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Getting Started with XGBoost

  • 1.  Getting Started with XGBoost

    Posted 11-12-2021 10:13


    XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible, and portable. It implements machine learning algorithms under the Gradient Boosting framework.  

    This release of RocketCE is based on Release OpenCE v1.3.1 and it includes XGBoost 1.4.2. 

    These packages are supported for both Power 9 and Power 10 Systems of IBM with linux-ppc64le. 


    CPU Support 

    RocketCE includes CPU only variant of XGBoost which is built without GPU support. 


    GPU Support 

    This version of XGBoost will not support GPU variant. Support of GPU variant will be provided in coming releases. For more information, refer main page of OpenCE 


    Installation instructions 

    CPU Variant 

    To install XGBoost of CPU variant, run the following command: 

    • conda install -c rocketce xgboost 

     Once the installation is success, validate the installation by running the following command which lists the package xgboost which was pulled from rocketce channel .

    • Conda list xgboost 


    XGBoost conda packages 

    XGBoost package from RocketCE channel also includes libxgboost conda package.

    Rajesh Nukala
    Rocket Internal - All Brands