code: def __init__(
      self,
      epochs,
      early_stop,
      tol,
      batch_size,
      optimizer_param,
      learning_rate_param,
  ):
      self.epochs = epochs
      self.batch_size = batch_size
      self.early_stop = early_stop
      self.tol = tol
      self.learning_rate_param = learning_rate_param
      self.optimizer_param = optimizer_param
  
      self.estimator = None
  
imports: import logging
  import torch
  from fate.arch import Context
  from fate.arch.dataframe import DataLoader
  from fate.ml.abc.module import HeteroModule
  from fate.ml.utils._convergence import converge_func_factory
  from fate.ml.utils._optimizer import LRScheduler, Optimizer, separate
label_desc: Use image node_id 1 to create a new CoordinatedLinRModuleArbiter object from inherited base classes: HeteroModule with example: obj = CoordinatedLinRModuleArbiter(epochs, early_stop, tol, batch_size, optimizer_param, learning_rate_param)