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paradox

Package website: release | dev

Universal Parameter Space Description and Tools.

Installation

remotes::install_github("mlr-org/paradox")

Usage

Create a simple ParamSet using all supported Parameter Types:

  • integer numbers ("int")
  • real-valued numbers ("dbl")
  • truth values TRUE or FALSE ("lgl")
  • categorical values from a set of possible strings ("fct")
  • further types are only possible by using transformations.
ps = ParamSet$new(
  params = list(
    ParamInt$new(id = "z", lower = 1, upper = 3),
    ParamDbl$new(id = "x", lower = -10, upper = 10),
    ParamLgl$new(id = "flag"),
    ParamFct$new(id = "methods", levels = c("a","b","c"))
  )
)

Draw random samples / create random design:

generate_design_random(ps, 3)
#> <Design> with 3 rows:
#>    z         x  flag methods
#> 1: 1  7.660348 FALSE       b
#> 2: 3  8.809346 FALSE       c
#> 3: 2 -9.088870 FALSE       b

Generate LHS Design:

requireNamespace("lhs")
#> Loading required namespace: lhs
generate_design_lhs(ps, 3)
#> <Design> with 3 rows:
#>    z         x  flag methods
#> 1: 1 -3.984673  TRUE       b
#> 2: 2  7.938035 FALSE       a
#> 3: 3  1.969783  TRUE       c

Generate Grid Design:

generate_design_grid(ps, resolution = 2)
#> <Design> with 24 rows:
#>     z   x  flag methods
#>  1: 1 -10  TRUE       a
#>  2: 1 -10  TRUE       b
#>  3: 1 -10  TRUE       c
#>  4: 1 -10 FALSE       a
#>  5: 1 -10 FALSE       b
#>  6: 1 -10 FALSE       c
#>  7: 1  10  TRUE       a
#>  [ reached getOption("max.print") -- omitted 18 rows ]

Properties of the parameters within the ParamSet:

ps$ids()
#> [1] "z"       "x"       "flag"    "methods"
ps$levels
#> $z
#> NULL
#>
#> $x
#> NULL
#>
#> $flag
#> [1]  TRUE FALSE
#>
#> $methods
#> [1] "a" "b" "c"
ps$nlevels
#>       z       x    flag methods
#>       3     Inf       2       3
ps$is_number
#>       z       x    flag methods
#>    TRUE    TRUE   FALSE   FALSE
ps$lower
#>       z       x    flag methods
#>       1     -10      NA      NA
ps$upper
#>       z       x    flag methods
#>       3      10      NA      NA

Parameter Checks

Check that a parameter satisfies all conditions of a ParamSet, using $test() (returns FALSE on mismatch), $check() (returns error description on mismatch), and $assert() (throws error on mismatch):

ps$test(list(z = 1, x = 1))
#> [1] TRUE
ps$test(list(z = -1, x = 1))
#> [1] FALSE
ps$check(list(z = -1, x = 1))
#> [1] "z: Element 1 is not >= 1"
ps$assert(list(z = -1, x = 1))
#> Error in ps$assert(list(z = -1, x = 1)): Assertion on 'list(z = -1, x = 1)' failed: z: Element 1 is not >= 1.

Transformations

Transformations are functions with a fixed signature.

  • x A named list of parameter values
  • param_set the ParamSet used to create the design

Transformations can be used to change the distributions of sampled parameters. For example, to sample values between 23 and 23 in a log2-uniform distribution, one can sample uniformly between -3 and 3 and exponentiate the random value inside the transformation.

ps = ParamSet$new(
  params = list(
    ParamInt$new(id = "z", lower = -3, upper = 3),
    ParamDbl$new(id = "x", lower = 0, upper = 1)
  )
)
ps$trafo = function(x, param_set) {
  x$z = 2^x$z
  return(x)
}
ps_smplr = SamplerUnif$new(ps)
x = ps_smplr$sample(2)
xst = x$transpose()
xst
#> [[1]]
#> [[1]]$z
#> [1] 0.125
#>
#> [[1]]$x
#> [1] 0.4137243
#>
#>
#> [[2]]
#> [[2]]$z
#> [1] 0.5
#>
#> [[2]]$x
#> [1] 0.3688455

Further documentation can be found in the mlr3book.

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Version

Install

install.packages('paradox')

Monthly Downloads

6,589

Version

0.7.0

License

LGPL-3

Issues

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Stars

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Maintainer

Michel Lang

Last Published

January 23rd, 2021

Functions in paradox (0.7.0)

ParamDbl

Numerical Parameter
NO_DEF

Extra data type for "no default value"
Domain

Domain: Parameter Range without an Id
ParamInt

Integer Parameter
ParamFct

Factor Parameter
Condition

Dependency Condition
Design

Design of Configurations
Param

Param Class
ParamLgl

Logical Parameter
Sampler1DCateg

Sampler1DCateg Class
ParamSet

ParamSet
Sampler

Sampler Class
SamplerUnif

SamplerUnif Class
ParamSetCollection

ParamSetCollection
Sampler1DNormal

Sampler1DNormal Class
SamplerJointIndep

SamplerJointIndep Class
SamplerHierarchical

SamplerHierarchical Class
Sampler1D

Sampler1D Class
Sampler1DRfun

Sampler1DRfun Class
to_tune

Indicate that a Parameter Value should be Tuned
transpose

transpose
assert_param

Assertions for Params and ParamSets
ParamUty

Untyped Parameter
generate_design_random

Generate a Random Design
paradox-package

paradox: Define and Work with Parameter Spaces for Complex Algorithms
Sampler1DUnif

Sampler1DUnif Class
generate_design_grid

Generate a Grid Design
ps

Construct a ParamSet using Short Forms
generate_design_lhs

Generate a Space-Filling LHS Design
reexports

Objects exported from other packages