v0.5 🔥 New Models & Features

Here is the summary of this new version's changelog:

1. the modules of iTransformer, FiLM, and FreTS are included in PyPOTS. The three have been implemented as imputation models in this version;
2. CSDI is implemented as a forecasting model;
3. MultiHeadAttention is enabled to manipulate all attention operators in PyPOTS;

What's Changed

• Fix failed doc building, fix a bug in gene_random_walk(), and refactor unit testing configs by @WenjieDu in #355
• Implement CSDI as a forecasting model by @WenjieDu in #354
• Update the templates by @WenjieDu in #356
• Implement forecasting CSDI and update the templates by @WenjieDu in #357
• Update README by @WenjieDu in #359
• Update docs by @WenjieDu in #362
• Implement FiLM as an imputation model by @WenjieDu in #369
• Implement FreTS as an imputation model by @WenjieDu in #370
• Implement iTransformer as an imputation model by @WenjieDu in #371
• Add iTransformer, FreTS, FiLM by @WenjieDu in #372
• Fix failed CI testing on macOS with Python 3.7 by @WenjieDu in #373
• Add SaitsEmbedding, fix failed CI on macOS with Python3.7, and update docs by @WenjieDu in #374
• Fix error in gene_random_walk by @WenjieDu in #375
• Try to import torch_geometric only when init Raindrop by @WenjieDu in #381
• Enable all attention operators to work with MultiHeadAttention by @WenjieDu in #383
• Fix a bug in gene_random_walk, import pyg only when initing Raindrop, and make MultiHeadAttention work with all attention operators by @WenjieDu in #384
• Refactor code and update docstring by @WenjieDu in #385
• 添加中文版README文件 by @Justin0388 in #386
• Refactor code and update docs by @WenjieDu in #387

New Contributors

• @Justin0388 made their first contribution in #386

We also would like to thank Sijia @phoebeysj, Haitao @CowboyH, and Dewang @aizaizai1989 for their help in polishing Chinese README.

Full Changelog: v0.4.1...v0.5