient is
      constrained to be zero (in which case it is zero).
  model_orders : list of int
      The orders of each of the polynomials in the model.
  param_terms : list of str
      List of parameters actually included in the model, in sorted order.
  
  See Also
  --------
  statsmodels.tsa.statespace.kalman_filter.FilterResults
  statsmodels.tsa.statespace.mlemodel.MLEResults
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docstr: (array) Seasonal autoregressive parameters actually estimated in the
  model. Does not include nonseasonal autoregressive parameters (see
  `arparams`) or parameters whose values are constrained to be zero.
docstr_tok: ["(","array",")","Seasonal","autoregressive","parameters","actually","estimated","in","the","model",".","Does","not","include","nonseasonal","autoregressive","parameters","(","see","`","arparams","`",")","or","parameters","whose","values","are","constrained","to","be","zero","."]
code: def seasonalarparams(self):
      """
      (array) Seasonal autoregressive parameters actually estimated in the
      model. Does not include nonseasonal autoregressive parameters (see
      `arparams`) or parameters whose values are constrained to be zero.
      """
      return self._params_seasonal_ar
  
imports: from warnings import warn
  import numpy
  import pandas
  from statsmodels.compat.pandas import Appender
  from statsmodels.tools.tools import Bunch
  from statsmodels.tools.data import _is_using_pandas
  from statsmodels.tools.decorators import cache_readonly
  import statsmodels.base.wrapper
  from statsmodels.tsa.arima.specification import SARIMAXSpecification
  from statsmodels.tsa.arima.params import SARIMAXParams
  from statsmodels.tsa.tsatools import lagmat
  from .initialization import Initialization
  from .mlemodel import MLEModel, MLEResults, MLEResultsWrapper
  from .tools import companion_matrix, diff, is_invertible, constrain_stationary_univariate, unconstrain_stationary_univariate, prepare_exog, prepare_trend_spec, prepare_trend_data
label_desc: Use image node_id 8 for calling the SARIMAXResults obj's underlying member method code with example usage: obj.seasonalarparams() and returns: self