* 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
* use CoSTEER as component name
* rename factorimplementation to avoid confusion
* rename modelimplementation
* align benchmark and evolving evaluators
* add scenario to evaluator init function
* rename all factorimplementationknowledge in CoSTEER
* remove all scenario related information in component
* remove useless code
---------
Co-authored-by: xuyang1 <xuyang1@microsoft.com>
* Commit init framework
* Co-authored-by: Yuante Li (FESCO Adecco Human Resources) <v-yuanteli@microsoft.com>
Co-authored-by: XianBW <XianBW@users.noreply.github.com>
* add an import
* refine the whole framework
* benchmark related framework
* fix black and isort errors
* move requirements to folder
* fix black again
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Co-authored-by: Young <afe.young@gmail.com>
Co-authored-by: xuyang1 <xuyang1@microsoft.com>
* refine CI script
* refine all the code to higher quality
* refine the script to factor extraction and implementation
* add task loader interface
* add a task loader interface && move pdf analysis to pdf task loader
* change the name to global variables
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Co-authored-by: xuyang1 <xuyang1@microsoft.com>
* reformat factor implement process
* move some code to more reasonable place
* fix the bug
* add test function in factor_extract_and_implement.py
* change select factor number to ratio , add some factor implement setting and fix some bug while using knowledgebase
* change evoagent
* add abstract class EvoAgent
* add benchmark workflow
* fix some bug in llm_utils
* run wenjun's code
* fix the knowledgebase instance check
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Co-authored-by: xuyang1 <xuyang1@microsoft.com>