mirror of
https://github.com/NicolasBohn/NexQuant.git
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WinstonLiyt
25cd4eec76
* init a scenario for kaggle feature engineering * Added support for loading and storing RAG in Kaggle scenarios. * fix a ci bug * Add RAG after each experiment's feedback. * add a promt * fix a bug * fix a bug * add a readme * refine the code in knowledge loading
49 lines
1.5 KiB
Python
49 lines
1.5 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 KaggleBasePropSetting(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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"""Do not allow overriding of these namespaces"""
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# 1) overriding the default
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scen: str = "rdagent.scenarios.kaggle.experiment.scenario.KGScenario"
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"""Scenario class for data mining model"""
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hypothesis_gen: str = "rdagent.scenarios.kaggle.proposal.proposal.KGHypothesisGen"
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"""Hypothesis generation class"""
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hypothesis2experiment: str = "rdagent.scenarios.kaggle.proposal.proposal.KGHypothesis2Experiment"
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"""Hypothesis to experiment class"""
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feature_coder: str = "rdagent.scenarios.kaggle.developer.coder.KGFactorCoSTEER"
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"""Feature Coder class"""
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model_coder: str = "rdagent.scenarios.kaggle.developer.coder.KGModelCoSTEER"
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"""Model Coder class"""
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feature_runner: str = "rdagent.scenarios.kaggle.developer.runner.KGFactorRunner"
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"""Feature Runner class"""
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model_runner: str = "rdagent.scenarios.kaggle.developer.runner.KGModelRunner"
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"""Model Runner class"""
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summarizer: str = "rdagent.scenarios.kaggle.developer.feedback.KGHypothesisExperiment2Feedback"
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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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competition: str = ""
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rag_path: str = "git_ignore_folder/rag"
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KAGGLE_IMPLEMENT_SETTING = KaggleBasePropSetting()
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