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b5ddee8dce
* feat(HPO): added `run_hpo` script * fix(Linter): ran * feat(HPO): removed any reference to sweep (superseeded by optuna) * fix(HPO): optimize for sharpe * fix(Config): removed glassnode data, save trials from hpo * feat(Labelling): added three-balanced method works again * fix(BetSizing): set the correct class labels * fix(HPO): powerset should return what's expected, added two new normalization methods * fix(Linter): ran * fix(DataLoader): sort the dataframe when fetching data * fix(Config): only take z-score of other assets
10 lines
190 B
Python
10 lines
190 B
Python
from run_pipeline import run_pipeline
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from config.presets import get_dev_config
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run_pipeline(
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project_name="price-prediction",
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with_wandb=False,
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raw_config=get_dev_config(),
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)
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