mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-27 23:47:46 +00:00
Roland Minrui
6cc1e5da3c
* init commit * limit problem numbers * ensemble lower case * add runtime and spec to coder * submission check notice * sub EDA in sample execution * avoid lightgbm * add time limit to scenario * rephrase the submission check * give positive feedback when facing warning in check * ENABLE FEEDBACK * fix feedback bug --------- Co-authored-by: Xu Yang <peteryang@vip.qq.com>
35 lines
891 B
Python
35 lines
891 B
Python
from pydantic_settings import SettingsConfigDict
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from rdagent.app.kaggle.conf import KaggleBasePropSetting
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class DataScienceBasePropSetting(KaggleBasePropSetting):
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model_config = SettingsConfigDict(env_prefix="DS_", protected_namespaces=())
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# Main components
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## Scen
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scen: str = "rdagent.scenarios.data_science.scen.KaggleScen"
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"""Scenario class for data mining model"""
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## Workflow Related
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consecutive_errors: int = 5
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debug_timeout: int = 600
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"""The timeout limit for running on debugging data"""
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full_timeout: int = 3600
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"""The timeout limit for running on full data"""
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### specific feature
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#### enable specification
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spec_enabled: bool = True
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proposal_version: str = "v1"
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coder_on_whole_pipeline: bool = False
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coder_max_loop: int = 10
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runner_max_loop: int = 3
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DS_RD_SETTING = DataScienceBasePropSetting()
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