chore: rename ens_and_decision (#541)

* rename ens_and_decision

* clarify workflow prompt

* rename

rdagent/components/coder/data_science/raw_data_loader/prompts.yaml

@@ -188,7 +188,7 @@ spec:
     ensemble: |-
       Ensemble specification text adhere to the following requirements:
       1. Function Interface:
-        - Function Name: `ens_and_decision`
+        - Function Name: `ensemble_workflow`
         - Parameters:
           - `test_preds_dict` (Dict[str, DT]): A dictionary of test predictions from different models. The key is the model file name.
           - `val_preds_dict` (Dict[str, DT]): A dictionary of validation predictions from different models. The key is the model file name.
@@ -248,9 +248,14 @@ spec:
           - Integrate the following components into the workflow:
             - Data loading (`load_data.py`).
             - Feature engineering (`feature.py`).
-            - Model workflow for training and testing (`model_*.py`).
-            - Ensemble and decision-making (`ensemble.py`).
+            - Model workflow for training and testing (`model_*.py`). 
+            - Ensemble workflow that combines results from the model workflow to obtain the final prediction (`ensemble.py`).
           - Treat each component as a modular and callable Python function.
+          - The workflow script should be flexible enough to handle either a single model or multiple models, with filenames (model_*.py) that are not determined at the outset.
+            For multiple model selection, utilize Python code to identify eligible models based on filenames, for example:
+            ```python
+            available_models = [f for f in os.listdir('.') if f.startswith('model_') and 'test' not in f]
+            ```
         2. Feature Engineering
           - The feature engineering should be called only once. For example:
             `X_transformed, y_transformed, X_test_transformed = feat_eng(X, y, X_test)`
@@ -284,11 +289,11 @@ spec:
               test_X=test_X
           )
           {% endfor %}
-          final_pred = ens_and_decision(test_preds_dict, val_preds_dict, val_y)
+          final_pred = ensemble_workflow(test_preds_dict, val_preds_dict, val_y)
           {% endraw %}
 
         {% if latest_spec %}
-        5. Former Specification:
+        7. Former Specification:
           {{ latest_spec }}
           You should follow the provided specifications to improve this task.
         {% endif %}