kz930 opened a new pull request, #8070: URL: https://github.com/apache/texera/pull/8070
### What changes were proposed in this PR? The Machine Learning Scorer handed both configured columns straight to scikit-learn's metric functions, so one empty cell reached them as a None and ended the run with "Classification metrics can't handle a mix of unknown and binary targets". The message named neither the column nor a way out, and no configuration could exclude the row. The operator now drops the rows missing either value before scoring, the way the visualization operators drop missing values before plotting. The subset names both columns rather than dropping on each separately: dropping on either alone would leave y_true and y_pred misaligned. ### Any related issues, documentation, discussions? Closes #8058 ### How was this PR tested? A new case in MachineLearningScorerOpDescSpec pins the drop in the generated code. Run by hand on a table with a blank in the actual-value column and a blank in the predicted-value column: before, the run ended with the ValueError above; after, it reports Accuracy 0.6667 over the three scorable rows. ### Was this PR authored or co-authored using generative AI tooling? Generated-by: Claude Code (Claude Opus 5) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
