class_docstr: Base time series forest classifier.
class_docstr_tok: ["Base","time","series","forest","classifier","."]
code: def _get_fitted_params(self):
      return {
          "classes": self.classes_,
          "intervals": self.intervals_,
          "estimators": self.estimators_,
      }
  
file_path: sktime/sktime/series_as_features/base/estimators/interval_based/_tsf.py
imports: import math
  from typing import Optional
  import numpy
  from joblib import Parallel, delayed
  from numpy.random import RandomState
  from sklearn.utils.multiclass import class_distribution
  from sklearn.utils.validation import check_random_state
  from sktime.base._base import _clone_estimator
  from sktime.utils.slope_and_trend import _slope
  from sktime.utils.validation import check_n_jobs
label_desc: Use image node_id 4 for calling the BaseTimeSeriesForest obj's underlying member method code with example usage: obj._get_fitted_params() and returns: dict