| ContextBatch | R Documentation |
A CallbackBatch accesses and modifies data during the optimization via the ContextBatch.
See the section on active bindings for a list of modifiable objects.
See callback_batch() for a list of stages which that ContextBatch.
mlr3misc::Context -> ContextBatch
instance(OptimInstance).
optimizer(Optimizer).
xdt(data.table::data.table)
The points of the latest batch in instance$eval_batch().
Contains the values in the search space i.e. transformations are not yet applied.
result_xdt(data.table::data.table)
The xdt passed to instance$assign_result().
result_y(numeric(1))
The y passed to instance$assign_result().
Only available for single criterion optimization.
result_ydt(data.table::data.table)
The ydt passed to instance$assign_result().
Only available for multi criterion optimization.
result_extra(data.table::data.table)
Additional information about the result passed to instance$assign_result().
result(data.table::data.table)
The result of the optimization in instance$assign_result().
new()Creates a new instance of this R6 class.
ContextBatch$new(inst, optimizer)
inst(OptimInstance).
optimizer(Optimizer).
clone()The objects of this class are cloneable with this method.
ContextBatch$clone(deep = FALSE)
deepWhether to make a deep clone.
CallbackBatch
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