generate.predictions.bssamples: Function to generate predictions on each sample

In itslwg/SupaLarna: Package for the SuperLearner vs clincians study

Description

This makes predictions on the input samples using a prediciton function as parameter.

Usage

generate.predictions.bssamples(samples,
  prediction_func = "predictions.with.superlearner", parallel = FALSE,
  n_cores = NULL, log = TRUE, boot = FALSE, write_to_disk = FALSE)

Arguments

samples	Bootstrap samples as prepared by prep.bssamples. No default.
prediction_func	Name of function that generates predictions. Defaults to "predictions.with.superlearner"
parallel	Logical. If TRUE the training will be run in parallel. Defaults to FALSE.
n_cores	Integer. The number of cores to use for parallel computing. Defaults to NULL.
log	Logical. Passed to predictions.with.superlearner. If TRUE progress is logged in logfile. Defaults to TRUE.
boot	Logical. Passed to predictions.with.superlearner. Affects only what is printed to logfile. If TRUE prepped_sample is assumed to be a bootstrap sample. Defaults to FALSE.
write_to_disk	Logical. Passed to predictions.with.superlearner. If TRUE the prediction data is saved as RDS to disk. Defaults to FALSE

itslwg/SupaLarna documentation built on Aug. 2, 2020, 1 a.m.