Files
quant-trader-service/training/scripts/11_train_small_models.py
2026-06-28 09:27:59 +08:00

30 lines
1.0 KiB
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-source",
choices=("none", "direction_label", "side_opportunity"),
default="none",
help="Entry 训练样本人群来源:不筛选、按 Direction 标签筛选、或按本方向未来机会阈值筛选。",
)
parser.add_argument("--conditional-entry-opportunity-bps", type=float, default=40.0)
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()