mirror of
https://github.com/amazon-science/chronos-forecasting
synced 2026-05-24 01:58:27 +00:00
*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>
1.2 KiB
1.2 KiB
| 1 | dataset | model | MASE | WQL |
|---|---|---|---|---|
| 2 | electricity_15min | amazon/chronos-t5-base | 0.39879754957261204 | 0.07738953262286181 |
| 3 | m4_daily | amazon/chronos-t5-base | 3.160575865614404 | 0.02194256368254537 |
| 4 | m4_hourly | amazon/chronos-t5-base | 0.6938747745332102 | 0.026354948301302205 |
| 5 | m4_monthly | amazon/chronos-t5-base | 0.971951848755026 | 0.10355213196432872 |
| 6 | m4_weekly | amazon/chronos-t5-base | 2.0143841267657945 | 0.03639741235815474 |
| 7 | monash_electricity_hourly | amazon/chronos-t5-base | 1.5717251971297332 | 0.1078882125804548 |
| 8 | monash_electricity_weekly | amazon/chronos-t5-base | 1.7862927210886668 | 0.06255982783148449 |
| 9 | monash_kdd_cup_2018 | amazon/chronos-t5-base | 0.6335225775496138 | 0.2684272353843692 |
| 10 | monash_london_smart_meters | amazon/chronos-t5-base | 0.8362014889190201 | 0.4265549499082726 |
| 11 | monash_pedestrian_counts | amazon/chronos-t5-base | 0.2817708325561419 | 0.20810108090665583 |
| 12 | monash_rideshare | amazon/chronos-t5-base | 0.8614480533175364 | 0.1356591190888703 |
| 13 | monash_temperature_rain | amazon/chronos-t5-base | 0.9692405156151607 | 0.660155448791624 |
| 14 | taxi_30min | amazon/chronos-t5-base | 0.8186287575356217 | 0.26236060366367003 |
| 15 | uber_tlc_daily | amazon/chronos-t5-base | 0.8338648311528079 | 0.0970875577681834 |
| 16 | uber_tlc_hourly | amazon/chronos-t5-base | 0.6647193438331641 | 0.15436646659512512 |