NVIDIA/cuml-spark v25.06.0

v25.06.0 release

Repository: NVIDIA/cuml-spark

Tag: v25.06.0

Published: 2025-07-25T01:00:59Z

Prerelease: no

Release notes: Release notes as follows:

• Updates RAPIDS dependencies to 25.06
• Spark Rapids Connect ML plugin improvements:
• Extends Spark Rapids Connect ML plugin to support accelerated KMeans, LinearRegression, RandomForest regression and classifiction, and PCA.
• Adds runtime spark configs for verbose, float32_inputs, num_workers to allow these to be set over spark connect when using the accelerated plugin.
• improves transfer of RandomForest models from python to jvm
• Bundles plugin jar for Spark 4.0 in pip package.
• bug fixes in UMAP and in LogisticRegression on large datasets

Known issues:

• RandomForest inference:
• may fail on nodes with multiple GPUs. Convert via cpu() api for cpu based inference as a work around.
• may fail for very wide inputs (e.g. > 10000 features).
• CrossValidator for RandomForest over Spark Connect will fail in Spark 4.0. Fix pending in Spark 4.1

pip package available at https://pypi.org/project/spark-rapids-ml/25.06.0/