code: def regressor_scores(prediction, gt):
      """
      Desc:
          Some common metrics for regression problems
      Args:
          prediction:
          gt: ground truth vector
      Returns:
          A tuple of metrics
      """
      _mae = mae(prediction, gt)
      _rmse = rmse(prediction, gt)
      return _mae, _rmse
  
file_path: PGL/examples/kddcup2022/wpf_baseline/metrics.py
imports: import pandas
  import time
  import numpy
label_desc: Use image node_id 9 for calling a global function with example usage: regressor_scores(prediction, gt) and returns: _mae,  _rmse