class_docstr: This dataset consists of 10 baseline variables, age, sex, body mass index, average
  blood pressure, and six blood serum measurements were obtained for each of n = 442
  diabetes patients, as well as the response of interest, a quantitative measure of disease
  progression one year after baseline.
  
  References:
      .. [#1] Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani, "Least Angle Regression,"
      .. [#2] https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html
code: def __init__(
      self,
      url: str = None,
  ):
      self.data_folder = os.path.realpath(
          os.path.join(
              os.path.dirname(os.path.realpath(__file__)),
              "../data",
              "diabetes_data",
          )
      )
      self.data_file = os.path.realpath(
          os.path.join(self.data_folder, "diabetes.csv")
      )
      diabetes_url = (
          url
          if url is not None
          else "https://www4.stat.ncsu.edu/~boos/var.select/diabetes.tab.txt"
      )
  
      if not os.path.exists(self.data_file):
          response = requests.get(diabetes_url)
          data = pd.read_csv(StringIO(response.text), sep="\t")
          data.to_csv(self.data_file, index=False)
  
file_path: AIX360/aix360/datasets/diabetes_dataset.py
imports: import os
  import math
  from io import StringIO
  import requests
  import pandas
  from sklearn.model_selection import train_test_split
label_desc: Use image node_id 1 to create a new DiabetesDataset object  with example: obj = DiabetesDataset(url)