aglinxinyuan opened a new pull request, #5956: URL: https://github.com/apache/texera/pull/5956
### What changes were proposed in this PR? Pin behavior of nine previously-untested Sklearn **training** operator descriptors in `common/workflow-operator`. No production-code changes. | Spec | Source class | | --- | --- | | `SklearnTrainingSVMOpDescSpec` | `SklearnTrainingSVMOpDesc` | | `SklearnTrainingLinearSVMOpDescSpec` | `SklearnTrainingLinearSVMOpDesc` | | `SklearnTrainingKNNOpDescSpec` | `SklearnTrainingKNNOpDesc` | | `SklearnTrainingNearestCentroidOpDescSpec` | `SklearnTrainingNearestCentroidOpDesc` | | `SklearnTrainingRidgeOpDescSpec` | `SklearnTrainingRidgeOpDesc` | | `SklearnTrainingRidgeCVOpDescSpec` | `SklearnTrainingRidgeCVOpDesc` | | `SklearnTrainingDummyClassifierOpDescSpec` | `SklearnTrainingDummyClassifierOpDesc` | | `SklearnTrainingMultiLayerPerceptronOpDescSpec` | `SklearnTrainingMultiLayerPerceptronOpDesc` | | `SklearnTrainingProbabilityCalibrationOpDescSpec` | `SklearnTrainingProbabilityCalibrationOpDesc` | **Behavior pinned** (shared `SklearnTrainingOpDesc` contract) | Surface | Contract | | --- | --- | | `operatorInfo` | exact model name (`Training: <model>`) + `Sklearn <name> Operator` description; **Sklearn Training** group; single `training` input port; one blocking output | | field defaults | `countVectorizer`/`tfidfTransformer` `false`; `target`/`text` `null` | | `getOutputSchemas` | `model_name` (STRING) + `model` (BINARY) keyed by the declared output port | | `generatePythonCode` | imports the matching sklearn estimator and builds the `make_pipeline(...).fit(X, Y)` training model | | Round-trip | config fields preserved through the polymorphic `LogicalOp` base, with the correct `operatorType` discriminator | ### Any related issues, documentation, discussions? Part of the ongoing `workflow-operator` unit-test coverage effort (the training-side counterpart to the Sklearn classifier coverage in #5925/#5939/#5940/#5941/#5945/#5946/#5951). ### How was this PR tested? - `sbt "WorkflowOperator/testOnly org.apache.texera.amber.operator.sklearn.training.*"` — 45 tests, all green - `sbt "WorkflowOperator/Test/scalafmtCheck"` and `sbt "WorkflowOperator/scalafixAll --check"` — clean - CI to confirm ### Was this PR authored or co-authored using generative AI tooling? Generated-by: Claude Code (Opus 4.8 [1M context]) -- 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]
