bbotk (version 0.5.0)

Codomain: Codomain of Function

Description

A set of Param objects defining the codomain of a function. The parameter set must contain at least one target parameter tagged with "minimize" or "maximize". The codomain may contain extra parameters which are ignored when calling the Archive methods $best(), $nds_selection() and $cols_y. This class is usually constructed internally from a paradox::ParamSet when Objective is initialized.

Super class

paradox::ParamSet -> Codomain

Active bindings

is_target

(named logical()) Position is TRUE for target Params.

target_length

(integer()) Returns number of target Params.

target_ids

(character()) Number of contained target Params.

target_tags

(named list() of character()) Tags of target Params.

maximization_to_minimization

(integer()) Returns a numeric vector with values -1 and 1. Multiply with the outcome of a maximization problem to turn it into a minimization problem.

Methods

Public methods

• Codomain$new()

• Codomain$clone()

• paradox::ParamSet$add()

• paradox::ParamSet$add_dep()

• paradox::ParamSet$assert()

• paradox::ParamSet$assert_dt()

• paradox::ParamSet$check()

• paradox::ParamSet$check_dt()

• paradox::ParamSet$format()

• paradox::ParamSet$get_values()

• paradox::ParamSet$ids()

• paradox::ParamSet$print()

• paradox::ParamSet$search_space()

• paradox::ParamSet$subset()

• paradox::ParamSet$test()

• paradox::ParamSet$test_dt()

Method new()

Creates a new instance of this R6 class.

Usage

Codomain$new(params = named_list())

Arguments

params

(list()) List of Param, named with their respective ID. Parameters are cloned.

Method clone()

The objects of this class are cloneable with this method.

Usage

Codomain$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

# NOT RUN {
# define objective function
fun = function(xs) {
  c(y = -(xs[[1]] - 2)^2 - (xs[[2]] + 3)^2 + 10)
}

# set domain
domain = ps(
  x1 = p_dbl(-10, 10),
  x2 = p_dbl(-5, 5)
)

# set codomain
codomain = ps(
  y = p_dbl(tags = "maximize"),
  time = p_dbl()
)

# create Objective object
objective = ObjectiveRFun$new(
  fun = fun,
  domain = domain,
  codomain = codomain,
  properties = "deterministic"
)
# }