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fix: fix some minor bugs and add AutoML & cross-validation (#604)

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* fix some complex sentences

* add AutoML in model and cross-validation in workflow
This commit is contained in:
Yuante Li
2025-02-17 19:14:50 +08:00
committed by GitHub
parent fd27842a98
commit 21d88f38d0
3 changed files with 9 additions and 7 deletions
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rdagent/components/coder/data_science/raw_data_loader/prompts.yaml
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@@ -23,15 +23,15 @@ spec:
The specifications for each step should be tailored to the competition information provided.
Your specification should consists two parts:
1. The function definition in code format with detailed annotation to each parameter and return value.
2. A correct, concise, and complete docstring to the function that explains the purpose of the function, the input parameters, and the output.
3. Additional information or notes that the coder should consider while implementing the function.
Your specifications should not include any code implementation, only the function definition and docstring.
1. The function definition in code format, including type annotations and a clear, complete docstring that describes the function's purpose, input parameters, return value, and any relevant exceptions.
2. Additional information or notes that the coder should consider while implementing the function.
Your specifications should include only the function definition and docstring, without any code implementation or inline comments.
----------- Competition Information -----------
{{ competition_info }}
-----------Folder Description (All path are relative to the data folder) ---------
----------- Folder Description (All path are relative to the data folder) ---------
- Ensure that all columns in sample_submission can be generated.
{{ folder_spec }}