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hub / github.com/Open-Quant/openquant / _dataset_from_cfg

Function _dataset_from_cfg

experiments/run_pipeline.py:33–44  ·  view source on GitHub ↗
(cfg: dict)

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31
32
33def _dataset_from_cfg(cfg: dict) -> tuple[object, dict]:
34 meta = cfg.get("meta", {})
35 data_cfg = cfg.get("data", {})
36 seed = int(meta.get("seed", 7))
37 n_bars = int(meta.get("n_bars", 192))
38 asset_names = list(data_cfg.get("asset_names", ["CL", "NG", "RB", "GC"]))
39 dataset = openquant.research.make_synthetic_futures_dataset(
40 n_bars=n_bars,
41 seed=seed,
42 asset_names=asset_names,
43 )
44 return dataset, {"seed": seed, "n_bars": n_bars, "asset_names": asset_names}
45
46
47def _merged_run_cfg(cfg: dict) -> dict:

Callers 2

runFunction · 0.85
run_gridFunction · 0.85

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