mirror of
https://github.com/NicolasBohn/NexQuant.git
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you-n-g
b662f45021
* feat: add model dump flag and multi-evaluator support * tmp code * refactor: update evaluator feedback and FBWorkspace types * feat: add get_clear_ws_cmd and CPU count in Docker environment * feat: Add model dump check level and enhance evaluator functionality fix data type bug * fix: Ensure required files exist before model dump evaluation * refactor: streamline prompt and file checks in model dump evaluation * fix: add assertions and reorder file reads in model dump evaluator * feat: remove EDA part from evaluation output * docs: update dump_model guidelines and eval prompt to include template * style: reformat multiline dicts and lists in conf and eval files * fix: add DOTALL flag to EDA removal regex
45 lines
1.1 KiB
Python
45 lines
1.1 KiB
Python
from typing import Literal
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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 related
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proposal_version: str = "v1"
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coder_on_whole_pipeline: bool = False
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max_trace_hist: int = 3
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coder_max_loop: int = 10
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runner_max_loop: int = 3
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rule_base_eval: bool = False
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### model dump
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enable_model_dump: bool = False
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model_dump_check_level: Literal["medium", "high"] = "medium"
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DS_RD_SETTING = DataScienceBasePropSetting()
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