Releases: microsoft/RD-Agent
Releases · microsoft/RD-Agent
v0.4.0
0.4.0 (2025-04-04)
Features
- (Kaggle) add base template for competition: tabular-playground-series-may-2022 (#481) (f3405ca)
- a unified CoSTEER to fit more scenarios (#491) (cddbd02)
- add a new competition (#474) (2fc0d77)
- add a tool to enable saving workspace files into a specific folder (#728) (bca864b)
- add baseline score stat (#590) (2948026)
- add configurable volume mode for Docker volumes in env.py (#537) (642a022)
- add constraint labels for semantic search (#680) (0584cfc)
- add cross validation to workflow (#700) (82e9b00)
- add describe_data_folder_v2 (#738) (bc8e846)
- add do_truncate control for the load function (#656) (2b960a5)
- add do_truncate control for the load function (#656) (2b960a5)
- add eda to data science scenario (#639) (35aa479)
- add hypothesis guidelines and rule-based ranking (#746) (c077b82)
- Add line length limit to shrink_text function and settings (#715) (75ed5e1)
- add loop_n parameter to the main loop (#611) (778c166)
- add max time config to costeer in data science (#645) (534686c)
- add mlebench submission validitor (#545) (712d94a)
- add model removal and adjust some framework logic (#681) (1edf881)
- add output_path to load function of LoopBase (#628) (dd33726)
- add pipeline coder (#742) (759f295)
- add rank into report (mle_summary) (#665) (13f7922)
- add restart and fix unzip (#538) (ed2c7d1)
- add retry mechanism with wait_retry decorator and refactor diff generation (#572) (de1cd72)
- add the shape of the CSV to the dataset description (#561) (a10c881)
- add timeout settings and cleanup step in data science runner (#539) (295abd5)
- add type checker to api backend & align litellm and old backend (#647) (d38eae9)
- align mlebench data and evaluation & several fix on kaggle workflow (#477) (f6c522b)
- backend: integrate LiteLLM API Backend (#564) (f477687)
- base data science scenario UI (#525) (39917b3)
- condaenv & full docker env (#668) (084dd6d)
- diff mode fix (#569) (0c509f5)
- display LLM prompt (#676) (8c93bba)
- Dynamically find and use sample submission file in eval tests (#542) (5f12b44)
- end-to-end optimization (#473) (d41343a)
- Enhance eval script with file cleanup and detailed submission checks (#529) (cf2ff92)
- exclude invalid session log folder (#554) (fa86e4d)
- improve the framework's ability to adaptively adjust the model (#629) (93806f3)
- independent use_azure_token_provider on chat and embedding (#452) (d223004)
- integrate azure deepseek r1 (#591) (e79ce5c)
- kaggle refactor (#489) (1b057d0)
- kaggle: several update in kaggle scenarios (#476) (245d211)
- loader prompt & simplify YAML loading and update data loader specifications (#736) (86f8bbf)
- make spec optional (#719) (a16b70f)
- Make system prompt role customizable in LLM settings (#632) (e4acd92)
- multi log folder, replace "epxx" in workspace path (#555) (8a69c9c)
- new exp gen v2 implementation (#725) (5dcc2d5)
- new-york-city-taxi-fare-prediction_template (#488) (a9caab7)
- out spec change for o1-preview (#666) (22894bd)
- refactor for general data science (#498) ([7002dc4](https://github.com/microsof...
v0.3.0
0.3.0 (2024-10-21)
Features
- add a new template for kaggle (#289) (eee3ab5)
- add download submission.csv button for kaggle scenario (#317) (dcdcbe4)
- add kaggle command (#271) (0938394)
- add kaggle tpl: feedback-prize (#331) (a288e39)
- add more templates for kaggle (#291) (da752ec)
- add normal rag into framework (#360) (91b0b1f)
- add qlib_factor_strategy (#307) (f8f59ff)
- Add ranking in kaggle scenario (#401) (b16b4be)
- Add runtime measurement for each step and loop in RDLoop. (#281) (83058c8)
- add s3e11 kaggle template (#324) (8c57524)
- Added RepoAnalyzer to empower auto-summary of a workspace (#264) (0bd349a)
- Added support for loading and storing RAG in Kaggle scenarios. (#269) (c4895de)
- announce Discord and WeChat (#367) (acac507)
- auto submit result after one kaggle RDLoop (#345) (ab55d70)
- better feedback & evaluation (#346) (cc9a8c1)
- Dynamic scenario based on task (#392) (665a037)
- Factor Implement Search Enhancement (#294) (4ecf25f)
- Feature selection v3 to support all actions (#280) (0047641)
- fix some bugs and add original features' description (#259) (1a5f45a)
- get kaggle notebooks & disscussion text for RAG (#371) (cead345)
- Iceberge competition (#372) (c10ea4f)
- implement isolated model feature selection loop (#370) (cf1292d)
- Initial version if Graph RAG in KAGGLE scenario (#301) (fd3c0fd)
- Integrate RAG into the Kaggle scenarios. (#262) (be0e48a)
- Kaggle loop update (Feature & Model) (#241) (4cf22a6)
- kaggle templates related (#287) (785fdc1)
- Model context for tuning and selection (#284) (f2831e7)
- Modify FactorRowCountEvaluator and FactorIndexEvaluator to return the ratio (#328) (8f43f8e)
- New competition - Optiver (#356) (3705efe)
- random forest for s3e11 (#347) (b57846d)
- refine the code in model description and fix some bugs in feedback.py (#288) (5b124d7)
- refine the template in several Kaggle competitions (#343) (034f238)
- Revise to support better hypothesis proposal (#390) (c55ec0a)
- show workspace in demo (#348) (ddf567c)
- support Multi output (#330) (3d36c45)
- Supporting COVID-19 competition (#374) (a1b63db)
- supporting Mnist competition (#375) (e958a34)
- Supporting Model Specifications (#319) (e126471)
- supporting various Kaggle competitions & scenarios for RD-Agent (#409) (75eea22)
- template for kaggle (#308) (ff97cf0)
- use auto gen seed when using LLM cache (#441) (ca15365)
- use unified pickle cacher & move llm config into a isolated config (#424) (2879ecf)
- xgboost gpu accelerate (#359) (56a5b8f)
Bug Fixes
- a bug of developer& edit s4e8 template (#338) (f12ce72)
- actively raised errors aer also considered as negative feedback. (#268) (46ec908)
- bug of saving preprocess cache files (#310) (5fb0608)
- cache (#383) (f2a6e75)
- change css tag of kaggle competition info crawler (#306) (1e3d38b)
- debug dsagent (#387) (8fe9511)
- eval_method cannot catch run factor error (#260) ([2aaab31](https://github.com/microsoft/RD-Agent/com...
v0.2.1
v0.2.0
0.2.0 (2024-09-07)
Features
- add collect info (#233) (89f4af9)
- add cross validation for kaggle scenario (#236) (e0b03ba)
- add progress status for docker env (#215) (538d4ef)
- Added loop code for Kaggle scene. (#211) (975c327)
- Demo display effect and usage (#162) (8cf122a)
- piloting of the framework (#227) (e9b103e)
- support more models for kaggle scenario (#223) (e3a9659)
- update model_experiment.py to support basic EDA (#220) (bf2684c)
Bug Fixes
v0.1.0
v0.0.1
0.0.1 (2024-08-08)
Features
- Add description for scenario experiments. (#174) (fbd8c6d)
- Added QlibFactorFromReportScenario and improved the report-factor loop. (#161) (882c79b)
- filter feature which is high correlation to former implemented features (#145) (e818326)
- Remove redundant 'key steps' section in frontend scene display. (#169) (e767005)
- streamlit webapp demo for different scenarios (#135) (d8da7db)
- Uploaded Documentation, Updated Prompts & Some Code for model demo (#144) (529f935)
Bug Fixes
- Add framework handling for task coding failure. (#176) (5e14fa5)
- Comprehensive update to factor extraction. (#143) (b5ea040)
- first round app folder cleaning (#166) (6a5a750)
- fix pickle problem (#140) (7ee4258)
- fix release CI (#165) (85d6a5e)
- fix release CI error (#160) (1c9f8ef)
- fix several bugs in data mining scenario (#147) (b233380)
- fix some small bugs in report-factor loop (#152) (a79f9f9)
- fix_release_ci_error (#150) (4f82e99)
- Fixed some bugs introduced during refactoring. (#167) (f8f1445)
- optimize some prompts in factor loop. (#158) (c2c1330)
Miscellaneous Chores
- release 0.0.1 (1feacd3)