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SamplerUnif

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

Methods

Public methods

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.

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

paradox

Define and Work with Parameter Spaces for Complex Algorithms

v0.7.1
LGPL-3
Authors
Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Xudong Sun [aut] (<https://orcid.org/0000-0003-3269-2307>), Martin Binder [aut], Marc Becker [ctb] (<https://orcid.org/0000-0002-8115-0400>)
Initial release

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