the zero baseline model #38
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sarakallis
reviewed
Jun 23, 2024
| @@ -0,0 +1,27 @@ | |||
| def get_swep_config(): | |||
xiaolong0728
reviewed
Jul 1, 2024
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| elif args.run_type == 'forecasting': | ||
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| execute_model_tasks(config = config, project = project, train = False, eval = False, forecast=True) |
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train is not necessarily False. We might also train the model based on the forecasting partition
| meta_config = { | ||
| "name": "hazel_rabbit", | ||
| "algorithm": "zero baseline", | ||
| "target(S)": ["ln_sb_best", "ln_ns_best", "ln_os_best", "ln_sb_best_binarized", "ln_ns_best_binarized", "ln_os_best_binarized"], |
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Just out of curiosity: is there a reason for the capital S in "target(S)"?
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The zero baseline model: assigns zeros.
It works with data from ./data/raw directory.