MPI4cuML v0.5 (11/11/2022)

* New Features & Enhancements
	- Updated base cuML to 22.02.00
        * Include ready-to-use examples for KMeans, Linear Regression,
          Nearest Neighbors, and tSVD
	- Added MVAPICH2 support for RAFT 22.02.00
        * Enabled cuML's communication engine, RAFT, to use MVAPICH2-GDR
          backend for Python and C++ cuML applications
		* KMeans, PCA, tSVD, RF, LinearModels
	    * Added RAFT-level switch between available communication backends
         (MVAPICH2 and NCCL)
	- Tested with
	    * Mellanox InfiniBand adapters (FDR, EDR and HDR200)
	    * Various x86-based multi-core platforms (AMD and Intel)
	    * NVIDIA A100, V100, and P100 GPUs

MPI4cuML v0.1 (02/17/2021)

* New Features & Enhancements
     - Based on cuML 0.15
     - MVAPICH2 support for C++ and Python APIs
        * Included use of cuML C++ CUDA-Aware MPI example for KMeans clustering
        * Enabled cuML handles to use MVAPICH2-GDR backend for Python cuML
          applications
            - KMeans, PCA, tSVD, RF, LinearModels
        * Added switch between available communication backends
          (MVAPICH2 and NCCL)
     - Built on top of mpi4py over the MVAPICH2-GDR library
     - Tested with
        * Mellanox InfiniBand adapters (FDR and HDR)
        * Various x86-based multi-core platforms (AMD and Intel)
        * NVIDIA V100 and P100 GPUs