mirror of
https://github.com/NicolasBohn/NexQuant.git
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WinstonLiyt
96424bd1ff
* fuse all code into one commit * remove container auto * change remove method * add kaggle env start * change kaggle api * change structure * add crawler * add requirements * refeact the code * delete mistaken codes * merge docker settings and crawler * add chrome install README for crawler usage * Connect scen with Kaggle to download data * Reformat some files to pass CI. * fix some ci errors * fix a ci error * fix a ci error --------- Co-authored-by: Bowen Xian <xianbowen@outlook.com>
43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
from pathlib import Path
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from pydantic_settings import BaseSettings
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from rdagent.components.workflow.conf import BasePropSetting
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class PropSetting(BasePropSetting):
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class Config:
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env_prefix = "KG_"
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"""Use `KG_` as prefix for environment variables"""
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protected_namespaces = ()
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"""Add 'model_' to the protected namespaces"""
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# 1) overriding the default
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scen: str = "rdagent.scenarios.kaggle.experiment.model_experiment.KGModelScenario"
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"""Scenario class for data mining model"""
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hypothesis_gen: str = "rdagent.scenarios.kaggle.proposal.model_proposal.KGModelHypothesisGen"
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"""Hypothesis generation class"""
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hypothesis2experiment: str = "rdagent.scenarios.kaggle.proposal.model_proposal.KGModelHypothesis2Experiment"
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"""Hypothesis to experiment class"""
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coder: str = "rdagent.scenarios.kaggle.developer.model_coder.KGModelCoSTEER"
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"""Coder class"""
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runner: str = "rdagent.scenarios.kaggle.developer.model_runner.KGModelRunner"
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"""Runner class"""
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summarizer: str = "rdagent.scenarios.kaggle.developer.feedback.KGModelHypothesisExperiment2Feedback"
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"""Summarizer class"""
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evolving_n: int = 10
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"""Number of evolutions"""
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evolving_n: int = 10
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competition: str = ""
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PROP_SETTING = PropSetting()
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