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34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
from run_pipeline import run_training, setup_config
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from config.types import RawConfig
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from data_loader.collections import data_collections
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from reporting.reporting import report_results
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from config.presets import get_default_config
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def run_multi_asset_pipeline(
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project_name: str, with_wandb: bool, sweep: bool, raw_config: RawConfig
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):
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collection = data_collections["fivemin_crypto"]
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for asset in collection:
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print(f"# Predicting asset: {asset[1]}\n")
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raw_config.target_asset = asset[1]
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wandb, config = setup_config(project_name, with_wandb, sweep, raw_config)
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pipeline_outcome = run_training(config)
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report_results(
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pipeline_outcome.directional_training.training.stats,
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pipeline_outcome.get_output_stats(),
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pipeline_outcome.get_output_weights(),
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config,
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wandb,
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sweep,
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)
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if __name__ == "__main__":
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run_multi_asset_pipeline(
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project_name="price-prediction",
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with_wandb=False,
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sweep=False,
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raw_config=get_default_config(),
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)
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