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String together the entire factor process #64

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String together the entire factor process #64

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8 changes: 4 additions & 4 deletions rdagent/components/proposal/model_proposal.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@ def gen(self, trace: Trace) -> ModelHypothesis:
Environment(undefined=StrictUndefined)
.from_string(prompt_dict["hypothesis_gen"]["system_prompt"])
.render(
targets="factors",
targets="model",
scenario=self.scen.get_scenario_all_desc(),
hypothesis_output_format=context_dict["hypothesis_output_format"],
)
Expand All @@ -45,7 +45,7 @@ def gen(self, trace: Trace) -> ModelHypothesis:
Environment(undefined=StrictUndefined)
.from_string(prompt_dict["hypothesis_gen"]["user_prompt"])
.render(
targets="factors",
targets="model",
hypothesis_and_feedback=context_dict["hypothesis_and_feedback"],
RAG=context_dict["RAG"],
)
Expand Down Expand Up @@ -74,7 +74,7 @@ def convert(self, hypothesis: Hypothesis, trace: Trace) -> ModelExperiment:
Environment(undefined=StrictUndefined)
.from_string(prompt_dict["hypothesis2experiment"]["system_prompt"])
.render(
targets="factors",
targets="model",
scenario=trace.scen.get_scenario_all_desc(),
experiment_output_format=context["experiment_output_format"],
)
Expand All @@ -83,7 +83,7 @@ def convert(self, hypothesis: Hypothesis, trace: Trace) -> ModelExperiment:
Environment(undefined=StrictUndefined)
.from_string(prompt_dict["hypothesis2experiment"]["user_prompt"])
.render(
targets="factors",
targets="model",
target_hypothesis=context["target_hypothesis"],
hypothesis_and_feedback=context["hypothesis_and_feedback"],
target_list=context["target_list"],
Expand Down
2 changes: 1 addition & 1 deletion rdagent/scenarios/qlib/prompts.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,7 @@ model_experiment_output_format: |-
"variable or function name 1": "description of variable or function 1",
"variable or function name 2": "description of variable or function 2"
}
"model_type": "type of model 1, Tabular or TimesSeries"
"model_type": "type of model 1, Tabular or TimesSeries" # Should be one of "Tabular" or "TimeSeries"
}
# Don't add ellipsis (...) or any filler text that might cause JSON parsing errors here!
}
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