v23.10.0 release
Release Notes:
- L1 and elastic net regularization for GPU accelerated distributed LogisticRegression, with notebook example.
- More than 2 classes for GPU accelerated distributed LogisticRegression, with notebook example.
- Optimized fitMultiple api for LogisticRegression.
- Accelerated cross validation for LogisticRegression and log loss.
- Output raw prediction column for logistic regression.
- Updated Databricks init scripts and benchmarking scripts.
- Improved api docs.
- Updated RAPIDS dependencies to 23.10.
NOTE: While the runtime is compatible with Spark versions >= 3.3, some scripts in python/tests/
are not compatible with Spark 3.3. This is addressed in 23.12
pip package available at https://pypi.org/project/spark-rapids-ml/23.10.0/