Fix formatting errors

pytorch_forecasting/data.py

@@ -1193,21 +1193,20 @@ def to_dataloader(self, train: bool = True, batch_size: int = 64, **kwargs) -> D
                 Will shuffle and drop last batch if True. Defaults to True.
             batch_size (int): batch size for training model. Defaults to 64.
             **kwargs: additional arguments to ``DataLoader()``
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+
         Examples:
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             To samples for training:
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             .. code-block:: python
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                 from torch.utils.data import WeightedRandomSampler
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                 # length of probabilties for sampler have to be equal to the length of the index
                 probabilities = np.sqrt(1 + data.loc[dataset.index, "target"])
                 sampler = WeightedRandomSampler(probabilities, len(probabilities))
                 dataset.to_dataloader(train=True, sampler=sampler, shuffle=False)
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         Returns:
             DataLoader: dataloader that returns Tuple.

tests/test_models/test_temporal_fusion_transformer.py

@@ -60,4 +60,3 @@ def test_integration(dataloaders_with_coveratiates, tmp_path):
         net.predict(val_dataloader, fast_dev_run=True, return_index=True, return_decoder_lengths=True)
     finally:
         shutil.rmtree(tmp_path, ignore_errors=True)
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