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v23.08.0 release
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@pxLi pxLi released this 13 Sep 05:48
· 82 commits to branch-23.10 since this release
v23.08.0
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Release Notes:

  • GPU accelerated distributed Logistic Regression with L2 regularization fit and transform, along with benchmarking and Jupyter notebook examples.
  • GPU accelerated distributed Uniform Manifold Approximation and Projection (UMAP) fit and transform for non-linear dimensionality reduction along with benchmarking and Jupyter notebook examples.
  • Stage level scheduling for training on stand-alone clusters.
  • Improved logging.
  • Preserve input column types during transform.
  • Default to float32 inputs to cuML layer.
  • Support conversion of GPU Logistic Regression models to pySpark ML CPU.
  • Improved local benchmarking script.
  • Updated RAPIDS and RAPIDS Accelerator for Spark dependencies to 23.08.

pip package available at https://pypi.org/project/spark-rapids-ml/23.8.0/

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