mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-27 23:47:46 +00:00
Roland Minrui
6f3a44c18a
* init commit * remove the 5-fold spec from prompts * refine the hyperparameter specification * do not sample data * a small spelling issue * refine prompt to avoid submission cheating * do not sample data * simplify code * refine the coder evaluator prompt * refine wording * remove runtime from proposal * refine wording * refine prompt * add gpu info in runtime_info.py * modify the spec * add router and add refinement exp gen * fix prompt bug * use rule-based logic for router * complete the prompt * fix circular import bug * fix bug * make refine_decision optional * update pipeline prompts: (1) add scenary: in an iterative cooding loop and use sample datasets (2)add some generation tops in coding (3)add evaluation guidelines in evaluation (4)polish the json schema and description * fix a small bug * fix a small bug * rdagent/scenarios/data_science/loop.py back to the original version * refactor: replace _get_exp_gen with default_exp_gen for exp generation * import * refactor: make the __init__ back to main * fix small bugs * fix bugs for proposal_version * move refine into runner * check early stop * EDA improvement & coder classes number * fix CI * slightly refine the prompt * remove rule_base_eval and remove useless prompt --------- Co-authored-by: Xu <v-xuminrui@microsoft.com> Co-authored-by: TPLin22 <tplin2@163.com> Co-authored-by: amstrongzyf <amstrongzyf@126.com> Co-authored-by: Xu Yang <peteryang@vip.qq.com> Co-authored-by: Xu Yang <xuyang1@microsoft.com> Co-authored-by: Young <afe.young@gmail.com>
Introduction
!!!!!This dev container is not for public development!!!!!! !!!!!Please don't use it if you are just a public open-source user.!!!!!!
Steps to run the dev container (for internal use only)
Prerequisites(this is the reason why this dev container is not for public use):
- Make sure you have the
rdagentappregistry.azurecr.io/rd-agent-mle:20250623image locally & DevContainer is installed in your IDE - The kaggle dataset is located at
/home/shared/RD-Agent/kaggle
- Open the project and select "Open In DevContainer"
- Set up your Kaggle Key (do not share this; other internal URLs are hardcoded in the config files)
export KAGGLE_USERNAME=
export KAGGLE_KEY=
- Run: python rdagent/app/data_science/loop.py --competition nomad2018-predict-transparent-conductors
Additional Notes
- Please install and use this Dev Container in VS Code.
- You must open VS Code remotely and enter the
RD-Agentdirectory before running the DevContainer configuration (.devcontainer/devcontainer.json). Otherwise, the workspace and path mappings will not work as expected. - To open the DevContainer correctly in VS Code:
- Remotely connect to the machine and open the
RD-Agentfolder in VS Code. - Press
Ctrl+Shift+P(orCmd+Shift+Pon Mac), type and select "Dev Containers: Reopen in Container".
- Remotely connect to the machine and open the