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

* 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>

rdagent/core/evolving_agent.py

@@ -32,7 +32,7 @@ class RAGEvoAgent(EvoAgent):
         with_feedback: bool = True,
         knowledge_self_gen: bool = False,
     ) -> EvolvableSubjects:
-        for _ in tqdm(range(self.max_loop), "Implementing factors"):
+        for _ in tqdm(range(self.max_loop), "Implementing"):
             # 1. knowledge self-evolving
             if knowledge_self_gen and self.rag is not None:
                 self.rag.generate_knowledge(self.evolving_trace)