code: def _predict(estimator, X, idx):
      return idx, estimator.predict(X)
  
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 a global function with example usage: _predict(estimator, X, idx) and returns: idx,  estimator