v25.04.0 release
Release notes as follows:
- Updates RAPIDS dependencies to 25.04
- Adds initial version of accelerated Pipeline for special case of VectorAssembler with columnar inputs and any accelerated estimator.
- Adds cpu fallback for estimator fit() invocations with unsupported parameters.
- Adds option to eliminate dataset copies during LogisticRegression data loading.
- Adds a Spark Connect ML Plugin interface implementation targeting Spark 4.0, with support for accelerated LogisticRegression fit, transform and model saving and loading.
pip package available at https://pypi.org/project/spark-rapids-ml/25.04.0/