問題文
A practitioner replaces a scikit-learn linear regression with the cuML equivalent. What does the documentation say about the shape of the resulting code?
選択肢
- The estimator must be compiled into a device-specific plan before it can be fitted, and the plan has to be rebuilt whenever the number of rows changes, which is why the interface adds a preparation step that has no counterpart on the processor side.
- Inference requires re-fitting the estimator on the test split.
- The estimator is constructed with parameters, trained with a fitting call, and used for inference with a prediction call, mirroring the familiar interface.
- The data must be converted to a plain list before fitting.