Elgato_dark/chronos-forecasting
1
0
Fork 0
mirror of https://github.com/amazon-science/chronos-forecasting synced 2026-05-24 01:58:27 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions
chronos-forecasting/scripts/evaluation/results/chronos-bolt-base-zero-shot.csv

29 lines
2.1 KiB
Text
Raw Permalink Normal View History

:zap: Add support for Chronos-Bolt models (#204) *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>
2024-11-26 16:47:14 +00:00
dataset,model,MASE,WQL
ETTh,amazon/chronos-bolt-base,0.7479154031956647,0.07062173821055001
ETTm,amazon/chronos-bolt-base,0.6334357237512225,0.052261607745858835
dominick,amazon/chronos-bolt-base,0.8560272479913918,0.3453573743726445
ercot,amazon/chronos-bolt-base,0.6933217425507392,0.02142183038021456
exchange_rate,amazon/chronos-bolt-base,1.7095176257412634,0.01200682136751536
m4_quarterly,amazon/chronos-bolt-base,1.2244670010522907,0.0771066518089854
m4_yearly,amazon/chronos-bolt-base,3.513752058541554,0.12142798053483984
m5,amazon/chronos-bolt-base,0.9152230096463854,0.561999688057527
monash_australian_electricity,amazon/chronos-bolt-base,0.7403239930185613,0.03584034231329335
monash_car_parts,amazon/chronos-bolt-base,0.8550263912438314,0.9945122291263591
monash_cif_2016,amazon/chronos-bolt-base,0.9988541862779904,0.016456104842296485
monash_covid_deaths,amazon/chronos-bolt-base,38.901749109066415,0.047410971217640714
monash_fred_md,amazon/chronos-bolt-base,0.6468787708795645,0.04185083716355386
monash_hospital,amazon/chronos-bolt-base,0.6883138394434054,0.057032869931903894
monash_m1_monthly,amazon/chronos-bolt-base,1.0997677446267855,0.1392311148066238
monash_m1_quarterly,amazon/chronos-bolt-base,1.7737851980875563,0.1007118219350403
monash_m1_yearly,amazon/chronos-bolt-base,4.404672537832342,0.1504617654430952
monash_m3_monthly,amazon/chronos-bolt-base,0.8510696834878182,0.09269673913736748
monash_m3_quarterly,amazon/chronos-bolt-base,1.2890908822598466,0.07615133571216029
monash_m3_yearly,amazon/chronos-bolt-base,2.9067097980770082,0.12934285625258413
monash_nn5_weekly,amazon/chronos-bolt-base,0.9158766337957451,0.08352114810139548
monash_tourism_monthly,amazon/chronos-bolt-base,1.5283388458731357,0.09026425492612797
monash_tourism_quarterly,amazon/chronos-bolt-base,1.756127005530011,0.06448060953595125
monash_tourism_yearly,amazon/chronos-bolt-base,3.691545772463519,0.16548820700844424
monash_traffic,amazon/chronos-bolt-base,0.7843310867739336,0.23148632068725078
monash_weather,amazon/chronos-bolt-base,0.8115247139672316,0.13350830777170594
nn5,amazon/chronos-bolt-base,0.5764084996361287,0.1500519584148468
Reference in a new issue Copy permalink