code: def _parallel_fit(regressor, X, y):
      return regressor.fit(X, y)
  
file_path: guildai/guild/_skopt/learning/gbrt.py
imports: import numpy
  from sklearn.base import clone
  from sklearn.base import BaseEstimator, RegressorMixin
  from sklearn.ensemble import GradientBoostingRegressor
  from sklearn.utils import check_random_state
  from joblib import Parallel, delayed
label_desc: Use image node_id 1 for calling a global function with example usage: _parallel_fit(regressor, X, y) and returns: regressor