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@jdb78 jdb78 released this 23 May 11:53
· 531 commits to master since this release
v0.10.2
9d8e985
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Learn about vigilant mode.

Added

  • DeepVar network (#923)
  • Enable quantile loss for N-HiTS (#926)
  • MQF2 loss (multivariate quantile loss) (#949)
  • Non-causal attention for TFT (#949)
  • Tweedie loss (#949)
  • ImplicitQuantileNetworkDistributionLoss (#995)

Fixed

  • Fix learning scale schedule (#912)
  • Fix TFT list/tuple issue at interpretation (#924)
  • Allowed encoder length down to zero for EncoderNormalizer if transformation is not needed (#949)
  • Fix Aggregation and CompositeMetric resets (#949)

Changed

  • Dropping Python 3.6 suppport, adding 3.10 support (#479)
  • Refactored dataloader sampling - moved samplers to pytorch_forecasting.data.samplers module (#479)
  • Changed transformation format for Encoders to dict from tuple (#949)

Contributors

  • jdb78
Assets 2
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