Files
quant-trader-service/training/scripts/11_train_small_models.py
T
2026-06-28 08:40:30 +08:00

23 lines
646 B
Python

from __future__ import annotations
import argparse
import _bootstrap # noqa: F401
from trader_training.io_utils import add_common_args, setup_logging
from trader_training.training import train_small_models
def main() -> None:
parser = argparse.ArgumentParser()
add_common_args(parser)
parser.add_argument("--max-rows", type=int, default=0)
parser.add_argument("--conditional-entry-direction-labels", action="store_true")
parser.add_argument("--conditional-entry-min-fit-rows", type=int, default=1000)
args = parser.parse_args()
setup_logging()
train_small_models(args)
if __name__ == "__main__":
main()