kz930 opened a new pull request, #8368: URL: https://github.com/apache/texera/pull/8368
### What changes were proposed in this PR? The scikit-learn estimators are fitted on one port and score on the other, so the script holds both frames and narrows each by the same rule: a fit and a score taken on different columns would compare two different models. The four Hugging Face models declare the column types they take, and the iris regression keeps the row when a petal measurement is empty rather than ending the run on it. Sklearn Prediction and Sklearn Testing are reported as unverifiable rather than exported blind: each consumes a fitted model on an input port, and a fixture written from the JVM cannot carry a live Python object. ### Any related issues, documentation, discussions? Part of #8325, 15 of 15. It needs #8327 for the trait, so it does not compile until that lands; the verification rows these operators add to the runner follow with the harness rather than as whole new files here. Closes #8316, closes #8056. ### How was this PR tested? Each operator asserts the block it emits in its own spec. Once the harness lands, each is also run through the engine and through its generated script, on every configuration its schema offers, and the two answers compared. ### Was this PR authored or co-authored using generative AI tooling? Generated-by: Claude Code (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]
