v0.1.3

In this release, we mainly

1. added new models US-GAN and GP-VAE for the imputation task on POTS data;
2. appended util functions save_dict_into_h5() to help users directly save a dataset from a Python Dictionary into an HDF5 file that can be used by models in PyPOTS with lazy-loading strategy to save RAM and CUDA memory;
3. added internal clustering validation measures to help evaluate clustering models;
4. enabled PyPOTS clustering models to return their latent representation for advanced analysis, e.g. internal clustering validation;
5. added learning-rate schedulers for optimizers;

👍 Kudos to our new contributors, @AugustJW and @vemuribv! The above points 1 and 3 are implemented by them that enrich this release and make it happen here.

😎 More awesome features are on the road. Stay tuned or join us to make them happen!

What's Changed

• Adding the package to store frequently-used modules; by @WenjieDu in #170
• feat: add Transformer encoder, decoder, and decoder_layer; by @WenjieDu in #172
• Adding the package pypots/modules, and appending modules of vanilla Transformer by @WenjieDu in #173
• Add internal clustering validation measures to pypots.utils.metrics by @vemuribv in #179
• Add save_dict_into_h5() and sliding_window(), add .gitignore, and update the docs by @WenjieDu in #180
• Merge dev into pr/176 by @WenjieDu in #181
• Fixing failed doc build by @WenjieDu in #186
• Fixing the failed workflow Autoreply to Issues Opened for PyPOTS and update the PR template by @WenjieDu in #184
• Merge dev into main by @WenjieDu in #188
• add models GP-VAE/USGAN by @AugustJW in #176
• Refactor testing cases by @WenjieDu in #189
• Add models US-GAN and GP-VAE, update docs, refactor testing cases, add cal_internal_cluster_validation_metrics() by @WenjieDu in #190
• Extract latent from clustering models by @WenjieDu in #192
• Add internal and external cluster validation funcs, and enable CRLI and VaDER to return latent for advanced analysis by @WenjieDu in #193
• Add learning-rate schedulers by @WenjieDu in #195
• Add learning-rate schedulers for optimizers, and by @WenjieDu in #196
• Releasing v0.1.3; by @WenjieDu in #197

New Contributors

• @vemuribv made their first contribution in #179
• @AugustJW made their first contribution in #176

Full Changelog: v0.1.2...v0.1.3