R: Set acmap optimization options

RacOptimizer.options {Racmacs}

R Documentation

Set acmap optimization options

Description

This function facilitates setting options for the acmap optimizer process by returning a list of option settings.

Usage

RacOptimizer.options(
  dim_annealing = FALSE,
  method = "L-BFGS",
  maxit = 1000,
  num_basis = 10,
  armijo_constant = 1e-04,
  wolfe = 0.9,
  min_gradient_norm = 1e-06,
  factr = 1e-15,
  max_line_search_trials = 50,
  min_step = 1e-20,
  max_step = 1e+20,
  num_cores = getOption("RacOptimizer.num_cores"),
  report_progress = NULL,
  ignore_disconnected = FALSE,
  progress_bar_length = options()$width
)

Arguments

`dim_annealing`	Should dimensional annealing be performed
`method`	The optimization method to use
`maxit`	The maximum number of iterations to use in the optimizer
`num_basis`	Number of memory points to be stored (default 10).
`armijo_constant`	Controls the accuracy of the line search routine for determining the Armijo condition.
`wolfe`	Parameter for detecting the Wolfe condition.
`min_gradient_norm`	Minimum gradient norm required to continue the optimization.
`factr`	Minimum relative function value decrease to continue the optimization.
`max_line_search_trials`	The maximum number of trials for the line search (before giving up).
`min_step`	The minimum step of the line search.
`max_step`	The maximum step of the line search.
`num_cores`	The number of cores to run in parallel when running optimizations
`report_progress`	Should progress be reported
`ignore_disconnected`	Should the check for disconnected points be skipped
`progress_bar_length`	Progress bar length when progress is reported

Details

For more details, for example on "dimensional annealing" see vignette("intro-to-antigenic-cartography"). For details on optimizer settings like maxit see the underlying optimizer documentation at ensmallen.org.

Value