* init a scenario for kaggle feature engineering
* update the readme
* Delete rdagent/app/kaggle_feature/conf.py
* update some pictures
* Delete rdagent/app/kaggle_feature/model.py
* change a photo
* add pics to docs
* update the readme
* update the README
* for a try
* for another try
* change the style of the pictures in readme
* fix a small bug
* update the readme and the docs
* update the docs
* fix a typo
* change a website url
* change some styles
* fix a typo
* change the size of the logo
* change two urls
* Update README.md
* Update README.md
* Update README.md
* Update README.md
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Co-authored-by: Linlang <Lv.Linlang@hotmail.com>
* 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