Read parameters in PCS (AClib) format and write them in irace format.

Usage

read_pcs_file(file, digits = 4L, debugLevel = 0L, text)

Arguments

file: character(1)
Filename containing the definitions of the parameters to be tuned.
digits: integer(1)
The number of decimal places to be considered for real-valued parameters.
debugLevel: integer(1)
Larger values produce more verbose output.
text: character(1)
If file is not supplied and this is, then parameters are read from the value of text via a text connection.

Value

A string representing the parameters in irace format.

Details

Either file or text must be given. If file is given, the parameters are read from the file file. If text is given instead, the parameters are read directly from the text character string. In both cases, the parameters must be given (in text or in the file whose name is file) in the expected form. See the documentation for details. If none of these parameters is given, irace will stop with an error.

FIXME: Multiple conditions and default configuration are currently ignored. See https://github.com/MLopez-Ibanez/irace/issues/31

References

Frank Hutter, Manuel López-Ibáñez, Chris Fawcett, Marius Thomas Lindauer, Holger H. Hoos, Kevin Leyton-Brown, and Thomas Stützle. AClib: A Benchmark Library for Algorithm Configuration. In P. M. Pardalos, M. G. C. Resende, C. Vogiatzis, and J. L. Walteros, editors, Learning and Intelligent Optimization, 8th International Conference, LION 8, volume 8426 of Lecture Notes in Computer Science, pages 36–40. Springer, Heidelberg, 2014.

Author

Manuel López-Ibáñez

Examples

 ## Read the parameters directly from text
 pcs_table <- '
 # name       domain
 algorithm    {as,mmas,eas,ras,acs}[as]
 localsearch  {0, 1, 2, 3}[0]
 alpha        [0.00, 5.00][1]
 beta         [0.00, 10.00][1]
 rho          [0.01, 1.00][0.95]
 ants         [1, 100][10]il
 q0           [0.0, 1.0][0]
 rasrank      [1, 100][1]i
 elitistants  [1, 750][1]i
 nnls         [5, 50][5]i
 dlb          {0, 1}[1] 
 Conditionals:
 q0 | algorithm in {acs}
 rasrank | algorithm in {ras}
 elitistants | algorithm in {eas}
 nnls | localsearch in {1,2,3}
 dlb | localsearch in {1,2,3} 
 {alpha=0, beta=0}'
 parameters_table <- read_pcs_file(text=pcs_table)
 cat(parameters_table)
#> 
#> # name       domain
#> algorithm "algorithm" c (as,mmas,eas,ras,acs)
#> localsearch "localsearch" c (0, 1, 2, 3)
#> alpha "alpha" r (0.00, 5.00)
#> beta "beta" r (0.00, 10.00)
#> rho "rho" r (0.01, 1.00)
#> ants "ants" i,log (1, 100)
#> q0 "q0" r (0.0, 1.0) | algorithm == "acs"
#> rasrank "rasrank" i (1, 100) | algorithm == "ras"
#> elitistants "elitistants" i (1, 750) | algorithm == "eas"
#> nnls "nnls" i (5, 50) | localsearch %in% c("1","2","3")
#> dlb "dlb" c (0, 1) | localsearch %in% c("1","2","3")
#> 
#> [forbidden]
#> (alpha == 0) & (beta == 0)
 parameters <- readParameters(text=parameters_table)
#> # 2024-10-15 07:11:11 UTC: 1 expression(s) specifying forbidden configurations read.
 str(parameters)
#> Classes 'ParameterSpace', 'R6' <ParameterSpace>
#>   Public:
#>     .params: list
#>     as_character: function () 
#>     clone: function (deep = FALSE) 
#>     conditions: list
#>     depends: list
#>     domains: list
#>     forbid_configurations: function (x) 
#>     forbidden: list
#>     get: function (x) 
#>     get_ordered: function () 
#>     hierarchy: 1 1 1 1 1 1 2 2 2 2 2
#>     initialize: function (..., forbidden = NULL, verbose = 0L) 
#>     isFixed: FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FA ...
#>     names: algorithm localsearch alpha beta rho ants q0 rasrank eli ...
#>     names_fixed: 
#>     names_numeric: alpha beta rho ants q0 rasrank elitistants nnls
#>     names_variable: algorithm localsearch alpha beta rho ants q0 rasrank eli ...
#>     nbFixed: 0
#>     nbParameters: 11
#>     nbVariable: 11
#>     switches: algorithm localsearch alpha beta rho ants q0 rasrank eli ...
#>     types: c c r r r i r i i i c