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

---------

Co-authored-by: Xisen Wang <118058822+Xisen-Wang@users.noreply.github.com>

rdagent/core/task_generator.py

@@ -1,11 +1,9 @@
 from abc import ABC, abstractmethod
-from typing import Generic, List, Sequence, TypeVar
+from typing import Generic, List
 
-from rdagent.core.experiment import Experiment
+from rdagent.core.experiment import ASpecificExp
 from rdagent.core.scenario import Scenario
 
-ASpecificExp = TypeVar("ASpecificExp", bound=Experiment)
-
 
 class TaskGenerator(ABC, Generic[ASpecificExp]):
     def __init__(self, scen: Scenario) -> None: