chore(main): release 0.4.0

[you-n-g]

🤖 I have created a release beep boop

0.4.0 (2025-03-21)

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 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 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 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 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)
• Make system prompt role customizable in LLM settings (#632) (e4acd92)
• multi log folder, replace "epxx" in workspace path (#555) (8a69c9c)
• new-york-city-taxi-fare-prediction_template (#488) (a9caab7)
• out spec change for o1-preview (#666) (22894bd)
• refactor for general data science (#498) (7002dc4)
• refine logic for qlib_factor_from_report (#463) (21348d8)
• run benchmark on gpt-4o & llama 3.1 (#497) (64af0b5)
• summary and UI update (#581) (efa51f9)
• template changes for some kaggle competitions (#484) (2e38000)
• variable printing tool of data_science coder testing (#658) (116c061)

Bug Fixes

• a default conf in scen qlib (#503) (d64a228)
• a small bug in exp_gen (#606) (f734dde)
• add check when retrying gen model codes (#699) (3b82f15)
• add DSExperiment type check and directory validation in log proc… (#535) (f59b12c)
• add ensemble test, change to "use cross-validation if possible" in workflow spec (#634) (acc97a8)
• add force parameter for cache_with_pickle & using cache when get kaggle leaderboard (#687) (c8841e5)
• add retry mechanism for GPU device check in DockerEnv (#573) (a780cfb)
• add scores.csv checking in ensemble_test (#567) (01808b4)
• add stdout context length setting and improve text shrinking logic (#559) (4ac26a6)
• align components' name (#701) (295a114)
• auto continue small bug (#598) (75eaecf)
• avoid try-except in ensemble eval prompts (#637) (5c58d6e)
• avoid warning for missing llama installation when not in use (#509) (5ec3422)
• change devault to default (#688) (7f401cd)
• change ensemble test (#622) (5de3595)
• change summary info of log folder (#552) (0eb258d)
• clarify an ambiguous explanation (#705) (5dbfc68)
• clarify cross_validation (#644) (906993e)
• coder prompt & model test text (#583) (0a41227)
• correct the configuration inheritance relationship (#671) (30b1ff8)
• default emb model (#702) (4329a72)
• direct_exp_gen to json_target_type in DSExpGen class (#661) (428b74a)
• docker error will trigger retry and data science runner loop set to 3 (#602) (ad785e0)
• ensure expected type (#593) (098a9a6)
• filter empty log traces in ds UI (#533) (1a2057c)
• fix a bug in cross validation (#618) (05a4f10)
• fix a bug in ensemble test script (#713) (ad32100)
• fix a bug in initial tasks (#635) (edb552e)
• fix a bug in kaggle conf (#459) (b4ed32b)
• fix a bug in progress_bar filter (#712) (ba5a84d)
• fix a bug in proposal (add last loop's exception to last task desc) (#596) (419186f)
• fix a bug in threshold score display (#592) (0b0a2dc)
• fix a bug related to model_name in ensemble (#692) (c6ce473)
• fix a minor bug (#694) (1405d8d)
• fix an error in model_coder prompt (#690) (4528826)
• fix combined_factors_df.pkl not loading in docker (#697) (3984b99)
• fix docs build error (#711) (c9e1d32)
• fix ExtendedSettingsConfigDict does not work (#660) (3a877f3)
• fix some bugs (ensemble output, HPO, model tuning) (#648) (818ee29)
• fix some bugs in the ensemble component (#595) (c0990ab)
• fix some bugs in workflow unit test (#624) (f845dcc)
• fix some description errors in direct_exp_gen (#698) (dfaacb6)
• fix some minor bugs and add AutoML & cross-validation (#604) (18c5ef2)
• fix submission file search and add TODO in env.py (#544) (54d930e)
• fix task return dict with wrong format (#558) (2008244)
• fix the errors in the coder and evaluator of the five components (#576) (c487f83)
• handle division by zero in percentage calculations (#550) (de16c91)
• handle invalid regex patterns in filter_progress_bar function (#579) (b0daee0)
• Handle ValueError when resolving relative path for uri (#585) (4c7765a)
• include data information in cache key generation (#566) (26dda46)
• keep some txt files (#557) (54aba85)
• mle_score save problem (#674) (ca2e478)
• move docker timeout message to __run() (#620) (585f4f9)
• move mlebench check into runner (#556) (b0f7965)
• move next_component_required logic to DSTrace class and accurate implement (#612) (c20d311)
• patching weird azure deployment (#494) (89c50ae)
• qlib and other scenario bugs (#636) (98de31d)
• refine prompt to generate the most simple task in init stage (#546) (9d6feed)
• replace API call with build_cls_from_json_with_retry function (#548) (eb72a47)
• return 1D embedding if create_embedding receive a string input (#670) (4a9c318)
• rich.print error when some control char in output (#684) (ec0cb2a)
• Runnable on first complete & Rename method to next_incomplete_component for clarity (#615) (93d9f63)
• runner COSTEER evaluator (#693) (6a379ec)
• save only one mle_score pkl for a running exp (#675) (f87ab67)
• Set default value for 'entry' parameter in Env.run method (#643) (e50d242)
• sort file name for cache reproduction (#588) (7158410)
• sota comparison logic (#608) (3575372)
• target json type & round (#662) (58cb58f)
• templates bug (#456) (434a868)
• trace summary df showing in dsapp (#551) (177096d)
• unzip kaggle data (#464) (3a9fc8e)

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