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feat: Feature selection v3 to support all actions #280

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merged 6 commits into from
Sep 20, 2024
Merged

feat: Feature selection v3 to support all actions #280

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0e7bcff
Update feedback.py to support all actions
xisen-w Sep 19, 2024
8c74032
Update prompts.yaml to support all actions
xisen-w Sep 19, 2024
b9fd3c3
Revised for CI
xisen-w Sep 19, 2024
a3b71f0
CI
xisen-w Sep 19, 2024
021e15d
fix a ci bug
WinstonLiyt Sep 20, 2024
02363cf
fix a ci bug
WinstonLiyt Sep 20, 2024
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@xisen-w
xisen-w committed Sep 19, 2024
commit a3b71f0f0ca074c6adbc47fbd42fbc312d4f6e8d
8 changes: 2 additions & 6 deletions rdagent/scenarios/kaggle/developer/feedback.py
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Original file line number Diff line number Diff line change
Expand Up @@ -71,7 +71,7 @@ def get_model_code(self, exp: Experiment):
return exp.sub_workspace_list[0].code_dict.get("model_nn.py")
else:
return None

def generate_feedback(self, exp: Experiment, hypothesis: Hypothesis, trace: Trace) -> HypothesisFeedback:
"""
The `ti` should be executed and the results should be included, as well as the comparison between previous results (done by LLM).
Expand Down Expand Up @@ -145,11 +145,7 @@ def generate_feedback(self, exp: Experiment, hypothesis: Hypothesis, trace: Trac
}

# Generate the user prompt
usr_prompt = (
Environment(undefined=StrictUndefined)
.from_string(prompt_dict[prompt_key]["user"])
.render(**render_dict)
)
usr_prompt = Environment(undefined=StrictUndefined).from_string(prompt_dict[prompt_key]["user"]).render(**render_dict)

# Call the APIBackend to generate the response for hypothesis feedback
response = APIBackend().build_messages_and_create_chat_completion(
Expand Down
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