code: def __init__(
      self,
      src_module: AttentionEstimator,
      tgt_module: AttentionEstimator,
      balance_loss: bool = True,
      forecast_target: bool = True,
  ) -> None:
      super(DomAdaptEstimator, self).__init__()
      self.src = src_module
      self.tgt = tgt_module
      self.balance_loss = balance_loss
      self.forecast_target = forecast_target
  
file_path: gluonts/src/gluonts/nursery/daf/estimator/domains.py
imports: from typing import Optional, List, Tuple, Union, Iterator
  from collections import defaultdict
  import warnings
  import math
  import torch
  from torch import Tensor, LongTensor, BoolTensor
  from torch import nn
  from torch.nn import Parameter, functional
  from .modules import AttentionEstimator, AdversarialEstimator
  from ..network import AttentionKernel, AttentionBlock, AdversarialBlock
label_desc: Use image node_id 1 to create a new DomAdaptEstimator object from inherited base classes: nn with example: obj = DomAdaptEstimator(src_module, tgt_module, balance_loss, forecast_target)