* simplify RDAgent conf
* add unified cacher(untested)
* fix small bugs
* fix a bug
* fix a small bug in runner
* use hash_key = None to skip cache
* fix CI
* in factor execution, ignore cache when raise exception
* add file locker to avoid mp calling
* fix CI
* use function __module__ name as folder in cache
1. when facing odd v2_query_component_limit, make from gt bigger than without gt
2. do code evaluator even value does not pass
3. provide the value header to value failed evaluators
* 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
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Co-authored-by: WinstonLiyt <104308117+WinstonLiyt@users.noreply.github.com>
Co-authored-by: WinstonLiyte <1957922024@qq.com>
* remove AttributeError caused by select_threshold
* develop with ground truth
* raise exception for eval_case
* Revert "develop with ground truth"
This reverts commit e68c136588685476f32a3c3696a6a33deb47acc5.
* Modify FactorRowCountEvaluator and FactorIndexEvaluator to return the ratio
* reformatted by black
* Set the threshold for FactorIndexEvaluator to 0.99
* Apply suggestions from code review
* Update rdagent/components/coder/factor_coder/CoSTEER/evaluators.py
* geometric mean for format_succ_rate
* no need to check when similarity is high enough
* black reformat
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Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
* Search enhancement
* refactor: reorganize imports for consistency with isort
* reformatterd by black
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Co-authored-by: Tim <illking@foxmail.com>
* Add runtime measurement for each step and loop in RDLoop.
* refine some codes
* refine the code (#276)
* show variables only when it exists (#277)
* fix: support seed and fix absolute path (#278)
* fix: support seed and fix absolute path
* Absolute path
* lint
* fix: improve_execution_time_in_kaggle_loop (#279)
* improve_execution_time_in_kaggle_loop
* fix CI
* fix CI
* fix CI
* fix: Update runner.py to fix a small bug (#282)
* fix: Update runner.py to fix a small bug
* fix CI
* refine the code
* Update loop.py
* Update rd_loop.py
* Update model_xgb.py
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Co-authored-by: XianBW <36835909+XianBW@users.noreply.github.com>
Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
Co-authored-by: Xu Yang <peteryang@vip.qq.com>
* 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
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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
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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>
* 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
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Co-authored-by: Taozhi Wang <taozhi.mark.wang@gmail.com>
Co-authored-by: Xisen-Wang <xisen_application@163.com>
WinstonLiyt