dg_run_parallel: A wrapper for parallel exectuion of dg_estimate() or...

In jschmiedel/tempura: Fit free energies of folding and binding from doubledeepPCA data

Description

A wrapper for parallel exectuion of dg_estimate() or dg_bootstrap()

Usage

dg_run_parallel(
  dataset_folder,
  model_name,
  which_test_set = 0,
  iterations,
  Ncores = 8,
  stage = "model"
)

Arguments

dataset_folder	absolute path to the dataset folder, is created if non-existent
model_name	name of the model that should be computed on the dataset
which_test_set	integer, (for stage = "model" only): test_set to exclude from model training, default = 0, i.e. will be chosen depending on iteration parameter
iterations	a vector of integers to iterate over in dg_estimate(iteration = iterations[i])
Ncores	integer, how many cores to use for parallelization
stage	"model" or "bootstrap"

Value

writes the model parameters as .txt file to $dataset_folder/$model_name/tmp/dg_model_$testset_$iteration

jschmiedel/tempura documentation built on Nov. 13, 2020, 3:53 a.m.