*Issue #, if available:*
*Description of changes:*
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
*Issue #, if available:*
*Description of changes:*
- Add pointers to fev and JumpStart notebook in the README
- Add notebook describing how to deploy Chronos with SageMaker JumpStart
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
*Issue #, if available:*
*Description of changes:* This PR uses absolute link to the images so
they show up correct on other places such as PyPi.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
*Issue #, if available:*
*Description of changes:* `predict` returns different things based on
model type. This fixes the example to use `predict_quantiles` which will
give correct quantiles.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
Co-authored-by: Abdul Fatir Ansari <ansarnd@amazon.de>
*Issue #, if available:*
*Description of changes:* MPS mostly causes issues for users, so let's
remove the reference to MPS from the README. Plus, Chronos-Bolt models
currently fail on MPS.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
Co-authored-by: Abdul Fatir Ansari <ansarnd@amazon.de>
*Description of changes:* This PR updates project information and
workflows to allow for PyPi release.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
---------
Co-authored-by: Abdul Fatir Ansari <ansarnd@amazon.de>
*Issue #, if available:* N/A
*Description of changes:* This PR adds support for Chronos-Bolt models.
TODOs:
- [x] Update evaluation script
- [x] Fix and add tests for Bolt
- [x] Update docstrings
- [x] Update README example and mention Chronos-Bolt
- [x] Update results bar plot in README
- [x] Add versions for libraries in `pyproject.toml`
- [x] Check that the training and eval scripts work
- [x] Change `autogluon` -> `amazon` in model names
Post Merge:
- [ ] Update Citation style in README, both Github and HuggingFace repos
- [ ] Remove note about AutoGluon
- [ ] Update READMEs of original Chronos models to refer to Chronos-Bolt
NOTE: To be merged after Chronos-Bolt models are available under the
`amazon` namespace on HF.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
---------
Co-authored-by: Abdul Fatir Ansari <ansarnd@amazon.de>
Co-authored-by: Caner Turkmen <turkmen.ac@gmail.com>
Co-authored-by: Lorenzo Stella <stellalo@amazon.com>
*Issue #, if available:*
*Description of changes:* Update README.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
*Description of changes:* Title.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
*Description of changes:* This PR updates README.md with dataset and
evaluation details
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
*Description of changes:* Updates the citation.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
*Description of changes:* Simplifies content in the "Usage" section, fix
a link.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
*Description of changes:* Adds usage examples for `scripts/`.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
---------
Co-authored-by: Abdul Fatir Ansari <ansarnd@amazon.com>
*Description of changes:* This PR adds the script to generate synthetic
data from KernelSynth.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
---------
Co-authored-by: Abdul Fatir Ansari <ansarnd@amazon.com>
*Description of changes:* Add training script and config files. Can be
used for pre-training, or adapted for fine-tuning chronos models.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
---------
Co-authored-by: Abdul Fatir <Abdulfatirs@gmail.com>
*Issue #, if available:*
*Description of changes:*
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
---------
Co-authored-by: Abdul Fatir <Abdulfatirs@gmail.com>
*Description of changes:* This PR revamps the README.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
---------
Co-authored-by: Abdul Fatir Ansari <ansarnd@amazon.com>
*Issue #, if available:* #28 (also, PR #41)
*Description of changes:* This PR updates the README with information on
MLX support.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
*Description of changes:* This PR adds `pipeline.embed` which extracts
encoder embeddings from the model. These embeddings may be useful for
some downstream tasks such as classification, so this is useful to have.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.
---------
Co-authored-by: Abdul Fatir Ansari <ansarnd@amazon.de>
*Description of changes:* This PR adds optional inference params such as
`num_samples`, `top_k`, etc. to the example in the README for clarity.
By submitting this pull request, I confirm that you can use, modify,
copy, and redistribute this contribution, under the terms of your
choice.