code: def white_noise(time, noise_level=1, seed=None):
      rnd = np.random.RandomState(seed)
      return rnd.randn(len(time)) * noise_level
  
file_path: analytics-zoo/docs/docs/ClusterServingGuide/OtherFrameworkUsers/l08c08_forecasting_with_lstm.py
imports: import numpy
  import tensorflow
  import tensorflow.keras
label_desc: Use image node_id 4 for calling a global function with example usage: white_noise(time, noise_level, seed) and returns: unknown