code: def fit(
      self, X, y=None, **kwargs
  ):  # pragma: no cover; # pylint: disable=unused-argument
      return self
  
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 3 for calling the EnsembleAverage obj's underlying member method code with example usage: obj.fit(X, y) and returns: self