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)
0.13.6
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