* several improvement on kaggle loop
* small refinement on prompt
* fix bugs
* add the score of each model in every experiment
* fix ci error
* fix error in ventilator tpl
* fix CI
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Co-authored-by: Xu Yang <xuyang1@microsoft.com>
Co-authored-by: Bowen Xian <xianbowen@outlook.com>
Co-authored-by: WinstonLiye <1957922024@qq.com>
Co-authored-by: TPLin22 <tplin2@163.com>
* udpate plot
* log and reduce token
* trace tag
* add simple_background parameter to get_scenario_all_desc
* update trace
* update first version code
* chat model map
* add annotation for stack index
* add annotation
* reformatted by black
* several update on kaggle scenarios
* update some new change
* fix CI
* fix CI
* fix a bug
* fix bugs in graph RAG
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Co-authored-by: Tim <illking@foxmail.com>
* 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
* ignore result csv file
* fix app scripts
* rename taskgenerator to developer and generate to develop
* fix a config bug in coder
* fix a small bug in factor coder evaluators
* remove a single logger in factor coder evaluators
* fix a small bug in model coder main.py
* rename Implementation to Workspace
* move the prepare the inject_code into FBWorkspace to align all the behavior
* fix a small bug in model feedback
* remove debug lines for multi processing and simplify evaluators multi proc
* add a copy function to workspace to freeze the workspace && add config prefix to speed up debugging
* make hypothesisgen a abc class
* use Qlib***Experiment
* fix a small bug
* rename Imp to Ws
* rename sub_implementations to sub_workspace_list
* fix a bug in feedback not presented as content in prompts
* move proposal pys to proposal folder
* reformat the folder
* align factor and model qlib workspace and use template to handle the workspace
* add a filter to evoagent to filter out false evo
* align multi_proc_n into RDAGENT seeting
* handle when runner gets empty experiment
* fix logger merge remaining problems
* fix black and isort automatically
* Implemented model.py
- Need to run within the RDAgent folder (relevant path)
- Each time copy a template & insert code & run qlib & store result back to experiment
* Create model.py
* Create conf.yaml
This is the sample conf.yaml to be copied each time.
This has gone several times of iteration and is now working for both tabular and Time-Series data.
* Create read_exp.py
This is to read the results within Qlib
* Create ReadMe.md
* Update model.py
* Create test_model.py
A testing file that separates model code generation and running&feedback section.
* move the template folder
* help xisen finish the model runner
* help xisen fix improve model feedback generation
* delete debug file
* rename readme.md
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Co-authored-by: Xisen Wang <118058822+Xisen-Wang@users.noreply.github.com>
Xu Yang