PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series

Previously we removed pypots.data.load_specific_datasets packages since the preprocessing functions have been all gathered and managed in BenchPOTS. The removal caused some incompatibility (see #474), hence we added it back in this minor version. But it still will be deprecated in the near future and we encourage users to use BenchPOTS for dataset preprocessing, which now supports 170+ public time series datasets. Also, we

1. added a visualization function to plot the map of attention weights. 👍Kudos to @gugababa for his contribution;
2. deprecated setup.py and added pyproject.toml to config the project;

What's Changed

• Visualize attention matrix in SAITS by @gugababa in https://github.com/WenjieDu/PyPOTS/pull/302
• Add attention map visualization func by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/475
• Gather requirements in one dir by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/477
• Add toml config and gather dependency files by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/478
• Add pyproject.toml, gather dependency files, and fix flake8 with toml config file by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/480
• Fix missing load_specific_dataset(), update testing_daily workflow, release v0.7.1 by @WenjieDu in https://github.com/WenjieDu/PyPOTS/pull/481

New Contributors

• @gugababa made their first contribution in https://github.com/WenjieDu/PyPOTS/pull/302

Full Changelog: https://github.com/WenjieDu/PyPOTS/compare/v0.7...v0.7.1