Release notes:

• Double precision support for GPU accelerated logistic regression.
• Added GPU accelerated IVF-Flat Approximate Nearest Neighbor (ANN) to benchmarking scripts.
• Improved throughput of GPU accelerated IVF-Flat ANN for large data sets.
• Update of RAPIDS dependencies to 24.06.

NOTE: For a large number of feature/input columns in float64 type, please use VectorUDT or array type (as opposed to multiple scalar columns) for all algorithms due to a performance issue. This will be resolved in our 24.08 release.

pip package available at https://pypi.org/project/spark-rapids-ml/24.06.0/