code: def __init__(self, is_classifier: bool = False) -> None:
      super().__init__()
      self._is_classifier = is_classifier
  
imports: import logging
  import math
  import time
  from typing import Optional
  import numpy
  import torch
  from reagent.ope.estimators.types import PredictResults, Trainer, TrainingData
  from sklearn.linear_model import Lasso, LogisticRegression, SGDClassifier
  from sklearn.metrics import accuracy_score, mean_squared_error
  from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor
  from torch import Tensor
label_desc: Use image node_id 1 to create a new LinearTrainer object from inherited base classes: Trainer with example: obj = LinearTrainer(is_classifier)