Sample a random value from a parameter or a parameter set uniformly.

Dependent parameters whose requirements are not satisfied are represented by a scalar NA in the output.

sampleValue(par, discrete.names = FALSE, trafo = FALSE)

Arguments

par	(Param \| ParamSet) Parameter or parameter set.
discrete.names	(`logical(1)`) Should names be sampled for discrete parameters or values instead? Default is code FALSE.
trafo	(`logical(1)`) Transform all parameters by using theirs respective transformation functions. Default is `FALSE`.

Value

The return type is determined by the type of the parameter. For a set a named list of such values in the correct order is returned.

Examples

# bounds are necessary here, can't sample with Inf bounds:
u = makeNumericParam("x", lower = 0, upper = 1)
# returns a random number between 0 and 1:
sampleValue(u)
#> [1] 0.527917

p = makeDiscreteParam("x", values = c("a", "b", "c"))
# can be either "a", "b" or "c"
sampleValue(p)
#> [1] "b"

p = makeIntegerVectorParam("x", len = 2, lower = 1, upper = 5)
# vector of two random integers between 1 and 5:
sampleValue(p)
#> [1] 2 3

ps = makeParamSet(
  makeNumericParam("x", lower = 1, upper = 10),
  makeIntegerParam("y", lower = 1, upper = 10),
  makeDiscreteParam("z", values = 1:2)
)
sampleValue(ps)
#> $x
#> [1] 9.28005
#> 
#> $y
#> [1] 5
#> 
#> $z
#> [1] 1
#>