*Issue #, if available:*
*Description of changes:* This PR adds the Chronos-2 model.
* Chronos-2 modeling and pipeline code, including tests.
* Updated `pyproject.toml`. Merge `training` and `evaluation` extras
into a single `dev` extra. This stuff is only relevant for the Chronos
models.
* Added `predict_fev` to `BaseChronosPipeline`.
* Changes to `InstanceNorm` for Chronos-Bolt to make it general and
compatible with Chronos-2.
* Minor renaming and polishing in the inference code for Chronos and
Chronos-Bolt.
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---------
Co-authored-by: Oleksandr Shchur <oleks.shchur@gmail.com>
*Issue #, if available:* Fixes#235
*Description of changes:*
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choice.
*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.
*Description of changes:* This PR adds configs and a script to evaluate
Chronos models in the same way as described in the paper.
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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 support for training
causal/decoder-only models.
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choice.
Co-authored-by: Abdul Fatir Ansari <ansarnd@amazon.de>
*Issue #, if available:*
*Description of changes:*
There is one space missing in the example training command.
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Co-authored-by: Ubuntu <ubuntu@ip-172-31-43-83.us-west-2.compute.internal>
*Description of changes:* Adds details to the Readme on how to push a
fine-tuned model to HF Hub.
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copy, and redistribute this contribution, under the terms of your
choice.
---------
Co-authored-by: Abdul Fatir Ansari <ansarnd@amazon.de>
*Description of changes:* Adds usage examples for `scripts/`.
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copy, and redistribute this contribution, under the terms of your
choice.
---------
Co-authored-by: Abdul Fatir Ansari <ansarnd@amazon.com>
