* 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>
- Implemented generateFeedback()
- Tested to be working
- Added conditional prompts to deal with "1st generation"
- Requires Trace class to have get_last_experiment_info
- Future Todo: Revise Prompts & Turn into YAML
* store code into FBImplementation
* fix path related bugs
* fix a bug
* fix factor related small bugs
* re-submit all model related code
* new code to model coder
* finish the model evolving code
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Co-authored-by: xuyang1 <xuyang1@microsoft.com>
* 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
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Co-authored-by: xuyang1 <xuyang1@microsoft.com>
* update all code
* save code
* update first version of factor proposal
* change a comment
* remove a useless comment
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Co-authored-by: xuyang1 <xuyang1@microsoft.com>
* Initial framework for docker env
* Update test name
* add features
* Download Qlib data with extra_volume
* fix pytest error
* Fix the parameters
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Co-authored-by: Young <afe.young@gmail.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>
* test data load process and fix bug
* fix bug when evaluating
* refine json content
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Co-authored-by: USTCKevinF <fengwenjun@mail.ustc.edu.cn>
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>
Xu Yang