Batch Optimizer

Abstract OptimizerBatch class that implements the base functionality each OptimizerBatch subclass must provide. A OptimizerBatch object describes the optimization strategy. A OptimizerBatch object must write its result to the $assign_result() method of the OptimInstance at the end in order to store the best point and its estimated performance vector.

Progress Bars

$optimize() supports progress bars via the package progressr combined with a Terminator. Simply wrap the function in progressr::with_progress() to enable them. We recommend to use package progress as backend; enable with progressr::handlers("progress").

See also

OptimizerBatchDesignPoints, OptimizerBatchGridSearch, OptimizerBatchRandomSearch

Super class

Optimizer -> OptimizerBatch

Methods

Public methods

• OptimizerBatch$optimize()

• OptimizerBatch$clone()

Inherited methods

• Optimizer$format()
• Optimizer$help()
• Optimizer$initialize()
• Optimizer$print()

---

OptimizerBatch$optimize()

Performs the optimization and writes optimization result into OptimInstanceBatch. The optimization result is returned but the complete optimization path is stored in ArchiveBatch of OptimInstanceBatch.

Usage

OptimizerBatch$optimize(inst)

Arguments

inst

(OptimInstanceBatch).

Returns

data.table::data.table.

---

OptimizerBatch$clone()

The objects of this class are cloneable with this method.

Usage

OptimizerBatch$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.