Backporting fixes: - Fix: DistributionLoss not encodable (2092 by jaheba)
0.9.5
* Re-add support for Python 3.6 in v0.9.x. (2032 by jaheba)
Backporting fixes:
* Fix: use of `num_parallel_samples` in deepAR (1968 by kashif) * Fix: torch DeepAR observed indicator in multivariate case (1969 by kashif) * Fix `OffsetSplitter` for negative offsets (1986 by lostella) * Fix mean in `AffineTransformedDistribution` (2015 by stailx)
0.9.4
Backporting fixes: * Fix: Hard threshold positive distribution parameters (1950 by lostella) * Fix forecast keys (quantiles) output by TemporalFusionTransformer (1952 by lostella)
0.9.3
Backporting fixes: * Fix: use broadcast_lesser in place of comparisons in ISQF (1920 by vincentqb) * Fix dummy estimator (1931 by canerturkmen) * Fix Pytorch Lightning tutorial (1933 by jaheba) * Fixed autograd inplace operations error in Transformed Distribution (1938 by shubhamkapoor)
0.9.2
Backporting fixes: * Fix AddTimeFeatures transformation for multiples of base frequencies (https://github.com/awslabs/gluon-ts/pull/1916) * Update docs requirements (https://github.com/awslabs/gluon-ts/pull/1919)
0.9.1
Backporting fixes: * Added QuarterlyBegin time feature (1903) * Fix the use of the scaling parameter in Transformer model (1909)