0.14.0

See full diff here: v0.13.0...v0.14.0

Breaking changes

• Simplify plotting of forecasts. #2864
• Breaking: change num_output with quantiles in TFT (mxnet) #2879
• DeepVARHierarchicalEstimator: Remove target_dim parameter. #2889
• Rework maybe.Maybe to use a boxed container. #2900
• Rework ev. #2914
• gluonts.ev: Rework exports. #2928
• Remove freq argument in SeasonalNaivePredictor #2932
• Remove freq argument from naive2 #2935
• Simplify PyTorchPredictor serde #2965
• Move QuantizeScaled from Wavenet to gluonts.transform, rename to QuantizeMeanScaled #2975
• Change torch state_dict file name to prediction-net-state.pt #2985
• Remove freq attribute from NPTS #3009

0.14.0 rc2

Backports for v0.14.0rc2 (#3032)

* Fix WaveNet inputs (#3022)

* Fix version range for lightning (#3023)

* Allow VCS install using GLUONTS_FALLBACK_VERSION (#3028)

* Make `mypy` checks opt-out instead of opt-in, fix several type issues (#3027)

Co-authored-by: Oleksandr Shchur <[email protected]>

* No API docs for nursery. (#3030)

* Fix: #3030. (#3031)

* Add support for Pydantic v1 and v2. (#3026)

---------

Co-authored-by: Oleksandr Shchur <[email protected]>
Co-authored-by: ddelange <[email protected]>
Co-authored-by: Jasper <[email protected]>

0.13.7

Fixing issues with updated requirements, which would prevent the package from installing alongside old versions of PyTorch Lightning:

• Fix lightning import (#3018 by @shchur)
• Update requirements-pytorch.txt (#3019 by @shchur)

0.14.0 rc1

v0.14.0rc1

initial commit for v0.14.x

0.13.6

Backporting fixes:

• [torch] Return a model even if callback has no best model path #2952 by @kashif
• Move from pytorch_lightning to lightning #3013 by @shchur

0.13.5

Backporting fixes:

• Raise warning in QuantileForecast.mean when mean is not there #2843 by @lostella
• [R] Bug fix for running R methods via ParallelizedPredictor #2983 by @rshyamsundar
• Fix Forecast plot method #3006 by @lostella

0.13.4

Backporting fixes:

• Turn type comparison into isinstance #2958 by @lostella
• Fix Cython version in XGBoost tests #2966 by @lostella
• Clean up RepresentablePredictor #2967 by @lostella
• Fix: use isinstance instead of type comparison #2973 by @melopeo
• Fix ArrowDecoder.decode to return instead of yield #2976 by @lostella
• Unpin pyarrow version #2977 by @lostella

0.13.3

Backporting fixes:

• Zebras: Fix index handling of SplitFrame.resize. #2938 by @jaheba
• Docs: fix missing values use-case in tutorial for PandasDataset #2941 by @cneely33
• Ignore F403 errors in preludes. #2948 by @jaheba
• Fix: prevent accumulation of SelectFields in PyTorchPredictor #2951 by @Cameronwood611
• [Docs] fix link to NPTS implementation #2953 by @lostella

0.13.2

Backporting fixes:

• Fix NaNs in seasonal error #2894 by @gorold
• Filter unused fields during inference #2905 by @abdulfatir
• Define repr instead of str for PandasDataset #2906 by @lostella
• Fix typo in background.md #2907 by @tnixon
• Fix another typo in background.md #2908 by @tnixon

0.13.1

Backporting fixes:

• Speedup is_uniform for PandasDataset. #2878 by @jaheba
• Fix docstrings in torch lightning modules #2880 by @lostella
• Fix default scale in torch DeepAR #2885 by @lostella