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be4646b4b7
* Intermediate version * Fix yaml template & Successfully run rolling * Be compatible with benchmark * Get same results with previous linear model * Black formatting * Update black * Update the placeholder mechanism * Update CI * Update CI * Upgrade Black * Fix CI and simplify code * Fix CI * Move the data processing caching mechanism into utils. * Adjusting DDG-DA * Organize import
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
import argparse
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import qlib
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import ruamel.yaml as yaml
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from qlib.utils import init_instance_by_config
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def main(seed, config_file="configs/config_alstm.yaml"):
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# set random seed
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with open(config_file) as f:
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config = yaml.safe_load(f)
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# seed_suffix = "/seed1000" if "init" in config_file else f"/seed{seed}"
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seed_suffix = ""
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config["task"]["model"]["kwargs"].update(
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{"seed": seed, "logdir": config["task"]["model"]["kwargs"]["logdir"] + seed_suffix}
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)
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# initialize workflow
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qlib.init(
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provider_uri=config["qlib_init"]["provider_uri"],
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region=config["qlib_init"]["region"],
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)
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dataset = init_instance_by_config(config["task"]["dataset"])
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model = init_instance_by_config(config["task"]["model"])
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# train model
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model.fit(dataset)
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if __name__ == "__main__":
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# set params from cmd
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parser = argparse.ArgumentParser(allow_abbrev=False)
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parser.add_argument("--seed", type=int, default=1000, help="random seed")
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parser.add_argument("--config_file", type=str, default="configs/config_alstm.yaml", help="config file")
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args = parser.parse_args()
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main(**vars(args))
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