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fix: fix a bug in cross validation (#618)

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* fix a bug in cross_validation

* fix cross-validation prompt position

* fix

* fix

* append all error messages and full traceback details in execution

---------

Co-authored-by: Bowen Xian <xianbowen@outlook.com>
This commit is contained in:
Yuante Li
2025-02-20 16:18:40 +08:00
committed by GitHub
parent 433594297a
commit b64ab18caa
5 changed files with 8 additions and 9 deletions
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rdagent/components/coder/data_science/raw_data_loader/prompts.yaml
+2 -2
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@@ -259,7 +259,7 @@ spec:
3. Dataset Splitting
- The dataset returned by `load_data` is not split into training and testing sets, so the dataset splitting should happen after calling `feat_eng`.
- Choose the splitting methods you deem useful and appropriate based on the `Competition Information`.
- Decide whether to use a **static train-test split** or **cross-validation**, based on what is most suitable given the `Competition Information`.
4. Submission File:
- Save the final predictions as `submission.csv`, ensuring the format matches the competition requirements (refer to `sample_submission` in the Folder Description for the correct structure).
@@ -396,7 +396,7 @@ data_loader_eval:
Your response must follow this structured JSON format:
```json
{
"execution": "Describe how well the data loader executed, including any errors or issues encountered. Retain all error messages and traceback details.",
"execution": "Describe how well the data loader executed, including any errors or issues encountered. Append all error messages and full traceback details without summarizing or omitting any information.",
"return_checking": "Evaluate the correctness and integrity of the loaded data. Check for issues like missing values, incorrect data types, outliers, or formatting inconsistencies.",
"code": "Assess code quality, readability, and adherence to best practices. Consider efficiency, including whether the code utilizes multi-threading or GPU acceleration for faster data loading.",
"final_decision": <true/false>