code: def logistic_sigmoid(x):
      return 1.0 / (1.0 + np.exp(-x))
  
imports: import pickle
  from functools import lru_cache
  from inspect import getfullargspec
  import cloudpickle
  import joblib
  import numpy
  import sklearn.datasets
  from sklearn.utils import check_random_state
  import lightgbm
label_desc: Use image node_id 10 for calling a global function with example usage: logistic_sigmoid(x) and returns: unknown