makeLearnerFromHyperparameters

Implements additional models, simulation tools, and interfaces as extensions to 'SPOT'.
It provides tools for hyperparameter tuning via 'keras/tensorflow', interfacing 'mlr', for performing Markov chain simulations,
and for sensitivity analysis based on sequential bifurcation methods as described in Bettonvil and Kleijnen (1996).
Furthermore, additional plotting functions for output from 'SPOT' runs are implemented.
Bartz-Beielstein T, Lasarczyk C W G, Preuss M (2005) <doi:10.1109/CEC.2005.1554761>.
Bartz-Beielstein T, Zaefferer M, Rehbach F (2021) <arXiv:1712.04076>.
Bartz-Beielstein T, Rehbach F, Sen A, Zaefferer M <arXiv:2105.14625>.
Bettonvil, B, Kleijnen JPC (1996) <doi:10.1016/S0377-2217(96)00156-7>.

Thomas Bartz-Beielstein

SPOTMisc

Misc Extensions for the 'SPOT' Package

Martin Zaefferer

Frederik Rehbach

makeLearnerFromHyperparameters function

<dl><dt>x</dt>
<dd>hyperparameter vector</dd>
<dt>cfg</dt>
<dd>configuration list</dd></dl>

Arguments

Make mlr learner from conf and hyperparameter vector — makeLearnerFromHyperparameters

<dl>

<dt>x</dt>
<dd>hyperparameter vector</dd>


<dt>cfg</dt>
<dd>configuration list</dd>

</dl>

makeLearnerFromHyperparameters: Make mlr learner from conf and hyperparameter vector

Description

Usage

Value

Arguments