code: def __getitem__(self, item):
      return self.x[item], self.y[item]
  
file_path: baal/experiments/mlp_regression_mcdropout.py
imports: from copy import deepcopy
  from pprint import pprint
  import pandas
  import numpy
  import torch.cuda
  from torch import nn, optim
  from torch.utils.data import Dataset
  from sklearn.preprocessing import StandardScaler
  from sklearn.model_selection import train_test_split
  from baal import ActiveLearningDataset, ModelWrapper
  from baal.active import ActiveLearningLoop
  from baal.active.heuristics import Variance
  from baal.bayesian.dropout import patch_module
label_desc: Use image node_id 3 for calling the FeatureDataset obj's underlying member method code with example usage: obj.__getitem__(item) and returns: self,  self