code: def add_noise(series, noise_level):
      return series * (1 + noise_level * np.random.randn(len(series)))
  
file_path: hyperparameter_hunter/examples/feature_engineering_examples/olivier_porto_seguro_kaggle.py
imports: from hyperparameter_hunter import Environment, CVExperiment, FeatureEngineer, EngineerStep
  import numpy
  import pandas
  from sklearn.model_selection import StratifiedKFold
  from sklearn.preprocessing import LabelEncoder
  from xgboost import XGBClassifier
label_desc: Use image node_id 4 for calling a global function with example usage: add_noise(series, noise_level) and returns: unknown