SamplerJointIndep

Create joint, independent sampler out of multiple other samplers.

datasets

Define parameter spaces, constraints and
dependencies for arbitrary algorithms, to program on such spaces. Also
includes statistical designs and random samplers. Objects are implemented
as 'R6' classes.

Michel Lang

paradox

Define and Work with Parameter Spaces for Complex Algorithms

Bernd Bischl

Jakob Richter

Xudong Sun

Martin Binder

SamplerJointIndep function

<a rd-options="R6:R6Class" href="/link/R6%3A%3AR6Class?package=paradox&version=0.1.0&to=R6%3AR6Class" data-mini-rdoc="R6:R6Class::R6::R6Class">R6::R6Class</a> inheriting from <a rd-options="" href="/link/Sampler?package=paradox&version=0.1.0" data-mini-rdoc="paradox::Sampler">Sampler</a>.

Format

<pre>smpl = SamplerJointIndep$new(samplers)
</pre>
<ul>
<li><code>samplers</code> :: <code>list()</code>
List of <a rd-options="" href="/link/Sampler?package=paradox&version=0.1.0" data-mini-rdoc="paradox::Sampler">Sampler</a> objects.</li>
</ul>

Construction

See <a rd-options="" href="/link/Sampler?package=paradox&version=0.1.0" data-mini-rdoc="paradox::Sampler">Sampler</a>.
Additionally, the class provides:<ul>
<li><code>samplers</code> :: <code>list()</code>
List of <a rd-options="" href="/link/Sampler?package=paradox&version=0.1.0" data-mini-rdoc="paradox::Sampler">Sampler</a> objects.</li>
</ul>

Fields

See <a rd-options="" href="/link/Sampler?package=paradox&version=0.1.0" data-mini-rdoc="paradox::Sampler">Sampler</a>.

Methods

SamplerJointIndep Class — SamplerJointIndep

<a rd-options='R6:R6Class' href='R6::R6Class'>R6::R6Class</a> inheriting from <a rd-options='' href='Sampler'>Sampler</a>.

<pre>smpl = SamplerJointIndep$new(samplers)
</pre>
<ul>
<li><code>samplers</code> :: <code>list()</code>
List of <a rd-options='' href='Sampler'>Sampler</a> objects.</li>
</ul>

SamplerJointIndep: SamplerJointIndep Class

Description

Arguments

Format

Construction

Fields

Methods

See Also