Sampler: Sampler Class

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

Sampler Class

Description

This is the abstract base class for sampling objects like Sampler1D, SamplerHierarchical or SamplerJointIndep.

Public fields

param_set

(ParamSet)
Domain / support of the distribution we want to sample from.

Methods

Public methods

• Sampler$new()

• Sampler$sample()

• Sampler$format()

• Sampler$print()

• Sampler$clone()

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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., Sampler1D.

Usage

Sampler$new(param_set)

Arguments

param_set

(ParamSet)
The ParamSet to associated with this Sampler.

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Method sample()

Sample n values from the distribution.

Usage

Sampler$sample(n)

Arguments

n

(integer(1)).

Returns

Design.

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Method format()

Helper for print outputs.

Usage

Sampler$format(...)

Arguments

...

(ignored).

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Method print()

Printer.

Usage

Sampler$print(...)

Arguments

...

(ignored).

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Method clone()

The objects of this class are cloneable with this method.

Usage

Sampler$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

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

paradox documentation built on June 22, 2024, 9:37 a.m.