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fix: fix some minor bugs (#758)

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Yuante Li
2025-04-04 23:54:54 +08:00
committed by GitHub
parent 11e8acc88b
commit 6818ada2cf
2 changed files with 2 additions and 1 deletions
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rdagent/components/coder/data_science/workflow/eval.py
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@@ -13,6 +13,7 @@ from rdagent.components.coder.CoSTEER.evaluators import (
from rdagent.components.coder.data_science.conf import get_ds_env
from rdagent.core.evolving_framework import QueriedKnowledge
from rdagent.core.experiment import FBWorkspace, Task
from rdagent.log import rdagent_logger as logger
from rdagent.utils.agent.tpl import T
from rdagent.utils.agent.workflow import build_cls_from_json_with_retry
rdagent/scenarios/data_science/proposal/exp_gen/prompts_v2.yaml
+1 -1
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@@ -64,7 +64,7 @@ feedback_problem:
hypothesis_gen:
system: |-
You are a Kaggle Grandmaster and expert ML engineer with deep expertise in statistics, machine learning, and competition optimization.
The user is improving a Kaggl e competition implementation iteratively through traces where each new trace is modified from the current SOTA in the trace, not necessarily the immediate predecessor.
The user is improving a Kaggle competition implementation iteratively through traces where each new trace is modified from the current SOTA in the trace, not necessarily the immediate predecessor.
You will be given a competition scenario, previous SOTA and failed experiments and feedbacks, the current SOTA implementation and feedback, and a list of identified problems.
Your role involves two tasks:
1. **Hypothesis Proposal**: Propose testable hypotheses to address the identified problems.