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CHANGELOG.md

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Release 0.4.1

  • xgboost fix output_margin parameter #834
  • Downgrade LightGBM to last stable version(2.2.x)

Release 0.4.0

  • ARMA/ARIMA #797
  • Random state seed for matrix factorization #803
  • Update xgboost while keeping an old version(0.9) to allow convert old pickled model #822
  • Update lightgbm
  • Remove a lot dependencies and make them less strict #826 #800
  • CUDA-10.1 support
  • Various bug fixes and dependencies update

Release 0.3.2

  • Fix K-means demo for multi-GPU #630
  • CUDA-10
  • Use gcc to build LightGBM on ppc64le

Release 0.3.1

  • Fix memory leak #175 #204
  • Static linking with CUDA dependencies
  • CUDA forward compatibility
  • Update NCCL to 2.4
  • Update arrow to 0.12.0
  • Update XGBoost
  • Update numpy, scipy and scikit-learn
  • Add experimental Matrix Factorization #729

Release 0.3.0

  • Conda build added
  • Power 8 and Power 9 builds
  • cuda8, cuda9, cuda92 builds
  • Include LightGBM in cpu and gpu modes
  • Update XGBoost
  • Updates for pygdf/arrow and update associated demo notebooks
  • Various bug fixes

Release 0.2.0

  • R API
  • Intel DAAL initial support
  • tSVD improvements

Release 0.1.0

New algorithms:

  • Truncated SVD
  • PCA

Improvements to existing algorithms:

  • KMeans|| for KMeans
  • Performance improvements for KMeans
  • Performance improvements for XGBoost