code: def __init__(self, features: Tensor, rewards: Tensor):
      self._features = features
      self._rewards = rewards
  
imports: import argparse
  import json
  import logging
  import os
  import random
  import sys
  from dataclasses import dataclass
  from pathlib import PurePath
  from typing import Iterable, Tuple
  import numpy
  import pandas
  import torch
  from reagent.ope.estimators.contextual_bandits_estimators import Action, ActionDistribution, ActionRewards, BanditsEstimatorInput, BanditsModel, DMEstimator, DoublyRobustEstimator, IPSEstimator, LogSample
  from reagent.ope.estimators.estimator import Estimator, Evaluator
  from reagent.ope.estimators.types import ActionSpace, Policy, Trainer, TrainingData
  from reagent.ope.trainers.linear_trainers import DecisionTreeTrainer, LogisticRegressionTrainer, SGDClassifierTrainer
  from torch import Tensor
label_desc: Use image node_id 1 to create a new MultiClassModel object from inherited base classes: BanditsModel with example: obj = MultiClassModel(features, rewards)