mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-08-06 19:47:44 +00:00
Xu Yang
b7fcb13c33
* Use ExtendedBaseSettings to replace BaseSettings * update a more general way to pass the default setting * update all code * fix CI * fix CI * fix qlib scenario * fix CI * fix CI * fix CI & add data science interfaces * remove redundant code * abandon costeer knowledge base v1 --------- Co-authored-by: Xu Yang <xuyang1@microsoft.com> Co-authored-by: XianBW <36835909+XianBW@users.noreply.github.com>
80 lines
2.8 KiB
Python
80 lines
2.8 KiB
Python
from rdagent.components.workflow.conf import BasePropSetting
|
|
from rdagent.core.conf import ExtendedSettingsConfigDict
|
|
|
|
|
|
class KaggleBasePropSetting(BasePropSetting):
|
|
model_config = ExtendedSettingsConfigDict(env_prefix="KG_", protected_namespaces=())
|
|
|
|
# 1) overriding the default
|
|
scen: str = "rdagent.scenarios.kaggle.experiment.scenario.KGScenario"
|
|
"""Scenario class for data mining model"""
|
|
|
|
hypothesis_gen: str = "rdagent.scenarios.kaggle.proposal.proposal.KGHypothesisGen"
|
|
"""Hypothesis generation class"""
|
|
|
|
hypothesis2experiment: str = "rdagent.scenarios.kaggle.proposal.proposal.KGHypothesis2Experiment"
|
|
"""Hypothesis to experiment class"""
|
|
|
|
feature_coder: str = "rdagent.scenarios.kaggle.developer.coder.KGFactorCoSTEER"
|
|
"""Feature Coder class"""
|
|
|
|
model_feature_selection_coder: str = "rdagent.scenarios.kaggle.developer.coder.KGModelFeatureSelectionCoder"
|
|
"""Model Feature Selection Coder class"""
|
|
|
|
model_coder: str = "rdagent.scenarios.kaggle.developer.coder.KGModelCoSTEER"
|
|
"""Model Coder class"""
|
|
|
|
feature_runner: str = "rdagent.scenarios.kaggle.developer.runner.KGFactorRunner"
|
|
"""Feature Runner class"""
|
|
|
|
model_runner: str = "rdagent.scenarios.kaggle.developer.runner.KGModelRunner"
|
|
"""Model Runner class"""
|
|
|
|
summarizer: str = "rdagent.scenarios.kaggle.developer.feedback.KGHypothesisExperiment2Feedback"
|
|
"""Summarizer class"""
|
|
|
|
evolving_n: int = 10
|
|
"""Number of evolutions"""
|
|
|
|
competition: str = ""
|
|
"""Kaggle competition name, e.g., 'sf-crime'"""
|
|
|
|
template_path: str = "rdagent/scenarios/kaggle/experiment/templates"
|
|
"""Kaggle competition base templates path"""
|
|
|
|
local_data_path: str = ""
|
|
"""Folder storing Kaggle competition data"""
|
|
|
|
if_action_choosing_based_on_UCB: bool = False
|
|
"""Enable decision mechanism based on UCB algorithm"""
|
|
|
|
domain_knowledge_path: str = "/data/userdata/share/kaggle/domain_knowledge"
|
|
"""Folder storing domain knowledge files in .case format"""
|
|
|
|
rag_path: str = "git_ignore_folder/kaggle_vector_base.pkl"
|
|
"""Base version of vector-based RAG"""
|
|
|
|
if_using_vector_rag: bool = False
|
|
"""Enable basic vector-based RAG"""
|
|
|
|
if_using_graph_rag: bool = False
|
|
"""Enable advanced graph-based RAG"""
|
|
|
|
# Conditionally set the knowledge_base based on the use of graph RAG
|
|
knowledge_base: str = ""
|
|
"""Knowledge base class, uses 'KGKnowledgeGraph' when advanced graph-based RAG is enabled, otherwise empty."""
|
|
|
|
knowledge_base_path: str = "kg_graph.pkl"
|
|
"""Advanced version of graph-based RAG"""
|
|
|
|
auto_submit: bool = False
|
|
"""Automatically upload and submit each experiment result to Kaggle platform"""
|
|
|
|
mini_case: bool = False
|
|
"""Enable mini-case study for experiments"""
|
|
|
|
if_using_mle_data: bool = False
|
|
|
|
|
|
KAGGLE_IMPLEMENT_SETTING = KaggleBasePropSetting()
|