class_docstr: Custom early time series classifier. todo: write docstring.
  
  todo: describe your custom early time series classifier here
  
  Hyper-parameters
  ----------------
  parama : int
      descriptive explanation of parama
  paramb : string, optional (default='default')
      descriptive explanation of paramb
  paramc : boolean, optional (default= whether paramb is not the default)
      descriptive explanation of paramc
  and so on
  
  Components
  ----------
  est : sktime.estimator, BaseEstimator descendant
      descriptive explanation of est
  est2: another estimator
      descriptive explanation of est2
  and so on
class_docstr_tok: ["Custom","early","time","series","classifier",".","todo",":","write","docstring",".","todo",":","describe","your","custom","early","time","series","classifier","here","Hyper-parameters","--","--","--","--","--","--","--","--","parama",":","int","descriptive","explanation","of","parama","paramb",":","string",",","optional","(","default='default","'",")","descriptive","explanation","of","paramb","paramc",":","boolean",",","optional","(","default=","whether","paramb","is","not","the","default",")","descriptive","explanation","of","paramc","and","so","on","Components","--","--","--","--","--","est",":","sktime.estimator",",","BaseEstimator","descendant","descriptive","explanation","of","est","est2",":","another","estimator","descriptive","explanation","of","est2","and","so","on"]
docstr: Get fitted parameters.
  
  private _get_fitted_params, called from get_fitted_params
  
  State required:
      Requires state to be "fitted".
  
  Returns
  -------
  fitted_params : dict with str keys
      fitted parameters, keyed by names of fitted parameter
docstr_tok: ["Get","fitted","parameters",".","private","_get_fitted_params",",","called","from","get_fitted_params","State","required",":","Requires","state","to","be","``","fitted","''",".","Returns","--","--","--","-","fitted_params",":","dict","with","str","keys","fitted","parameters",",","keyed","by","names","of","fitted","parameter"]
code: def _get_fitted_params(self):
      """Get fitted parameters.
  
      private _get_fitted_params, called from get_fitted_params
  
      State required:
          Requires state to be "fitted".
  
      Returns
      -------
      fitted_params : dict with str keys
          fitted parameters, keyed by names of fitted parameter
      """
  
file_path: sktime/extension_templates/early_classification.py
imports: from typing import Tuple
  import numpy
  from sktime.classification.early_classification import BaseEarlyClassifier
label_desc: Use image node_id 8 for calling the MyEarlyTimeSeriesClassifier obj's underlying member method code with example usage: obj._get_fitted_params() without return types