repairPoint

Clips values outside of box constraints to bounds.

Functions for parameter descriptions and operations in
black-box optimization, tuning and machine learning. Parameters can be
described (type, constraints, defaults, etc.), combined to parameter
sets and can in general be programmed on. A useful OptPath object
(archive) to log function evaluations is also provided.

Martin Binder

ParamHelpers

Helpers for Parameters in Black-Box Optimization, Tuning and
Machine Learning

Bernd Bischl

Michel Lang

Jakob Richter

Jakob Bossek

Daniel Horn

Karin Schork

Pascal Kerschke

repairPoint function

<dl><dt>par.set</dt>
<dd>ParamSet 
Parameter set.</dd>
<dt>x</dt>
<dd><a href="/link/list?package=ParamHelpers&version=1.14.2" data-mini-rdoc="ParamHelpers::list">list</a> 
List of parameter values. Must be in correct order.
Values corresponding to non-numeric/integer types are left unchanged.</dd>
<dt>warn</dt>
<dd>(<code>logical(1)</code>) 
Boolean indicating whether a warning should be printed each time a value is repaired.
Default is <code>FALSE</code>.</dd></dl>

Arguments

Repairs values of numeric and integer parameters out side of constraints. — repairPoint

<dl>

<dt>par.set</dt>
<dd>ParamSet 
Parameter set.</dd>


<dt>x</dt>
<dd><a href='https://rdrr.io/r/base/list.html'>list</a> 
List of parameter values. Must be in correct order.
Values corresponding to non-numeric/integer types are left unchanged.</dd>


<dt>warn</dt>
<dd>(<code>logical(1)</code>) 
Boolean indicating whether a warning should be printed each time a value is repaired.
Default is <code>FALSE</code>.</dd>

</dl>

repairPoint: Repairs values of numeric and integer parameters out side of constraints.

Description

Usage

Value

Arguments