code: def predict_dataloader(self):
      return DataLoader(
          SklearnDataset(
              self.x_test, self.y_test, self._x_type, self._y_type
          ),
          batch_size=self.batch_size,
      )
  
imports: import torch
  from lightning.pytorch.core.datamodule import LightningDataModule
  from lightning_utilities.core.imports import RequirementCache
  from torch.utils.data import DataLoader
  from tests_pytorch.helpers.datasets import MNIST, SklearnDataset, TrialMNIST
label_desc: Use image node_id 6 for calling the SklearnDataModule obj's underlying member method code with example usage: obj.predict_dataloader() and returns: DataLoader