code: def standardize(data):
      """Standardize to be Gaussian N(0,1). Clip final values."""
      data = (data - np.mean(data, axis=0)) / (
          np.std(data, axis=0) + 1e-8
      )
      return np.clip(data, -2, 2)
  
file_path: orion/src/orion/algo/pbt/pb2_utils.py
imports: from copy import deepcopy
  import numpy
  from scipy.optimize import minimize
  from sklearn.metrics import euclidean_distances, pairwise_distances
  from orion.core.utils.module_import import ImportOptional
label_desc: Use image node_id 2 for calling a global function with example usage: standardize(data) and returns: np