class_docstr: Adapter for using `hcrystalball` forecasters in sktime.
  
  Adapter class - wraps any forecaster from `hcrystalball`
  and allows using it as an `sktime` `BaseForecaster`.
  
  Parameters
  ----------
  model : The HCrystalBall forecasting model to use.
class_docstr_tok: ["Adapter","for","using","`","hcrystalball","`","forecasters","in","sktime",".","Adapter","class","-","wraps","any","forecaster","from","`","hcrystalball","`","and","allows","using","it","as","an","`","sktime","`","`","BaseForecaster","`",".","Parameters","--","--","--","--","--","model",":","The","HCrystalBall","forecasting","model","to","use","."]
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.
  
  Returns
  -------
  params : dict or list of dict
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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.
  
      Returns
      -------
      params : dict or list of dict
      """
      if _check_soft_dependencies("hcrystalball", severity="none"):
          from hcrystalball.wrappers import HoltSmoothingWrapper
  
          params = {"model": HoltSmoothingWrapper()}
  
      else:
          params = {"model": 42}
  
      return params
  
file_path: sktime/sktime/forecasting/adapters/_hcrystalball.py
imports: import pandas
  from sklearn.base import clone
  from sktime.forecasting.base import BaseForecaster
  from sktime.utils.validation._dependencies import _check_soft_dependencies
label_desc: Use image node_id 4 for calling the HCrystalBallAdapter obj's underlying member method code with example usage: obj.get_test_params(cls, parameter_set) and returns: params