* rename meta_tpl
* use a isolated coder to deal with model feature selection and refine the structure
* fix CI
* fix: fix some errors in scenario.py, proposal.py and runner.py and several complex competition scenarios(#365)
* fix several bugs in proposal and runner
* fix a bug in feedback-prize-english-language-learning
* fix some bugs and templates
* fix the bug in optiver and nlp problem
* delete unnecessary codes
* remove unnecessary codes
* complete forest and s4e8
* push
* feedback & s4e8 & forest
* optiver finished
* s3e11 & s3e26
* s4e9 finished
* sf-crime finished
* the last one finished
---------
Co-authored-by: WinstonLiyt <104308117+WinstonLiyt@users.noreply.github.com>
Co-authored-by: WinstonLiyte <1957922024@qq.com>
* add qlib_factor_strategy
* refine the code of action choosing
* fix a bug
* feat: template for kaggle (#308)
* init for s3e26
* ci issue
* fix a small bug in model runner which might cause error when model is the first try (#309)
* update
---------
Co-authored-by: Haoran Pan <167847254+TPLin22@users.noreply.github.com>
Co-authored-by: Xu Yang <peteryang@vip.qq.com>
* 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
* 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>
* 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>
WinstonLiyt