GenerateModelPredictions: Generate model predictions function

In citronmeliss/predictionpackr: Predictionpackr

Description

This function bins model predictions and converts them from character labels to numeric labels.

Usage

GenerateModelPredictions(data, n_cores, return_cps = FALSE,
  log = FALSE, boot = FALSE, write_to_disk = FALSE,
  clean_start = FALSE, gridsearch_parallel = FALSE, is_sample = TRUE)

Arguments

data	The study data frame. No default
n_cores	Number of cores to be used in parallel gridsearch. Passed to bin.models (which, in turn, passes to SupaLarna::gridsearch.breaks). As integer. Defaults to 2 (in gridsearch.breaks)
return_cps	Logical. Function returns model cut_points if TRUE. Passed to bin.models. Defaults to TRUE.
log	Logical. If TRUE progress is logged in logfile. Defaults to FALSE.
boot	Logical. 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. If TRUE the prediction data is saved as RDS to disk. Defaults to FALSE.
clean_start	Logical. If TRUE the predictions directory and all files in it are removed before saving new stuff there. Defaults to FALSE.
gridsearch_parallel	Logical. Passed to bin.models (which, in turn, passes to SupaLarnas gridsearch.breaks). If TRUE the gridsearch is performed in parallel. Defaults to FALSE.
is_sample	Logical. Passed to bin.models. If TRUE, only a tenth of possible cut points is searched. Defaults to TRUE.
clean_start	Logical. If TRUE the predictions directory and all files in it are removed before saving new stuff there. Defaults to FALSE.

citronmeliss/predictionpackr documentation built on Feb. 10, 2020, 12:19 a.m.