code: def predict_dataloader(self):
      loader = TimeSeriesLoader(
          self.dataset,
          batch_size=self.valid_batch_size,
          num_workers=self.num_workers,
          shuffle=False,
      )
      return loader
  
imports: import warnings
  from collections.abc import Mapping
  import numpy
  import pandas
  import pytorch_lightning
  import torch
  import utilsforecast.processing
  from torch.utils.data import Dataset, DataLoader
  from utilsforecast.compat import DataFrame, pl_Series
label_desc: Use image node_id 4 for calling the TimeSeriesDataModule obj's underlying member method code with example usage: obj.predict_dataloader() and returns: loader