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paradox (version 0.11.1)

ps: Construct a ParamSet using Short Forms

Description

The ps() short form constructor uses Domain objects (p_dbl, p_fct, ...) to construct ParamSets in a succinct and readable way.

For more specifics also see the documentation of Domain.

Usage

ps(..., .extra_trafo = NULL, .allow_dangling_dependencies = FALSE)

Value

A ParamSet object.

Arguments

...

(Domain | Param)
Named arguments of Domain or Param objects. The ParamSet will be constructed of the given Params, or of Params constructed from the given domains. The names of the arguments will be used as $id (the $id of Param arguments are ignored).

.extra_trafo

(function(x, param_set))
Transformation to set the resulting ParamSet's $trafo value to. This is in addition to any trafo of Domain objects given in ..., and will be run after transformations of individual parameters were performed.

.allow_dangling_dependencies

(logical)
Whether dependencies depending on parameters that are not present should be allowed. A parameter x having depends = y == 0 if y is not present in the ps() call would usually throw an error, but if dangling dependencies are allowed, the dependency is added regardless. This is usually a bad idea and mainly for internal use. Dependencies between ParamSets when using to_tune() can be realized using this.

See Also

Other ParamSet construction helpers: Domain, to_tune()

Examples

Run this code
pars = ps(
  a = p_int(0, 10),
  b = p_int(upper = 20),
  c = p_dbl(),
  e = p_fct(letters[1:3]),
  f = p_uty(custom_check = checkmate::check_function)
)
print(pars)

pars = ps(
  a = p_dbl(0, 1, trafo = exp),
  b = p_dbl(0, 1, trafo = exp),
  .extra_trafo = function(x, ps) {
    x$c <- x$a + x$b
    x
  }
)

# See how the addition happens after exp()ing:
pars$trafo(list(a = 0, b = 0))

pars$values = list(
  a = to_tune(ps(x = p_int(0, 1),
    .extra_trafo = function(x, param_set) list(a = x$x)
  )),
  # make 'y' depend on 'x', but they are defined in different ParamSets
  # Therefore we need to allow dangling dependencies here.
  b = to_tune(ps(y = p_int(0, 1, depends = x == 1),
    .extra_trafo = function(x, param_set) list(b = x$y),
    .allow_dangling_dependencies = TRUE
  ))
)

pars$search_space()

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