code: def predict(self, ctx: Context, test_data: DataFrame) -> DataFrame:
      prob = self.estimator.predict(ctx, test_data)
      return prob
  
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 7 for calling the SSHELinearRegression obj's underlying member method code with example usage: obj.predict(ctx, test_data) and returns: prob