mirror of
https://github.com/NicolasBohn/NexQuant.git
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WinstonLiyt
44271ecfd4
* fix a bug in kaggle conf * fix a ci error * refine logic for qlib_factor_from_report
85 lines
3.1 KiB
Python
85 lines
3.1 KiB
Python
from pydantic_settings import BaseSettings
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from rdagent.components.workflow.conf import BasePropSetting
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class ModelBasePropSetting(BasePropSetting):
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class Config:
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env_prefix = "QLIB_MODEL_"
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"""Use `QLIB_MODEL_` 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) override base settings
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scen: str = "rdagent.scenarios.qlib.experiment.model_experiment.QlibModelScenario"
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"""Scenario class for Qlib Model"""
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hypothesis_gen: str = "rdagent.scenarios.qlib.proposal.model_proposal.QlibModelHypothesisGen"
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"""Hypothesis generation class"""
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hypothesis2experiment: str = "rdagent.scenarios.qlib.proposal.model_proposal.QlibModelHypothesis2Experiment"
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"""Hypothesis to experiment class"""
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coder: str = "rdagent.scenarios.qlib.developer.model_coder.QlibModelCoSTEER"
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"""Coder class"""
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runner: str = "rdagent.scenarios.qlib.developer.model_runner.QlibModelRunner"
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"""Runner class"""
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summarizer: str = "rdagent.scenarios.qlib.developer.feedback.QlibModelHypothesisExperiment2Feedback"
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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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class FactorBasePropSetting(BasePropSetting):
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class Config:
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env_prefix = "QLIB_FACTOR_"
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"""Use `QLIB_FACTOR_` as prefix for environment variables"""
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protected_namespaces = ()
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"""Add 'factor_' to the protected namespaces"""
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# 1) override base settings
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scen: str = "rdagent.scenarios.qlib.experiment.factor_experiment.QlibFactorScenario"
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"""Scenario class for Qlib Factor"""
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hypothesis_gen: str = "rdagent.scenarios.qlib.proposal.factor_proposal.QlibFactorHypothesisGen"
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"""Hypothesis generation class"""
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hypothesis2experiment: str = "rdagent.scenarios.qlib.proposal.factor_proposal.QlibFactorHypothesis2Experiment"
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"""Hypothesis to experiment class"""
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coder: str = "rdagent.scenarios.qlib.developer.factor_coder.QlibFactorCoSTEER"
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"""Coder class"""
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runner: str = "rdagent.scenarios.qlib.developer.factor_runner.QlibFactorRunner"
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"""Runner class"""
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summarizer: str = "rdagent.scenarios.qlib.developer.feedback.QlibFactorHypothesisExperiment2Feedback"
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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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class FactorFromReportPropSetting(FactorBasePropSetting):
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# 1) override the scen attribute
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scen: str = "rdagent.scenarios.qlib.experiment.factor_from_report_experiment.QlibFactorFromReportScenario"
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"""Scenario class for Qlib Factor from Report"""
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# 2) sub task specific:
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report_result_json_file_path: str = "git_ignore_folder/report_list.json"
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"""Path to the JSON file listing research reports for factor extraction"""
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max_factors_per_exp: int = 10000
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"""Maximum number of factors implemented per experiment"""
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is_report_limit_enabled: bool = False
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"""Limits report processing count if True; processes all if False"""
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FACTOR_PROP_SETTING = FactorBasePropSetting()
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FACTOR_FROM_REPORT_PROP_SETTING = FactorFromReportPropSetting()
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MODEL_PROP_SETTING = ModelBasePropSetting()
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