gen_superlearner

Can be "multicore", "doSNOW"/"snow" or "seq"/NULL.

parallel

cluster

How many folds to use for CV.SuperLearner

outer_cv_folds

If TRUE will output additional details during execution.

verbose

Create custom SL and CV.SL functions that automatically use
 parallelization based on the provided configuration.

Toolkit for statistical, machine learning, and targeted learning
analyses. Functionality includes loading & auto-installing packages,
standardizing datasets, creating missingness indicators, imputing missing
values, creating multicore or multinode clusters, automatic SLURM integration,
enhancing SuperLearner and TMLE with automatic parallelization, and many other
SuperLearner analysis & plotting enhancements.

gen_superlearner: Setup a SuperLearner() based on parallel configuration.

Description

Usage

Arguments

Value