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feat: implement isolated model feature selection loop (#370)

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* rename meta_tpl

* use a isolated coder to deal with model feature selection and refine the structure

* fix CI

* fix: fix some errors in scenario.py, proposal.py and runner.py and several complex competition scenarios(#365)

* fix several bugs in proposal and runner

* fix a bug in feedback-prize-english-language-learning

* fix some bugs and templates

* fix the bug in optiver and nlp problem

* delete unnecessary codes

* remove unnecessary codes

* complete forest and s4e8

* push

* feedback & s4e8 &  forest

* optiver finished

* s3e11 & s3e26

* s4e9 finished

* sf-crime finished

* the last one finished

---------

Co-authored-by: WinstonLiyt <104308117+WinstonLiyt@users.noreply.github.com>
Co-authored-by: WinstonLiyte <1957922024@qq.com>
This commit is contained in:
Xu Yang
2024-09-28 00:40:25 +08:00
committed by GitHub
parent 437e8d2996
commit f7c1c4fd74
72 changed files with 775 additions and 930 deletions
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rdagent/components/proposal/prompts.yaml
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@@ -12,7 +12,7 @@ hypothesis_gen:
{{ hypothesis_output_format }}
user_prompt: |-
{% if hypothesis_and_feedback|length == 0 %} It is the first round of hypothesis generation. The user has no hypothesis on this scenario yet.
{% if hypothesis_and_feedback|length == 0 %}It is the first round of hypothesis generation. The user has no hypothesis on this scenario yet.
{% else %}It is not the first round, the user has made several hypothesis on this scenario and did several evaluation on them.
The former hypothesis and the corresponding feedbacks are as follows (focus on the last one & the new hypothesis that it provides and reasoning to see if you agree):
{{ hypothesis_and_feedback }}