Objective interface where user can pass an R function that works on an data.table()
.
bbotk::Objective
-> ObjectiveRFunDt
fun
(function
)
Objective function.
new()
Creates a new instance of this R6 class.
ObjectiveRFunDt$new( fun, domain, codomain = NULL, id = "function", properties = character(), constants = ParamSet$new(), check_values = TRUE )
fun
(function
)
R function that encodes objective and expects an data.table()
as input
whereas each point is represented by one row.
domain
(paradox::ParamSet)
Specifies domain of function.
The paradox::ParamSet should describe all possible input parameters of the objective function.
This includes their id
, their types and the possible range.
codomain
(paradox::ParamSet) Specifies codomain of function. Most importantly the tags of each output "Parameter" define whether it should be minimized or maximized. The default is to minimize each component.
id
(character(1)
).
properties
(character()
).
constants
(paradox::ParamSet) Changeable constants or parameters that are not subject to tuning can be stored and accessed here.
check_values
(logical(1)
)
Should points before the evaluation and the results be checked for
validity?
eval_many()
Evaluates multiple input values received as a list, converted to a data.table()
on the
objective function.
ObjectiveRFunDt$eval_many(xss)
xss
(list()
)
A list of lists that contains multiple x values, e.g.
list(list(x1 = 1, x2 = 2), list(x1 = 3, x2 = 4))
.
data.table::data.table()
that contains one y-column for single-criteria functions
and multiple y-columns for multi-criteria functions, e.g.
data.table(y = 1:2)
or data.table(y1 = 1:2, y2 = 3:4)
.
eval_dt()
Evaluates multiple input values on the objective function supplied by the user.
ObjectiveRFunDt$eval_dt(xdt)
xdt
(data.table::data.table()
)
Set of untransformed points / points from the search space.
One point per row, e.g. data.table(x1 = c(1, 3), x2 = c(2, 4))
.
Column names have to match ids of the search_space
.
However, xdt
can contain additional columns.
data.table::data.table()] that contains one y-column for single-criteria functions
and multiple y-columns for multi-criteria functions, e.g.
data.table(y = 1:2)
or data.table(y1 = 1:2, y2 = 3:4)
.
clone()
The objects of this class are cloneable with this method.
ObjectiveRFunDt$clone(deep = FALSE)
deep
Whether to make a deep clone.