mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-27 23:47:46 +00:00
WinstonLiyt
82bef3a375
* init a scenario for kaggle feature engineering * fix some bugs and add original features' description * refine the process of data downloading * fix a error * revert the code * fix a bug in feedback * fix a ci bug * fix a ci bug
32 lines
784 B
Python
32 lines
784 B
Python
import fire
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from rdagent.app.data_mining.conf import MED_PROP_SETTING
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from rdagent.components.workflow.rd_loop import RDLoop
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from rdagent.core.exception import ModelEmptyError
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class ModelRDLoop(RDLoop):
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skip_loop_error = (ModelEmptyError,)
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def main(path=None, step_n=None):
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"""
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Auto R&D Evolving loop for models in a medical scenario.
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You can continue running session by
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.. code-block:: python
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dotenv run -- python rdagent/app/data_mining/model.py $LOG_PATH/__session__/1/0_propose --step_n 1 # `step_n` is a optional paramter
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"""
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if path is None:
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model_loop = ModelRDLoop(MED_PROP_SETTING)
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else:
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model_loop = ModelRDLoop.load(path)
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model_loop.run(step_n=step_n)
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if __name__ == "__main__":
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fire.Fire(main)
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