Fixing Regression Evaluation Output for DataFrame Results

Summary

This brief troubleshooting exchange concerns an incorrect regression evaluation result in a BigQuant workflow. The user reports that the input data is correct, and the response identifies the final output step of a custom Python module as the issue: because the result is a DataFrame, the module should write it with the platform’s DataFrame output method.

The exchange provides a narrow integration fix rather than an explanation of regression metrics or model evaluation. It gives no code, diagnostic procedure, or evidence that the change resolved the reported error beyond the user acknowledging the suggestion. The advice applies when a custom module returns a DataFrame and its output writer expects the matching data structure; other causes of evaluation errors are not discussed.

Key ideas

• A custom Python module returning a DataFrame needs to use the corresponding DataFrame write method.
• The reported input data was considered correct, so the suggested fix targeted output handling.
• The exchange does not explain regression evaluation metrics or establish that the suggested change resolved the error.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.