kz930 opened a new issue, #8422: URL: https://github.com/apache/texera/issues/8422
### Task Summary The scikit-learn estimators implement `StandaloneCodeGenerator`. They 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. Sixteenth of the twenty-one steps listed in #8325. It needs #8327 for the trait. The two behaviour changes are filed separately as #8316 and #8056 and close with this work. -- 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]
