code: def predict(self, ctx, test_data):
      X = test_data.values.as_tensor()
      output = torch.matmul(X, self.w)
      ctx.guest.put("h_pred", output)
  
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._model_param import deserialize_param, initialize_param, serialize_param
  from fate.ml.utils._optimizer import LRScheduler, Optimizer
label_desc: Use image node_id 5 for calling the CoordinatedLinREstimatorHost obj's underlying member method code with example usage: obj.predict(ctx, test_data) without return types