Syntactic Sugar for Asynchronous Optimization Instance Construction

Function to construct an OptimInstanceAsyncSingleCrit and OptimInstanceAsyncMultiCrit.

Usage

oi_async(
  objective,
  search_space = NULL,
  terminator,
  check_values = FALSE,
  callbacks = NULL,
  rush = NULL
)

Arguments

objective: (Objective)
Objective function.
search_space: (paradox::ParamSet)
Specifies the search space for the Optimizer. The paradox::ParamSet describes either a subset of the domain of the Objective or it describes a set of parameters together with a trafo function that transforms values from the search space to values of the domain. Depending on the context, this value defaults to the domain of the objective.
terminator: Terminator
Termination criterion.
check_values: (logical(1))
Should points before the evaluation and the results be checked for validity?
callbacks: (list of mlr3misc::Callback)
List of callbacks.
rush: (Rush)
If a rush instance is supplied, the tuning runs without batches.

Examples

# example only runs if a Redis server is available
if (mlr3misc::require_namespaces(c("rush", "redux", "mirai"), quietly = TRUE) &&
  redux::redis_available()) {
# define the objective function
fun = function(xs) {
  list(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")
)

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

# start workers
rush::rush_plan(worker_type = "remote")
mirai::daemons(1)

# initialize instance
instance = oi_async(
  objective = objective,
  terminator = trm("evals", n_evals = 20)
)
}