Comments (2)
@robertdj what version of gluonts and pytorch lightning do you have installed?
from gluonts.
Yikes, it turns out that I was using an outdated version of gluonts (0.13.5). After updating to 0.14.0 the problem vanished.
Thanks for your quick reply and my apologies for this noob question.
from gluonts.
Related Issues (20)
- The simple example runs to completion, but does not output a plot HOT 1
- `TypeError: list indices must be integers or slices, not tuple` when using `DummyValueImputation` HOT 1
- AssertionError when reproduction of Dlinear model HOT 18
- best way for non-periodicity data? HOT 5
- Dependency clashes (in kaggle) HOT 1
- Convert ListDataset to Multivariate dataset with gluonts.dataset.multivariate_grouper HOT 2
- Only a single validation batch is used if `estimator.train` called with `cache_data=True` HOT 3
- GluonTSDataError: Input for field "target" does not have the requireddimension (field: target, ndim observed: 2, expected ndim: 1) HOT 5
- Which datasets provided in the library are multivariate? HOT 1
- GPVAREstimator - AssertionError: HOT 3
- Numerical overflow in StdScaler HOT 1
- Training is extremely slow on Gluonts [Torch] HOT 1
- Unify QuantileOutput and DistributionOutput
- Unify the design of seq2seq PyTorch models
- Add support for all covariate types to all PyTorch models
- Change of behaviour from lightning logger HOT 2
- BUG No module named 'gluonts.torch.model.i_transformer' HOT 1
- The annotation of the parameter device of PyTorchPredictor is incomplete HOT 2
- Dataframe index is not uniformly spaced. If your dataframe contains data from multiple series in the same column ("long" format), consider constructing the dataset with `PandasDataset.from_long_dataframe` instead. HOT 1
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from gluonts.