code: def restore(self, model):
      self.w = deserialize_param(model["param"], model["fit_intercept"])
      self.end_epoch = model["end_epoch"]
      self.is_converged = model["is_converged"]
      self.header = model["header"]
      self.init_param["fit_intercept"] = model["fit_intercept"]
      self.lr = model["lr"]
  
imports: import logging
  import torch
  from fate.arch import Context, dataframe
  from fate.arch.dataframe import DataFrame
  from fate.arch.protocol.mpc.nn.sshe.linr_layer import SSHELinearRegressionLayer, SSHELinearRegressionLossLayer, SSHEOptimizerSGD
  from fate.ml.abc.module import Module, HeteroModule
  from fate.ml.utils import predict_tools
  from fate.ml.utils._convergence import converge_func_factory
  from fate.ml.utils._model_param import get_initialize_func
  from fate.ml.utils._model_param import serialize_param, deserialize_param
label_desc: Use image node_id 5 for calling the SSHELREstimator obj's underlying member method code with example usage: obj.restore(model) without return types