torchTS
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Rose-STL-Lab
Time series forecasting with PyTorch
Bumps [pytest](https://github.com/pytest-dev/pytest) from 7.0.1 to 7.1.2. Release notes Sourced from pytest's releases. 7.1.2 pytest 7.1.2 (2022-04-23) Bug Fixes #9726: An unnecessary numpy import inside pytest.approx{.interpreted-text role="func"} was removed. #9820: Fix...
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Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 2.1.0 to 3.0.0. Release notes Sourced from actions/download-artifact's releases. v3.0.0 What's Changed Update default runtime to node16 (actions/download-artifact#134) Update package-lock.json file version to 2 (actions/download-artifact#136) Breaking Changes...
Bumps [github/codeql-action](https://github.com/github/codeql-action) from 1 to 2. Changelog Sourced from github/codeql-action's changelog. 2.1.9 - 27 Apr 2022 Add working-directory input to the autobuild action. #1024 The analyze and upload-sarif actions will...
Bumps [actions/checkout](https://github.com/actions/checkout) from 2.4.0 to 3.0.2. Release notes Sourced from actions/checkout's releases. v3.0.2 What's Changed Add set-safe-directory input to allow customers to take control. by @TingluoHuang in actions/checkout#770 Prepare changelog...
Bumps [async](https://github.com/caolan/async) from 2.6.3 to 2.6.4. Changelog Sourced from async's changelog. v2.6.4 Fix potential prototype pollution exploit (#1828) Commits c6bdaca Version 2.6.4 8870da9 Update built files 4df6754 update changelog 8f7f903...
Bumps [cross-fetch](https://github.com/lquixada/cross-fetch) from 3.1.4 to 3.1.5. Release notes Sourced from cross-fetch's releases. v3.1.5 What's Changed chore: updated node-fetch version to 2.6.7 by @dlafreniere in lquixada/cross-fetch#124 New Contributors @dlafreniere made their...
Bumps [minimist](https://github.com/substack/minimist) from 1.2.5 to 1.2.6. Commits 7efb22a 1.2.6 ef88b93 security notice for additional prototype pollution issue c2b9819 isConstructorOrProto adapted from PR bc8ecee test from prototype pollution PR See full...
Enhance the library with conformal quantile prediction `torchts`: - Add `quantile_err` in `loss.py` - Add `calibration`, `calibration_pred`, `conformal_predict` in `model.py` - Modify `fit`, `_step`, `validation_step` in `model.py` `example`: - Add...
