aitoa.load.inst.dir: Load an Instance Directory

In thomasWeise/aitoaEvaluate: An R Package for Evaluating the aitoa Results

Description

Load all the log files in a directory

Usage

aitoa.load.inst.dir(
  inst.dir,
  keep.columns = c("fes", "t", "f"),
  make.time.unique = FALSE,
  f.must.be.improving = TRUE,
  max.runs.to.load = NA_integer_
)

Arguments

inst.dir	the instance directory
keep.columns	the columns to keep, any vector containing elements "t" (for time), "f" (for the objective value), and "fes" (for the consumed FEs)
make.time.unique	should we make the time indices unique (except maybe for the first and last point)? This makes sense when we want to plot diagrams over a time axis, as we then have removed redundant points right away. If make.time.unique==FALSE, then there may be multiple improvements at the same time index due to the resolution of the computer clock (while each improvement will definitely have a unique FE).
f.must.be.improving	true if the logged objective values must be strictly improving? This is the default way logs are generated by aitoa. However, you can also create a log where every single sampled solution is logged, so then you must set f.must.be.improving=FALSE to load the data.
max.runs.to.load	an optional limit for the maximum number of runs to load

Value

a list of data frames, each loaded with aitoa.load.log.file, where the "names" are the random seeds

thomasWeise/aitoaEvaluate documentation built on Dec. 6, 2020, 1:22 p.m.