SamplerUnif: SamplerUnif Class

In paradox: Define and Work with Parameter Spaces for Complex Algorithms

SamplerUnif Class

Description

Uniform random sampling for an arbitrary (bounded) ParamSet. Constructs 1 uniform sampler per Param, then passes them to SamplerHierarchical. Hence, also works for ParamSets sets with dependencies.

Super classes

paradox::Sampler -> paradox::SamplerHierarchical -> SamplerUnif

Methods

Public methods

• SamplerUnif$new()

• SamplerUnif$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.

Usage

SamplerUnif$new(param_set)

Arguments

param_set

(ParamSet)
Domain / support of the distribution we want to sample from. ParamSet is cloned on construction.

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Method clone()

The objects of this class are cloneable with this method.

Usage

SamplerUnif$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Other Sampler: Sampler1DCateg, Sampler1DNormal, Sampler1DRfun, Sampler1DUnif, Sampler1D, SamplerHierarchical, SamplerJointIndep, Sampler

paradox documentation built on April 1, 2023, 12:15 a.m.