updateParVals

[<code><a rd-options="" href="/link/ParamSet?package=ParamHelpers&version=1.10" data-mini-rdoc="ParamHelpers::ParamSet">ParamSet</a></code>]
Parameter set.

par.set

[<code>list</code>]
Param Values to be updated.

old.par.vals

[<code>list</code>]
New Param Values to update the <code>old.par.vals</code>.

new.par.vals

[<code>logical</code>]
Whether a warning should be shown, if a param setting from <code>old.par.vals</code> is dropped.
Default is <code>FALSE</code>.

warn

Update the values of a given parameter setting with a new parameter setting.
 Settings that do not meet the requirements anymore will be deleted from the first given parameter setting.
 Default values of the Param Set are respected to chek if the new param settings meet the requirements.

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.

Bernd Bischl

ParamHelpers

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

Michel Lang

Jakob Bossek

Daniel Horn

Karin Schork

Jakob Richter

Pascal Kerschke

updateParVals function

[<code><a rd-options='' href='ParamSet'>ParamSet</a></code>]
Parameter set.

updateParVals: Insert par.vals to old ones with meeting requirements

Description

Usage

Arguments

Value