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Organizations

@dlab-berkeley

Pinned repositories

  1. ecpolley/SuperLearner

    Current version of the SuperLearner R package

    R 138 47

  2. superlearner-guide

    SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.

    HTML 28 7

  3. dlab-berkeley/MachineLearningWG

    D-Lab's Machine Learning Working Group at UC Berkeley

    HTML 27 13

  4. varimpact

    Variable importance through targeted causal inference, with Alan Hubbard

    R 24 6

  5. dlab-berkeley/Machine-Learning-in-R

    4-hour tutorial on machine learning in R: knn, decision trees, random forest, boosting, superlearner

    HTML 17 6

  6. hpc-savio-xsede

    Multicore and multi-node parallel R computation via SLURM on the Savio cluster at UC Berkeley, plus XSEDE

    Shell 7 1

1,190 contributions in the last year

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Contribution activity

September 2018

Created an issue in PhilippPro/OOBCurve that received 3 comments

Parallelize?

Hello, Do you know if there's a way to parallelize the OOBCurve analysis? I am analyzing a large dataset and see that it's using only one core, but…

3 comments
58 contributions in private repositories Sep 1 – Sep 24

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