antsLog-class

Register of model structures and their performance statistic, if available.

Construction and smart selection of Gaussian process models
with emphasis on treatment of functional inputs. This package
offers: (i) flexible modeling of functional-input regression
problems through the fairly general Gaussian process model; (ii)
built-in dimension reduction for functional inputs; (iii)
heuristic optimization of the structural parameters of the model
(e.g., active inputs, kernel function, type of distance).
Metamodeling background is provided in
Betancourt et al. (2020) <doi:10.1016/j.ress.2020.106870>.
The algorithm for structural parameter optimization is described
in <https://hal.archives-ouvertes.fr/hal-02532713>.

Jose Betancourt

funGp

Gaussian Process Models for Scalar and Functional Inputs

Fran<c3><a7>ois Bachoc

Thierry Klein

Deborah Idier

Jeremy Rohmer

antsLog-class function

<dl class="dl-horizontal">
<dt><code>sols</code></dt><dd>Object of class <code>"data.frame"</code>. Compendium of model structures arranged by rows. Each
column is linked to one structural parameter of the model such as the state of one variable (inactive,
active) or the type of kernel function.</dd></dl><dt><code>args</code></dt><dd>Object of class <code>"list"</code>. Compendium of model structures represented by objects of class
<code>"<a href="/link/?package=funGp&version=0.2.1" modelcall'="" data-mini-rdoc="funGp::"></a>'>modelCall"</code></dd><dt><code>fitness</code></dt><dd>Object of class <code>"numeric"</code>. Performance statistic of each model, if available.</dd>

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S4 class for log of models explored by ant colony in funGp — antsLog-class

S4 class for log of models explored by ant colony in funGp

antsLog-class: S4 class for log of models explored by ant colony in funGp

Description

Arguments

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