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XGBoost: Difference between revisions
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(Created page with "<translate> '''[https://xgboost.readthedocs.io/en/latest/ XGBoost]''' ''is an optimized distributed gradient boosting library designed to be highly efficient, flexible and por...") |
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== Python Module == | == Python Module == | ||
A very common way to use XGBoost is though its python interface, provided as the <code>xgboost</code> python module. Compute Canada provides an optimized, multi-GPU enabled build as a [[Python]] wheel. The reader is recommended to familiarize oneself with the basics of creating a python environment before starting and XGBoost project. | A very common way to use XGBoost is though its python interface, provided as the <code>xgboost</code> python module. Compute Canada provides an optimized, multi-GPU enabled build as a [[Python]] wheel. The reader is recommended to familiarize oneself with the basics of creating a python environment before starting and XGBoost project. | ||
Currently, version 0.81 of XGBoost is available. The following commands illustrate the needed package and module: | |||
{{Commands| | |||
prompt=(myvenv) name@server $ | |||
|module load nixpkgs/16.09 intel/2018.3 cuda/10.0.130 | |||
|module load nccl/2.3.5 | |||
|pip install xgboost==0.81 --no-index | |||
}} | |||
</translate> | </translate> | ||