Sampler1D: Sampler1D Class

In mlr-org/phng: Define and Work with Parameter Spaces for Complex Algorithms

Sampler1D Class

Description

1D sampler, abstract base class for Sampler like Sampler1DUnif, Sampler1DRfun, Sampler1DCateg and Sampler1DNormal.

Super class

paradox::Sampler -> Sampler1D

Active bindings

param

(ParamSet)
Returns the one-dimensional ParamSet that is sampled from.

Methods

Public methods

• Sampler1D$new()

• Sampler1D$clone()

Inherited methods

• paradox::Sampler$format()
• paradox::Sampler$print()
• paradox::Sampler$sample()

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Method new()

Creates a new instance of this R6 class.

Note that this object is typically constructed via derived classes, e.g., Sampler1DUnif.

Usage

Sampler1D$new(param)

Arguments

param

(ParamSet)
Domain / support of the distribution we want to sample from. Must be one-dimensional.

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Method clone()

The objects of this class are cloneable with this method.

Usage

Sampler1D$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Other Sampler: Sampler1DCateg, Sampler1DNormal, Sampler1DRfun, Sampler1DUnif, SamplerHierarchical, SamplerJointIndep, SamplerUnif, Sampler

mlr-org/phng documentation built on April 22, 2024, 4:34 p.m.