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v24.02.0 release
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@YanxuanLiu YanxuanLiu released this 21 Mar 23:45
· 47 commits to branch-24.04 since this release
v24.02.0
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Release notes:

  • Support feature standardization in logistic regression for dense vectors.
  • Add large scale synthetic sparse data generation for logistic regression testing.
  • Fix tol=0 in KMeans
  • Add sparse vectors to logistic regression notebook example.
  • Update RAPIDS dependencies to 24.02.
  • Known Issue: RandomForest training will throw an exception if the label column takes on only a single value. This will be fixed in 24.04.

pip package available at https://pypi.org/project/spark-rapids-ml/24.02.0/

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