Asynchronous Optimization via Design Points

OptimizerAsyncDesignPoints class that implements optimization w.r.t. fixed design points. We simply search over a set of points fully specified by the ser.

Dictionary

This Optimizer can be instantiated via the dictionary mlr_optimizers or with the associated sugar function opt():

mlr_optimizers$get("async_design_points")
opt("async_design_points")

Parameters

design

data.table::data.table
Design points to try in search, one per row.

Super classes

bbotk::Optimizer -> bbotk::OptimizerAsync -> OptimizerAsyncDesignPoints

Methods

Public methods

• OptimizerAsyncDesignPoints$new()

• OptimizerAsyncDesignPoints$optimize()

• OptimizerAsyncDesignPoints$clone()

Inherited methods

• bbotk::Optimizer$format()
• bbotk::Optimizer$help()
• bbotk::Optimizer$print()

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Method new()

Creates a new instance of this R6 class.

Usage

OptimizerAsyncDesignPoints$new()

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Method optimize()

Starts the asynchronous optimization.

Usage

OptimizerAsyncDesignPoints$optimize(inst)

Arguments

inst

(OptimInstance).

Returns

data.table::data.table.

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Method clone()

The objects of this class are cloneable with this method.

Usage

OptimizerAsyncDesignPoints$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.