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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>
78 lines
1.9 KiB
YAML
78 lines
1.9 KiB
YAML
# Backtest configs for the 15 "in-domain" datasets.
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# The training portion of these datasets was part of the
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# training corpus for Chronos models.
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- name: electricity_15min
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hf_repo: autogluon/chronos_datasets
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offset: -5376
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prediction_length: 24
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num_rolls: 1
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- name: monash_electricity_hourly
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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_electricity_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_kdd_cup_2018
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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: m4_daily
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hf_repo: autogluon/chronos_datasets
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offset: -14
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prediction_length: 14
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num_rolls: 1
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- name: m4_hourly
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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: m4_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: m4_weekly
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hf_repo: autogluon/chronos_datasets
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offset: -13
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prediction_length: 13
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num_rolls: 1
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- name: monash_pedestrian_counts
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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: taxi_30min
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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: uber_tlc_hourly
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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: uber_tlc_daily
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hf_repo: autogluon/chronos_datasets
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offset: -7
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prediction_length: 7
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num_rolls: 1
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- name: monash_rideshare
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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_temperature_rain
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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_london_smart_meters
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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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