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

0.2.1 (2024-09-10)

Bug Fixes

• default model value in config (#256) (c097585)
• fix_dotenv_error (#257) (923063c)
• readme (#248) (8cede22)

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

• fix some bugs in llm calling (#217) (7b010f8)
• package dependency. (#234) (46be295)
• remove useless line (#177) (64e9a8e)

v0.1.0

0.1.0 (2024-08-09)

Features

• add entry for rdagent. (#187) (121b6d9)
• change ui entry (#197) (fa5d335)
• remove pdfs and enable online pdf readings (#183) (18c0501)

Bug Fixes

• Fix a fail href in readme (#189) (1b89218)
• fix quick start problem (#191) (44f61bf)
• update command line in readme.md (#192) (9c45d24)

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)