class_docstr: Represents datasets we use for expriments
code: def __init__(self):
      data_dir = PATH_PREFIX + "/data"
      cache_dir = PATH_PREFIX + "/cache_datasets"
      if not os.path.exists(data_dir):
          os.mkdir(data_dir)
      if not os.path.exists(cache_dir):
          os.mkdir(cache_dir)
  
imports: import os
  import ssl
  import tarfile
  import urllib.request
  from my_logistic_regression import MyLogisticRegression
  import numpy
  import requests
  from sklearn import preprocessing
  import sklearn.datasets
  from sklearn.linear_model import LogisticRegression
  import torch
  from torchvision import datasets, transforms
label_desc: Use image node_id 1 to create a new Mydatasets object  with example: obj = Mydatasets()