generateDesignOfDefaults: Generates a design with the defaults of a parameter set.

In berndbischl/ParamHelpers: Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning

Generates a design with the defaults of a parameter set.

Description

The following types of columns are created:

numeric(vector)	numeric
integer(vector)	integer
discrete(vector)	factor (names of values = levels)
logical(vector)	logical

This will create a design containing only one point at the default values of the supplied param set. In most cases you will combine the resulting data.frame with a different generation function e.g. generateDesign(), generateRandomDesign() or generateGridDesign(). This is useful to force an evaluation at the default location of the parameters while still generating a design. Parameters default values, whose conditions (requires) are not fulfilled will be set to NA in the result.

Usage

generateDesignOfDefaults(par.set, trafo = FALSE)

Arguments

par.set	ParamSet Parameter set.
trafo	(logical(1)) Transform all parameters by using theirs respective transformation functions. Default is FALSE.

Value

data.frame. Columns are named by the ids of the parameters. If the par.set argument contains a vector parameter, its corresponding column names in the design are the parameter id concatenated with 1 to dimension of the vector. The result will have an logical(1) attribute “trafo”, which is set to the value of argument trafo.

berndbischl/ParamHelpers documentation built on Dec. 25, 2024, 2:19 p.m.