code: def objective(x, noise_level=noise_level):
      return (
          np.sin(5 * x[0]) * (1 - np.tanh(x[0] ** 2))
          + np.random.randn() * noise_level
      )
  
file_path: scikit-optimize/examples/ask-and-tell.py
imports: import numpy
  import matplotlib.pyplot
  from skopt.plots import plot_gaussian_process
  from skopt.learning import ExtraTreesRegressor
  from skopt import Optimizer
  import pickle
label_desc: Use image node_id 1 for calling a global function with example usage: objective(x, noise_level) and returns: unknown