code: def print_rmse(y: np.array, y_hat: np.array):
      """
      Calculating Root Mean Square Error https://en.wikipedia.org/wiki/Root-mean-square_deviation
      """
      mse = np.mean((y - y_hat) ** 2)
      return np.sqrt(mse)
  
file_path: Auto_TS/auto_ts/utils/metrics.py
imports: from typing import Tuple
  import numpy
  import pandas
  import matplotlib.pyplot
  from sklearn.metrics import mean_absolute_error, mean_squared_error
  import pdb
label_desc: Use image node_id 4 for calling a global function with example usage: print_rmse(y, y_hat) and returns: np