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v0.4.1 🚧 Refactor&Modularization
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@WenjieDu WenjieDu released this 17 Apr 16:04
· 300 commits to main since this release
v0.4.1
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In this refactoring version, we

  1. applied SAITS loss function to the newly added imputation models (Crossformer, PatchTST, DLinear, ETSformer, FEDformer, Informer, and Autoformer) in v0.4, and add the arguments MIT_weight and ORT_weight in them for users to balance the multi-task learning;
  2. modularized all neural network models and put their modules in the package pypots.nn.modules;
  3. removed deprecated metric funcs (e.g. pypots.utils.metrics.cal_mae that has been replaced by pypots.utils.metrics.calc_mae);

What's Changed

  • Apply SAITS loss to newly added models and update the docs by @WenjieDu in #346
  • Modularize neural network models by @WenjieDu in #348
  • Modularize NN models, remove deprecated metric funcs, and update docs by @WenjieDu in #349
  • Remove pypots.imputation.locf.modules and add assertions for BTTF by @WenjieDu in #350
  • Test building package during CI by @WenjieDu in #353
  • Avoid the import error MessagePassing not defined by @WenjieDu in #351

Full Changelog: v0.4...v0.4.1

Contributors

WenjieDu
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