Download meta.json from thanatchon36/lockdowns-as-partial-holidays: direct link, hf CLI and curl.
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- Download file 2.65 kB
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https://huggingface.co/thanatchon36/lockdowns-as-partial-holidays/resolve/main/meta.json
- Command line
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hf download hf://thanatchon36/lockdowns-as-partial-holidays/meta.json
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curl -L -o meta.json https://huggingface.co/thanatchon36/lockdowns-as-partial-holidays/resolve/main/meta.json
2.65 kB
| { | |
| "description": "HES models of the shock experiment (E1), replication 0, trained on simulated daily exports of scenario S1, 2010-01-01 to 2019-12-31. Forecasts are for that simulated series.", | |
| "paper": "https://thanatchon36.github.io/lockdowns-as-partial-holidays/paper/", | |
| "code": "https://github.com/thanatchon36/lockdowns-as-partial-holidays", | |
| "dataset": "https://huggingface.co/datasets/thanatchon36/lockdowns-as-partial-holidays", | |
| "doi": "10.5281/zenodo.24036954", | |
| "seed": 0, | |
| "scenario": "S1", | |
| "train_start": "2010-01-01", | |
| "train_end": "2019-12-31", | |
| "true_beta_D": -0.7985076962177716, | |
| "true_beta_P": -0.2231435513142097, | |
| "target": "daily models: log daily exports; monthly models: log average daily exports in the month", | |
| "versions": { | |
| "prophet": "1.5.0", | |
| "lightgbm": "4.7.0", | |
| "statsmodels": "0.15.0", | |
| "numpy": "2.5.4", | |
| "pandas": "3.1.1" | |
| }, | |
| "models": { | |
| "Prophet-D HE": { | |
| "kind": "prophet", | |
| "file": "prophet_daily_he.json", | |
| "regressors": [ | |
| "xD", | |
| "xP" | |
| ], | |
| "coef": { | |
| "xD": -0.7998731051685039, | |
| "xP": -0.21685976937293583 | |
| }, | |
| "smear": 1.007833304501541 | |
| }, | |
| "Prophet-M HE": { | |
| "kind": "prophet", | |
| "file": "prophet_monthly_he.json", | |
| "regressors": [ | |
| "MxD", | |
| "MxP", | |
| "WK" | |
| ], | |
| "coef": { | |
| "MxD": -0.6125574883966287, | |
| "MxP": -0.2188978962390142, | |
| "WK": -0.5309428971851337 | |
| }, | |
| "smear": 1.000984511397581 | |
| }, | |
| "Prophet-M HE+AC": { | |
| "kind": "correction", | |
| "of": "Prophet-M HE", | |
| "beta_D": -0.8799999999999999, | |
| "beta_P": -0.23999999999999977 | |
| }, | |
| "SARIMAX HE": { | |
| "kind": "sarimax", | |
| "file": "sarimax_he.json", | |
| "regressors": [ | |
| "MxD", | |
| "MxP", | |
| "WK" | |
| ], | |
| "coef": { | |
| "MxD": -0.7524975449208551, | |
| "MxP": -0.2558355442838506, | |
| "WK": -0.5099850937908507 | |
| }, | |
| "smear": 1.0012134417661014, | |
| "first_forecast_month": "2020-01" | |
| }, | |
| "LightGBM-D HE": { | |
| "kind": "lightgbm", | |
| "file": "lightgbm_daily_he.txt", | |
| "features": [ | |
| "dow", | |
| "doy", | |
| "xD", | |
| "xP" | |
| ], | |
| "trend": [ | |
| 0.014458772332339529, | |
| 6.270988132709264 | |
| ], | |
| "smear": 1.0076154234429453 | |
| }, | |
| "LightGBM-M HE": { | |
| "kind": "lightgbm", | |
| "file": "lightgbm_monthly_he.txt", | |
| "features": [ | |
| "month", | |
| "MxD", | |
| "MxP", | |
| "WK" | |
| ], | |
| "trend": [ | |
| 0.01466551523052972, | |
| 6.312449602330975 | |
| ], | |
| "smear": 1.0014729941195222 | |
| } | |
| }, | |
| "max_rel_diff_to_paper_run": { | |
| "LightGBM-D HE": 7.19268064199258e-15, | |
| "LightGBM-M HE": 2.753593668741965e-15, | |
| "Prophet-D HE": 0.0012294419769895552, | |
| "Prophet-M HE": 0.0017426922672111808, | |
| "Prophet-M HE+AC": 0.005367919714673242, | |
| "SARIMAX HE": 0.014258936700534174 | |
| } | |
| } |