code: def parse_args():
      parser = argparse.ArgumentParser(
          description="Statsmodels example"
      )
      parser.add_argument(
          "--inverse-method",
          type=str,
          default="pinv",
          help="Can be 'pinv', or 'qr'. 'pinv' uses the Moore-Penrose pseudoinverse "
          "to solve the least squares problem. 'qr' uses the QR factorization. "
          "(default: 'pinv')",
      )
      return parser.parse_args()
  
imports: import argparse
  import numpy
  import statsmodels.api
  from sklearn.metrics import mean_squared_error
  import mlflow
  import mlflow.statsmodels
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: parser