Enable zero-code-change GPU acceleration of sklearn TargetEncoder through cuml.accel, providing significant performance improvements for categorical feature engineering.

This is a component commonly used in ML workflows by the Kaggle team. Support of this component would enable the Kaggle team to rely (almost) exclusively on cuml.accel for acceleratoin.

An initial analysis of feasibility and complexity was recorded in #5280 .