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https://github.com/amazon-science/chronos-forecasting
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*Description of changes:* This PR adds configs and a script to evaluate Chronos models in the same way as described in the paper. 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>
137 lines
No EOL
3.1 KiB
YAML
137 lines
No EOL
3.1 KiB
YAML
# Backtest configs for the 27 "zero-shot" datasets.
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# These datasets were not seen by Chronos models during training.
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- name: monash_traffic
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hf_repo: autogluon/chronos_datasets
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offset: -24
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prediction_length: 24
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num_rolls: 1
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- name: monash_australian_electricity
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hf_repo: autogluon/chronos_datasets
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offset: -48
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prediction_length: 48
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num_rolls: 1
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- name: ercot
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hf_repo: autogluon/chronos_datasets
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offset: -24
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prediction_length: 24
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num_rolls: 1
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- name: ETTm
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hf_repo: autogluon/chronos_datasets_extra
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offset: -96
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prediction_length: 24
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num_rolls: 1
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- name: ETTh
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hf_repo: autogluon/chronos_datasets_extra
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offset: -24
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prediction_length: 24
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num_rolls: 1
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- name: exchange_rate
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hf_repo: autogluon/chronos_datasets
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offset: -30
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prediction_length: 30
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num_rolls: 1
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- name: nn5
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hf_repo: autogluon/chronos_datasets
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offset: -56
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prediction_length: 56
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num_rolls: 1
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- name: monash_nn5_weekly
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hf_repo: autogluon/chronos_datasets
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offset: -8
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prediction_length: 8
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num_rolls: 1
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- name: monash_weather
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hf_repo: autogluon/chronos_datasets
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offset: -30
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prediction_length: 30
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num_rolls: 1
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- name: monash_covid_deaths
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hf_repo: autogluon/chronos_datasets
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offset: -30
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prediction_length: 30
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num_rolls: 1
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- name: monash_fred_md
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hf_repo: autogluon/chronos_datasets
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offset: -12
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prediction_length: 12
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num_rolls: 1
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- name: m4_quarterly
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hf_repo: autogluon/chronos_datasets
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offset: -8
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prediction_length: 8
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num_rolls: 1
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- name: m4_yearly
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hf_repo: autogluon/chronos_datasets
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offset: -6
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prediction_length: 6
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num_rolls: 1
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- name: dominick
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hf_repo: autogluon/chronos_datasets
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offset: -8
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prediction_length: 8
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num_rolls: 1
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- name: m5
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hf_repo: autogluon/chronos_datasets
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offset: -28
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prediction_length: 28
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num_rolls: 1
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- name: monash_tourism_monthly
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hf_repo: autogluon/chronos_datasets
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offset: -24
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prediction_length: 24
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num_rolls: 1
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- name: monash_tourism_quarterly
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hf_repo: autogluon/chronos_datasets
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offset: -8
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prediction_length: 8
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num_rolls: 1
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- name: monash_tourism_yearly
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hf_repo: autogluon/chronos_datasets
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offset: -4
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prediction_length: 4
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num_rolls: 1
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- name: monash_car_parts
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hf_repo: autogluon/chronos_datasets
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offset: -12
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prediction_length: 12
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num_rolls: 1
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- name: monash_hospital
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hf_repo: autogluon/chronos_datasets
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offset: -12
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prediction_length: 12
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num_rolls: 1
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- name: monash_cif_2016
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hf_repo: autogluon/chronos_datasets
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offset: -12
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prediction_length: 12
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num_rolls: 1
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- name: monash_m1_yearly
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hf_repo: autogluon/chronos_datasets
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offset: -6
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prediction_length: 6
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num_rolls: 1
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- name: monash_m1_quarterly
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hf_repo: autogluon/chronos_datasets
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offset: -8
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prediction_length: 8
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num_rolls: 1
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- name: monash_m1_monthly
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hf_repo: autogluon/chronos_datasets
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offset: -18
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prediction_length: 18
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num_rolls: 1
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- name: monash_m3_monthly
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hf_repo: autogluon/chronos_datasets
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offset: -18
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prediction_length: 18
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num_rolls: 1
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- name: monash_m3_yearly
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hf_repo: autogluon/chronos_datasets
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offset: -6
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prediction_length: 6
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num_rolls: 1
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- name: monash_m3_quarterly
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hf_repo: autogluon/chronos_datasets
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offset: -8
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prediction_length: 8
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num_rolls: 1 |