trafos

trafoLog

trafoSqrt

[<code>numeric(1)</code>]
The base with respect to which logarithms are computed.
Default is <code>10</code>.

base

[<code>character(1)</code>]
What should be done, if negative values occur? Setting this option to
&#8220;warn&#8221;, which is the default, shifts the function. &#8220;error&#8221;
stops the process immediately.

handle.violations

<ul>
<li>logTrafo Natural logarithm.</li>
<li>sqrtTrafo Square root.</li>
</ul>If negative values occur and the trafo function can handle only positive values,
a shift of the form x - min(x) + 1 is performed prior to the transformation if the
argument <code>handle.violations</code> is set to &#8220;warn&#8221; which is the default
value.

Flexible and comprehensive R toolbox for model-based optimization
('MBO'), also known as Bayesian optimization. It implements the Efficient
Global Optimization Algorithm and is designed for both single- and multi-
objective optimization with mixed continuous, categorical and conditional
parameters. The machine learning toolbox 'mlr' provide dozens of regression
learners to model the performance of the target algorithm with respect to
the parameter settings. It provides many different infill criteria to guide
the search process. Additional features include multi-point batch proposal,
parallel execution as well as visualization and sophisticated logging
mechanisms, which is especially useful for teaching and understanding of
algorithm behavior. 'mlrMBO' is implemented in a modular fashion, such that
single components can be easily replaced or adapted by the user for specific
use cases.

trafos: Transformation methods.

Description

Usage

Arguments

Format