* init a scenario for kaggle feature engineering
* Added support for loading and storing RAG in Kaggle scenarios.
* fix a ci bug
* Add RAG after each experiment's feedback.
* add a promt
* fix a bug
* fix a bug
* add a readme
* refine the code in knowledge loading
* init a scenario for kaggle feature engineering
* add 1st version rag for Kaggle hypo
* refine the code
* fix a bug
* add the process of extracting exp from docs
* Remove the unnecessary file.
* refine the code for ci test
* Delete rdagent/app/kaggle_feature/conf.py
* refine the comments
* Update extract_experience_from_docs.py
* Update extract_experience_from_docs.py
* init a scenario for kaggle feature engineering
* fix some bugs and add original features' description
* refine the process of data downloading
* fix a error
* revert the code
* fix a bug in feedback
* fix a ci bug
* fix a ci bug
* Init todo
* Evaluation & dataset
* Generate new data
* dataset generation
* add the result
* Analysis
* Factor update
* Updates
* Reformat analysis.py
* CI fix
* Revised Preprocessing & Supported Random Forest
* Revised to support three models with feature
* Further revised prompts
* Slight Revision
* docs: update contributors (#230)
* Revised to support three models with feature
* Further revised prompts
* Slight Revision
* feat: kaggle model and feature (#238)
* update first version code
* make hypothesis_gen and experiment_builder fit for both feature and model
* feat: continue kaggle feature and model coder (#239)
* use qlib docker to run qlib models
* feature coder ready
* model coder ready
* fix CI
* finish the first round of runner (#240)
* Optimized the factor scenario and added the front-end.
* fix a small bug
* fix a typo
* update the kaggle scenario
* delete model_template folder
* use experiment to run data preprocess script
* add source data to scenarios
* minor fix
* minor bug fix
* train.py debug
* fixed a bug in train.py and added some TODOs
* For Debugging
* fix two small bugs in based_exp
* fix some bugs
* update preprocess
* fix a bug in preprocess
* fix a bug in train.py
* reformat
* Follow-up
* fix a bug in train.py
* fix a bug in workspace
* fix a bug in feature duplication
* fix a bug in feedback
* fix a bug in preprocessed data
* fix a bug om feature engineering
* fix a ci error
* Debugged & Connected
* Fixed error on feedback & added other fixes
* fix CI errors
* fix a CI bug
* fix: fix_dotenv_error (#257)
* fix_dotenv_error
* format with isort
* Update rdagent/app/cli.py
---------
Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
* chore(main): release 0.2.1 (#249)
Release-As: 0.2.1
* init a scenario for kaggle feature engineering
* delete error codes
* Delete rdagent/app/kaggle_feature/conf.py
---------
Co-authored-by: Young <afe.young@gmail.com>
Co-authored-by: Taozhi Wang <taozhi.mark.wang@gmail.com>
Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
Co-authored-by: cyncyw <47289405+taozhiwang@users.noreply.github.com>
Co-authored-by: Xisen-Wang <xisen_application@163.com>
Co-authored-by: Haotian Chen <113661982+Hytn@users.noreply.github.com>
Co-authored-by: WinstonLiye <1957922024@qq.com>
Co-authored-by: WinstonLiyt <104308117+WinstonLiyt@users.noreply.github.com>
Co-authored-by: Linlang <30293408+SunsetWolf@users.noreply.github.com>
* Initial template
* Updated a bit on the framework
* Revised to enable feat training
* Fixed Accuracy
* fixed mcc
* change some files for feature
* update some logics in feat eng
* update some codes
* update some codes
* Revised further to successfully completed a cycle
* Revised further
* Delete two CSVs
* fix some ci errors
---------
Co-authored-by: Young <afe.young@gmail.com>
Co-authored-by: Xisen-Wang <xisen_application@163.com>
* Update model_experiment.py to support basic eda
It looks into the data first before the proposal.
* Update model_experiment.py
Revised linting
* Update model_experiment.py by fixing sorting order
* Update model_experiment.py for black linting
* Update model_experiment.py
* Update model_experiment.py
* Update model_experiment.py
* Update model_experiment.py
---------
Co-authored-by: WinstonLiyt <104308117+WinstonLiyt@users.noreply.github.com>
* init commit for XGBoost
* fix some bugs
* CI issues
* CI issues
* CI issue
* edit prompts for kaggle scenario & fix some bugs
* Revised Prompts To Improve Performance on Model Type & Support of Random Forest
* edit prompts & modify evaluator.py to adapt to Kaggle scenario
* edit prompts
* fix some bugs
* CI issues
---------
Co-authored-by: Taozhi Wang <taozhi.mark.wang@gmail.com>
Co-authored-by: Xisen-Wang <xisen_application@163.com>
* fuse all code into one commit
* remove container auto
* change remove method
* add kaggle env start
* change kaggle api
* change structure
* add crawler
* add requirements
* refeact the code
* delete mistaken codes
* merge docker settings and crawler
* add chrome install README for crawler usage
* Connect scen with Kaggle to download data
* Reformat some files to pass CI.
* fix some ci errors
* fix a ci error
* fix a ci error
---------
Co-authored-by: Bowen Xian <xianbowen@outlook.com>
* Fixed some bugs introduced during refactoring.
* Add description for scenario experiments.
* Update factor_from_report_w_sc.py
* fix some ci bugs.
* add @property to get_experiment_setting
* fix a ci error.
* Fixed some bugs introduced during refactoring.
* Improved documentation for two factor scenarios.
* Update factor_from_report_w_sc.py
* Improved some details.
* Fixed some bugs introduced during refactoring.
* fix a minor bug
* build factor source data (price and volumns) from qlib if no source data is provided by the user (#168)
* Fixed some bugs introduced during refactoring.
* fix a small bug
* fix a small bug
* Remove redundant 'key steps' section in frontend scene display.
---------
Co-authored-by: Xu Yang <peteryang@vip.qq.com>
* Init todo
* update all code
* update
* Extract factors from financial reports loop finished
* Fix two small bugs.
* Delete rdagent/app/qlib_rd_loop/run_script.sh
* Minor mod
* Delete rdagent/app/qlib_rd_loop/nohup.out
* Fix a small bug in file reading.
* some updates
* Update the detailed process and prompt of factor loop.
* Evaluation & dataset
* Optimize the prompt for generating hypotheses and feedback in the factor loop.
* Generate new data
* dataset generation
* Performed further optimizations on the factor loop and report extraction loop, added log handling for both processes, and implemented a screenshot feature for report extraction.
* Update rdagent/components/coder/factor_coder/CoSTEER/evaluators.py
* Update package.txt for fitz.
* add the result
* Performed further optimizations on the factor loop and report extraction loop, added log handling for both processes, and implemented a screenshot feature for report extraction. (#100) (#102)
- Performed further optimizations on the factor loop and report extraction loop.
- Added log handling for both processes.
- Implemented a screenshot feature for report extraction.
* Analysis
* Optimized log output.
* Factor update
* A draft of the "Quick Start" section for README
* Add scenario descriptions.
* Updates
* Adjust content
* Enable logging of backtesting in Qlib and store rich-text descriptions in Trace. Support one-step debugging for factor extraction.
* Reformat analysis.py
* CI fix
* Refactor
* remove useless code
* fix bugs (#111)
* Fix two small bugs.
* Fix a merge bug.
* Fix two small bugs.
* fix some bugs.
* Fix some format bugs.
* Restore a file.
* Fix a format bug.
* draft renew of evaluators
* fix a small bug.
* fix a small bug
* Support Factor Report Loop
* Update framework for extracting factors from research reports.
* Refactor report-based factor extraction and fix minor bugs.
* fix a small bug of log.
* change some prompts
* improve factor_runner
* fix a small bug
* change some prompts
* cancel some comments
* cancel some comments and fix some bugs
* fix some bugs in factor from reports loop
---------
Co-authored-by: Young <afe.young@gmail.com>
Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
Co-authored-by: Taozhi Wang <taozhi.mark.wang@gmail.com>
Co-authored-by: Suhan Cui <51844791+SH-Src@users.noreply.github.com>
* Added three new keys on hypothesis reasoning
* Updated two scenario rich text
* Uploaded Documentation & Further Improved Demo of Models
* Add docs
---------
Co-authored-by: Young <afe.young@gmail.com>
Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
* Init todo
* update all code
* update
* Extract factors from financial reports loop finished
* Fix two small bugs.
* Delete rdagent/app/qlib_rd_loop/run_script.sh
* Minor mod
* Delete rdagent/app/qlib_rd_loop/nohup.out
* Fix a small bug in file reading.
* some updates
* Update the detailed process and prompt of factor loop.
* Evaluation & dataset
* Optimize the prompt for generating hypotheses and feedback in the factor loop.
* Generate new data
* dataset generation
* Performed further optimizations on the factor loop and report extraction loop, added log handling for both processes, and implemented a screenshot feature for report extraction.
* Update rdagent/components/coder/factor_coder/CoSTEER/evaluators.py
* Update package.txt for fitz.
* add the result
* Performed further optimizations on the factor loop and report extraction loop, added log handling for both processes, and implemented a screenshot feature for report extraction. (#100) (#102)
- Performed further optimizations on the factor loop and report extraction loop.
- Added log handling for both processes.
- Implemented a screenshot feature for report extraction.
* Analysis
* Optimized log output.
* Factor update
* A draft of the "Quick Start" section for README
* Add scenario descriptions.
* Updates
* Adjust content
* Enable logging of backtesting in Qlib and store rich-text descriptions in Trace. Support one-step debugging for factor extraction.
* Reformat analysis.py
* CI fix
* Refactor
* remove useless code
* fix bugs (#111)
* Fix two small bugs.
* Fix a merge bug.
* Fix two small bugs.
* fix some bugs.
* Fix some format bugs.
* Restore a file.
* Fix a format bug.
* draft renew of evaluators
* fix a small bug.
* fix a small bug
* Support Factor Report Loop
* Update framework for extracting factors from research reports.
* Refactor report-based factor extraction and fix minor bugs.
* fix a small bug of log.
* change some prompts
* improve factor_runner
* fix a small bug
* change some prompts
* cancel some comments
* cancel some comments and fix some bugs
---------
Co-authored-by: Young <afe.young@gmail.com>
Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
Co-authored-by: Taozhi Wang <taozhi.mark.wang@gmail.com>
Co-authored-by: Suhan Cui <51844791+SH-Src@users.noreply.github.com>
* Init todo
* Evaluation & dataset
* Generate new data
* dataset generation
* add the result
* Analysis
* Factor update
* Updates
* Reformat analysis.py
* CI fix
* Further Optimised Model Workflow by Incorporating Feedbacks on Exp Task Card
* Rebasing To build the extraction & implementation demo
* Revised for clean code
* Revised further to show "Knowledge"
* Revised to make model_research_copilot better
* Further Optimised Model Workflow by Incorporating Feedbacks on Exp Task Card
* Rebasing To build the extraction & implementation demo
* Revised for clean code
* Revised further to show "Knowledge"
* Revised to make model_research_copilot better
---------
Co-authored-by: Young <afe.young@gmail.com>
Co-authored-by: Taozhi Wang <taozhi.mark.wang@gmail.com>
Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
Co-authored-by: cyncyw <47289405+taozhiwang@users.noreply.github.com>
- A draft of the "Quick Start" section for your README.
- Enable logging of backtesting in Qlib and store rich-text descriptions in Trace.
- Support one-step debugging for factor extraction.
WinstonLiyt