OptimizerAsyncGridSearch
class that implements a grid search.
The grid is constructed as a Cartesian product over discretized values per parameter, see paradox::generate_design_grid()
.
The points of the grid are evaluated in a random order.
This Optimizer can be instantiated via the dictionary
mlr_optimizers or with the associated sugar function opt()
:
mlr_optimizers$get("async_grid_search")
opt("async_grid_search")
batch_size
integer(1)
Maximum number of points to try in a batch.
bbotk::Optimizer
-> bbotk::OptimizerAsync
-> OptimizerAsyncGridSearch
Inherited methods
optimize()
Starts the asynchronous optimization.
OptimizerAsyncGridSearch$optimize(inst)
inst
(OptimInstance).
clone()
The objects of this class are cloneable with this method.
OptimizerAsyncGridSearch$clone(deep = FALSE)
deep
Whether to make a deep clone.