* init commit
* limit problem numbers
* ensemble lower case
* add runtime and spec to coder
* submission check notice
* sub EDA in sample execution
* avoid lightgbm
* add time limit to scenario
* rephrase the submission check
* give positive feedback when facing warning in check
* ENABLE FEEDBACK
* fix feedback bug
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Co-authored-by: Xu Yang <peteryang@vip.qq.com>
* first framework commit
* idea proposal v2
Co-authored-by: Roland Minrui <RolandMinrui@users.noreply.github.com>
* fix a small bug in v1
* fix a small bug
* add problem to DShypothesis
* use exp gen as unified interface
* merge yuante's code into pr
* fix a small bug in draft
* update all minrui's code
* small update
* fix small bug & remove useless code
* fix return type
* fix CI
---------
Co-authored-by: Xu Yang <peteryang@vip.qq.com>
Co-authored-by: Roland Minrui <RolandMinrui@users.noreply.github.com>
Co-authored-by: Xu <v-xuminrui@microsoft.com>
Co-authored-by: Xu Yang <xuyang1@microsoft.com>
* docs: Update prompts and descriptions for data science components
* chore: Remove outdated comments from conf.py
* feat: Add metric_name attribute to DataScienceScen class
* style: Update description in prompts.yaml and reorder metric_name init
* docs: Update prompts.yaml with feature engineering guidelines
* update metric_name
* fix some bugs
* add an evaluation in workflow
* add an evalution in runner
* fix ci
* test change
* fix CI
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Co-authored-by: TPLin22 <tplin2@163.com>
Co-authored-by: yuanteli <1957922024@qq.com>
* feat: Add spec_enabled configuration for data science settings
* make spec alternative
* change spec logic in exp_gen
* remove some general texts
* align
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Co-authored-by: Young <afe.young@gmail.com>
Co-authored-by: yuanteli <1957922024@qq.com>
* prune model task
* add component_description
* add model removal logic to component, hypo, and task gen
* fix ci
* adjust coder to meet the requirement of model removal
* fix and refine the logic of model removal
* add model removal logic in model_eval
* fix ci
* fix ci
* prune some unnecessary codes
* use conda to run kaggle and mlebench code
* refactor: Simplify environment configuration and execution logic
* add setting to use local env in ds
* refine dockerfile
* fix: Move MLEBDockerEnv initialization inside conditionals & fix condaenv
* refactor: reformat code for better readability and consistency
* feat: add conda env to all envs.
* fix: fix bugs when run loop
* refactor: Simplify DockerEnv configuration in mle_summary.py
* fix image bug
* style: reformat code for better readability and consistency
* change commit
* feat: Add entrypoint script for sing_docker scenario in rdagent
* refactor: add Any type hints and comments for clarity in env.py
* feat: Create log directory if it doesn't exist in entrypoint script
* feat: Add debug mode and list root directory in entrypoint script
* fix: Remove specific branch checkout in Dockerfile for RD-Agent
* fix: Add competition argument to loop.py script execution
* fix: Correct directory navigation and dependency installation in entrypoint.sh
* fix: Correct user ownership assignment in entrypoint script
* refactor: Comment out redundant log copying to RD_OUTPUT_DIR
* fix: Unset LOG_TRACE_PATH to prevent log contamination in entrypoint.sh
---------
Co-authored-by: Xu Yang <peteryang@vip.qq.com>
* refactor: Rename direct_exp_gen to json_target_type in DSExpGen class
* fix type
* fix: Adjust loop iterations and update json_target_type for nested dicts
* move cache auto continue and retry to all api backend
* add type checker to json mode output
* fix CI
* feat: Add json_mode handling and streaming support in chat completion function
* lint
* fix a bug when returning a dict which value could contain int or bool
* remove litellm
---------
Co-authored-by: Xu Yang <xuyang1@microsoft.com>
Co-authored-by: Young <afe.young@gmail.com>
* refactor: Update type annotations and remove unused class in evolving modules
* refactor: Simplify evolving agent and feedback handling in CoSTEER module
* lint & CI
* mypy
* ruff for core
* mypy
* refactor: remove unnecessary comments and update feedback handling logic
* refactor: Add prev_task_feedback parameter to evolving strategies
* feat: Clear folder before extracting zip file in DockerEnv
* fix: Correct retrieval of last experiment from history
* allow the LLM in the ensemble to focus on the significance of metrics
* fix a bug in feedback
* prun spec
* fix a bug in ensemble
* delete unnecessary prompts
* fix the logic in spec
* generalize dataset split
Roland Minrui