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the zero baseline model#38

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lujzi05 wants to merge 1 commit intoproductionfrom
borbala_baseline
Open

the zero baseline model#38
lujzi05 wants to merge 1 commit intoproductionfrom
borbala_baseline

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@lujzi05
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@lujzi05 lujzi05 commented Jun 23, 2024

The zero baseline model: assigns zeros.

  • no sweep run
  • evaluation for testing and calibration
  • forecasting
    It works with data from ./data/raw directory.

@@ -0,0 +1,27 @@
def get_swep_config():
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small typo (sweep)


elif args.run_type == 'forecasting':

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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Added a question out of curiosity – no other comments

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4 participants