v23.04.0 release
·
70 commits
to branch-23.06
since this release
This release includes:
- Getting started guide and benchmarking scripts on GCP dataproc
- Getting started guide on AWS EMR
- cpu method to convert Spark RAPIDS ML generated models to Spark ML models
- Eliminating the need for CUDA on the driver node
- Example notebook for k-NN
- Spark 3.4 compatibility
- Updating RAPIDS dependencies to 23.04
pip package available at https://pypi.org/project/spark-rapids-ml/23.4.0/