code: def _fit(self, X, y, cv, **fit_params):
      raise NotImplementedError()
  
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 10 for calling the BaseEnsembleSelection obj's underlying member method code with example usage: obj._fit(X, y, cv) without return types