class_docstr: Test for stationarity via the Kwiatkowski-Phillips-Schmidt-Shin Unit Root Test.
  
  Direct interface to ``KPSS`` test from the ``arch`` package.
  Does not assume ARCH process, naming is due to the use of the ``arch`` package.
  
  Uses ``arch.unitroot.KPSS`` as a test for trend-stationarity,
  and derives a boolean statement whether a series is (trend-)stationary.
  
  Also returns test results for the unit root test as fitted parameters.
  
  Parameters
  ----------
  lags : int, optional
      The number of lags to use in the Newey-West estimator of the long-run
      covariance.  If omitted or None, the number of lags is calculated
      with the data-dependent method of Hobijn et al. (1998). See also
      Andrews (1991), Newey & West (1994), and Schwert (1989).
      Set ``lags=-1`` to use the old method that only depends on the sample
      size, ``12 * (nobs/100) ** (1/4)``.
  trend : {"c", "ct"}, optional
      The trend component to include in the ADF test
          "c" - Include a constant (Default)
          "ct" - Include a constant and linear time trend
  
  Attributes
  ----------
  stationary_ : bool
      whether the series in ``fit`` is stationary according to the test
      more precisely, whether the null of the KPSS test is accepted at ``p_threshold``
  test_statistic_ : float
      The KPSS test statistic, of running ``KPSS`` on ``y`` in ``fit``
  pvalue_ : float : float
      p-value obtained when running ``KPSS`` on ``y`` in ``fit``
  usedlag_ : int
      The number of lags used in the test.
  
  Examples
  --------
  >>> from sktime.datasets import load_airline
  >>> from sktime.param_est.stationarity import StationarityKPSSArch
  >>>
  >>> X = load_airline()  # doctest: +SKIP
  >>> sty_est = StationarityKPSSArch()  # doctest: +SKIP
  >>> sty_est.fit(X)  # doctest: +SKIP
  StationarityKPSSArch(...)
  >>> sty_est.get_fitted_params()["stationary"]  # doctest: +SKIP
  True
docstr: Return testing parameter settings for the estimator.
  
  Parameters
  ----------
  parameter_set : str, default="default"
      Name of the set of test parameters to return, for use in tests. If no
      special parameters are defined for a value, will return `"default"` set.
      There are no reserved values for parameter estimators.
  
  Returns
  -------
  params : dict or list of dict, default = {}
      Parameters to create testing instances of the class
      Each dict are parameters to construct an "interesting" test instance, i.e.,
      `MyClass(**params)` or `MyClass(**params[i])` creates a valid test instance.
      `create_test_instance` uses the first (or only) dictionary in `params`
docstr_tok: ["Return","testing","parameter","settings","for","the","estimator",".","Parameters","--","--","--","--","--","parameter_set",":","str",",","default=","''","default","''","Name","of","the","set","of","test","parameters","to","return",",","for","use","in","tests",".","If","no","special","parameters","are","defined","for","a","value",",","will","return","`","``","default","''","`","set",".","There","are","no","reserved","values","for","parameter","estimators",".","Returns","--","--","--","-","params",":","dict","or","list","of","dict",",","default","=","{","}","Parameters","to","create","testing","instances","of","the","class","Each","dict","are","parameters","to","construct","an","``","interesting","''","test","instance",",","i.e.",",","`","MyClass","(","*","*","params",")","`","or","`","MyClass","(","*","*","params","[","i","]",")","`","creates","a","valid","test","instance",".","`","create_test_instance","`","uses","the","first","(","or","only",")","dictionary","in","`","params","`"]
code: def get_test_params(cls, parameter_set="default"):
      """Return testing parameter settings for the estimator.
  
      Parameters
      ----------
      parameter_set : str, default="default"
          Name of the set of test parameters to return, for use in tests. If no
          special parameters are defined for a value, will return `"default"` set.
          There are no reserved values for parameter estimators.
  
      Returns
      -------
      params : dict or list of dict, default = {}
          Parameters to create testing instances of the class
          Each dict are parameters to construct an "interesting" test instance, i.e.,
          `MyClass(**params)` or `MyClass(**params[i])` creates a valid test instance.
          `create_test_instance` uses the first (or only) dictionary in `params`
      """
      params1 = {}
      params2 = {
          "lags": 5,
          "trend": "ct",
          "p_threshold": 0.1,
      }
  
      return [params1, params2]
  
imports: from sktime.param_est.base import BaseParamFitter
label_desc: Use image node_id 3 for calling the StationarityKPSSArch obj's underlying member method code with example usage: obj.get_test_params(cls, parameter_set) and returns: list