Codex
9acb3460a1
Align entry labels with max future edge, tune direction labeling, and harden regression evaluation. Add training diagnostics, price-plan search, feature screening, and nonlinear benchmark scripts.
36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
from __future__ import annotations
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import argparse
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from pathlib import Path
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import _bootstrap # noqa: F401
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from trader_training.io_utils import add_common_args, setup_logging
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from trader_training.price_plan_search import search_price_plans
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def _float_tuple(value: str) -> tuple[float, ...]:
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return tuple(float(item.strip()) for item in value.split(",") if item.strip())
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def _int_tuple(value: str) -> tuple[int, ...]:
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return tuple(int(item.strip()) for item in value.split(",") if item.strip())
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def main() -> None:
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parser = argparse.ArgumentParser()
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add_common_args(parser)
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parser.add_argument("--feature-path", type=Path)
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parser.add_argument("--replay-path", type=Path)
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parser.add_argument("--label-config-path", type=Path)
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parser.add_argument("--cost-config-path", type=Path)
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parser.add_argument("--horizons", type=_int_tuple)
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parser.add_argument("--targets", type=_float_tuple)
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parser.add_argument("--stops", type=_float_tuple)
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args = parser.parse_args()
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setup_logging()
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search_price_plans(args)
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if __name__ == "__main__":
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main()
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