code: def predict(self, X):
      prediction = np.zeros(X.shape[0])
      for est in self.base_estimators:
          prediction += est.predict(X)
  
      return prediction / len(self.base_estimators)
  
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 4 for calling the EnsembleAverage obj's underlying member method code with example usage: obj.predict(X) and returns: unknown