Files
drift/run_multi_asset_pipeline.py
T

34 lines
1.1 KiB
Python

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