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* 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>