code: def get_base_params(self):
      return self.base_estimators[0].get_params()
  
imports: import numbers
  from joblib import Parallel, delayed
  import numpy
  from scipy.stats import kendalltau, rankdata, spearmanr
  from sklearn.base import BaseEstimator, clone
  from sklearn.model_selection import check_cv
  from sklearn.utils._param_validation import Interval, StrOptions
  from .base import _fit_and_score
  from .stacking import Stacking
label_desc: Use image node_id 2 for calling the EnsembleAverage obj's underlying member method code with example usage: obj.get_base_params() and returns: self