code: def predict(self, dataset, segment="test"):
      if not self.fitted:
          raise ValueError("model is not fitted yet!")
  
      test_set = dataset.prepare(segment)
  
      metrics, preds = self.test_epoch(test_set, return_pred=True)
      self.logger.info("test metrics: %s" % metrics)
  
      return preds
  
imports: import os
  import copy
  import math
  import json
  import collections
  import numpy
  import pandas
  import torch
  import torch.nn
  import torch.optim
  import torch.nn.functional
  from tqdm import tqdm
  from qlib.utils import get_or_create_path
  from qlib.log import get_module_logger
  from qlib.model.base import Model
label_desc: Use image node_id 5 for calling the TRAModel obj's underlying member method code with example usage: obj.predict(dataset, segment) and returns: preds