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v0.1.4
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@WenjieDu WenjieDu released this 11 Oct 15:47
· 569 commits to main since this release
v0.1.4
1eac993

In this new version, we made the following changes:

  1. added the imputation model CSDI;
  2. added the unified method predict() for all models to run inference on the given test set;
  3. enabled clustering algorithms to select the best model on the validation set;
  4. fixed the bug that GP-VAE failed to run on CUDA devices;
  5. made SAITS to use customized loss function specified by users;

What's Changed

  • Add the method predict() for all models by @WenjieDu in #199
  • Refactor algorithms' module structure, enable customized loss function in SAITS, enable GP-VAE to run on CUDA, etc. by @WenjieDu in #201
  • Merge dev into main by @WenjieDu in #202
  • Make clustering algorithms to select the best model according to the loss on a given validation set by @WenjieDu in #204
  • Fixing failed CI testing due to dependency installation error by @WenjieDu in #206
  • Adding the model CSDI by @WenjieDu in #208
  • Refactoring, and updating the docs by @WenjieDu in #209
  • Adding CSDI, updating the docs by @WenjieDu in #210

Full Changelog: v0.1.3...v0.1.4

Contributors

WenjieDu
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