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)
• fix a bug in competition metric evaluation (#407) (94c47d6)
• fix a bug in mini case (#389) (e75bb57)
• fix a bug in model tuning feedback (#316) (8aa088d)
• fix a bug in scenario.py (#388) (999a1eb)
• fix a bug in the format of the model input (#327) (8f0574e)
• fix a small bug in cache using module name and function name as unique folder name (#429) (4f8134a)
• fix a typo (#362) (9fafabd)
• fix cache result logic (#430) (5e34263)
• fix command injection (#421) (52f30a6)
• fix json load error (#386) (bba55fb)
• fix some bugs in feedback.py and refine the prompt (#292) (d834052)
• fix some bugs in knowledge base (#378) (fa6ff8e)
• fix some bugs in rag (#399) (194215c)
• fix some bugs in the entire loop (#274) (8a564ec)
• fix some errors in scenario.py, proposal.py and runner.py and several complex competition scenarios(#365) (2e383b1)
• improve_execution_time_in_kaggle_loop (#279) (4c8f998)
• kaggle data mount problem (#297) (795df31)
• Optiver fixes (#357) (b054017)
• partial bug in bench (#368) (af9808f)
• preprocess output format & some mistake in spelling (#358) (b8b2cd6)
• rag save file (#385) (1cb01dd)
• raise error in demo when no Metric in a Loop (#313) (e46a78e)
• refactor Bench (#302) (78a87f6)
• refine some codes (#353) (866c2e6)
• refine the prompt (#286) (77966c4)
• refine the ucb algorithm (#406) (14f7d97)
• revert model and make SOTA model available to COSTEER (#351) (3b7437b)
• stop using markup in docker env print (#336) (3009889)
• support seed and fix absolute path (#278) (26352e1)
• template for kaggle foreset & s4e9 (#334) (2393a41)
• test kaggle method (#296) (91a6196)
• update code to fix a small bug in model cache md5 hash (#303) (b00e4dc)
• update new feature engineering code format (#272) (7850b80)
• Update prompts.yaml to constrain only one model type (#341) (5b5dfee)
• Update runner.py to fix a small bug (#282) (8aef3ab)
• Use fixed file name in model costeer & fixing cache (#311) (1f910a5)

Performance Improvements

• some small upgrade to factor costeer to improve the performance (#420) (9eb931f)

Reverts

• Revert feat: Factor Implement Search Enhancement (#294) (#305) (f663cf4)