Base Learner Teams

[kyle-messier]

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[kyle-messier]

1. xgboost: @eva0marques @Sanisha003
2. [C]NN: @sigmafelix @sigmafelix
3. prestoGP: @dzilber @dawranadeep

[sigmafelix]

GPU settings

• Assumption: we are in a HPC interactive session

1. XGBoost

• Setting up a user library path where you want (in my case, ~/r-libs)
• Download prebuilt GPU version library at https://github.com/dmlc/xgboost/releases/tag/v2.0.3
• Run command R CMD INSTALL [downloaded tarball file path] --library=~/r-libs
• Bind CUDA (please refer to the post on Teams)

2. Brulee

• Bind CUDA
• Install PyTorch (*note -- R torch currently supports CUDA 11.8 is supported on HPC)

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

• In R, run pak::pak("tidymodels/brulee@gpu")