mirror of
https://github.com/amazon-science/chronos-forecasting
synced 2026-05-24 01:58:27 +00:00
72ab64166c
*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-large | 0.3866310906621673 | 0.07759528615667297 |
| 3 | m4_daily | amazon/chronos-t5-large | 3.134560968849699 | 0.02158279722410466 |
| 4 | m4_hourly | amazon/chronos-t5-large | 0.6975930649233378 | 0.02086427219957674 |
| 5 | m4_monthly | amazon/chronos-t5-large | 0.9585550091429409 | 0.10091221432814867 |
| 6 | m4_weekly | amazon/chronos-t5-large | 2.0191422600104425 | 0.036912838355537186 |
| 7 | monash_electricity_hourly | amazon/chronos-t5-large | 1.4069912853901292 | 0.09642382339452431 |
| 8 | monash_electricity_weekly | amazon/chronos-t5-large | 1.7501880036182798 | 0.05765306465830232 |
| 9 | monash_kdd_cup_2018 | amazon/chronos-t5-large | 0.6788042816175427 | 0.2853553329804835 |
| 10 | monash_london_smart_meters | amazon/chronos-t5-large | 0.8290300790418726 | 0.4235436387853963 |
| 11 | monash_pedestrian_counts | amazon/chronos-t5-large | 0.2764118100521592 | 0.18692234491663473 |
| 12 | monash_rideshare | amazon/chronos-t5-large | 0.8758058784466208 | 0.140260325368757 |
| 13 | monash_temperature_rain | amazon/chronos-t5-large | 0.9738403865035117 | 0.6604571928063249 |
| 14 | taxi_30min | amazon/chronos-t5-large | 0.8245662397270109 | 0.2653520120326771 |
| 15 | uber_tlc_daily | amazon/chronos-t5-large | 0.8044165990021739 | 0.09499035584302248 |
| 16 | uber_tlc_hourly | amazon/chronos-t5-large | 0.6700665937164474 | 0.15190288476653066 |