code: def regression_metrics(y_true, y_pred):
      metrics = {
          "MeanAbsError": sklm.mean_absolute_error,
          "MeanSquaredError": sklm.mean_squared_error,
          "MedianAbsError": sklm.median_absolute_error,
      }
      return evaluate_metrics(y_true, y_pred, metrics)
  
file_path: hummingbird/benchmarks/trees/metrics.py
imports: import numpy
  import sklearn.metrics
  from benchmarks.datasets import LearningTask
label_desc: Use image node_id 5 for calling a global function with example usage: regression_metrics(y_true, y_pred) and returns: evaluate_metrics