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first version of model runner and model feedback (#70)

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* 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

---------

Co-authored-by: Xisen Wang <118058822+Xisen-Wang@users.noreply.github.com>
This commit is contained in:
Xu Yang
2024-07-16 10:33:53 +08:00
committed by GitHub
parent 947e52bacd
commit be2c19307e
19 changed files with 369 additions and 154 deletions
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rdagent/app/qlib_rd_loop/model.py
+1 -1
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@@ -25,7 +25,7 @@ hypothesis2experiment: Hypothesis2Experiment = import_class(PROP_SETTING.qlib_mo
qlib_model_coder: TaskGenerator = import_class(PROP_SETTING.qlib_model_coder)(scen)
qlib_model_runner: TaskGenerator = import_class(PROP_SETTING.qlib_model_runner)(scen)
qlib_model_summarizer: HypothesisExperiment2Feedback = import_class(PROP_SETTING.qlib_model_summarizer)()
qlib_model_summarizer: HypothesisExperiment2Feedback = import_class(PROP_SETTING.qlib_model_summarizer)(scen)
trace = Trace(scen=scen)
for _ in range(PROP_SETTING.evolving_n):