class_docstr: MrSEQL = Multiple Representations Sequence Learning classification model.
  
  Direct Interface to MrSEQLClassifier from mrseql.
  Note: mrseql itself is copyleft (GPL3). This interface is permissive license (BSD3).
  
  MrSEQL is an efficient time series classifier utilizing symbolic representations of
  time series, using SAX and SFA features.
  
  Parameters
  ----------
  seql_mode : str, either 'clf' or 'fs' (default).
      In the 'clf' mode, Mr-SEQL is an ensemble of SEQL models, while in the 'fs'
      mode Mr-SEQL, trains a logistic regression model with features extracted
      by SEQL from symbolic representations of time series.
  symrep : str, or list or tuple of string, strings being 'sax' or 'sfa'.
      default = "sax", i.e., only SAX features, no SFA features.
      The symbolic representations to be used to transform the input time series.
  custom_config : dict, optional, default=None
      Customized parameters for the symbolic transformation.
      If defined, symrep will be ignored.
      (no documentation of this parameter is provided in the original mrseql code)
  
  References
  ----------
  .. [1] Thach Le Nguyen, Severin Gsponer, Iulia Ilie, Martin O'Reilly,
     Georgiana Ifrim.
     "Interpretable Time Series Classification Using Linear Models and
     Multi-resolution Multi-domain Symbolic Representations",
     Data Mining and Knowledge Discovery, 2019.
class_docstr_tok: ["MrSEQL","=","Multiple","Representations","Sequence","Learning","classification","model",".","Direct","Interface","to","MrSEQLClassifier","from","mrseql",".","Note",":","mrseql","itself","is","copyleft","(","GPL3",")",".","This","interface","is","permissive","license","(","BSD3",")",".","MrSEQL","is","an","efficient","time","series","classifier","utilizing","symbolic","representations","of","time","series",",","using","SAX","and","SFA","features",".","Parameters","--","--","--","--","--","seql_mode",":","str",",","either","'clf","'","or","'fs","'","(","default",")",".","In","the","'clf","'","mode",",","Mr-SEQL","is","an","ensemble","of","SEQL","models",",","while","in","the","'fs'","mode","Mr-SEQL",",","trains","a","logistic","regression","model","with","features","extracted","by","SEQL","from","symbolic","representations","of","time","series",".","symrep",":","str",",","or","list","or","tuple","of","string",",","strings","being","'sax","'","or","'sfa","'",".","default","=","``","sax","''",",","i.e.",",","only","SAX","features",",","no","SFA","features",".","The","symbolic","representations","to","be","used","to","transform","the","input","time","series",".","custom_config",":","dict",",","optional",",","default=None","Customized","parameters","for","the","symbolic","transformation",".","If","defined",",","symrep","will","be","ignored",".","(","no","documentation","of","this","parameter","is","provided","in","the","original","mrseql","code",")","References","--","--","--","--","--","..","[","1","]","Thach","Le","Nguyen",",","Severin","Gsponer",",","Iulia","Ilie",",","Martin","O'Reilly",",","Georgiana","Ifrim",".","``","Interpretable","Time","Series","Classification","Using","Linear","Models","and","Multi-resolution","Multi-domain","Symbolic","Representations","''",",","Data","Mining","and","Knowledge","Discovery",",","2019","."]
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.
      For classifiers, a "default" set of parameters should be provided for
      general testing, and a "results_comparison" set for comparing against
      previously recorded results if the general set does not produce suitable
      probabilities to compare against.
  
  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",".","For","classifiers",",","a","``","default","''","set","of","parameters","should","be","provided","for","general","testing",",","and","a","``","results_comparison","''","set","for","comparing","against","previously","recorded","results","if","the","general","set","does","not","produce","suitable","probabilities","to","compare","against",".","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.
          For classifiers, a "default" set of parameters should be provided for
          general testing, and a "results_comparison" set for comparing against
          previously recorded results if the general set does not produce suitable
          probabilities to compare against.
  
      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`.
      """
      from sktime.utils.validation._dependencies import (
          _check_soft_dependencies,
      )
  
      params1 = {}
  
      if not _check_soft_dependencies("numba", severity="none"):
          symrep = ["sax"]
      else:
          symrep = ["sax", "sfa"]
  
      params2 = {
          "seql_mode": "fs",
          "symrep": symrep,
      }
  
      return [params1, params2]
  
imports: from sktime.classification._delegate import _DelegatedClassifier
label_desc: Use image node_id 3 for calling the MrSEQL obj's underlying member method code with example usage: obj.get_test_params(cls, parameter_set) and returns: list