code: def parse_args():
      parser = argparse.ArgumentParser(description="Fastai example")
      parser.add_argument(
          "--lr",
          type=float,
          default=0.01,
          help="learning rate to update step size at each step (default: 0.01)",
      )
      parser.add_argument(
          "--epochs",
          type=int,
          default=5,
          help="number of epochs (default: 5). Note it takes about 1 min per epoch",
      )
      return parser.parse_args()
  
file_path: mlflow/examples/fastai/train.py
imports: import argparse
  import numpy
  from fastai.learner import Learner
  from fastai.tabular.all import TabularDataLoaders
  from sklearn.datasets import load_iris
  from torch import nn
  import mlflow
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: parser